October 2022 - Corpora

3-year PhD position in Automatic Argumentation Mining in French Legal Decisions (Inria Lille, University of Lille, and LexisNexis France)
by Pascal Denis 10 Nov '23

10 Nov '23

Hi there, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- We invite applications for a 3-year PhD position co-funded by Inria, the French national research institute in Computer Science and Applied Mathematics, and LexisNexis France, leader of legal information in France and subsidiary of the RELX Group. The overall objective of this project is to develop an automated system for detecting argumentation structures in French legal decisions, using recent machine learning-based approaches (i.e. deep learning approaches). In the general case, these structures take the form of a directed labeled graph, whose nodes are the elements of the text (propositions or groups of propositions, not necessarily contiguous) which serve as components of the argument, and edges are relations that signal the argumentative connection between them (e.g., support, offensive). By revealing the argumentation structure behind legal decisions, such a system will provide a crucial milestone towards their detailed understanding, their use by legal professionals, and above all contributes to greater transparency of justice. The main challenges and milestones of this project start with the creation and release of a large-scale dataset of French legal decisions annotated with argumentation structures. To minimize the manual annotation effort, we will resort to semi-supervised and transfer learning techniques to leverage existing argument mining corpora, such as the European Court of Human Rights (ECHR) corpus, as well as annotations already started by LexisNexis. Another promising research direction, which is likely to improve over state-of-the-art approaches, is to better model the dependencies between the different sub-tasks (argument span detection, argument typing, etc.) instead of learning these tasks independently. A third research avenue is to find innovative ways to inject the domain knowledge (in particular the rich legal ontology developed by LexisNexis) to enrich enrich the representations used in these models. Finally, we would like to take advantage of other discourse structures, such as coreference and rhetorical relations, conceived as auxiliary tasks in a multi-tasking architecture. The successful candidate holds a Master's degree in computational linguistics, natural language processing, machine learning, ideally with prior experience in legal document processing and discourse processing. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work at the interplay between academia and industry. The position is affiliated with the MAGNET [1], a research group at Inria, Lille, which has expertise in Machine Learning and Natural Language Processing, in particular Discourse Processing. The PhD student will also work in close collaboration with the R&D team at LexisNexis France, who will provide their expertise in the legal domain and the data they have collected. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 November 2022 or soon thereafter, for a total of 3 full years. Best regards, Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://www.lexisnexis.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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Core metadata scheme for learner corpora - feedback needed!
by Magali Paquot 30 Oct '23

30 Oct '23

Dear colleagues, Last month, we shared the result of our collaborative work on a core metadata scheme for learner corpora with LCR2022 participants. Our proposal builds on Granger and Paquot (2017)'s first attempt to design such a scheme and during our presentation, we explained the rationale for expanding on the initial proposal and discussed selected aspects of the revised scheme. Our proposal is available at https://docs.google.com/spreadsheets/d/1-RbX5iUCUtCBkZU9Rfk-kv-Vzc--F-eUW2O…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We firmly believe that our efforts to develop a core metadata scheme for learner corpora will only be successful to the extent that (1) the LCR community is given the opportunity to engage with our work in various ways (provide feedback on the general structure of the scheme, the list of variables that we identified as core and their operationalization; test the metadata on other learner corpora; use the scheme to start a new corpus compilation, etc.) and (2) the core metadata scheme is the result of truly collaborative work. As mentioned at LCR2022, we will be collecting feedback on the metadata scheme until the end of October. The online feedback form is available at: https://docs.google.com/document/d/1NeDUuxGJlPSJI9wHVA1xgGM-aV8jXTa8Qlb45K-…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We'd like to thank all the colleagues who already got back to us (at LCR2022, by email or via the online form). We also thank them for their appreciation and enthusiasm for our work! We'd also like to encourage more colleagues (and particularly those of you who have experience in learner corpus compilation) to provide feedback! We need help in finalizing the core metadata scheme to make sure that it can be applied in all learner compilation contexts. In short, we need you to make sure the scheme meets the needs of the LCR community at large. With very best wishes, Magali Paquot (also on behalf of Alexander König, Jennifer-Carmen Frey, and Egon W. Stemle) Reference Granger, S. & M. Paquot (2017). Towards standardization of metadata for L2 corpora. Invited talk at the CLARIN workshop on Interoperability of Second Language Resources and Tools, 6-8 December 2017, University of Gothenburg, Sweden. Dr. Magali Paquot Centre for English Corpus Linguistics Institut Langage et Communication UCLouvain https://perso.uclouvain.be/magali.paquot/

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New articles for Asia Pacific Journal of Corpus Research (APJCR) Vol. 3, No. 1 are available online (Open Access)
by Prof CK Jung 08 Jul '23

08 Jul '23

Dear all Just wanted to let you know that APJCR Vol. 3, No. 1 is now available to view online. http://icr.or.kr/ejournals-apjcr CK --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Department of English Language and Literature, Incheon National University, *South Korea* Vice President | The Korea Association of Primary English Education (KAPEE), *South Korea* Vice President | The Korea Association of Secondary English Education (KASEE), *South Korea* Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor | Asia Pacific Journal of Corpus Research, ICR, *International* ( http://icr.or.kr/apjcr) Deputy Editor | Korean Journal of English Language and Linguistics, KASELL, *South Korea* Editorial Board | Corpora, Edinburgh University Press, *UK* Editorial Board | English Today, Cambridge University Press, *UK* E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129 H(EN): http://ckjung.org H(KR): http://prof1.inu.ac.kr/user/ckjung

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PhD in ML/NLP – Efficient, Fair, robust and knowledge informed self-supervised learning for speech processing
by François Portet 01 Jun '23

01 Jun '23

PhD in ML/NLP – Efficient, Fair, robust and knowledge informed self-supervised learning for speech processing Starting date: November 1st, 2022 (flexible) Application deadline: September 5th, 2022 Interviews (tentative): September 19th, 2022 Salary: ~2000€ gross/month (social security included) Mission: research oriented (teaching possible but not mandatory) *Keywords:*speech processing, natural language processing, self-supervised learning, knowledge informed learning, Robustness, fairness *CONTEXT* The ANR project E-SSL (Efficient Self-Supervised Learning for Inclusive and Innovative Speech Technologies) will start on November 1st 2022. Self-supervised learning (SSL) has recently emerged as one of the most promising artificial intelligence (AI) methods as it becomes now feasible to take advantage of the colossal amounts of existing unlabeled data to significantly improve the performances of various speech processing tasks. *PROJECT OBJECTIVES* Recent SSL models for speech such as HuBERT or wav2vec 2.0 have shown an impressive impact on downstream tasks performance. This is mainly due to their ability to benefit from a large amount of data at the cost of a tremendous carbon footprint rather than improving the efficiency of the learning. Another question related to SSL models is their unpredictable results once applied to realistic scenarios which exhibit their lack of robustness. Furthermore, as for any pre-trained models applied in society, it isimportant to be able to measure the bias of such models since they can augment social unfairness. The goals of this PhD position are threefold: - to design new evaluation metrics for SSL of speech models ; - to develop knowledge-driven SSL algorithms ; - to propose methods for learning robust and unbiased representations. SSL models are evaluated with downstream task-dependent metrics e.g., word error rate for speech recognition. This couple the evaluation of the universality of SSL representations to a potentially biased and costly fine-tuning that also hides the efficiencyinformation related to the pre-training cost. In practice, we will seek to measure the training efficiency as the ratio between the amount of data, computation and memory needed to observe a certain gain in terms of performance on a metric of interest i.e.,downstream dependent or not. The first step will be to document standard markers that can be used as robust measurements to assess these values robustly at training time. Potential candidates are, for instance, floating point operations for computational intensity, number of neural parameters coupled with precision for storage, online measurement of memory consumption for training and cumulative input sequence length for data. Most state-of-the-art SSL models for speech rely onmasked prediction e.g. HuBERT and WavLM, or contrastive losses e.g. wav2vec 2.0. Such prevalence in the literature is mostly linked to the size, amount of data and computational resources injected by thecompany producing these models. In fact, vanilla masking approaches and contrastive losses may be identified as uninformed solutions as they do not benefit from in-domain expertise. For instance, it has been demonstrated that blindly masking frames in theinput signal i.e. HuBERT and WavLM results in much worse downstream performance than applying unsupervised phonetic boundaries [Yue2021] to generate informed masks. Recently some studies have demonstrated the superiority of an informed multitask learning strategy carefully selecting self-supervised pretext-tasks with respect to a set of downstream tasks, over the vanilla wav2vec 2.0 contrastive learning loss [Zaiem2022]. In this PhD project, our objective is: 1. continue to develop knowledge-driven SSL algorithms reaching higher efficiency ratios and results at the convergence, data consumption and downstream performance levels; and 2. scale these novel approaches to a point enabling the comparison with current state-of-the-art systems and therefore motivating a paradigm change in SSL for the wider speech community. Despite remarkable performance on academic benchmarks, SSL powered technologies e.g. speech and speaker recognition, speech synthesis and many others may exhibit highly unpredictable results once applied to realistic scenarios. This can translate into a global accuracy drop due to a lack of robustness to adversarial acoustic conditions, or biased and discriminatory behaviors with respect to different pools of end users. Documenting and facilitating the control of such aspects prior to the deployment of SSL models into the real-life is necessary for the industrial market. To evaluate such aspects, within the project, we will create novel robustness regularization and debasing techniques along two axes: 1. debasing and regularizing speech representations at the SSL level; 2. debasing and regularizing downstream-adapted models (e.g. using a pre-trained model). To ensure the creation of fair and robust SSL pre-trained models, we propose to act both at the optimization and data levels following some of our previous work on adversarial protected attribute disentanglement and the NLP literature on data sampling and augmentation [Noé2021]. Here, we wish to extend this technique to more complex SSL architectures and more realistic conditions by increasing the disentanglement complexity i.e. the sex attribute studied in [Noé2021] is particularly discriminatory. Then, and to benefit from the expert knowledge induced by the scope of the task of interest, we will build on a recent introduction of task-dependent counterfactual equal odds criteria [Sari2021] to minimize the downstream performance gap observed in between different individuals of certain protected attributes and to maximize the overall accuracy. Following this multi-objective optimization scheme, we will then inject further identified constraints as inspired by previous NLP work [Zhao2017]. Intuitively, constraints are injected so the predictions are calibrated towards a desired distribution i.e. unbiased. *SKILLS* * Master 2 in Natural Language Processing, Speech Processing, computer science or data science. * Good mastering of Python programming and deep learning framework. * Previous in Self-Supervised Learning, acoustic modeling or ASR would be a plus * Very good communication skills in English * Good command of French would be a plus but is not mandatory *SCIENTIFIC ENVIRONMENT* The thesis will be conducted within the Getalp teams of the LIG laboratory (_https://lig-getalp.imag.fr/_ <https://lig-getalp.imag.fr/>) and the LIA laboratory (https://lia.univ-avignon.fr/). The GETALP team and the LIA have a strong expertise and track record in Natural Language Processing and speech processing. The recruited person will be welcomed within the teams which offer a stimulating, multinational and pleasant working environment. The means to carry out the PhD will be providedboth in terms of missions in France and abroad and in terms of equipment. The candidate will have access to the cluster of GPUs of both the LIG and LIA. Furthermore, access to the National supercomputer Jean-Zay will enable to run large scale experiments. The PhD position will be co-supervised by Mickael Rouvier (LIA, Avignon) and Benjamin Lecouteux and François Portet (Université Grenoble Alpes). Joint meetings are planned on a regular basis and the student is expected to spend time in both places. Moreover, the PhD student will collaborate with several team members involved in the project in particular the two other PhD candidates who will be recruited and the partners from LIA, LIG and Dauphine Université PSL, Paris. Furthermore, the project will involve one of the founders of SpeechBrain, Titouan Parcollet with whom the candidate will interact closely. *INSTRUCTIONS FOR APPLYING* Applications must contain: CV + letter/message of motivation + master notes + be ready to provide letter(s) of recommendation; and be addressed to Mickael Rouvier (_mickael.rouvier(a)univ-avignon.fr_ <mailto:mickael.rouvier@univ-avignon.fr>), Benjamin Lecouteux(benjamin.lecouteux(a)univ-grenoble-alpes.fr) and François Portet (_francois.Portet(a)imag.fr_ <mailto:francois.Portet@imag.fr>). We celebrate diversity and are committed to creating an inclusive environment for all employees. *REFERENCES:* [Noé2021] Noé, P.- G., Mohammadamini, M., Matrouf, D., Parcollet, T., Nautsch, A. & Bonastre, J.- F. Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation in Proc. Interspeech 2021 (2021), 1902–1906. [Sari2021] Sarı, L., Hasegawa-Johnson, M. & Yoo, C. D. Counterfactually Fair Automatic Speech Recognition. IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 3515–3525 (2021) [Yue2021] Yue, X. & Li, H. Phonetically Motivated Self-Supervised Speech Representation Learning in Proc. Interspeech 2021 (2021), 746–750. [Zaiem2022] Zaiem, S., Parcollet, T. & Essid, S. Pretext Tasks Selection for Multitask Self-Supervised Speech Representation in AAAI, The 2nd Workshop on Self-supervised Learning for Audio and Speech Processing, 2023 (2022). [Zhao2017] Zhao, J., Wang, T., Yatskar, M., Ordonez, V. & Chang, K. - W. Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints in Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing (2017), 2979–2989. -- François PORTET Professeur - Univ Grenoble Alpes Laboratoire d'Informatique de Grenoble - Équipe GETALP Bâtiment IMAG - Office 333 700 avenue Centrale Domaine Universitaire - 38401 St Martin d'Hères FRANCE Phone: +33 (0)4 57 42 15 44 Email:francois.portet@imag.fr www:http://membres-liglab.imag.fr/portet/

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eLex 2023: Invisible Lexicography - Call for papers
by Miloš Jakubíček 10 May '23

10 May '23

(apologies for multiple postings) *CALL FOR PAPERS* <https://elex.link/elex2023/call-for-papers/> *eLex 2023: Electronic lexicography in the 21st century.* The topic of next year's conference is Invisible Lexicography. Dates: 27-29 June 2023 (with workshops on June 26th) Venue: Hotel Passage, Brno, Czechia Deadline for abstract submissions: January 31st 2023 Conference website: https://elex.link/elex2023/ Language of the conference: English Format: The conference will be organized as a hybrid event and while we encourage everyone to participate on-site, we plan to provide live streaming and recording of the event for registered participants. Looking forward to seeing you all in Brno, Miloš Jakubíček in the name of the organising committee

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Digital lexicography and lexical computing workshop, Cambridge, UK
by Ondřej Matuška 02 May '23

02 May '23

*<Lexicom/>* a workshop in digital lexicography and lexical computing *SAVE THE DATE* *Jesus College, Cambridge, UK*11 – 15 September 2023 Your 5 days to get up-to-date with the latest developments in *corpus-driven lexicography* and to activate and enhance your *corpus building and corpus query skills* with some of the top experts in the field. For the programme, lecturers, invited speakers, fees and registration, visit this website *lexicom.courses <https://lexicom.courses/lexicom-2023-cambridge-uk-lexicography-workshop/>* I hope to meet you in Cambridge in September! Ondřej *Ondřej Matuška* sketchengine.co.uk <http://www.sketchengine.co.uk> | Facebook <https://www.facebook.com/SketchEngine/> | LinkedIn <https://www.linkedin.com/in/ondrejmatuska> | Twitter <https://twitter.com/SketchEngine>

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3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
by Pascal Denis 28 Feb '23

28 Feb '23

Hello, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- 3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France) We invite applications for a 3-year PhD position at the University of Lille in the context of the recently funded research project "COMANCHE" (Computational Models of Lexical Meaning and Change). The position is funded by Inria, the French national research institute in Computer Science and Applied Mathematics. COMANCHE proposes to transfer and adapt neural word embeddings algorithms to model the acquisition and evolution of word meaning, by comparing them with linguistic theories on language acquisition and language evolution. At the intersection between Natural Language Processing, psycholinguistics and historical linguistics, this project intends to validate or revise some of these theories, while also developing computational models that are less data hungry and computationally intensive as they exploit new inductive biases inspired by these disciplines. The first strand of the project, on which the successful candidate will work, focuses on the development of computational models of semantic memory and its acquisition. Two main research directions will be pursued. On the one hand, we will compare the structural properties associated to different semantic spaces derived from word embedding algorithms to those found in human semantic memory as reflected in behavioral data (such as typicality norms) as well as brain imaging data. The latter data will then used as additional supervision to inject more hierarchical structure into the learned semantic spaces. One the other hand, we intend to experiment with training regimes for word embedding algorithms that are closer to those of humans when they acquire language, controlling the quantity as well as the linguistic complexity of the inputs fed to the learning algorithms through the use of longitudinal and child directed speech corpora (e.g., CHILDES, Colaje). In both cases, both English and French data will be considered. The successful candidate holds a Master's degree in computational linguistics or computer science or cognitive science and has prior experience in word embedding models. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work across languages. The position is affiliated with the MAGNET team at Inria, Lille [1] as well as with the SCALAB group at University of Lille [2] in an effort to strenghten collaborations between these two groups, and ultimately foster cross-fertilizations between Natural Language Processing and Psycholinguistics. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Angèle Brunellière (angele.brunelliere(a)univ-lille.fr) and Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 October 2022 or soon thereafter, for a total of 3 full years. Best regards, Angèle Brunellière and Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://scalab.univ-lille.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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[Corpora-List]NLP4CALL 2022 First call for papers
by David Alfter 20 Feb '23

20 Feb '23

== 11th NLP4CALL, Louvain-la-Neuve, Belgium== The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of "Computational SLA" through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings "understanding" of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning; - that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL - that describe empirical studies on language learner data. This year a special focus is given to work done on second language vocabulary and grammar profiling, as well as the use of crowdsourcing for creating, collecting and curating data in NLP projects. We encourage paper presentations and software demonstrations describing the above-mentioned themes primarily, but not exclusively, for the Nordic languages. ==Invited speakers== This year, we have the pleasure to announce two invited talks. The first talk is by Christopher Bryant from Reverso and the University of Cambridge. The second talk is given by Marije Michel from the University of Amsterdam. ==Submission information== Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references. We will be using the NLP4CALL workshop template for the workshop this year. The author kit, including LaTeX and Microsoft Word templates can be accessed here, alternatively on Overleaf: <https://spraakbanken.gu.se/sites/default/files/2022/NLP4CALL%20workshop%20t…> <https://spraakbanken.gu.se/sites/default/files/2022/nlp4call%20template.doc> <https://www.overleaf.com/latex/templates/nlp4call-workshop-template/qqqzqqy…> Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2022>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments. Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (<https://www.aclweb.org/anthology/venues/nlp4call/>). ==Important dates== 7 October 2022: paper submission deadline 4 November 2022: notification of acceptance 25 November 2022: camera-ready papers for publication 9 December 2022: workshop date ==Organizers== David Alfter (1,2), Elena Volodina (2), Thomas François (1), Piet Desmet (3), Frederik Cornillie (3), Arne Jönsson (4), Eveline Rennes (4) (1) CENTAL, Institute for Language and Communication, Université Catholique de Louvain, Belgium (2) Språkbanken, University of Gothenburg, Sweden (3) Itec, Department of Linguistics at KU Leuven & imec, Belgium (4) Department of Computer and Information Science, Linköping University, Sweden ==Contact== For any questions, please contact David Alfter, david.alfter(a)uclouvain.be For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…> Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/> David Alfter, PhD Post-doctoral researcher Institut Langage et communication, CENTAL Université catholique de Louvain Place Montesquieu, 3 (box L2.06.04) 1348 Louvain-la-Neuve

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PhD position: Neuro-Symbolic Models, Saarland University, Germany
by Dietrich Klakow 21 Nov '22

21 Nov '22

PhD position: Neuro-Symbolic Models, Saarland University, Germany ========================================================= (Computer Science, Computational Linguistics or similar) We are looking for an excellent candidate who is interested * exploring the limits for neural networks on symbolic tasks and/or * integrating symbolic knowledge into neural networks. Ideal candidate for the position would have: 1. A good understanding of natural language processing 2. Excellent knowledge of machine learning 3. Excellent programming skills 4. Masters degree in Computer Science, Computational Linguistics or similar Salary: The PhD position will be 75% of full time on the German E13 scale (TV-L) which is about 3055€ per month before tax and social security contributions. The appointments will be for three years with a possible extension. Starting day will be spring 2023. About the department: The department of Language Science and Technology t Saarland University is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck institutes, CISPA, and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe. How to apply: Please send us a letter of motivation, a one page research proposal, your CV, your transcripts, if available a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 3 MB. Please apply latest by November 15th, 2022. Earlier applications are welcome and will be processed as they come in. Contact: Applications and any further inquiries regarding the project should be directed to dietrich.klakow(a)lsv.uni-saarland.de

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OFAI 2022 Lecture Series
by Tristan Miller 09 Nov '22

09 Nov '22

The Austrian Research Institute for Artificial Intelligence (OFAI) is delighted to announce its 2022 Lecture Series, featuring an eclectic lineup of internal and external speakers. The talks are intended to familiarize attendees with the latest research developments in AI and related fields (particularly computational linguistics and natural language processing), and to forge new connections with those working in other areas. Most lectures (see prospective schedule below) will take place on Wednesdays at 18:30 Central European (Summer) Time. All lectures will be held online via Zoom; in-person attendance at OFAI Headquarters in Vienna is also possible for certain lectures. Attendance is open to the public and free of charge. No registration is required. Visit https://www.ofai.at/lectures for full details! 29 June Scott Patterson McGill University Domesticating Wealth Inequality: Hybrid Discourse Analysis of UN General Assembly Speeches, 1971–2018 6 July Pamela Breda Independent artist Feeling for Nonexsistent Beings 13 July Brigitte Krenn OFAI Robots as Social Agents: Between Construct and Reality 20 July Tristan Miller OFAI What's in a Pun? Assessing the Relationship Between Phonological and Semantic Distance and Perceived Funniness of Punning Jokes 27 July Katrien Beuls Université de Namur Unravelling the Computational Mechanisms Underlying the Emergence of Human-like Communication Systems in Populations of Autonomous Agents 7 September Steffen Eger Bielefeld University Text Generation for the Humanities 14 September Antti Arppe University of Alberta Finding Words that Aren't There: Using Word Embeddings to Improve Dictionary Search for Low-resource Languages 21 September Roman Pflugfelder AIT Austrian Institute of Technology Title TBA 28 September Raphael Deimel TU Wien Towards Intuitive Object Handovers Between Humans and Robots 5 October Christoph Scheepers University of Glasgow The “Crossword Effect” in Free Word Recall: A Retrieval Advantage for Words Encoded in Line with their Spatial Associations 12 October Karën Fort Sorbonne Université Title TBA 19 October Benjamin Roth University of Vienna Evaluation and Learning with Structured Test Sets 25 October Peter Hallman OFAI Comparatives in Arabic 2 November Stephanie Gross OFAI Title TBA 9 November Bernhard Pfahringer University of Waikato The World is not IID: Learning from Data Streams to the Rescue 16 November Paolo Petta OFAI Title TBA 23 November Robert Trappl OFAI Title TBA -- Dr.-Ing. Tristan Miller, Research Scientist Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12 https://logological.org/ | https://punderstanding.ofai.at/

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Journal of Biomedical Informatics (JBI) Special Issue on Semantics-enabled Biomedical Literature Analytics
by Halil Kilicoglu 07 Nov '22

07 Nov '22

*** Apologies for cross-posting *** Call for Papers: Semantics-enabled Biomedical Literature Analytics This Special Issue aims to highlight the development of novel informatics methods for *retrieval, indexing, and analysis of biomedical literature, focusing on semantics-based techniques*. We invite researchers working in biomedical informatics, knowledge representation/ontologies, information retrieval, natural language processing, artificial intelligence/machine learning, data mining, and other related areas to submit clear and detailed descriptions of their novel methodological results. The topics of interest include but are not limited to: - Knowledge representation and semantics for biomedical literature retrieval - Biomedical ontologies in search - Biomedical knowledge source integration - Biomedical knowledge graph construction and embeddings - Knowledge graphs in biomedical search - Semantic knowledge in biomedical literature classification and ranking - Biomedical information extraction - Entity linking and semantic annotation in biomedical texts - Literature-based knowledge discovery - Semantics for biomedical knowledge synthesis and systematic literature review All submitted papers must be original and will go through a rigorous peer-review process with at least two reviewers. Papers previously published in conference proceedings will not be considered. JBI’s editorial policy will be strictly followed by special issue reviewers. Note in particular that JBI emphasizes the publication of papers that introduce innovative and generalizable methods of interest to the informatics community. Specific applications can be described to motivate the methodology being introduced, but papers that focus solely on a specific application are not suitable for JBI. *Submission Guidelines* Authors must submit their papers via the online Editorial Manager (EES) at <http://ees.elsevier.com/jbi>https://www.editorialmanager.com/jbi <https://ees.elsevier.com/jbi>. Authors should select “Semantics-enabled Biomedical Literature Analytics” as their submission category and note in a cover letter that their submission is for the “*Special Issue on Semantics-enabled Biomedical Literature Analytics.*” If the manuscript is not intended as an original research paper, the cover letter should also specify if it is, rather, a *Methodological Review, Commentary, or Special Communication*. Authors should make sure to place their work in the context of human-focused biomedical research or health care, and to review carefully the relevant literature. JBI’s editorial policy, and the types of articles that the journal publishes, are outlined under *Aims and Scope *on the journal home page at https://www.sciencedirect.com/journal/journal-of-biomedical-informatics <https://www.journals.elsevier.com/journal-of-biomedical-informatics>(click on “View full Aims and Scope” for details). All submissions should follow the guidelines for authors at <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*https://www.elsevier.com/journals/journal-ofbiomedical- informatics/1532-0464/guide-for-authors <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*, including format and manuscript structure. *Important Dates* Deadline for submissions: November 15, 2022 First-round review decisions: January 15, 2023 Deadline for revision submissions: February 15, 2023 Notification of final decisions: April 15, 2023 The full Call for Papers is available at https://doi.org/10.1016/j.jbi.2022.104134. Please direct any questions regarding the special issue to Dr. Halil Kilicoglu (halil(a)illinois.edu). *Guest Editors:* Halil Kilicoglu (University of Illinois Urbana-Champaign, halil(a)illinois.edu ) Faezeh Ensan (Ryerson University, fensan(a)ryerson.ca) Bridget McInnes (Virginia Commonwealth University, bmtinnes(a)vcu.edu) Lucy Lu Wang (University of Washington/Allen Institute for AI, lucylw(a)uw.edu ) --Halil *HALIL KILICOGLU* *Associate Professor* School of Information Sciences University of Illinois at Urbana-Champaign halil(a)illinois.edu https://ischool.illinois.edu/people/halil-kilicoglu

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MBR023_ROME -Call for Papers
by Computational Philosophy Lab 31 Oct '22

31 Oct '22

Apologies for Multiple Postings CALL FOR PAPERS: DEADLINE January 10th, 2023 To unsubscribe please contact cp-lab(a)unipv.it Proceedings will be published by Springer (Series "SAPERE" http://www.springer.com/series/10087) Selected technical papers will be published in a special issue of an international Journal ************************************************************************** MODEL-BASED REASONING, ABDUCTIVE COGNITION, CREATIVITY Inferences & Models in Science, Logic, Language, and Technology Chairs: Emiliano Ippoliti, Lorenzo Magnani, Selene Arfini June 7-9 2023 – Rome, Italy Department of Philosophy, Sapienza University of Rome Villa Mirafiori – Via Carlo Fea 2, 00161 Roma Rooms: II, VI, X (Seventh International MBR Conference) WEB SITE: http://www.mbr023rome.com/ *************************************************************************** MBR COMMUNITY WEB SITE http://www.unipv.it/webphilos_lab/cpl2/ *************************************************************************** IMPORTANT DATES Submission of extended abstracts........January 10th, 2023 Notification of acceptance...................February 20th, 2023 Registration at discounted price..........before March 10th, 2023 Conference...........................................June 7th-9th, 2023 Submission of final papers ....................September 30th, 2023 ******************************************************************************** Organization: - University of Pavia, Department of Humanities, Philosophy Section - Department of Philosophy, Sapienza University of Rome - Italian Society of Logic and Philosophy of Science (SILFS) GENERAL INFORMATION The International Conference ‘MODEL-BASED REASONING, ABDUCTIVE COGNITION, CREATIVITY. Inferences & Models in Science, Logic, Language, and Technology’ will be held at Sapienza University of Rome https://web.uniroma1.it/dip_filosofia/en/node/6157, from Wednesday 7th to Friday 9th of June 2023. The conference is organized by the Department of Humanities, Philosophy Section and Computational Philosophy Lab of the University of Pavia and the Department of Philosophy of Sapienza University of Rome. THe conference site will be at Villa Mirafiori https://turismoroma.it/en/places/villa-mirafiori, where the Departent of Philosophy is located. PROGRAM The conference will explore the logical, epistemological, and cognitive aspects of the modeling practices employed in science, technology, and cognitive science, including logical and computational models of such practices. We solicit papers that examine the model-based reasoning from philosophical, logical, epistemological, historical, sociological, psychological, or computational perspectives. The conference will also cover the impact of model-based reasoning to enhance human cognitive skills— mental, hybrid, manipulative, etc. SUBMISSIONS OF EXTENDED ABSTRACT AND SYMPOSIA PROPOSALS Presentation Proposal To take part in the conference, authors must submit an extended abstract of approximately 1000-1500 words by JANUARY 10th, 2023. It must be in .doc, .rtf, or LaTeX. If you use LaTex, Bibtex is preferred. Here is the LATEX template, and the Word template. The extended abstract must also contain a 300-word abstract for the conference web site/booklet. Please send it to the co-chair Lorenzo Magnani lmagnani(a)unipv.it. Symposia Proposal (intended for approx. 4-5 participants) Please send a 2-page symposium proposal by JANUARY 10th, 2023 to the co-chair Emiliano Ippoliti emi.ippoliti(a)gmail.com. All submitted extended abstracts will be reviewed. The precise format of the conference will be decided once the revision process is completed. We expect approximately 60/80 contributed presentations. Reviewed proposals will be scored as follows: Accepted for half-hour presentation; Accepted for poster session; Rejected After the conference, all the authors of accepted proposals are entitled to submit a complete paper for the proceedings to be sent to Lorenzo Magnani, lmagnani(a)unipv.it See also CONFERENCE WEB SITE: http://www.mbr023rome.com/ PROCEEDINGS Papers should be previously unpublished, written in English, and formatted in either LaTeX or DOC, with a maximum of 20 pages. If you use LATEX, BIBTEX is preferred. Please send the files to Lorenzo Magnani lmagnani(a)unipv.itMBR Final date for submissions is September 30th, 2023. Proceedings will be published by Springer (SAPERE series, http://www.springer.com/series/10087). Moreover, an additional subset of papers will be invited for inclusion (again following further review) in one or two special issues of the Logic Journal of IGPL or another of the well-known international journals that have already published papers from MBR98, MBR01, MBR04, MBR06_CHINA, MBR09_BRAZIL, MBR012:ITALY; MBR015_ITALY, MBR018_SPAIN. RELEVANT RESEARCH AREAS We call for papers in the following areas: - General theoretical and cognitive issues in model-based reasoning - Models as fictions, distortions, credible worlds - Creative reasoning - Models and games of make-believe - Ontology of models - Affordances, artifacts, and model-based reasoning - Brain, neuroscience, and model-based reasoning - Abduction - Abduction, morality, and violence - Abduction and secrecy - Logical analyses related to model-based reasoning - Inferences, interaction and duality in logic and language - Visual, spatial, imagistic modeling and reasoning - Simulative modeling - Surrogative reasoning - The role of diagrammatic reasoning - Computational models of visual and simulative reasoning - Causal and counterfactual reasoning in model construction - Visual analogy - Thought experiments - Manipulative reasoning - Distributed model-based reasoning - Distributed cognition, embodiment, and model-based reasoning - Models of rationality and inference patterns in decision making - Model-based reasoning in scientific discovery and conceptual change - Model-based reasoning and ethics - Model-based reasoning and finance - Model-based reasoning and economics - Model-based reasoning and history of philosophy - Model-based reasoning and semiotics - Model-based reasoning in scientific explanation - Model-based medical diagnosis - Model-based reasoning in engineering and robotics - Model-based reasoning and technological artifacts - Model-based reasoning and knowledge management - Model-based reasoning and information technology - The role of models in scientific and technological thinking - Model-based reasoning and learning - Model-based reasoning and language INVITED KEYNOTE SPEAKERS Marco BUZZONI, Department of Humanities, University of Macerata, ITALY Samantha COPELAND, Faculty of Technology, Policy and Management, TU Delft, THE NETHERLANDS David DANKS, Department of Philosophy and Data Science, University of California, San Diego, USA Edoardo DATTERI, "Riccardo Massa" Department of Human Sciences for Education, Univeristy of Milan-Bicocca, ITALY Mireille HILDEBRANDT, Law Science Technology and Society - Faculty of Law and Criminology, Vrije Universiteit Brussels, BELGIUM Lorenzo MAGNANI, Department of Humanities, University of Pavia, ITALY Ángel NEPOMUCENO FERNÁNDEZ, Department of Philosophy, University of Seville, SPAIN Thomas ORMEROD, School of Psychology, University of Sussex, UNITED KINDOM Frederik STJERNFELT, , Department of Communication and Psychology, Aalborg University, DENMARK REGISTRATION FEES, METHOD OF PAYMENT, AND ACCOMMODATION See Conference Web Site: http://www.mbr023rome.com/ PROGRAM CHAIRS: - Emiliano IPPOLITI, Department of Philosophy, University of Rome La Sapienza, Via Carlo Fea 2, 00161, Rome, ITALY (emiliano.ippoliti(a)uniroma1.it) - Lorenzo MAGNANI, Director, Computational Philosophy Laboratory http://www-9.unipv.it/webphilos_lab/wordpress/, Department of Humanities, Philosophy Section, University of Pavia, Piazza Botta 6, 27100 Pavia, ITALY (lmagnani(a)unipv.it) - Selene ARFINI, Department of Humanities, Philosophy Section, University of Pavia, Piazza Botta 6, 27100 Pavia, ITALY (selene.arfini(a)unipv.it) SCIENTIFIC COMMITTEE - Atocha ALISEDA LLERA, Instituto de Investigaciones Filosoficas, Universidad Nacional Autonoma de Mexico, MEXICO - Francesco AMIGONI, Dipartimento di Elettronica, Informazione, e Bioingegneria, Politecnico di Milano, ITALY - Maria Cristina AMORETTI, Center for Philosophy of Health and Disease, Philosophy Section, University of Genoa, ITALY - Selene ARFINI, Department of Humanities, Philosophy Section, University of Pavia, ITALY - Fabio BACCHINI, Department of Architecture, Design and Urban Planning, University of Sassari, ITALY - Marta BERTOLASO, Institute of Philosophy of Scientific and Technological Practice, Università Campus Bio-Medico, ITALY - Otavio BUENO, Department of Philosophy, University of Miami, USA - Marco BUZZONI, Department of Humanities, University of Macerata, ITALY - Cristina BARÉS GÓMEZ, Department of Logic, Philosophy and Philosophy of Science, Sevilla University, SPAIN - Walter CARNIELLI, Department of Philosophy, State University of Campinas, BRAZIL - Massimiliano CARRARA, FISPPA Department, University of Padua, ITALY - Claudia CASADIO, Department of Languages, Literature and Modern Cultures, University of Chieti-Pescara, ITALY - Gustavo CEVOLANI, MoMiLab Research Unit, IMT School for Advanced Studies Lucca, ITALY - Sanjay CHANDRASEKHARAN, Homi Bhabha Centre for Science Education, Tata Institute of Fundamental Research, INDIA - Daniele CHIFFI, Dipartimento di Elettronica, Informazione, e Bioingegneria, Politecnico di Milano, ITALY - Samantha COPELAND, Faculty of Technology, Policy and Management, TU Delft, THE NETHERLANDS - Cesare COZZO, Department of Philosophy, Sapienza University of Rome, ITALY - Marcello D'AGOSTINO, Department of Philosophy, University of Milan, ITALY - Sara DELLANTONIO, Department of Psychology and Cognitive Sciences, University of Trento, ITALY - Edoardo DATTERI, "Riccardo Massa" Department of Human Sciences for Education, Univeristy of Milan-Bicocca, ITALY - Gordana DODIG-CRNKOVIC, Division of Computer Science and Software Engineering, Mälardalen University, SWEDEN - Maria Giulia DONDERO, Département de Langues et Littératures Romanes, University of Liège, BELGIUM - Vincenzo FANO, Department of Pure and Applied Sciences, University of Urbino, ITALY - Matthieu FONTAINE, Department of Philosophy, Logics, and Philosophy of Science, University of Seville, SPAIN - Roman FRIGG, Department of Philosophy, Logic and Scientific Method, London School of Economics and Political Science, UNITED KINGDOM - Axel GELFERT, Institute of History and Philosophy of Science, Technology, and Literature, Technical University of Berlin, GERMANY - Valeria GIARDINO, Institut Jean Nicod, Ecole Normale Supérieure, Paris, FRANCE - Roberto GIUNTINI, Department of Pedagogy, Psychological Sciences and Philosophy, University of Cagliari, ITALY - Vlad GLAVEANU, School of Psychology, Dublin City University, IRELAND - Nathalie GONTIER, Centro de Filosofia das Ciências, Universidade de Lisboa, PORTUGAL - Pierluigi GRAZIANI, Department of Pure and Applied Sciences, University of Urbino, ITALY - Marcello GUARINI, Department of Philosophy, University of Windsor, CANADA - Ricardo GUDWIN, the School of Electrical Engineering and Computer Science, State University of Campinas, BRAZIL - Emiliano IPPOLITI, Department of Philosophy, Sapienza University of Rome, ITALY - Decio KRAUSE, Graduate Program in Logic and Metaphysics, Federal University of Rio de Janeiro, BRAZIL - Antonio LEDDA, Department of Pedagogy, Psychological Sciences and Philosophy, University of Cagliari, ITALY - Ping LI, Department of Philosophy, Sun Yat-sen University, CHINA - Angelo LOULA, Department of Exact Sciences, State University of Feira de Santana, BRAZIL - Lorenzo MAGNANI, Department of Humanities, Philosophy Section, University of Pavia, ITALY - Fabio MINAZZI, Department of Theoretical and Applied sciences, University of Insubria, ITALY - Gerard MINNAMEIER, Department of Business ethics and business education, Goethe-Universität Frankfurt am Main, GERMANY - Ángel NEPOMUCENO FERNÁNDEZ, Department of Philosophy, University of Seville, SPAIN - Thomas ORMEROD, School of Psychology, University of Sussex, UNITED KINDOM - Woosuk PARK, Humanities & Social Sciences, Korea Advanced Institute of Science & Technology, SOUTH KOREA - Paolo PETRICCA, Department of Languages, Literature and Modern Cultures, University of Chieti-Pescara, ITALY - Claudio PIZZI, Department of Economics, Ca' Foscari University of Venice, ITALY - Alessio PLEBE, Department of Cognitive Science, Education and Cultural Studies, University of Messina, ITALY - Demetris PORTIDES, Department of Classics and Philosophy, University of Cyprus, CYPRUS - Joao QUEIROZ, Institute of Arts and Design, Federal University of Juiz de Fora, BRAZIL - Shahid RAHMAN, U.F.R. de Philosophie, University of Lille 3, FRANCE - Wendy ROSS, School of Psychology, London Metropolitan University, UNITED KINDOM - Flavia SANTOIANNI, Department of Humanities. Federico II University of Naples, ITALY - Viola SCHIAFFONATI, Dipartimento di Elettronica, Informazione, e Bioingegneria, Politecnico di Milano, ITALY - Francisco J. SALGUERO LAMILLAR, Department of Spanish Languages, Linguistics and Literature Theory, University of Seville, SPAIN - Alger SANS PINILLOS, Department of Humanities, Philosophy Section, University of Pavia, ITALY - Gerhard SCHURZ, Institute for Philosophy, University of Duesseldorf, GERMANY - Nora Alejandrina SCHWARTZ, Faculty of Economics, Universidad de Buenos Aires, ARGENTINA - Sonja SMETS, Institute for Logic, Language and Computation, University of Amsterdam, THE NETHERLANDS - Adam TOON, Department of Sociology, Philosophy and Anthropology, University of Exeter, UNITED KINGDOM - Paul THAGARD, Department of Philosophy, University of Waterloo, CANADA - Fernando R. VELÁZQUEZ-QUESADA, Department of Information Science and Media Studies, University of Bergen, NORWAY - Riccardo VIALE, Department of Economics, Management and Statistics, University of Milan-Bicocca, Milan, ITALY - John WOODS, Department of Philosophy, University of British Columbia, CANADA The Conference is sponsored by UNIVERSITY OF PAVIA, Departimento di Studi Umanistici, Pavia, ITALY UNIVERSITY OF ROME "SAPIENZA", Dipartimento di Filosofia, Rome, ITALY, MUR (Ministero dell'Università e della Ricerca), Rome, ITALY SILFS, The Italian Society for Logic and the Philosophy of Science LOCAL ORGANIZATION COORDINATOR Emiliano Ippoliti <emiliano.ippoliti(a)uniroma1.it> HOW TO REACH Villa Mirafiori (Department of Philosophy, Sapienza University of Rome) From Termini Train Station Go to Piazza dei Cinquecento and take the 90 bus (direction: Labia) for four stops (get off at Nomentana/Xxi Aprile). The bus takes about 15 minutes. From Fiumicino (Leonardo da Vinci) Airport Take the Leonardo Express train to Roma Termini. It takes 35 minutes. From Termini Station, take the 90 bus (see above). Address: Department of Philosophy Sapienza University of Rome Villa Mirafiori – Via Carlo Fea 2, 00161 Roma PREVIOUS MBR CONFERENCES, BOOKS, AND SPECIAL ISSUES OF INTERNATIONAL JOURNALS The conference builds on the topics and traditions of the previous eight MBR conferences: - ‘Model-Based Reasoning in Scientific Discovery’, MBR'98 - ‘Model-Based Reasoning: Scientific Discovery, Technological Innovation, and Values’, MBR'01 - ‘Model-Based Reasoning in Science and Engineering: Abduction, Visualization, and Simulation’ MBR'04 - ‘Model-Based Reasoning in Science and Medicine’, MBR06_CHINA; - ‘Model-Based Reasoning in Science and Technology. Abduction, Logic, and Computational Discovery’, MBR09_BRAZIL; - ‘Model-Based Reasoning in Science and Technology. Theoretical and Cognitive Issues’, MBR12_ITALY - ‘Model-Based Reasoning in Science and Technology. Models and Inferences: Logical, Epistemological, and Cognitive Issues’, MBR15_ITALY - ‘Model-Based Reasoning in Science and Technlogy. Inferential Models for Logic, Language, Cognition and Computation’, MBR018_SPAIN The volumes from these conferences are: - L. Magnani, N. J. Nersessian, and P. Thagard (eds.) (1999), Model-Based Reasoning in Scientific Discovery, Kluwer Academic/Plenum Publishers, New York. http://www.wkap.nl/prod/b/0-306-46292-3 (Chinese edition, translated and edited by Q. Yu and T. Wang, China Science and Technology Press, Beijing, 2000). - L. Magnani and N. J. Nersessian (eds.) (2002), Model-Based Reasoning. Science, Technology, Values, Kluwer Academic/Plenum Publishers, New York. http://www.wkap.nl/prod/b/0-306-47244-9 - L. Magnani, N. J. Nersessian, and C. Pizzi (eds.) (2002), Logical and Computational Aspects of Model-Based Reasoning, Kluwer Academic, Dordrecht. http://www.wkap.nl/prod/b/1-4020-0791-4 - P. Li, X. Chen, Z. Zhang, and H. Zhang (eds.)(2004), Science, Cognition, and Consciousness, JiangXi People's Press, Nanchang, China. - L. Magnani and Li. Ping (eds.) (2006), Philosophical Investigations from a Perspective of Cognition, Guangdong People's Publishing House, Guangzhou, (published in Chinese). - L. Magnani (2006) (ed.), Model-Based Reasoning in Science and Engineering. Cognitive Science, Epistemology, Logic, College Publications, London. http://www.amazon.co.uk/Model-Based-Reasoning-Science-Engineering/dp/190498… - L. Magnani and P. Li (eds.) (2007), Model-Based Reasoning in Science, Technology, and Medicine, Series "Studies in Computational Intelligence", Vol. 64, Springer, Berlin/New York. http://www.springer.com/engineering/book/978-3-540-71985-4 - L. Magnani, W. Carnielli, C. Pizzi (eds.) (2010) Model-Based Reasoning in Science and Technology Abduction, Logic, and Computational Discovery, Series "Studies in Computational Intelligence", Vol. 314, Springer, Heidelberg/Berlin. http://www.springer.com/us/book/9783642152221 - L. Magnani (ed.) (2014) Model-Based Reasoning in Science and Technology. Theoretical and Cognitive Issues, Series "Sapere", Vol. 8, Springer, Heidelberg/Berlin. http://www.springer.com/us/book/9783642374272 - L. Magnani and C. Casadio (eds.) (2016), Model-Based Reasoning in Science and Technology. Logical, Epistemological, and Cognitive Issues, Springer, Switzerland, Series "Sapere" http://www.springer.com/us/book/9783319389820 - A. Nepomuceno, L. Magnani, F. Salguero, C. Barés and M. Fontaine (eds.) (2019), Model-Based Reasoning in Science and Technology - Inferential Models for Logic, Language, Cognition and Computation, Springer, Cham, Switzerland. Selected papers from the previous conferences have also been published in international journals such as Philosophia, Foundations of Science, Logic Journal of the IGPL. A recent HANDBOOK based on research by the MBR community is: L. Magnani, T. Bertolotti (eds.) (2017) Springer Handbook of Model-Based Science, Springer, Switzerland http://www.springer.com/us/book/9783319305257 A forthcoming HANDBOOK research by the MBR community is: L. Magnani (ed.) ‘Handbook of abductive cognition’, Springer, Switzerland (https://link.springer.com/referencework/10.1007/978-3-030-68436-5).

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2nd CFP: 7th International Conference on Dependency Linguistics (Depling 2023)
by François Lareau 31 Oct '22

31 Oct '22

SECOND CALL FOR PAPERS DEPLING 2023, WASHINGTON DC, MARCH 9-12, 2023 Depling (https://depling.org) is a bi-annual conference dedicated to dependency-based approaches in linguistics and natural language processing. Dependencies, directed labeled graph structures representing hierarchical relations between morphemes, words or semantic units, have now become the standard representation of syntactic resources and NLP technologies. Depling has become the central event for people discussing the linguistic significance of these structures, their theoretical and formal foundations, their processing, and their use in NLP tools. VENUE This year, Depling will be part of the Georgetown University Round Table on Linguistics (GURT, https://gurt.georgetown.edu) in Washington DC on March 9-12, 2023, together with UDW, TLT, and CxGs+NLP, in the spirit of previous SyntaxFests (https://syntaxfest.github.io). Talks will take place in plenary sessions to promote cross-fertilization of ideas across subcommunities. TOPICS OF INTEREST Depling addresses the use of dependency trees and related formal representations (such as DAGs) to represent linguistic structure. Topics of interest include but are not limited to: * The use of dependency structures in theoretical linguistics * Historical and epistemological foundations of dependency grammar * The use of dependency structures in corpus development * The use of dependency structures in lexicography * The use of dependency structures in computational linguistics * The relation between dependency-based grammar and other fields of science INVITED SPEAKER Guy Perrier, LORIA/Université de Lorraine (Emeritus) SUBMISSION DETAILS We invite paper submissions in two distinct tracks: * regular papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces. Papers must be submitted in PDF via OpenReview: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Regular papers may consist of up to 8 pages (excluding references and appendices). Short papers may consist of up to 4 pages (excluding references and appendices). Accepted papers will be given an additional page to address reviewer comments. Papers should describe original work; they should emphasize completed work and should indicate clearly the state of completion of the reported results. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference. All submissions should follow the two-column format and the ACL style. https://github.com/acl-org/acl-style-files Proceedings will be published in the ACL Anthology and will include both long and short papers. For more information, read our detailed call for papers here: https://gurt.georgetown.edu/gurt-2023/depling-call-for-papers/ IMPORTANT DATES * November 15, 2022: submission deadline (long and short papers) * January 11, 2023: notification of acceptance * February 1, 2023: camera-ready papers due * March 9–12, 2023: conference DEPLING CHAIRS François Lareau, Université de Montréal Owen Rambow, Stony Brook University Contact: depling2023(a)depling.org

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2-year postdoc in NLP/data science
by Nina Tahmasebi 31 Oct '22

31 Oct '22

Dear colleagues, We are hiring a second postdoc! Do you have a lot of drive and are interested in getting engaged in a vibrant, new research field with the chance to work with some of the best in the field? We are announcing one or more 2-year postdoc positions in identification and analysis of lexical semantic change using computational models applied to diachronic texts. Application deadline November 15! Our languages change over time. As a consequence, words may look the same, but have different meanings at different points in time, a phenomenon called lexical semantic change (LSC). To facilitate interpretation, search, and analysis of old texts, we build computational methods for automatic detection and characterization of LSC from large amounts of text. Our outputs will be used by the lexicographic R&D unit that compiles the Swedish Academy dictionaries, as well as by researchers from the humanities and social sciences that include textual analysis as a central methodological component. We are looking for a researcher with a phd in a relevant area (for example, language technology/natural language processing, computer science, complex systems, mathematics, linguistics with experience in computational methods, or informational sciences). The Change is Key! program and the Towards Computational Lexical Semantic Change Detection research project offer a vibrant research environment for this exciting and rapidly growing cutting-edge research field in NLP. There is a unique opportunity to contribute to the field of LSC, but also to humanities and social sciences through our active collaboration with international researchers in historical linguistics, analytical sociology, gender studies, conceptual history, and literary studies. Come join us! https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… -- Nina N. Tahmasebi, Associate Professor Språkbanken • Change is Key! +46 (0) 31 786 6953 nina.tahmasebi(a)gu.se http://spraakbanken.gu.se/eng/personal/nina https://changeiskey.org/ https://languagechange.org/ http://tahmasebi.se/ https://gu-se.zoom.us/my/ninatahmasebi “If at first, the idea is not absurd, then there is no hope for it” -Albert Einstein.

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Recruiting graduate and undergraduate summer research interns for Data-Driven Accessibility at Microsoft Research
by Hal Daume 31 Oct '22

31 Oct '22

Dear corpora readers: We -- Danielle Bragg, Alex Lu, and Hal Daumé III -- are looking to hire research interns to work on data-driven accessibility research projects, alongside leading researchers and engineers in the field. We are recruiting both graduate research interns and undergraduate research interns for Summer 2023. (ASL recruitment video: https://youtu.be/Gb-8CTpKxhU.) Our team takes a human-centered and data-driven approach to advancing the state of accessible technologies. Recent work has focused on data collection methods, sign language modeling, understanding concerns and perspectives of user communities, and building novel apps and experiences. You can learn more about some of the team’s recent efforts at the data-driven accessibility systems page <https://www.microsoft.com/en-us/research/project/data-driven-accessibility-…>. These positions sit within Microsoft Research New York City, with opportunities to collaborate with Microsoft Research New England and others across the company. Our team is highly interdisciplinary and offers the opportunity to interact with diverse researchers. For graduate students, please apply (short research statement and two letters) at the Research Intern Portal <https://careers.microsoft.com/us/en/job/1483492/Research-Intern-Data-Driven…> . For undergraduate students, please apply to the MSR Undergraduate Research Internship and mention one or more of us by name (CV, 2-3 reference letters, and two essays) at the Undergraduate Research Intern Portal <https://www.microsoft.com/en-us/research/academic-program/undergraduate-res…> . Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form <https://careers.microsoft.com/us/en/accommodationrequest>. Sincerely, Danielle Bragg, Alex Lu, and Hal Daumé III

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CFP: AAAI-2023 Workshop On Multimodal AI For Financial Forecasting
by puneetm＠umd.edu 31 Oct '22

31 Oct '22

Call for Paper: AAAI-2023 Workshop On Multimodal AI For Financial Forecasting Venue: AAAI 2023 Location: Washington DC, USA Workshop Date: Monday, 13 February 2023 Submission deadline: December 23, 2022 Submission Site: https://easychair.org/my/conference?conf=muffinaaai2023 Workshop Website: https://muffin-aaai23.github.io/ Abbreviated Title: Muffin-AAAI2023 Contact Email: muffin-aaai23(a)googlegroups.com Primary Contact: Puneet Mathur Overview Financial forecasting is an essential task that helps investors make sound investment decisions and wealth creation. With increasing public interest in trading stocks, cryptocurrencies, bonds, commodities, currencies, crypto coins and non-fungible tokens (NFTs), there have been several attempts to utilize unstructured data for financial forecasting. Unparalleled advances in multimodal deep learning have made it possible to utilize multimedia such as textual reports, news articles, streaming video content, audio conference calls, user social media posts, customer web searches, etc for identifying profit creation opportunities in the market. E.g., how can we leverage new and better information to predict movements in stocks and cryptocurrencies well before others? However, there are several hurdles towards realizing this goal - (1) large volumes of chaotic data, (2) combining text, audio, video, social media posts, and other modalities is non-trivial, (3) long context of media spanning multiple hours, days or even months, (4) user sentiment and media hype-driven stock/crypto price movement and volatility, (5) difficulties with traditional statistical methods (6) misinformation and non-interpretability of financial systems leading to massive losses and bankruptcies. At the AAAI-2023 Workshop on Multimodal AI for Financial Forecasting (Muffin@AAAI2023), we aim to bring together researchers from natural language processing, computer vision, speech recognition, machine learning, statistics, and quantitative trading communities to expand research on the intersection of AI and financial time series forecasting. We will also organize 2 shared tasks in this workshop – (1) Stock Price and Volatility Prediction post-Monetary Conference Calls and (2) Cryptocurrency Bubble Detection. This workshop will hold a research track and a shared task track. The research track aims to explore recent advances and challenges of multimodal AI for finance. As this topic is an inherently multi-modal subject, researchers from artificial intelligence, computer vision, speech processing, natural language processing, data mining, statistics, optimization, and other fields are invited to submit papers on recent advances, resources, tools, and challenges on the broad theme of Multimodal AI for finance. The topics of the workshop include but are not limited to the following: Transformer models / Self-supervised / Transfer Learning on Financial Data Machine Learning for Finance Natural Language Processing and Speech Applications for Finance Conversational dialogue modeling for Financial Conference Calls Social media and User NLP for Finance Entity extraction and linking, Named-entity recognition, information extraction, relationship extraction, and ontology learning in financial documents Financial Document Processing Multi-modal financial knowledge discovery Financial Event detection from Multimedia Visual-linguistic learning for financial video analysis Video understanding (human behavior cognition, topic mining, facial expression detection, emotion detection, deception detection, gait and posture analysis, etc.) Data annotation, acquisition, augmentation, and feature engineering, for financial/time-series analysis Bias analysis and mitigation in financial models and data Statistical Modeling for Time Series Forecasting Interpretability and explainability for financial AI models Privacy-preserving AI for finance All papers will be double-blind peer-reviewed. Muffin workshop accepts both long papers and short papers: Short Paper: Up to 4 pages of content including the references. Upon acceptance, the authors are provided with 1 more page to address the reviewer's comments. Long Paper: Up to 8 pages of content including the references. Upon acceptance, the authors are provided with 1 more page to address the reviewer's comments. Shared Task Track: Participants are invited to take part in shared tasks: (1) Financial Prediction from Conference Call Videos and (2) Cryptocurrency Bubble Detection. Participants are invited to submit a system paper of 4-8 pages of content including the references. Important Dates Paper submission deadline: December 23, 2022 Acceptance notification: January 5, 2023 Camera-ready submission: January 15, 2023 Muffin workshop at AAAI 2023: Feb 13, 2022 All deadlines are “anywhere on earth” (UTC-12) About the Shared Task The Multimodal AI for Finance Forecasting (Muffin) workshop will host two shared tasks on challenging multimodal financial forecasting problems using artificial intelligence. Follow this link for details on shared tasks: https://muffin-aaai23.github.io/shared_task.html Task-1: Financial Prediction from Conference Call Videos Monetary policy calls (MPC) provide important insights into the actions taken by a country’s central bank on economic goals related to inflation, employment, prices, and interest rates. Investors and analysts critically analyze these video calls to forecast prices of the stock market, treasury bonds, gold, and currency exchange rates post the conference call. Prior works in the NLP literature have looked at what is being said during press conferences although there is a greater need to focus on how it is being said. The use of multimodal (visual+textual+audio) input to answer this question has been largely limited. Non-verbal behavioral cues from conference videos such as eye movements, facial expressions, postures, gaits, the complexity of language, vocal tone, and facial expressions of the speakers may reflect emotions that subjects may not express through words and have been found to be strongly correlated with enhanced trading activities in the financial markets. Interpreting and extracting information from financial conference calls reveals difficult challenges such as (1) Gap in current multimodal AI methods for simultaneously leveraging visual, vocal, and verbal modalities; (2) Long length of videos (50min to 1 hour) with multi-page text transcripts (3) Need to explore few-shot, semi-supervised, and self-supervised methods due to limited training data; (4) Large variability in conference calls across geographies due to different speakers, demographics, and economic conditions causing unintended bias. To this end, we curated a dataset of video conference calls from 2009 to 2022 released by central banks of 6 major English-speaking economies - USA, Canada, European Union, United Kingdom, New Zealand, and South Africa. The data has been processed to extract video frames, audio recordings, and utterance-aligned text transcripts. The task is to predict the volatility and price movement of stock market indices, gold, currency exchange rates, and bond prices T days after a conference call. We provide a cumulative of 25K data points split across training/development/testing for experimentation. Relevant research paper: [1] MONOPOLY: Financial Prediction from MONetary POLicY Conference Videos Using Multimodal Cues Task 2: Cryptocurrency Bubble Detection on Social Media Cryptocurrency trading presents a new investment opportunity for maximizing profits. The rising ubiquity of speculative trading of cryptocurrencies over social media leads to rapid escalation and crash of price in a short period of time, also called bubbles, causing investment losses and bankruptcy. These crypto bubbles are strongly tied to user sentiment and social media usage as opposed to conventional value-driven stocks and equities. Such financial bubbles are often a result of social media hype and the intensity of contagion among users, rendering both conventional statistical models and contemporary ML models weak as they are not built to deal with large volumes of unstructured, user-generated text on social media. In order to identify and safeguard against such bubbles, we formulate the CryptoBubbles Detection Challenge - a novel multi-span prediction task over future days of time series price data for crypto assets. We have curated a dataset of the 50 most traded crypto coins by volume from the top 9 crypto exchanges such as Binance, Gatio, etc to obtain a time series of prices for 450+ crypto assets over five years accompanied by over 2.4 million related tweets. Relevant research paper: [2] Cryptocurrency Bubble Detection: A New Stock Market Dataset, Financial Task & Hyperbolic Models

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Call for Workshops and Tutorials at the Fourth Biennial Conference on Language, Data and Knowledge, LDK 2023
by Ana Ostroški Anić 30 Oct '22

30 Oct '22

[apologies for cross-posting] ============== Call for Workshops and Tutorials @ Fourth Conference on Language, Data and Knowledge (LDK2023) Date: 13 September 2023 (Workshop/Tutorials day), 14–15 September 2023 (Main Conference) Location: Vienna, Austria Website: http://2023.ldk-conf.org Submission Deadline: 19 December 2022 Submissions via: EasyChair ============== We are inviting proposals for workshops and tutorials to be held on September 13, 2023 in conjunction with the fourth biennial conference on Language, Data and Knowledge (LDK 2023) in Vienna, Austria. Building upon the success of the previous events held in Galway, Ireland in 2017, in Leipzig, Germany in 2019, and in Zaragoza, Spain in 2021, this conference will bring together researchers from across disciplines concerned with the acquisition, curation and use of language data in the context of data science and knowledge-based applications. Proposal submission We welcome workshop and tutorial proposals that are of relevance to the topics listed below. Submissions should be consistent with the main conference formatting guidelines and be 3–5 pages in length, plus unlimited pages for appendices. The decision on acceptance or rejection of a workshop proposal will be made on the basis of the overall quality of the proposal and its appeal to linguistics and knowledge-based communities. Other factors, such as overlap with other workshop proposals, or issues regarding logistics, will also be taken into account when making the final decision. Submissions should include the following details: 1. Title of the workshop or tutorial 2. List of organisers or tutorial presenters: List the names, affiliations, home page links, and provide short (one paragraph) biographies for all workshop organisers or tutorial presenters. 3. List of topics: For workshops, provide a list of topics of relevance to the workshop. For tutorials, provide a detailed outline of the topics that will be covered. 4. Detailed description: Provide a 200-word summary that motivates and describes the list of topics in further detail. 5. Past workshops or tutorials: Describe any previous editions of the same workshop or tutorial, along with an estimated size of the audience. 6. Format: Describe the proposed format for the event (physical/virtual). For instance, for workshops, describe the envisioned mix, i.e. invited talks, submitted paper presentations, poster sessions, panels, or demo sessions. For tutorials, describe to what extent the tutorial will consist of slide presentations vs. practical hands-on training. 7. Expected audience: Describe the expected size and composition of the audience. 8. Duration: Indicate if the workshop or tutorial is planned to last half a day (4h) or a full day (8h). 9. Technical requirements: List any special requirements, such as audio-visual equipment, poster boards, etc. 10. Committee members: For workshops, if available, provide a preliminary list of people who have agreed to serve as program committee members. 11. References: List relevant publications. Accepted workshops will be required to prepare a workshop website containing their call for papers and detailed information about the workshop organisation and timelines. Language: All submissions must be written in English. Proposals should be submitted via EasyChair at: https://easychair.org/cfp/LDK2023WP. Each proposal will be reviewed by the workshop and tutorial chairs and relevant members of the organising committee of LDK2023, and ranked based on the overall quality of the proposal and the workshop’s fit to the conference as detailed below. In particular, workshops should address research topics that satisfy each of the following criteria: 1. The topic proposed by the workshops should fall in the general scope of LDK2023. 2. The workshop’s target should be clear and anchor a specific technology, problem or application. 3. The aim of the workshop is to attract a broad community of interested individuals. 4. The format of the workshop can invite various types of contributions (oral and poster presentations) and can be accommodated in online/hybrid settings. 5. Workshop proposals on emerging topics are encouraged. Topics: 1. Fundamental technical and theoretical problems of language data / linked data and knowledge graphs. 2. Applications of language data and semantic web technologies in domains such as law, medicine, life science, digital humanities, mobility and smart cities, etc. 3. Research areas that have been largely neglected or underrepresented in language data and semantic web studies. 4. Other research areas relevant to language data and semantic web research (such as data science, artificial intelligence, big data analytics, human-computer interaction, natural language processing, and information retrieval). 5. New emerging topics. We encourage diversity in the organising and program committee: from different institutions and the presence of young researchers and PhD students. At least one of the organisers should be registered to LDK2023. All organisers (presenters) of accepted workshops are expected to: 1. Have their own (open) reviewing process and take care of their publicity (e.g., website, timelines, and call for papers). 2. Workshop organisers will be asked to: 1. Attend LDK2023 in person (at least one organiser). 2. Closely cooperate with the Workshop Chairs to finalise all organisational details. Workshop and tutorial chairs: - Ana Ostroški Anić – Institute of Croatian Language and Linguistics - Blerina Spahiu – University of Milano-Bicocca Important Dates: 19 Dec 22 Proposal submission deadline 16 Jan 23 Notification of accepted proposals 6 Feb 2023 Workshop website and CfP published 19 May 23 Suggested deadline for workshop paper submissions 16 June 23 Suggested deadline for notification for workshop paper submissions 30 June 23 Camera-ready submission deadline 13 September 2023 Workshop and tutorial day 14–15 September 2023 Main conference All deadlines refer to anywhere-on-earth time. Ana Ostroški Anić and Blerina Spahiu (Workshop and Tutorial Chairs)

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Call for Papers: The First Workshop on Context-aware NLP in eHealth, ICON 2022, India
by Mohammed Hasanuzzaman 29 Oct '22

29 Oct '22

Dear List members, WNLPe-Health 2022 - the first Workshop on Context-aware NLP in eHealth will be held at IIIT Delhi, India on December 15th, 2022 in conjunction with 19th International Conference on Natural Language Processing (ICON 2022) . It is currently recognised that as much as 30% of the world’s stored data is produced by the healthcare sector. However, this ‘data-rich’ sector does not currently explore data to the full potential which may allow the development of much more individual and person-centred AI technologies. For example, by combining ubiquitous data with user-generated and publicly available data, AI algorithms can guide and inform citizens about risk modifying behaviors in an appropriate context. Context can be defined as “any information that can be used to characterize the situation of an entity. An entity is a person, place, or object that is considered relevant for the interaction between a user and an application, including the user and applications themselves.” The goal of this workshop is to provide a unique platform to bring together researchers and practitioners in healthcare informatics working with health-related data, especially textual data, and facilitate close interaction among students, scholars, and industry professionals on eHealth language processing tasks. In particular, we are interested in works that advance state-of-the-art NLP and ML techniques for eHealth domains by incorporating more contextual knowledge in order to make models explainable, trustable and robust in changing situations. We are interested in research on novel approaches, works in progress, comparative analyses of tools, and advancing state-of-the-art work in eHealth NLP methods, tools, and applications. Relevant topics for the workshop include, but are not limited to, the following areas: - Modelling of healthcare text in classical NLP tasks (tagging, chunking, parsing, entity identification, relation extraction, coreference, summarization, etc.) for under-resourced languages. - Person-centred NLP applications for eHealth including early risk prediction. - Algorithm for Context Data reasoning. - Context sensitive recommendations to individual citizens and patients. - Integration of structured and unstructured resources for health applications. - Domain adaptation techniques for clinical data. - Medical terminologies and ontologies. - Interpretability and analysis of NLP models for healthcare applications. - Processing clinical literature and trial reports. - Bayesian modelling and feature selection techniques for high-dimensional healthcare data. - Multimodal learning for decision support systems: Ubiquitous data, public databases, user generated content (in combination with wearable sensor technology). Full paper submissions are limited to 8 pages, while short paper submissions should be less than 4 pages (including bibliography). For more information: https://sites.google.com/view/wnlpe-health2022/submissions Important Dates Paper submission deadline: 20th November, 2022 (23:59 Hawaii Standard Time) Notification of acceptance: 26th November, 2022 Camera ready copy deadline: 1st December, 2022 Workshop date: 15th December, 2022 Best regards, Mohammed <https://sites.google.com/view/wnlpe-health2022/submissions#h.jxoic3mpxg99> Important Dates Paper submission deadline: 20th November, 2022 (23:59 Hawaii Standard Time) Notification of acceptance: 26th November, 2022 Camera ready copy deadline: 1st December, 2022 Workshop date: 15th December, 2022 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ *Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University <https://www.mtu.ie/> * *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *Member, Lero, the SFI Research Centre for Software <https://lero.ie/>**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS ONE, Computer Speech and Language* Dept. of CS Munster Technological University Bishopstown campus Cork e: mohammed.hasanuzzaman(a)adaptcentre.ie <email(a)adaptcentre.ie>/ Ireland https://mohammedhasanuzzaman.github.io/ [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 29/10/22, 02:19:47

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Internship at GETALP-LIG-UGA - 5/6 months : Context-Aware Neural Machine Translation Evaluation
by Emmanuelle Esperança-Rodier 28 Oct '22

28 Oct '22

Dear colleagues, Please find hereafter an internship proposal. Feel free to transfer it to your M2 students. Kind regards ---------------------------------------------------------------------------------------------------------------------------------- The LIG (Laboratoire d'Informatique de Grenoble) proposes the following Master 2 level internship: Title: Context-Aware Neural Machine Translation Evaluation Description: Context-Aware Neural Machine Translation (CA-NMT) [Tiedemann and Scherrer, 2017; Laubli et al., 2018; Miculicich et al., 2018; Maruf et al., 2019; Zheng et al., 2020; Ma et al. 2021; Lupo et al., 2022] is currently one of the main research axes in NLP, with strong impact on both academic and company research. CA-NMT systems are evaluated with both "average-quality-measuring" metrics such as BLEU [Papineni et al., 2002], and dedicated contrastive test suites [Voita et al., 2019; Muller&Rios 2018; Lopes et al., 2020]. The latter have been designed to measure specifically to which degree CA-NMT systems are able to exploit context while scoring sentences to be translated in context. Indeed the average translation quality measured by BLEU has been shown inadequate in this respect [Lupo et al., 2022]. When evaluating models with contrastive test suites however, models are only asked to score sentences and not to translate them. The ability of models to use context is thus only implicitly evaluated. With the work planned in this internship we would like to make a step ahead in the evaluation of CA-NMT systems. The idea is to exploit annotated data like those already used for [Muller&Rios 2018; Lopes et al., 2020] to explicitly involve discourse phenomena, such like coreferences and anaphora, in the evaluation procedure of CA-NMT models. Such evaluation procedure will allow possibly to design more accurate and adequate evaluation measures for "discourse-phenomena-aware" CA-NMT systems. Practical Aspects: In this internship the student will use Machine Learning and Deep Learning tools to automatically annotate parallel data (at least English-French, but possibly also English-German and other language pairs) used for NMT with discourse phenomena, as well as Neural Machine Translation tools for automatically generating translations that will be used for CA-NMT evaluation. Based on the annotation of discourse phenomena, we will design an adequate evaluation metric for CA-NMT systems, taking into account the capability of the system to exploit discourse phenomena. Finally, the evaluation metric will be tested by evaluating CA-NMT systems already available or trained from scratch at LIG by the student. Profile: Master 2 student level in computer science or NLP Interested in Natural Language Processing and Deep Learning approaches Skills in machine learning for probabilistic models Computer science skills: Python programming. Some knowledge of deep learning libraries such like Pytorch (Fairseq would be a plus). Data manipulation and annotation The internship may last from 5 up to 6 months, it will take place at LIG laboratory, GETALP team (http://lig-getalp.imag.fr/ <http://lig-getalp.imag.fr/>), starting from January/February 2022. The student will be tutored by Marco Dinarelli (http://www.marcodinarelli.it <http://www.marcodinarelli.it/>), andEmmanuelle Esperança-Rodier (https://lig-membres.imag.fr/esperane/ <https://lig-membres.imag.fr/esperane/>) Interested candidates must send a CV and a motivation letter to (both adresses) marco.dinarelli(a)univ-grenoble-alpes.fr <mailto:marco.dinarelli@univ-grenoble-alpes.fr>, Emmanuelle.Esperanca-Rodier(a)univ-grenoble-alpes.fr <mailto:Emmanuelle.Esperanca-Rodier@univ-grenoble-alpes.fr>. [Tiedemann and Scherrer, 2017] Neural ma- chine translation with extended context. Workshop on Discourse in Machine Translation 2017. [Laubli et al., 2018] Has machine translation achieved human parity? a case for document-level evaluation. EMNLP 2018. [Miculicich et al. 2018] Document-level neural machine translation with hierarchical attention networks. EMNLP 2018. [Maruf et al., 2019] Selective attention for context-aware neural machine translation. NAACL 2019. [Zheng et al., 2020] Towards Making the Most of Context in Neural Machine Translation. IJCAI 2020. [Ma et al., 2021] A Comparison of Approaches to Document-level Machine Translation. arXiv pre-print 2021. [Lupo et al., 2022] Divide and Rule: Effective Pre-Training for Context-Aware Multi-Encoder Translation Models. ACL 2022. [Papineni et al., 2022] Bleu: a method for automatic eval- uation of machine translation. ACL 2002. [Voita et al., 2019] "When a good translation is wrong in context: Context-aware machine translation improves on deixis, ellipsis, and lexical cohesion". ACL 2019. [Muller&Rios 2018] "A large-scale test set for the evaluation of context-aware pronoun translation in neural machine translation." CMT 2018 [Lopes et al., 2020] "Document-level neural MT: A systematic comparison". EAMT 2020 ---------------------------------------------------------------------------------------------------------------------------------- ___________________________________________ Emmanuelle Esperança-Rodier Enseignante-Chercheuse en Linguistique Informatique (Section 7) Maîtresse de Conférences - Hors Classe UMR 5217 - LIG (Laboratoire d’Informatique de Grenoble) GETALP (Groupe d’Étude en Traduction Automatique/Traitement Automatisé des Langues et de la Parole) Bâtiment IMAG - 700 avenue Centrale - Domaine Universitaire de Saint-Martin-d’Hères 04 57 42 14 92 Service des Langues UGA Coordinatrice des enseignements d’anglais pour la composante IM2AG - Mathématiques

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Internship offer (with PhD opportunity), LS2N, Nantes, France. Diving into neural language models for improving discourse analysis tasks
by Nicolas HERNANDEZ 28 Oct '22

28 Oct '22

* Title: Diving into neural language models for improving discourse analysis tasks * Keywords: Neural Language Models, Discourse analysis, Argumentative structure, Probing, Transfer Learning * Supervisors: Nicolas.Hernandez(a)univ-nantes.fr and Laura.Monceaux(a)univ-nantes.fr * Location: TALN@LS2N, Nantes, France - https://taln-ls2n.github.io * Starting date: Jan-2023 (flexible) ~6 months * Opportunity: to pursue a PhD in the Lexhnology ANR project https://www.ls2n.fr/stage-these/diving-into-neural-language-models-for-impr… # MISSION Fine-tuning a pre-trained language model has become the de facto standard for handling natural language processing tasks. Since many of these tasks are dealing with discourse and dialogue structures (e.g. conversational agent, summarization, dialogue acts recognition, argumentation mining), it is crucial to understand how such information is captured by the language models and to study how to intervene on the learning of this type of information: what is learned, what is missing, how to add it, how to keep the useful information in a fine-tuned, distilled, pruned or quantized model... The internship mission will be defined in this context, collaboratively with the candidate. One possibility would be to start by probing the language models on discourse analysis tasks. We wish the successful candidate to pursue a PhD on the subject in the Lexhnology project. * A. Rogers, O. Kovaleva, and A. Rumshisky. A Primer in BERTology: What We Know About How BERT Works. Transactions of the Association for Computational Linguistics (TACL), 8:842–866. 2020. * V. Araujo, A. Villa, M. Mendoza, M.-F. Moens, and A. Soto, “Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations,” In EMNLP, Nov. 2021. * M. Lukasik, B. Dadachev, G. Simões, & K. Papineni, Text Segmentation by Cross Segment Attention, In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), 4707–4716, November 16–20, 2020. * L. Huber, C. Memmadi, M. Dargnat, and Y. Toussaint. Do sentence embeddings capture discourse properties of sentences from scientific abstracts ? In the First ACL Workshop on Computational Approaches to Discourse, 86–95, 2020. * F. Koto, J. H. Lau, and T. Baldwin. Discourse Probing of Pretrained Language Models. In Proceedings of the 20th Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), Mexico (virtual), 2021 # THE LEXHNOLOGY PROJECT Lexhnology is a project funded by the French National Agency (ANR). It will start on January 2, 2023 for a period of 42 months. Given the growing extraterritoriality of American law, this domestic law is increasingly impacting other countries' jurisdiction. It is of prime importance that second-language (L2) users of legal English be able to analyze case law. Teaching the argumentative structure to L2 learners is a widely accepted method in languages for specific purposes (LSP) L2 teaching/learning and may help learners understand the legally-binding rationale behind judicial decisions. Despite this context, consensus about the linguistic definition of the communicative functions, also known as moves, in case law does not yet exist. In addition, no Natural Language Processing (NLP) techniques are currently able to automatically identify moves in case law. Finally, the effectiveness of making moves explicit to L2 learners has not been measured experimentally. To answer these questions, Lexhnology will take an innovative interdisciplinary approach – linguistic, NLP, LSP teaching/learning. The project is the joint collaboration of four laboratories, namely LS2N, CRINI, LAIRDIL and ATILF. # APPLICATION The successful candidate is expected to: * Have/Prepare a Master Degree (or equivalent) in Natural Language Processing, Computer Sciences, Computational Linguistics or Data sciences, * Have a excellent background in deep learning and more generally machine learning, * Have strong programming skills (software dev. and python) * Have good verbal communication and writing skills (in French/English) * Have facility with teamwork as well as working autonomously * Be dynamic and curious We look forward to receiving your meaningful online application including: * a letter of motivation * a CV * contacts for two references

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[Jobs] ELLIS PhD Program: 150+ PhD positions in machine learning (incl. NLP)
by lynn.anthonissen＠uni-tuebingen.de 28 Oct '22

28 Oct '22

Apply by November 15, 2022, to join the ELLIS PhD Program in 2023 – Details at: https://ellis.eu/news/ellis-phd-program-call-for-applications-2022 The ELLIS PhD program has launched its yearly recruiting round and is now accepting applications. A key pillar of the ELLIS initiative, the program's central aim is to foster and educate the best talent in machine learning and related research areas by pairing outstanding students from across the globe with leading researchers in Europe. The program also offers a variety of networking and training activities. Each PhD student is co-supervised by two ELLIS scientists based in different European countries. Over the course of their degree, students complete a mandatory exchange of at least six months at their co-advisor's lab. One of the advisors may also come from industry, in which case the student will collaborate closely with the industry partner and spend their exchange conducting research at an industrial lab. Research areas include (but are not limited to) the following machine learning-driven research fields: - AutoML - Bayesian & Probabilistic Learning - Bioinformatics - Causality - Computational Neuroscience - Computer Graphics - Computer Vision - Deep Learning - Earth & Climate Sciences - Health - Human Behavior, Psychology & Emotion - Human Computer Interaction - Human Robot Interaction - Information Retrieval - Interactive & Online Learning - Interpretability & Fairness - Law & Ethics - Machine Learning Algorithms - Machine Learning Theory - ML in Chemistry & Material Sciences - ML in Finance - ML in Science & Engineering - ML Systems - Multi-agent Systems & Game Theory - Natural Language Processing - Optimization & Meta Learning - Privacy - Quantum & Physics-based ML - Reinforcement Learning & Control - Robotics - Robust & Trustworthy ML - Safety - Security, Synthesis & Verification - Symbolic Machine Learning - Unsupervised Learning You can watch our introductory video here: https://www.youtube.com/watch?v=kWXNpnxkfg0. The deadline for applications is November 15, 2022. Interested candidates should apply online through the ELLIS application portal. For details on the program, specific research areas, and the application process, please consult the call for applications: https://ellis.eu/news/ellis-phd-program-call-for-applications-2022.

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PhD studentship in Natural Language Processing at the University of Edinburgh funded by DeepMind
by Mirella Lapata 28 Oct '22

28 Oct '22

The School of Informatics, University of Edinburgh, is thrilled to announce a PhD scholarship funded by DeepMind. The scholarship covers tuition fees (at the Home/International tuition fee rate), provides annual stipend of £17,668 annum (for 4 years full time study) and provides a research training and support grant. The student will be supervised by Dr. Mirella Lapata and will also benefit from mentoring from DeepMind staff during their period of study.  Applicants would be expected to work on an topic drawn from the following research areas: - multimodal natural language understanding and generation - long-form and retrieval-augmented text generation - Multilingual generation Applicants wishing to apply for the scholarship should meet one OR both of the following criteria: - are resident of a country and/or region underrepresented in AI; - identify as women including cis and trans people and non-binary or gender fluid people who identify in a significant way as women or female; - and/or identify as Black or other minority ethnicity; The successful candidate will have a good honours degree or equivalent in artificial intelligence, computer science, machine learning, or a related discipline; or have a breadth of relevant experience in industry/academia/public sector, etc. They will have strong programming skills and previous experience in natural language processing. If you have further questions, please Dr. Mirella Lapata, mlap(a)inf.ed.ac.uk. To apply, please follow the instructions at: http://www.inf.ed.ac.uk/postgraduate/apply.html As your research area, please select "Informatics: ILCC: Language Processing, Speech Technology, Information Retrieval, Cognition". On the application form under "Research Project", please state "DeepMind Scholarship". IMPORTANT: After submitting your application through the website, please email your applicant number to mlap(a)inf.ed.ac.uk. Application deadline: 10th December 2022 [applications received after the deadline may be considered, but this cannot be guaranteed]. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Webminar by Vered Shwartz (The University of British Columbia-Vancouver)
by HiTZ Zentroa 28 Oct '22

28 Oct '22

Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). We are organizing one seminar every month. You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: * *Speaker*: Vered Shwartz (The University of British Columbia-Vancouver) * *Title*: Incorporating Commonsense Reasoning into NLP Models * *Date*: November 3, 2022, 15:30 CET * *Summary*: NLP models are primarily supervised, and are by design trained on a sample of the situations they may encounter in practice. The ability of models to generalize to and address unknown situations reasonably is limited, but may be improved by endowing models with commonsense knowledge and reasoning skills. In this talk, I will present several lines of work in which commonsense is used for improving the performance of NLP tasks: for completing missing knowledge in underspecified language, interpreting figurative language, and resolving context-sensitive event coreference. Finally, I will discuss open problems and future directions in building NLP models with commonsense reasoning abilities. * *Bio*:Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia and a faculty member at the Vector Institute for Artificial Intelligence. Her research interests include commonsense reasoning, computational semantics and pragmatics, and multiword expressions. Previously, Vered was a postdoctoral researcher at the Allen Institute for AI (AI2) and the University of Washington, and received her PhD in Computer Science from Bar-Ilan University. * *Upcoming webinars*: o Machine translation as a tool for multilingual information: different users and use scenarios -- Maarit Koponen (December 1, 2022) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa

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Job-Research Assistant-Inclusive Language Detection-Galway- Last Date 5.00 pm 28th October 2022
by Bharathi Raja Asoka Chakravarthi 28 Oct '22

28 Oct '22

*Research Assistant* *Natural Language Processing and Linked Data* *School of Computer Science and Data Science Institute* *Ref. No. University of Galway 272-22* Applications are invited from suitably qualified candidates for a full-time, fixed-term position as a Research Assistant with the School of Computer Science and Data Science Institute at the University of Galway. This position is funded by SFI Insight Research Centre for Data Analytics and Fidelity Investments and is available from 1 November 2022 to contract end date of 30 October 2023. The School of Computer Science is ambitious and growing, and we invite the new appointees to contribute to this together with us. The vision of the School of Computer Science is to build a strong and sustainable learning environment with world-recognised research that informs high-quality undergraduate and postgraduate teaching that is inclusive and relevant to the needs of our stakeholders and society in general. The School of Computer Science was initially established in 1991 as the Information Technology Discipline, and became a School in 2019, recognising its growth and significance. DSI incorporates the University of Galway node of the nationwide Insight Centre for Data Analytics. DSI hosts more than 100 staff and has established itself as a top player worldwide in the areas of Semantic Web and Linked Data. It has successfully implemented a research strategy around the goal of “Enabling Networked Knowledge”, which aims at capitalizing on knowledge as the fuel for the digital service economy, by linking information and exploiting the resulting knowledge graphs as the basis for economic productivity. The institute performs fundamental and applied research in a range of research areas to enable this, including data streams and sensor networks, knowledge discovery, natural language processing, social semantics and social network analysis, among others. Research outcomes are applied in use cases across a range of domains, including eGovernment, financial services, manufacturing, eHealth and Life Sciences. School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> *https://www.insight-centre.org/* <https://www.insight-centre.org/> *Job Description:* This research assistant position is in the area of Inclusive language detection, and will focus on the combination of existing natural language processing and linked data technologies. This work will build on the definition of inclusive language provided in the Fidelity report “Inclusion Guide: Language, Accessibility and more”. In addition, we will investigate open benchmarks. The successful candidate supports the activities of the project through provision of research and administrative assistance and will work under the direction of the Project Leaders Dr Bharathi Raja Chakravarthi and Dr. John McCrae. The School of Computer Science and Data Science Institute (DSI) at University of Galway is inviting applications for the position of research assistant for 1 year in the context of the SFI Insight Research Centre for Data Analytics. *Duties:* *Research* - Actively participate as a member of a research team and assist an individual research leader or team to conduct a particular study (or group of studies). - To provide assistance in conducting research activities, including planning, organizing, conducting, and communicating research studies within the overall scope of a research project. - To coordinate and perform a variety of independent tasks and team activities involved in the collection, analysis, documentation and some interpretation of information/results. - Conduct literature and database searches and interpret and present the findings of the literature searches as appropriate. - Assist in analysis and interpretation of results of own research. *Write up & Disseminate* - Write up results from own research activity (e.g. as project report) for review by PI, including preparing technical reports, conclusions and recommendations. - Contribute to the publication of findings. - Provide input into the research project’s dissemination, in whatever form (report, papers, chapters, book) as directed by the PI/project leader. Authorship should be decided in line with guidelines such as the Vancouver Protocol, or similar authorship guidelines as appropriate. - Present on research progress and outcomes e.g. to bodies supervising research; steering groups; other team members, as agreed with the PI/project leader. - Should write at least workshop level papers. *Management* - Work under the direction of the Principal Investigator/Project Leader. Plan and manage own day-to-day research activity within this framework & direction. - Provide guidance as required to any support staff and/or research students assisting with the research project, as agreed with the Principal Investigator/Grant holder. - To perform other related duties incidental to the work described herein. - Where appropriate provide advice and / or assistance to support staff, research students. *Qualifications/Skills required:* *Essential Requirements:* - MSc in Natural Language Processing, Computer Science or Linguistics - Experience with natural language processing, linked data or related technologies - Excellent understanding of experimental design and scientific methodologies - Strong command of oral and written English - Good programming skills and evidence of previously completed software projects *Desirable Requirements:* - Strong knowledge of language technology for equality, diversity, and inclusion - Knowledge of debiasing techniques in NLP task - Knowledge of gender inclusive languages - Programming experience with deep learning in Python - Strong publication record - Track record of contribution to open source projects. *Employment permit restrictions apply for this category of post* *Salary: *€27,380 to €31,050 per annum, per annum pro rata for shorter and/or part-time contracts (public sector pay policy rules pertaining to new entrants will apply *Start date*: Position is available from November 2022 *Continuing Professional Development/Training*: Further information on research and working at University of Galway is available on Research at University of Galway <http://www.nuigalway.ie/our-research/> Researchers at University of Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans. University of Galway provides continuing professional development supports for all researchers seeking to build their own career pathways either within or beyond academia. Researchers are encouraged to engage with our Researcher Development Centre (RDC) upon commencing employment - see https://www.universityofgalway.ie/rdc/ for further information. For information on moving to Ireland please see www.euraxess.ie Further information about the School of Computer Science and Data Science Institute is available at School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> https://www.universityofgalway.ie/dsi/ *NB*: Gárda vetting is a requirement for this post *To Apply:* Applications to include a covering letter, CV, and the contact details of three referees should be sent, via e-mail (in word or PDF only) to Dr. Bharathi Raja Chakravarthi ( bharathiraja.asokachakravarthi(a)universityofgalway.ie) and Dr. John P. McCrae, (john.mccrae(a)universityofgalway.ie) Please put reference number *University of Galway 272-22 *in subject line of e-mail application. *Closing date for receipt of applications is 5.00 pm 28th October 2022* We reserve the right to re-advertise or extend the closing date for this post. University of Galway is an equal opportunities employer. All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based recruitment with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en

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Clickbait Spoiling at SemEval 2023: Call for Participation
by maik.froebe＠uni-jena.de 28 Oct '22

28 Oct '22

We invite you to participate in the SemEval 2023 shared task on clickbait spoiling. Clickbait spoiling means generating or extracting a short message for a clickbait post that spoils the clickbait by filling its curiosity gap. Learn more at https://clickbait.webis.de/ ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Registration January 10, 2023: Submission deadline February 2023: Participant paper submission March 2023: Peer review notification April 2023: Camera-ready participant papers submission Summer 2023: SemEval workshop (co-located with a major NLP conference) Best regards, PAN team

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Prof / Ass Prof in Computer Science, Leeds-SWJTU Joint School, Chengdu China
by Eric Atwell 28 Oct '22

28 Oct '22

An interesting promotion opportunity to teach our Leeds CS curriculum in English to top Chinese students in the Leeds-SWJTU Joint School, Chengdu, China https://www.timeshighereducation.com/unijobs/listing/314259/tenure-track-pr…<https://www.timeshighereducation.com/unijobs/listing/314259/tenure-track-pr…> "... to deliver courses in English, supervise Joint School students in research projects, contribute to various services at SWJTU-Leeds Joint School, and conduct academic research in teams at corresponding parent school ..."

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First CfP: KONVENS 2023 Ingolstadt, Germany
by Friedrich Annemarie (CR/AIR3 GS/PJ-TOP98) 27 Oct '22

27 Oct '22

Call for Papers: KONVENS 2023, Ingolstadt, Germany We cordially invite submissions of papers and abstracts to KONVENS 2023, which takes place from September 18-22, 2023 at the Technische Hochschule Ingolstadt (Bavaria, Germany). Next to its technical program, KONVENS will feature a lively exchange between academic researchers and colleagues from industry, as well as workshops, tutorials, shared tasks, and networking events. SPECIAL THEME Natural language processing (NLP) technology is already part of our everyday life. We hence particularly invite contributions discussing the interaction of language technology and its users, including the application of speech and text technology in various settings (e.g., dialogue processing, mobility, medicine, e-commerce, or digital humanities). We encourage authors to discuss ethical aspects. We invite two types of submissions: 1. long and short papers that will be archived in the ACL Anthology, and 2. abstracts on ongoing work, student/PhD theses, etc., which will not be archived. PAPER SUBMISSION INFORMATION We welcome original, unpublished contributions on research, development, applications and evaluation, covering all areas of natural language processing, ranging from basic questions to practical implementations of natural language resources, components and systems. We encourage the submission of NLP approaches to the German language, and survey papers describing the state of the art in German language and speech processing. We invite contributions from both academia and industry. We welcome the following types of paper submissions: · Long papers (8 pages plus references and appendix), describing original research with substantial new results. · Short papers (4 pages plus references and appendix), including small focused contributions, work in progress, as well as descriptions of projects, systems and resources. Accepted papers will be presented orally or as posters as determined by the program chairs. The decisions will be based on the nature rather than the quality of the work. The conference languages are English and German. We encourage the submission of contributions in English. Each submission must include a mandatory discussion of Ethical Considerations as well as a section on Limitations (both sections do not count towards the page limit). Papers without these sections will be desk-rejected. The review process will be double-blind. Submissions must be anonymized accordingly. The conference proceedings will be published in the ACL Anthology. ABSTRACT SUBMISSION INFORMATION To foster interaction and discussion in our community, we also invite abstracts (max. 2 pages plus references) on the following topics: * Ongoing projects, open source toolkits and software, repositories, etc. * Bachelor or Master theses, student projects * PhD theses (ongoing or finished) * Use of NLP technology within industrial products * Opinion pieces Abstracts should not be anonymized. They will be made available to conference participants, but they will not be archived. Accepted abstracts will be presented as posters at the conference. We explicitly invite students and doctoral researchers to join the event and present their work and obtain feedback in our student poster session by submitting an abstract. IMPORTANT DATES * May 19th, 2023: Paper submission due (all submission types) * June 30th, 2023: Notification of acceptance * July 15th, 2023: Camera-ready papers due * September 18-22 2023: KONVENS INSTRUCTIONS FOR AUTHORS Papers and abstracts must be formatted in accordance with the ACL style sheets<https://github.com/acl-org/acl-style-files>. We strongly encourage authors to use LaTeX in preparing their document. Information on the submission procedure will follow shortly. On Behalf of the Organization Committee Munir Georges, TH Ingolstadt Annemarie Friedrich, Bosch Center for Artificial Intelligence, Renningen Aaricia Herygers, TH Ingolstadt ========================================================================================= Mit freundlichen Grüßen / Best regards Dr. Annemarie Friedrich Natural Language Processing and Semantic Reasoning (CR/PJ-AI-R26) Robert Bosch GmbH | Postfach 10 60 50 | 70049 Stuttgart | GERMANY | www.bosch.com Tel. +49 711 811-49626 | Mobil +49 172 3008243 | Annemarie.Friedrich(a)de.bosch.com<mailto:Annemarie.Friedrich@de.bosch.com> Sitz: Stuttgart, Registergericht: Amtsgericht Stuttgart, HRB 14000; Aufsichtsratsvorsitzender: Prof. Dr. Stefan Asenkerschbaumer; Geschäftsführung: Dr. Stefan Hartung, Dr. Christian Fischer, Filiz Albrecht, Dr. Markus Forschner, Dr. Markus Heyn, Rolf Najork

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First Call for Papers: Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023)
by Fahad Khan 27 Oct '22

27 Oct '22

============== Call for Papers @ Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023) Dates: 12–13 September 2023 (Workshops/Tutorials day), 14–15 September 2023 (Main Conference) Location: Vienna, Austria Website: http://2023.ldk-conf.org Submission Deadline: 10 March 2023 ============== We invite submissions for the fourth biennial conference on Language, Data and Knowledge (LDK 2023) to be held in Vienna, Austria in September 2023. This conference aims to bring together researchers from across different disciplines concerned with the acquisition, treatment, curation and use of language data in the context of data science and knowledge-based applications. This edition builds upon the success of the inaugural event held in Galway, Ireland in 2017, the second LDK in Leipzig, Germany in 2019, and the third LDK in Zaragoza, Spain in 2021. Paper submission We welcome submission of relevance to the topics listed below. Submissions can be in the form of: - Long papers: 9–12 pages; - Short papers: 4–6 pages. All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates <https://github.com/acl-org/acl-style-files> should therefore be used for all conference submissions. As the reviewing process is single-blind, submissions should not be anonymized. More information will be provided soon regarding the submission platform and respective link. Presentation format Accepted submissions will be selected for oral or poster presentation based on recommendations from the reviewers. This decision will not reflect any difference in the quality of the papers, and there will be no distinction between oral and poster presentations in the published proceedings. Authors of accepted short papers or posters are welcome to present their work as a demo in addition to the regular presentation. The conference will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the conference (either remotely or on-site). There will be no registration fee administered for participating in LDK 2023. Topics Relevant topics for the conference include, but are not limited to, the following fields: Language Data - Language data construction and acquisition - Language data annotation - FAIR data practices for language data - Language data portals and metadata about language data - Organisational and infrastructural management of language data - Multilingual, multimedia and multimodal language data - Evaluation, provenance and quality of language data - Visualisation of language data - Standards and interoperability of language data - Legal aspects of publishing language data - Under-resourced languages - e-Lexicography - Semantic processing Knowledge Graphs - Linguistic linked data and the multilingual semantic web - Ontologies, terminologies, wordnets, framenets and related resources - Information and knowledge extraction (taxonomy extraction, ontology learning) - Data, information and knowledge integration across languages - (cross-lingual) ontology alignment - Entity linking and relatedness - Linked data profiling - Knowledge representation and reasoning - Knowledge graphs for corpora processing and analysis Applications for Language, Data and Knowledge - Question answering and semantic search - Text analytics on big data - NLP for language documentation and preservation - Speech recognition and synthesis - Spoken language processing - Semantic content management - Computer-aided language learning - Natural language interfaces to big data - Knowledge-based NLP - Deep learning and machine learning for and on LLOD - Other applications Use Cases in Language, Data and Knowledge Contributions are welcome where the topics above - and others within the scope of Language, Data and Knowledge - are applied to domain-specific use cases, including but not limited to social sciences and humanities, legal, life sciences, FinTech, cybersecurity. Organising committee Conference Chairs - Jorge Gracia – University of Zaragoza - John P. McCrae – University of Galway Program Chairs: - Sara Carvalho – University of Aveiro - Anas Fahad Khan – Institute for Computational Linguistics “A. Zampolli” Workshop and tutorial chairs: - Ana Ostroški Anić – Institute of Croatian Language and Linguistics - Blerina Spahiu – University of Milano-Bicocca Local Chair: - Dagmar Gromann – University of Vienna Proceedings Chair: - Ana Salgado – Lisbon Academy of Sciences Important Dates 10 March 2023 Paper submission deadline 28 April 2023 Notification 26 May 2023 Camera-ready submission deadline 12–13 September 2023 Pre-conference events 14–15 September 2023 Main conference Note that a call for workshop proposals is to follow with a submission deadline for 19th of December. All deadlines refer to anywhere-on-earth time. Program Committee (to be announced)

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Internship : Study on the accuracy of citations in scientific papers
by AMIRA BARHOUMI 27 Oct '22

27 Oct '22

Call for Internship applications in Natural Language Processing Title : Study on the accuracy of citations in scientific papers Starting date : February 2023 Application deadline : December 5th, 2022 Location: LIG laboratory, Grenoble Alps University, France Keywords: Natural language processing, Scientific literature, citation accuracy Context : The NanoBubbles ERC Synergy project’s objective ( https://nanobubbles.hypotheses. org ) is to understand how, when and why science fails to correct itself. The project focuses on claims made within the field of nanobiology. Project members combine approaches from the natural sciences, computer science, and the social sciences and humanities (Science and Technology Studies) to understand how error correction in science works and what obstacles it faces. For this purpose, we aim to trace claims and corrections through various channels of scientific communication (journals, social media, advertisements, conference programs, etc.) via both qualitative and digital methods. Internship objectives : In scientific papers, citations acknowledge the sources and help the reader to find more information about the citation context. Citations are also an important indicator ex ploited to identify significant publications in a specific scientific field (Arag on 2013). They are used for different purposes, e.g. referring to state of the art, to a specific method or result, and they reflect how authors frame their work and this diversity impacts future academics adoption (Jurgens 2018). Recently, there have been numerous research in Natural Language Processing on citation analysis in scientific literature. Studies of citation behavior aim at understanding how researchers cited a paper in their work. Existing works on citation analysis deal with determining citation sentiment (Liu 2017, Athar 2011), finding out citation function (Yu 2020, Pride 2019, Bakhti 2018) and identifying criti cal citation contexts (Te 2022). Nevertheless, studies that evaluate the accuracy of citations are scarce. Studies on the accuracy of citations in various scientific disciplines demonstrate an error rate of 25%-54% (Jergas 2015, Siebers 2000, Kristof 1997, Key 1977). These errors alter the original content and meaning of the cited paper. They can range from minor to major errors in citation accuracy. Several studies describe various issues that may arise when citing original research done by others. For example, in the following sentence “ it has been shown that bubblegum is much more pink than flamingo while running very fast [Einstein A., 1916] ”: * “ [Einstein A., 1916] ” represents the "citation" * The citation refers to the following scientific paper “ Einstein, A. (1916 (translation 1920)), Relativity: The Special and General Theory ” * The Einstein’s paper represents the cited paper * The cited paper is not correlated with the meaning of the sentence, i.e. there is no relation between the colors and the relativity notion. The aim of this internship is to assess the content of both cited and citing papers in scientific literature, i.e. study the correlation between the citation and its context in the citing paper in order to identify miss-citations. The intern tasks would then be to (1) test and compare unsupervised NLP methods and pre-trained embedding models (SciBert, BioBert, etc. ) in order to measure the accuracy of citations using available datasets, and to (2) provide project members with a set of reliable tools. Skills : * Being enrolled in a Master in Natural Language Processing, computer science or data science. * Good programming skills in Python, experience with natural language processing tools and frameworks, knowledge of machine learning methods and deep learning technics. * Ability to communicate and write in English is a plus Scientific environment : The work will be conducted within the Sigma team of the LIG labora tory (http://sigma.imag.fr). The recruited person will be welcomed within the team which offer a stimulating, multinational and pleasant working environment. Instructions for applying : Applications must contain a CV + letter/message of motivation + mas ter grades + letter(s) of recommendation (or names for potential letters), and be addressed to Cyril Labbé (cyril.labbe(a)imag.fr) and Amira Barhoumi (amira.barhoumi(a)univ-grenoble-alpes.fr). Applica tions will be considered on the fly. It is therefore advisable to apply as soon as possible. References : * (Arag on 2013) Arag on M. A measure for the impact of research. Scientific reports. 2013;3(1):1–5. * (Jurgens 2018) Jurgens D, Kumar S, Hoover R, Mc-Farland D, Jurafsky D. Measuring the Evo lution of a Scientific Field through Citation Frames. Transactions of the Association for Com putational Linguistics. 2018;6:391–406. * (Jergas 2015) Jergas H, Baethge C. Quotation accuracy in medical journal articles-a systematic review and meta-analysis. PeerJ. 2015;3:e1364. * (Kristof 1997) Kristof C. Accuracy of reference citations in five entomology journals. Am Ento mol. 1997;43(4):246-251. * (Key 1977) Key JD, Roland CG. Reference accuracy in articles accepted for publication in the Archives of Physical Medicine and Rehabilitation. Arch Phys Med Rehabil. 1977;58(3):136-137. * (Siebers 2000) Siebers R, Holt S. Accuracy of references in five leading medical journals. Lancet. 2000;356(9239):1445. * (Te 2022) Te S, Barhoumi A, Lentschat M, Bordignon F, Labb ? e C, Portet F. Citation Context Classification: Critical vs Non-critical. In proceedings of the Third Workshop on Scholarly Document Processing. 2022:49-53. * (Liu 2017) Liu H. Sentiment analysis of citations using word2vec. 2017;CoRR, abs/1704.00177. * (Athar 2011) Athar A. Sentiment analysis of citations using sentence structure-based features. In Proceedings of the ACL 2011 Student Session. 2011:81–87. * (Bakhti 2018) Bakhti K, Niu Z, Yousif A, Nyamawe A. Citation Function Classification Based on Ontologies and Convolutional Neural Networks. 2018:105–115. * (Pride 2019) Pride D, Knoth P, Jozef Harag J. Act: An annotation platform for citation typing at scale. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). 2019:329–330. * (Yu 2020) Yu W, Yu M, Zhao T, Jiang M. Identifying referential intention with heterogeneous contexts. 2020:962–972.

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ESSLLI 2023: Call for Course and Workshop Proposals
by Kilian Evang 27 Oct '22

27 Oct '22

CALL FOR COURSE AND WORKSHOP PROPOSALS 34th European Summer School in Logic, Language and Information – ESSLLI 2023 31 July–11 August, 2023, Ljubljana, Slovenia https://2023.esslli.eu/ Important Dates =============== 13 January 2023: Course Title submission deadline (mandatory) 20 January 2023: Final submission 3 March 2023: Notification Introduction ============ Under the auspices of the Association for Logic, Language, and Information (FoLLI), the European Summer School in Logic, Language, and Information (ESSLLI) runs every year. Except for 2021, where the school was virtual, it runs in a different European country each year. It takes place over two weeks in the summer, hosts approximately 50 different courses at both introductory and advanced levels, and attracts around 400 participants from all over the world. Since 1989, ESSLLI has been providing outstanding interdisciplinary educational opportunities in the fields of Computer Science, Cognitive Science, Linguistics, Logic, Philosophy, and beyond. It comes from a community which recognizes that advances in our common areas require the contributions of multiple interrelated disciplines. The main focus of ESSLLI is the interface between linguistics, logic and computation, with special emphasis in human linguistic and cognitive ability. Courses, both introductory and advanced, cover a wide variety of topics within the combined areas of interest: Logic and Computation, Computation and Language, and Language and Logic. Workshops are also organized, providing opportunities for in-depth discussion of issues at the forefront of research, as well as a series of invited evening lectures. Topics and Format ================= Proposals for courses and workshops at ESSLLI 2023 are invited in all areas of Logic, Linguistics and Computer Sciences. Cross-disciplinary and innovative topics are particularly encouraged. Each course and workshop will consist of five 90 minute sessions, offered daily (Monday-Friday) in a single week. Proposals for two-week courses should be structured and submitted as two independent one-week courses, e.g. as an introductory course followed by an advanced one. In such cases, the ESSLLI program committee reserves the right to accept just one of the two proposals. All instructional and organizational work at ESSLLI is performed completely on a voluntary basis, so as to keep participation fees to a minimum. However, organizers and instructors have their registration fees waived, and are reimbursed for travel and accommodation expenses up to a level to be determined and communicated with the proposal notification. ESSLLI can only guarantee reimbursement for at most one course/workshop organizer, and cannot guarantee full reimbursement of travel costs for lecturers or organizers from outside of Europe. The ESSLLI organizers would appreciate any help in controlling the School's expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources. Categories ========== Each proposal should fall under one of the following categories. Foundational Courses -------------------- Such courses are designed to present the basics of a research area, to people with no prior knowledge in that area. They should be of elementary level, without prerequisites in the course's topic, though possibly assuming a level of general scientific maturity in the relevant discipline. They should enable researchers from related disciplines to develop a level of comfort with the fundamental concepts and techniques of the course's topic, thereby contributing to the interdisciplinary nature of our research community. Introductory Courses -------------------- Introductory courses are central to ESSLLI's mission. They are intended to introduce a research field to students, young researchers, and other non-specialists, and to foster a sound understanding of its basic methods and techniques. Such courses should enable researchers from related disciplines to develop some comfort and competence in the topic considered. Introductory courses in a cross-disciplinary area may presuppose general knowledge of the related disciplines. Advanced Courses ---------------- Advanced courses are targeted primarily to graduate students who wish to acquire a level of comfort and understanding in the current research of a field. Workshops --------- Workshops focus on specialized topics, usually of current interest. Workshop organizers are responsible for soliciting papers and selecting the workshop program. They are also responsible for publishing proceedings if they decide to have proceedings. Proposal Guidelines =================== Course and workshop proposals should closely follow these guidelines to ensure full consideration. Course and Workshop proposals can be submitted by no more than two lecturers/organizers and they are presented by no more than these two lecturers/organizers. All instructors and organizers must possess a PhD or equivalent degree by the submission deadline. Course proposals should mention explicitly the intended course category. Proposals for introductory courses should indicate the intended level, for example as it relates to standard textbooks and monographs in the area. Proposals for advanced courses should specify the prerequisites in detail. Proposals of Courses given at ESSLLI the previous year will have a lower priority of being accepted in the current year. Proposals must be in PDF format include all of the following: 1. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional) 2. General proposal information: Title, category 3. Contents information: a. Abstract of up to 150 words b. Motivation and description (up to two pages) c. Tentative outline d. Expected level and prerequisites e. Appropriate references (e.g. textbooks, monographs, proceedings, surveys) 4. Information on the proposer and course: a. Will your course appeal to students outside of the main discipline of the course? b. Include information on your experience in the intensive one-week interdisciplinary setting c. Include evidence that the course proposer is an excellent lecturer 5. Information from workshop organizers: a. Include information on relevant preceding meetings and events, if applicable b. Include information about potential external funding for participants Submission Information ====================== **By January 13, 2023:** You are asked to submit in EasyChair at least the name(s) of the instructor(s), the ESSLLI area+course level and a short abstract. **By January 20:** Your submission must be completed by uploading a PDF with the actual proposal as detailed above. Submission Portal ================= Please submit your proposals to https://easychair.org/conferences/?conf=esslli2023 Childcare ========= If there is enough interest, ESSLLI will provide information on private child care services available during the summer school. EACSL Sponsorship ================= The EACSL will support one Logic and Computation course or workshop addressing topics of interest to Computer Science Logic (CSL) conferences. The selected course or workshop will be designated an EACSL course/workshop in the programme. If you wish to be considered for this, please indicate so in your proposal. Organizing Committee ==================== Slavko Žitnik (University of Ljubljana) (chair) Špela Vintar (University of Ljubljana) Timotej Knez (University of Ljubljana) Mojca Brglez (University of Ljubljana) Matej Klemen (University of Ljubljana) Aleš Žagar (University of Ljubljana) Program Committee ================= Juha Kontinen (University of Helsinki) (chair) Kaja Dobrovoljc (University of Ljubljana) (local co-chair) Area Chairs Language and Computation (LaCo) ------------------------------------------- Kilian Evang (Heinrich Heine University Düsseldorf) Miryam de Lhoneux (KU Leuven) Shane Steinert-Threlkeld (University of Washington) Area Chairs Language and Logic (LaLo) ------------------------------------- Ivano Ciardelli (University of Padua) Agata Renans (Ruhr-Universität Bochum) Jacopo Romoli (Heinrich Heine University Düsseldorf) Area Chairs Logic and Computation (LoCo) ---------------------------------------- Natasha Alechina (Utrecht University) Alessandra Palmigiano (Vrije Universiteit Amsterdam) Lutz Straßburger (Inria Saclay & École Polytechnique) ESSLLI Steering Committee ========================= Darja Fiser (University of Ljubljana) (chair) Phokion Kolaitis (University of California, Santa Cruz) (vice-chair) Roman Kuznets (TU Wien) Petya Osenova (Bulgarian Academy of Sciences and Sofia University) (secretary) Jakub Szymanik (University of Amsterdam)

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CfP: HCI 2023 Session: "Semantic, artificial and computational interaction studies: Towards a behavioromics of multimodal communication"
by Andy Lücking 27 Oct '22

27 Oct '22

--- *Apologies for cross-posting* Call for papers HCI International 2023 Session: "Semantic, artificial and computational interaction studies: Towards a behavioromics of multimodal communication" Manual gestures, facial expressions, head movements, shrugs, laughter, body orientation, speech, pauses: they all contribute to constituting what is called "multimodal interaction". Aiming at natural (for humans) interfaces, the field of HCI paid attention to this social fact early on. It is also a vital topic in conversation analysis and cognitive science and begins to percolate to theoretical linguistics and (formal) semantics. Simultaneously, due to the digital turn, work on multimodal communication is expanded by data analytics, that is, statistical means to describe the form of communication. However, while conjoint in investigating a common empirical domain, there is little exchange between these fields. This session aims at bringing these branches together. Potential goals are to delineate experimental studies, computational methods, resource building, and exploration to integrate symbolic, statistical, laboratory, field, and corpus-based approaches -- a joint methodological endeavor that might be called "behavioromics." The session is open, but not restrcted, to topics such as the following: - dialogue semantics and dialogue systems - (big) gesture data - multimodal interaction data - creation and exploitation of multimodal corpora - virtual reality avatars as experimental setting - cross-modal tracking - data-based multimodal analysis - detecting multimodal ensembles or gestalts - automatic annotation of everything beyond written text - representation schemes for multimodal communication We want to emphasize that conceptual contributions are highly welcome! The conference session aims at providing a platform for bringing together semanticists, computer scientists and researchers from related fields that deal with multimodal interaction. We all work on virtually the same topic but from different angles, but there are way to few opportunities to get in touch. But exchange and seeing what others are doing is crucial to approach the above-outlined, methodological, empirical and theoretical challenges. The conference session will take place *virtually* in conjunction with HCI International 2023 (https://2023.hci.international/). Full papers will be published as part of the conference proceedings by Springer. *If you want to contribute, please send a message to Andy Lücking (luecking(a)em.uni-frankfurt.de).* Important dates: - December 04, 2022: upload abstract - Notification of review outcome: 20 December 2022 - February 14, 2023: full paper is due - 23-28 July 2023: HCI International conference (virtual) Session organizers: Cornelia Ebert (https://www.linguistik-in-frankfurt.de/personal/cornelia-ebert/) Andy Lücking (https://www.texttechnologylab.org/team/andy-luecking/; http://www.llf.cnrs.fr/en/Gens/L%C3%BCcking) Alexander Mehler (https://www.texttechnologylab.org/team/alexander-mehler/)

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Second call for paper-MMLow-ICON 2022 -reg
by Bharathi Raja Asoka Chakravarthi 27 Oct '22

27 Oct '22

Second Call for papers *WORKSHOP ON MULTIMODAL MACHINE LEARNING IN LOW-RESOURCE LANGUAGES at ICON 2022 <https://lcs2.in/ICON-2022/>* *Link: *https://sites.google.com/view/mmlow-icon2022/home?authuser=0 In recent years, the exploitation of the potential of big data has resulted in significant advancements in a variety of Computer Vision and Natural Language Processing applications. However, the majority of tasks addressed thus far have been primarily visual in nature due to the unbalanced availability of labelled samples across modalities (e.g., there are numerous large labelled datasets for images but few for audio or IMU-based classification), resulting in a large performance gap when algorithms are trained separately. With its origins in audio-visual speech recognition and, more recently, in language and vision projects such as image and video captioning, multimodal machine learning is a thriving multidisciplinary research field that addresses several of artificial intelligence's (AI) original goals by integrating and modelling multiple communicative modalities, including linguistic, acoustic, and visual messages. Due to the variability of the data and the frequently observed dependency between modalities, this study subject presents some particular problems for machine learning researchers. Because the majority of this hateful content is in regional languages, they easily slip past online surveillance algorithms that are designed to target articles written in resource-rich languages like English. As a result, low-resource regional languages in Asia, Africa, Europe, and South America face a shortage of tools, benchmark datasets, and machine learning approaches. This workshop aims to bring together members of the machine learning and multimodal data fusion fields in regional languages. We anticipate contributions that hate speech and emotional analysis in multimodality include video, audio, text, drawings, and synthetic material in regional language. This workshop's objective is to advance scientific study in the broad field of multimodal interaction, techniques, and systems, emphasising important trends and difficulties in regional languages, with a goal of developing a roadmap for future research and commercial success. We invite submissions on topics that include, but are not limited to, the following: - Multimodal Sentiment Analysis in regional languages - Hate content video detection in regional languages - Trolling and Offensive post detection in Memes - Multimodal data fusion and data representation for hate speech detection in regional language - Multimodal hate speech benchmark datasets and evaluations in regional languages - Multimodal fake news in regional languages - Data collection and annotation methodologies for safer social media in low-resourced languages - Content moderation strategies in regional languages - Cybersecurity and social media in regional languages *Important Dates:* *Paper Submission Deadline: * Oct 30, 2022 *Paper Acceptance Notification: *Nov 15, 2022 *Camera-ready Submission Deadline: * Dec 01, 2022 *Workshop*: Dec 15, 2022 with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages <https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang…>

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Job: Experienced Researcher (R2) - Analysis of social media and disinformation- deadline 15 November 2022
by Irina Temnikova 26 Oct '22

26 Oct '22

Experienced Researcher (R2) - Analysis of social media and disinformation With respect to its intensive development in 2022, the Institute GATE (in Sofia, Bulgaria) is looking for: Experienced Researcher (R2) – Analysis of social media and disinformation Application deadline: 15 November 2022 GATE is a joint initiative between Sofia University “St. Kliment Ohridski”, Chalmers University of Technology, Sweden and Chalmers Industrial Technology, Sweden. The Swedish institutions are leading organizations in strategic initiatives such as AI Sweden, AI Research Centre, AI Innovation of Sweden and the Digital Twin Cities Centre. GATE develops research capacity and potential in Big Data and Artificial Intelligence, cultivating the next generation of leading scientists by expanding the existing research network and establishing long-term agreements with leading global organizations. The Institute builds sustainable stakeholder relationships, focusing on technological collaboration between government, industry, academia and non-governmental organizations towards Artificial Intelligence and smart decision-making models. We use artificial intelligence for a better and safer life. Be part of the future and participate in applied research that develops innovations in the field of big data and artificial intelligence in collaboration with the scientific community, business and government. For our research team, we are looking for young at heart, motivated for high results and open to the unlimited possibilities of the future. Experienced Researcher Research group: Analysis of social media and disinformation Disinformation is not a new phenomenon; however, it reached an impressive level with the growing use of social media by the population. The extraction of data from social media, the various analysis and visualization methods are essential instruments in the study of dynamics of information flows and in the understanding of the mechanisms used for creating and spreading disinformation. GATE Institute is looking for experienced researchers who are interested in data extraction and analysis from social media for developing analyses tools for content in the Bulgarian language. The suitable applicants for this post should have a solid background, experience and publications in the domain of information and communication technologies, preferably with a specialization in one or more of the following domains: data retrieval, artificial intelligence, natural language processing. The practical experience in the development and testing of methods for social media analysis is an asset. Your responsibilities: - Designs, implements and supports complex data models data in the domain of social media analysis in Bulgarian and English; - Develops solutions for extracting data from different sources: text documents, relational databases, etc. - Develops models which help in the analysis of social media content; - Plans educational activities and teaches in programs in the domain of analysis of natural language and social media contents; - Participates in research on methods for analysis and content analysis in Bulgarian and other languages; - Evaluates new methods in comparison with the academic literature and the best international practice; - Develops ontologies to present the data semantics; - Contributes to the development of research projects in the domain of social media content analysis; - Keeps themselves up to date with the newest technological trends; - Contributes in publications with high research impact; - Participates in suitable activities for education and development. Requirements: - PhD Degree in computer science, computational linguistics, natural language processing, or another technological or philological area. Alternatively, a Master’s Degree in the same areas plus a minimum of 4 years of relevant experience in industry or academia; - Experience in the analysis of social media data; - Experience in the documentation and creation of datasets; - Experience in tools for collecting social media data, e.g. Crowdtangle, APIs for Twitter, YouTube; - Experience in developing models and machine learning, e.g. Python - Excellent written and oral communication and presentation skills; - Ability to prioritise tasks and work on multiple tasks and motivation for achieving high-quality results; - Understanding of the principles of Open Science; - Excellent knowledge of English language; - Preferably - knowledge of Bulgarian; - Experience in one or more of the following: - Experience and good knowledge of the concepts of natural language processing (text extraction, analysis, generation of texts in natural language) and processing of models for machine learning: Supervised and Unsupervised machine learning, Neural Networks, Support vector machines, Kernel methods; - experience in extracting data from social media. Our offer: - You will have the freedom to conduct research in any area within the scope and priorities of GATE, creating new visions for the future - You will be provided with numerous opportunities for learning, knowledge exchange and career development, locally and internationally - Your research will be supported by an advanced research infrastructure, comprising of the GATE platform and Open Innovation Labs - You will have a flexible work schedule and, a modern and appealing work environment, stirring up creativity and productivity - Competitive working conditions and a salary commensurate with your skills and experience How to apply Please send your contact data and files with personal documents on our Application Form – Gate (gate-ai.eu) <https://gate-ai.eu/en/application-form/> till 15 November 2022: - Cover/motivation letter that explains the motivating factors for considering the position (max. 1 pp), - CV with complete publication list, - Copies of diplomas for completed education and certificates of qualification, - Copies of documents certifying past work experience in the relevant field, - Brief description of important scientific achievements and scientific outlook (max. 2 pp), - Two references letters or personal recommendations, arranged by applicants and directly submitted by the letter or provided as contact data in the cover letter, - As an attachment to your application please sign and enclose the following declaration: *I agree to the processing of my personal data included in this application for the needs necessary to carry out the recruitment.* Additional information on the site www.gate-ai.eu or contact us on: milena.dobreva(a)gate-ai.eu By applying for these positions, you voluntarily provide your personal data and consent to be processed for the purpose of recruitment and selection of personnel. The processing of your personal data shall be carried out in accordance with the requirements of Regulation (EU) 2016/679 (General Data Protection Regulation), the Personal Data Protection Law and related legal acts in Bulgaria. -- *Irina Temnikova, Experienced scientific researcher* *Computational linguistics, Natural Language Processing* *Translation technologies* *Machine Translation, **Translation* *https://gate-ai.eu/en/staff/irina-temnikova-phd/ <https://gate-ai.eu/en/staff/irina-temnikova-phd/> * https://www.linkedin.com/in/irina-temnikova/ https://scholar.google.bg/citations?user=7BcpifAAAAAJ&hl=en ------------------------------- -------------------------------- -----

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CFP: Special Issue on The Role of Context in Neural Machine Translation Systems and its Evaluation
by Knowles, Rebecca 26 Oct '22

26 Oct '22

*Apologies for cross-posting* [image.png] CFP: Special issue on The Role of Context in Neural Machine Translation Systems and its Evaluation in Natural Language Engineering Guest editors: - Sheila Castilho (The ADAPT Centre, School of Applied Languages and Intercultural Studies, Dublin City University)) - Rebecca Knowles (National Research Council Canada) For this special issue, we invite the submission of papers focusing on the variety of novel implementations of context into neural machine translation systems as well as novel approaches to its evaluation. Recent claims that machine translation systems are reaching (near) human parity at the sentence level have been followed by subsequent analyses that indicate remaining gaps in translation quality at the document level. How best to evaluate machine translation at the document level (and what exactly constitutes document level evaluation) remains an open question. At the same time, there is work seeking to add discourse and context into neural machine translation systems. Papers that focus on topics of context in neural machine translation, machine translation evaluation, or both are welcome. For full details, see: https://sites.google.com/dcu.ie/nlecontextnmt/home Topics of interest include, but are not limited to: - Novel language processing techniques for implementing discourse in NMT systems - Document-level NMT and evaluation - Use of target and source context - Context-aware techniques for quality evaluation - Context-aware automatic and human evaluation metrics - The size and composition of the training data and its effect on context-aware systems - The effect of the quality of training data and test sets on context-aware systems - Translationese and its effect on document-level training - Lexical diversity and lexical density in discourse NMT - Discourse NMT for different domains Publication Timeline: - Articles deadline submission: 1 February 2023 - Return of reviews to contributors: 1 April 2023 - Revised articles deadline submission: 1 May 2023 - Return of second reviews to contributors (if applicable): 1 July 2023 - Final Submission: 15 September 2023 - Publication: November 2023 / January 2024 Format and Submission: Typical submissions will be 12-25 pages in length. Authors should follow the "Author Instructions" section on the journal website: https://www.cambridge.org/core/journals/natural-language-engineering/inform… We highly recommend using the LaTeX template found under "Preparing your materials" at the link above. All manuscripts must be submitted online via the NLE ScholarOne website: http://mc.manuscriptcentral.com/nle. Under "Special Issue Designation", choose "The Role of Context in Neural Machine Translation Systems and its Evaluation". Queries: Any queries related to this special issue should be addressed to sheila.castilho(a)dcu.ie<mailto:sheila.castilho@dcu.ie> with NLE-ContextNMT in the subject line.

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Internship: Training of an entity recognition model for nanobiology using distant supervision.
by Martin Lentschat 26 Oct '22

26 Oct '22

Context The NanoBubbles ERC Synergy project’s objective (https://nanobubbles.hypotheses.org<https://nanobubbles.hypotheses.%20org>) is to understand how, when and why science fails to correct itself. The project focuses on claims made within the field of nanobiology. Project members combine approaches from the natural sciences, computer science, and the social sciences and humanities (Science and Technology Studies) to understand how error correction in science works and what obstacles it faces. For this purpose, we aim to trace claims and corrections through various channels of scientific communication (journals, social media, advertisements, conference programs, etc.) via both qualitative and digital methods. Intership objectifs Entity recognition is an important step for downstream treatment in natural language processing. It consists in identifying the entities in a corpus belonging to a specific domain and in their labeling. Training methods relying on large annotated corpora are usually used for this purpose. However, such resource are not always available for specific domains, and alternative methods have to be employed (Hedderich 2020). Distant supervision (Mintz 2009) is a technique used to automatically label textual data using an external resource such as dictionaries (Shang 2018), gazetteers, ontologies (Wang 2021) and knowledge bases (Sun 2019). This enable the construction of a training corpus without the need of manual annotation. In specialized domains, this is especially useful in order to annotate complex and discontinuous entities with which human annotators may struggle (Khandelwal 2022). The objective of this internship is to implement a method to automatically annotate a corpus of scientific documents, using existing resources, in the nanobiology domain. After it, they will employ existing deep learning approaches (Liang 2020) to train an entity extraction model for entities in the nanobiology domain. Skills • Being enrolled in a Master in Natural Language Processing, computer science or data science. • Good programming skills in Python, including experiences with natural language processing tools and methods, knowledge of machine learning and deep learning frameworks and semantic web. • Ability to communicate and write in English is a plus. Scientific environment The work will be conducted within the Sigma team of the LIG laboratory (http://sigma.imag.fr). The recruited person will be welcomed within the team which offer a stimulating, multinational and pleasant working environment. Instructions for applying Applications must contain a CV + letter/message of motivation + master grades + letter(s) of recommendation (or names for potential letters), and be addressed to Cyril Labbé (cyril.labbe(a)imag.fr) and Amira Barhoumi (amira.barhoumi(a)univ-grenoble-alpes.fr). Applications will be considered on the fly. It is therefore advisable to apply as soon as possible. References • Mintz, M., Bills, S., Snow, R., & Jurafsky, D. (2009, August). Distant supervision for relation extraction without labeled data. In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (pp. 1003-1011). • Shang, J., Liu, L., Ren, X., Gu, X., Ren, T., & Han, J. (2018). Learning named entity tagger using domain-specific dictionary. arXiv preprint arXiv:1809.03599. • Sun, Y., & Loparo, K. (2019, July). Information extraction from free text in clinical trials with knowledge-based distant supervision. In 2019 IEEE 43rd Annual Computer Software and Applications Conference (COMPSAC) (Vol. 1, pp. 954-955). IEEE. • Wang, X., Hu, V., Song, X., Garg, S., Xiao, J., & Han, J. (2021, November). CHEMNER: Fine-Grained Chemistry Named Entity Recognition with Ontology-Guided Distant Supervision. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (pp. 5227-5240). • Liang, C., Yu, Y., Jiang, H., Er, S., Wang, R., Zhao, T., & Zhang, C. (2020, August). Bond: Bert-assisted open-domain named entity recognition with distant supervision. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1054-1064). • Hedderich, M. A., Lange, L., Adel, H., Str ?otgen, J., & Klakow, D. (2020). A survey on recent approaches for natural language processing in low-resource scenarios. arXiv preprint arXiv:2010.12309. • Khandelwal, A., Kar, A., Chikka, V. R., & Karlapalem, K. (2022, May). Biomedical NER using Novel Schema and Distant Supervision. In Proceedings of the 21st Workshop on Biomedical Language Processing (pp. 155-160)

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Intership: Identification of scientific paper mentions on Twitter
by Martin Lentschat 26 Oct '22

26 Oct '22

Context The NanoBubbles ERC Synergy project’s objective (https://nanobubbles.hypotheses.org) is to understand how, when and why science fails to correct itself. The project focuses on claims made within the field of nanobiology. Project members combine approaches from the natural sciences, computer science, and the social sciences and humanities (Science and Technology Studies) to understand how error correction in science works and what obstacles it faces. For this purpose, we aim to trace claims and corrections through various channels of scientific communication (journals, social media, advertisements, conference programs, etc.) via both qualitative and digital methods. Intership objectifs Scientific articles are now discussed in a variety of mediums. The social network Twitter is particularly favored by several professionals, such as journalists and scientists, as a way of staying updated about recent development in their field, publicly discussed their work with distant colleagues and engage outside parties in their discoveries. Citing scientific articles on Twitter is easily done using publishers sharing links. Studies focusing on the use of social network by scientists (Costas 2015, 2017), the propagation of scientific information (Mohammadi 2018, W ?uhrl 2021, Hou 2022) and how the use of Twitter may influence back research (Ortega 2017). These studies rely heavily on the hyperlinks present in Twitter posts or on tools providing data on the use of research in social networks like PlumX (Champieux 2015). However, a scientific article citation can be present in a tweet as a ’fuzzy mention’ (e.g. I have read in a paper written by AUTHOR in 20XX that ...). These fuzzy mentions are hard to detect and need to be linked back to the article they refers to in order to be taken into considerations. The intern first task will consist in collecting a corpus of tweets containing such ’fuzzy mention’ of scientific articles. Afterwards he will apply existing extraction technics and models, mainly Named Entity Recognition, in order to extract the information enabling to (1) determine that a twitter post does mention an article and (2) link this article to a bibliographic database. Skills * Being enrolled in a Master in Natural Language Processing, computer science or data science. * Good programming skills in Python, including experiences with natural language processing tools and methods, knowledge of machine learning methods and deep learning models. * Curiosity for scientometrics. * Ability to communicate and write in English is a plus. Scientific environment The work will be conducted within the Sigma team of the LIG laboratory (http://sigma.imag.fr). The recruited person will be welcomed within the team which offer a stimulating, multinational and pleasant working environment. Instructions for applying Applications must contain a CV + letter/message of motivation + master grades + letter(s) of recommendation (or names for potential letters), and be addressed to Cyril Labbé (cyril.labbe(a)imag.fr) and Martin Lentschat (martin.lentschat(a)univ-grenoble-alpes.fr). Applications will be considered on the fly. It is therefore advisable to apply as soon as possible. References * Champieux, R. (2015). PlumX. Journal of the Medical Library Association: JMLA, 103(1), 63. * Costas, R., Mongeon, P., Ferreira, M. R., van Honk, J., & Franssen, T. (2020). Large-scale identification and characterization of scholars on Twitter. Quantitative Science Studies, 1(2), 771-791. * Costas, R., van Honk, J., & Franssen, T. (2017). Scholars on Twitter: who and how many are they?. arXiv preprint arXiv:1712.05667. * Mohammadi, E., Thelwall, M., Kwasny, M., & Holmes, K. L. (2018). Academic information on Twitter: A user survey. PloS one, 13(5), e0197265. * Hou, J., Wang, Y., Zhang, Y., & Wang, D. (2022). How do scholars and non-scholars participate in dataset dissemination on Twitter. Journal of Informetrics, 16(1), 101223. * Wührl, A., & Klinger, R. (2021). Claim detection in biomedical Twitter posts. arXiv preprint arXiv:2104.11639. * Ortega, J. L. (2017). The presence of academic journals on Twitter and its relationship with dissemination (tweets) and research impact (citations). Aslib journal of information management, 69(6), 674-687.

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PhD studentships: UKRI CDT in NLP, University of Edinburgh
by Alex Lascarides 26 Oct '22

26 Oct '22

FULLY FUNDED FOUR-YEAR PHD STUDENTSHIPS - UKRI CENTRE FOR DOCTORAL TRAINING IN NATURAL LANGUAGE PROCESSING Based at the University of Edinburgh: in conjunction with the School of Informatics and School of Philosophy, Psychology and Language Sciences. Deadlines: * Non UK : 25th November 2022 * UK : 27th January 2023 Applications are now sought for the UKRI CDT in NLP’s fifth and final cohort of students, which will start in September 2023. * * * The CDT in NLP offers unique, tailored doctoral training comprising both taught courses and a doctoral dissertation over four years. Each student will take a set of courses designed to complement their existing expertise and give them an interdisciplinary perspective on NLP. The studentships are fully funded for the four years and come with a generous allowance for travel, equipment and research costs. The CDT brings together researchers in NLP, speech, linguistics, cognitive science and design informatics from across the University of Edinburgh. Students will be supervised by a world-class faculty comprising almost 60 supervisors and will benefit from cutting edge computing and experimental facilities, including a large GPU cluster and eye-tracking, speech, virtual reality and visualisation labs. The CDT involves a number of industrial partners, including Amazon, Facebook, Huawei, Microsoft, Naver, Toshiba, and the BBC. Links also exist with the Alan Turing Institute and the Bayes Centre. A wide range of research topics fall within the remit of the CDT: * Natural language processing and computational linguistics * Speech technology * Dialogue, multimodal interaction, language and vision * Information retrieval and visualization, computational social science * Computational models of human cognition and behaviour, including language and speech processing * Human-Computer interaction, design informatics, assistive and educational technology * Psycholinguistics, language acquisition, language evolution, language variation and change * Linguistic foundations of language and speech processing. The next cohort of CDT students will start in September 2023. Around 12 studentships are available, covering maintenance at the UKRI rate (currently £17,668 per year) plus tuition fees. Studentships are open to all nationalities and we are particularly keen to receive applications from women, minority groups and members of other groups that are underrepresented in technology. Applicants in possession of other funding scholarships or industry funding are also welcome to apply – please provide details of your funding source on your application. Applicants should have an undergraduate or master’s degree in computer science, linguistics, cognitive science, AI, or a related discipline; or have a breadth of relevant experience in industry/academia/public sector, etc. Further details, including the application procedure, can be found at: https://edin.ac/cdt-in-nlp Application Deadlines: Early application is encouraged but completed applications must be received at the latest by: * 25th November 2022 (non UK applicants) or 27th January 2023 (UK applicants). Enquiries: Please direct any enquiries to the CDT admissions team at: cdt-nlp-info(a)inf.ed.ac.uk. CDT in NLP Virtual Open Day: Find out more about the programme by attending the PG Virtual Open Week in November. Click here to register: https://www.ed.ac.uk/studying/postgraduate/open-days-events-visits/open-day… -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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DEADLINE EXTENSION: TLT 2023, 3rd call for papers
by Kilian Evang 26 Oct '22

26 Oct '22

The 21st International Workshop on Treebanks and Linguistic Theories – THIRD CALL FOR PAPERS Submission link: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Submission deadline (extended): Nov 15th, 2022 Invited speakers announced (scroll down) The 21st International Workshop on Treebanks and Linguistic Theories (TLT) will bring together developers and users of linguistically annotated natural language corpora and take place during the week of March 9th–12th, 2023 in Washington D.C. on the campus of Georgetown University as part of GURT 2023. VENUE The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will feature four events, which are workshops or conferences focused on computational and corpus approaches to syntax but also covering theoretical issues: Universal Dependency Workshop (UDW), Depling, Treebanks and Linguistic Theory (TLT), and CxGs+NLP. All talks from all events will take place in a single (non-parallel) plenary session, with the papers from one event being presented contiguously. The goal of co-locating these events is to promote cross-fertilization of ideas across subcommunities. Proceedings will be published separately for each event, and will be available in the ACL Anthology. In order to support rich discussions and networking with minimal overhead and cost, GURT will be primarily an in-person event; we will, however, accommodate a limited number of live/synchronous remote presentations, prioritizing those with circumstances that prevent travel. University policies regarding COVID safety will be in force during the event. Georgetown University is located in a historic neighborhood in the heart of the nation’s capital. The city is a premier tourist destination, and the region is served by Reagan National (DCA), Dulles (IAD), and Baltimore-Washington (BWI) airports. GURT INVITED SPEAKERS - Jonathan Dunn, University of Canterbury, New Zealand (CxGs+NLP) - Guy Perrier, Loria, France (Depling) - Joan Bresnan, Stanford University, USA (TLT) - Joakim Nivre, Uppsala University, Sweden (UDW) SUBMISSION INFORMATION TLT addresses all aspects of treebank design, development, and use. As ‘treebanks’ we consider any pairing of natural language data (spoken, signed, or written) with annotations of linguistic structure at various levels of analysis, including, e.g., morpho-phonology, syntax, semantics, and discourse. Annotations can take any form (including trees or general graphs), but they should be encoded in a way that enables computational processing. Reflections on the design of linguistic annotations, methodology studies, resource announcements or updates, annotation or conversion tool development, or reports on treebank usage are but some examples of the types of papers we anticipate for TLT. Papers should describe original work; they should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference, and interest to the attendees. We invite paper submissions in two distinct tracks: - long papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; - short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces. All papers accepted for presentation at the workshop will be included in the TLT 2023 proceedings volume, which will be part of the ACL Anthology. Long papers may consist of up to 8 pages of content (excluding references and appendices). Short papers may consist of up to 4 pages of content (excluding references and appendices). Accepted papers will be given an additional page to address reviewer comments. All submissions should follow the two-column format and the ACL style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for ACL: https://github.com/acl-org/acl-style-files All papers must be anonymous, i.e., not reveal author(s) on the title page or through self-references. So, e.g., “We previously showed (Smith, 2020) …”, should be avoided. Instead, use citations such as “Smith (2020) previously showed …”. Papers must be submitted digitally, in PDF, and uploaded through the on-line conference system: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Double submission policy: We will accept submissions that have been or will be submitted elsewhere, but require that the authors notify us, including information on where else they are submitting. We also require that authors withdraw work that will be published elsewhere (no double publication). Submissions that violate these requirements will be rejected without review. All papers will be refereed through a double-blind peer review process with final acceptance decisions made by the workshop organizers. Submissions may be selected for publication in a GURT venue other than TLT at the discretion of the organizers. IMPORTANT DATES Long and short paper submission deadlines: November 15th, 2022 Reviews Due: December 17th, 2022 Notification of acceptance: January 11th, 2023 Final version of papers due: February 1st, 2023 GURT2023: March 9th-12th, 2023 TLT WORKSHOP CHAIRS Daniel Dakota, Indiana University Kilian Evang, Heinrich Heine University Düsseldorf Sandra Kübler, Indiana University Lori Levin, Carnegie Mellon University Contact: ddakota(a)iu.edu Website: https://cl.indiana.edu/tlt2023 GURT Website: https://gurt.georgetown.edu/

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Call for Applications: Study NLP at UC Santa Cruz
by Emelye Neff 25 Oct '22

25 Oct '22

The UCSC Natural Language Processing (NLP) master’s degree program <http://nlp.ucsc.edu> provides both depth and breadth in core algorithms and methods for NLP. Taught intensively over 15-18 months, our program design combines theoretical learning with hands-on practice to ensure our students have the right skill set to prepare for a professional career in this fast-growing field. We are currently accepting applications for Fall 2023 admission consideration. Program Highlights: - A 15-18 month program with a Capstone project mentored by NLP faculty and industry experts. - NLP students get an in-depth, systematic education in NLP, machine learning, and data science and analytics with faculty who have both academic and industry experience. - Our Industry Advisory Board provides insight and career advice through mentoring, guest lectures, and attendance at networking and professional development events. - All our courses are exclusive to NLP students and are designed with input from our Industry Advisory Board ensuring the content is current, relevant, and grounded in real-world context. - Our program is based at state-of-the-art facilities at the UCSC Silicon Valley Campus, located in Santa Clara, California. Applying to the NLP MS Program This program is intended for students with a strong background in computer science. We are looking for multifaceted individuals with solid skills in programming, algorithms, machine learning, probability, statistics, and linguistics. Visit our Admissions page <http://nlp.ucsc.edu/admissions> to review admission requirements and tips for applying, and to connect with our support team. Applications for Fall 2023 admission consideration are now open. Apply by March 1, 2023 <https://applygrad.ucsc.edu/apply/>. If you have questions about the program or the application process, please contact the NLP Support Team <nlp(a)ucsc.edu>. All the best, The UCSC NLP Program Team Baskin Engineering University of California, Santa Cruz

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Adjunct Faculty positions at Open University of Cyprus
by Loizos Michael 25 Oct '22

25 Oct '22

Dear colleagues, The Open University of Cyprus is looking for Adjunct Faculty members for the following two courses offered as part of the M.Sc. in Cognitive Systems program of studies (https://www.ouc.ac.cy/index.php/en/studies/master/cos): COS524: "Natural Language Processing" (spring semester) COS613: "Cognitive Agents and Reasoning" (fall semester) Courses are offered in English, through a distance-learning methodology. Details about the application process are here: https://www.ouc.ac.cy/index.php/en/news-events/news/2595-sepx2022 Regards, Loizos

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SwissText 2023 - Call for paper
by Sokhn Maria 24 Oct '22

24 Oct '22

SwissText 2023, Call for papers We invite you to submit a contribution to the 8th edition of SwissText (SwissText 2023<https://www.swisstext.org/>) that will take place in Neuchâtel at HES-SO // HE Arc Campus venue details<https://www.he-arc.ch/en/he-arc-en/neuchatel-campus/> from 12 to 15 June 2023. SwissText is an annual conference that brings together text analytics experts from industry and academia. Swisstext is organised jointly by Swiss Association for Natural Language Processing (SwissNLP), the University of Applied Sciences and Arts of Western Switzerland (HES-SO // HE-Arc) and the Zurich University of Applied Sciences (ZHAW) with the support of the Swiss Innovation Agency (Innosuisse) and several industrial sponsors. The conference will feature the following tracks: Applied track, Regular Track and Junior Track. Please see the attached document for the call for paper details. Important Dates : Submission deadline: March 15, 2023 (23:59 CEST) Author notification: May 01, 2023 Conference: June 12-15, 2023 Camera-ready version due: July 15, 2023 Kind Regards, Maria Sokhn -- General Chairs: Prof. Dr. Hatem Ghorbel (HES-SO // HE-Arc), Prof. Dr. Mark Cieliebak Mark (ZHAW) Program Chair: Prof. Dr. Maria Sokhn (HES-SO // HE-Arc) Workshops Chair: Dr. Emmanuel De Salis (HES-SO // HE-Arc)

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First Call for Tutorial Proposals: EACL/ACL/EMNLP 2023
by Devamanyu Hazarika 24 Oct '22

24 Oct '22

Overview *The European Chapter of the ACL (EACL), the Association for Computational Linguistics (ACL), and the Conference on Empirical Methods in Natural Language Processing (EMNLP) invite proposals for tutorials to be held in conjunction with EACL 2023, ACL 2023, and EMNLP 2023. We seek proposals in all areas of computational linguistics, broadly conceived to include related disciplines.We invite proposals for two types of tutorials: 1. Cutting-edge: tutorials that cover advances in newly emerging areas not previously covered in any ACL/EMNLP/EACL/NAACL-HLT/AACL/COLING related tutorial (see the list of tutorials <https://shorturl.at/dkIMP> in the past 4 years). 2. Introductory: tutorials that provide introductions to related fields that are potentially relevant for the computational linguistics community (e.g., linguistics, bioinformatics, machine learning techniques). In both cases, the aim of a tutorial is primarily to help understand a scientific problem, its tractability, and its theoretical and practical implications. Presentations of particular technological solutions or systems are welcome, provided that they serve as illustrations of broader scientific considerations.Tutorials will be held at one of the following conference venues: - EACL 2023, to be held in Dubrovnik, Croatia (hybrid), on May 2-6, 2023.- ACL 2023, to be held in Toronto, Canada (hybrid), on July 9-14, 2023.- EMNLP 2023, to be held in Singapore, data TBD, 2023. *Fee Waiving *Up to 3 instructors per tutorial can have their registration fees waived for the main conference and any subset of co-located tutorials and workshops.* Diversity And Inclusion *To foster a really inclusive culture in our field, we particularly encourage submissions from members of underrepresented groups in computational linguistics, i.e., researchers from any demographic or geographic minority, researchers with disabilities, among others. The overall diversity of the tutorial organizers and potential audience will be taken into account to ensure that the conference program is varied and balanced. Tutorial proposals should describe and will be evaluated according to how the tutorial contributes to topics promoting diversity (e.g., working on minority languages, developing NLP for good), participation diversity (e.g., coordinating with social affinity groups, providing subsidies, making a promotional plan for the tutorial), and representation diversity among tutorial presenters. For more information or advice, organizers may consult resources such as the BIG directory <http://www.winlp.org/big-directory/>, Black in AI <https://blackinai.github.io/#/membership>, {Dis}ability in AI <https://elesa.github.io/ability_in_AI/>, Indigenous AI <https://www.indigenous-ai.net/>, LatinX in AI <https://lxai.app/PUBLIC-DIRECTORY>, Masakhane <https://www.masakhane.io/>, 500 Queer Scientists <https://500queerscientists.com/>, and Women-in-ML’s director <https://wimlworkshop.org/sh_projects/directory/>y. <https://2022.naacl.org/committees/diversity-inclusion/> * Submission Details *Proposals should use the ACL paper submission format. Authors can download <https://github.com/acl-org/acl-style-files> the LaTeX or Word template or use the Overleaf template <https://www.overleaf.com/read/crtcwgxzjskr>. Proposals should not exceed 4 pages of content (plus unlimited pages for references), should be submitted as PDF documents, and should contain the following: 1. A title and authors, affiliations, and contact information.2. A brief description of the tutorial content and its relevance to the computational linguistics community. 3. Type of the tutorial: introductory vs. cutting-edge. 4. Briefly describe the target audience and any expected prerequisite background the audience should be aware of. Specification of any prerequisites for the attendees. Here are some examples:- Math: e.g., “Understand derivatives and integrals as found in introductory calculus”- Linguistics: e.g., “Be able to parse and generate text with dependency grammars”- Machine Learning: e.g., “Understand ‘classical’ supervised methods such as SVM and perceptron”- Other areas: e.g., “Familiarity with word2vec”- Programming or other tools: e.g., “Knowledge of Pytorch and Unix command line tools”5. An outline of the tutorial structure content and how it will be covered in a three-hour slot. In exceptional cases six-hour tutorial slots are available. These time limits do not include coffee breaks, e.g., a three-hour tutorial in fact occupies a 3.5-hour slot, and a six-hour tutorial occupies a 7-hour slot.6. Explain how the tutorial includes other people’s work. We recommend that the tutorial covers work by the presenters as well as by other researchers. The submission should explain how this breadth is ensured. Tutorials should not be “self-invited talks”.7. Diversity considerations, e.g., use of multilingual data, indications of how the described methods scale up to various languages or domains, participation of both senior and junior instructors, demographic and geographical diversity of the instructors, plans for how to diversify audience participation, etc.8. Reading list. Work that you expect the audience to read before the tutorial can be indicated by an asterisk. Recommended papers should provide breadth of authorship and include work by other authors, and work from other disciplines is welcome if relevant. 9. For each tutorial presenter, a one-paragraph statement of their research interests and areas of expertise for the tutorial topic, as well as experience in instructing an international audience.10. An estimate of the audience size for the tutorial. If the same or a similar tutorial has been given before, include information on where any previous version of the tutorial was given and how many attendees the tutorial attracted.11. A note specifying which venue(s) (EACL/ACL/EMNLP) would be acceptable and/or preferable. Include a description of any constraints that might make the tutorial compatible with only one of these events, logistically, thematically, or otherwise.12. A description of special requirements for technical equipment.13. We intend to make tutorial presentation materials publically available (e.g., tutorial slides, captioned video recording, as well as software, data, or other resources as applicable) in the ACL Anthology. If any of your tutorial materials cannot be shared, please explain. 14. An ethics statement that discusses ethical considerations related to the topics of the tutorial. 15. OPTIONAL: We welcome proposals on special conference themes. If your tutorial proposal aligns with the special theme of a conference, then please explain. 16. OPTIONAL: We invite tutorial instructors to include pedagogical material that the audience can bring into classrooms or similar spaces of discussion, to bring attention to the tutorial topic (e.g., a hands-on exercise, discussion questions, a demo, or an assignment). If you would like to provide this, then please explain. Tutorial proposals should be submitted online using the softconf system at the following link: https://softconf.com/n/acl-tutorials2023 <https://softconf.com/n/acl-tutorials2023>. Proposals will be reviewed jointly by the Tutorial Co-Chairs of the conferences and by a group of external experts.* Evaluation Criteria *Each tutorial proposal will be evaluated according to its clarity and preparedness, novelty or timely character of the topic, instructors’ experience, likely audience interest, open access of the tutorial instructional material, and diversity and inclusion.* Tutorial Instructor Responsibilities *Accepted tutorial presenters will be notified by February 3rd, 2023. They must then provide abstracts of their tutorials for inclusion in the conference registration material by the specific conference deadlines. The description should be in two formats: (a) an ASCII version that can be included in email announcements and published on the conference website, and (b) a PDF version for inclusion in the electronic proceedings (detailed instructions will be provided). Tutorial speakers must provide tutorial materials (e.g., slides, relevant list of papers) at least one month prior to the date of the tutorial conditioned on the final venue. The final submitted tutorial materials must minimally include copies of the course slides and a bibliography for the material covered in the tutorial. After the conference, the presenters will be invited to update their slides in the ACL Anthology (if needed).* Important Dates *EACL/ACL/EMNLP 2023 shared dates for tutorial proposals: - Submission deadline for tutorial proposals: December 1st, 2022 - Notification of acceptance: February 3rd, 2023- Camera-ready for proposals: Feb 17th 2023- Tutorial slides + abstract + bibliography + any other materials: one month prior to the date of the tutorial* Tutorial Chairs * ACL - Siva Reddy, McGill University and Mila- Yun-Nung (Vivian) Chen, National Taiwan University - Margot Mieskes, University of Applied Sciences, Darmstadt EACL - Fabio Massimo Zanzotto, University of Rome "Tor Vergata"- TBA EMNLP - TBA* Contact Please send inquiries concerning EACL/ACL/EMNLP 2023 tutorials to cl23-tutorial-chairs(a)googlegroups.com

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Joint Call for Workshop Proposals: EACL / ACL / EMNLP 2023
by Devamanyu Hazarika 24 Oct '22

24 Oct '22

The Association for Computational Linguistics invites proposals for workshops to be held in conjunction with EACL 2023, ACL 2023, or EMNLP 2023. We solicit proposals in all areas of computational linguistics, broadly conceived to include related disciplines such as linguistics, speech, information retrieval, and multimodal processing. Workshops will be held at one of the following conference venues: - EACL 2023 (The 17th Conference of the European Chapter of the Association for Computational Linguistics) will be a hybrid conference, and physically held in Dubrovnik, Croatia, from 2 to 6 of May 2023. https://2023.eacl.org/ - ACL 2023 (The 61st Annual Meeting of the Association for Computational Linguistics) will take place in Toronto, Canada (and a hybrid conference) from July 9th to July 14th, 2023. https://2023.aclweb.org/ <https://2022.aclweb.org/> - EMNLP 2023 (The 2023 Conference on Empirical Methods in Natural Language Processing) TBA The workshop co-chairs will work together to assign workshops to the three conferences. They will take into account location preferences and technical constraints provided by the workshop proposers. === Important Dates === - Proposal Submission Deadline: November 15, 2022 - Notification of Acceptance: December 14, 2022 === Submission Information === Proposals should be submitted as PDF documents. Note that submissions should be ready to be turned into a Call for Papers to the workshop within one week of notification. The proposals should be at most two pages for the main proposal and at most two additional pages for information about the organizers, program committee, and references. Thus, the whole proposal should not be more than four pages long. The two pages for the main proposal must include: - A title and a brief description of the workshop topic and content. - A list of invited speakers, if applicable, with an indication of which ones have already agreed and which are indicative, and sources of funding for the speakers. - An estimate of the number of attendees. - Depending on the global situation of COVID-19, some conferences might take place only virtually. We request submissions to contain a brief discussion on measures planned to make sure a workshop is successful and productive in case of a virtual-only attendance. - A description of any shared tasks associated with the workshop, and estimate of the number of participants. - A description of special requirements and technical needs. - The preferred venue(s) (EACL / ACL / EMNLP), if any, and description of any constraints (e.g., if the workshop is compatible with only one of these events, logistically, thematically or otherwise) - If the workshop has been held before, a note specifying where previous workshops were held, how many submissions the workshop received, how many papers were accepted (also specify if they were not regular papers, e.g., shared task system description papers), and how many attendees the workshop attracted. Note that the only financial support available to workshops is a single free workshop registration for an invited speaker. The workshop organizers must bear all other costs independently. The two pages for information about organizers, program committee, and references must include: - The names, affiliations, and email addresses of the organizers, with a brief statement (2-5 sentences) of their research interests, areas of expertise, and experience in organizing workshops and related events. - A list of Program Committee members, with an indication of which members have already agreed. Organizers should do their best to estimate the number of submissions (especially for recurring workshops) in order to (a) ensure a sufficient number of reviewers so that each paper receives 3 reviews, and (b) anticipate that no one is committed to reviewing more than 3 papers. This practice is likely to ensure on-time and thoughtful reviews. - An indication whether the workshop will consider papers submitted through ACL Rolling Review (ARR); an indication whether the workshop will use OpenReview as a platform (both to take papers from ARR and for their own review); whether the workshop will only use START as a platform, and will not use ARR. In making this choice, please pay careful attention to the ARR deadlines and conference notifications. - References The proposals should be submitted no later than November 15, 2022, 11:59PM UTC-12:00 (“anywhere on Earth”). Submission is electronic at the following link: https://softconf.com/n/acl-workshops2023. The workshop proposals will be evaluated according to their originality and impact, and the quality of the organizing team and Programme Committee. === Diversity and Inclusion === The proposals should describe the ways in which the workshop will support diversity in NLP. We suggest organizers consider the following points, while developing the proposal: - Contribution to academic diversity: The proposals could explain how the subject matter of the workshop will contribute to the diversity of the field, e.g. use of multilingual data, indications of how the described methods scale up to various languages or domains, accessibility of resources, supporting underrepresented communities of NLP and so on. - Diversifying representation: Following the WiNLP ( http://www.winlp.org/winlp-2020-workshop/ [6]) initiative, we recognize the current problems of demographic imbalance in the field. Therefore, we particularly encourage submissions including members of under-represented groups in computational linguistics. The proposals should describe how their selection of invited speakers, panelists, organizers, and program committee promotes diverse representation (for example, considering underrepresented demographics based on gender, ethnicity, nationality, and so on). We also suggest including speakers and panelists, who have not appeared as a keynote speaker or panelist in recent conferences. - Diversifying participation: The proposals could describe how the call-for-papers and outreach will encourage people from marginalized groups to attend and submit to the workshop. Some examples include providing mentoring, subsidies, coordinating with affinity groups, diversifying the selection of papers and so on. === Workshop Organizer Responsibilities === The organizers of the accepted proposals will be responsible for publicizing and running the workshop, including reviewing submissions, producing the camera-ready workshop proceedings, organizing the meeting days, and playing their part to ensure that all participants are aware of ACL’s anti-harassment policy. It is crucial that organizers commit to all deadlines. In particular, failure to produce the camera-ready proceedings on time will lead to the exclusion of the workshop from the unified proceedings and author indexes. Workshop organizers cannot accept submissions for publication that will be (or have been) published elsewhere, although they are free to set their own policies on simultaneous submission and review. Since the conferences will occur at different times, the timelines for the submission and reviewing of workshop papers, and the preparation of camera-ready copies, will be different for each conference. Suggested timelines for each of the conferences are given below. The workshop organizers should not deviate from this schedule unless absolutely necessary, and with explicit agreement from the relevant Workshop Chairs. The ACL has a set of policies on workshops. You can find the ACL’s general policies on workshops, the financial policy for workshops, and the financial policy for SIG workshops at: http://aclweb.org/adminwiki/index.php?title=Conference_Handbook === Timeline for the 2023 Workshops === EACL: First Call for Workshop Papers: January 9, 2023 Second Call for Workshop Papers: January 30, 2023 Workshop Paper Due Date: February 13, 2023 Notification of Acceptance: March 13, 2023 Camera-ready papers due: March 27, 2023 Workshop Dates: May 2 and 6, 2023 ACL: First Call for Workshop Papers: January 10, 2023 Second Call for Workshop Papers: February 10, 2023 Direct paper submission deadline: April 24, 2023 Notification of acceptance: May 22, 2023 Camera-ready paper due: June 6, 2023 Pre-recorded video due: June 12, 2023 Deadline for workshop organizers to deliver proceedings to the publication chair: June 12, 2023 Workshops: July 13-14, 2023 EMNLP: Information not available yet === EACL / ACL / EMNLP Workshop Co-Chairs === EACL: Zeerak Talat, Simon Fraser University Antonio Toral, University of Groningen ACL: Eduardo Blanco, University of Arizona Yang Feng, Institute of Computing Technology, Chinese Academy of Sciences Annie Louis, Google Research EMNLP: TBA Contact: workshop-chairs-2023(a)googlegroups.com

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Invitation to join SIGHUM
by Sara Tonelli 24 Oct '22

24 Oct '22

The SIGHUM group (ACL Special Interest Group on Language Technologies for the Socio-Economic Sciences and Humanities) was constituted in 2012 as one of the ACL special interest groups. SIGHUM groups together researchers interested in computational linguistics applications in all aspects of digital humanities and provides a forum for communication between ACL researchers and other digital humanities communities and organisations. In July 2022, we (Barbara McGillivray, Sara Tonelli and Stefania Degaetano-Ortlieb) joined SIGHUM’s board. If you’re passionate about digital humanities, computational humanities and related fields and want to stay informed about opportunities to contribute to the group, activities, call for papers, job opportunities etc. within the community, please join our group here: https://groups.google.com/g/sighum <https://groups.google.com/g/sighum>. Early-career researchers and PhD students are particularly encouraged to join. After this round of subscriptions, at the end of October we will be sending our members a survey to shape the group’s strategy so make sure you sign up in the next week if you want to take part! Barbara, Sara and Stefania. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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2nd conference call for LTC 2023 (extended deadline)
by Patrick Paroubek 22 Oct '22

22 Oct '22

10th LANGUAGE AND TECHNOLOGY CONFERENCE: Human Language Technologies as a Challenge for Computer Science and Linguistics, April 21-23, 2023, Poznań, Poland (LTC 2023) 2nd CALL FOR PAPERS VENUE: April 21-23, 2023 in Poznań, Poland. IMPORTANT DATES/DEADLINES: * Deadline for submission of papers for review: November 14, 2022 (extended dealine) * Acceptance/Refusal notification: December 14, 2022 * Deadline for submission of final versions of accepted papers: January 9, 2023 * Conference: April 21-23, 2023 WEB SITE: http://ltc.amu.edu.pl/ The Faculty of Mathematics and Computer Science of the Adam Mickiewicz University in Poznań (Poland) and the Adam Mickiewicz University Foundation organize the 10th LTC on April 21-23, 2023. Following the tradition of the past events, it is supported by ELRA, FlaReNet and META-NET. Since 2005 LTC is organized every two years as the “Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics”. Started 27 years ago, the conference find its origin in the Language and Technology Awareness Days, a meeting organized in 1995 with the assistance of the European Commission (DG XIII), with among the key speakers: Antonio Zampolli (Italy), Dafydd Gibbon (Germany), Dan Tufiş (Romania) and Orest Kossak (Ukraina). The conference addresses to researchers, advanced and beginning students, as well as all other people interested in the new advances at the borderline between computer science, human language industries and linguistics. CONFERENCE TOPICS LTC 2023 welcomes the submission of original unpublished papers on various aspects of Human Language Technology of both theoretical and practical importance including: * AI-oriented studies of human language competence * communicative intelligence * computational semantics * computer modeling of language competence * corpora-based methods in language engineering * electronic language resources and tools * formalization of natural languages * HLT related policies * HLT standards and best practices * HLTs as support for e-learning * HLTs as support for foreign language teaching * HLTs as support in solving Homeland Security problems (technology applications and legal aspects) * human-machine NL interfaces * knowledge representation * language-specific computational challenges for HLTs (especially for languages other than English) * legal issues connected with HLTs (problems and challenges) * Logic Programming in Natural Language Processing * methodological issues in HLT * neural networks in language engineering * NL applications in robotics * NL understanding by computers * NL user modeling * NLP methods in cyber-criminality detection and prevention * paralinguistic phenomena in Natural Language Processing * parsing and other forms of NL processing * question answering * sentiment, opinion and emotion analysis * socio-political aspects of HLTs * speech processing * system prototype presentations * technological aspects of nonverbal linguistics * text-based information retrieval and extraction * tools and methodologies for developing multilingual systems * translation enhancement tools * validation in all areas of HLTs * visionary papers in the field of HLT * WordNet-like ontologies ---PAPER SUBMISSION The conference accepts papers in English only. Papers (5 formatted pages in the conference format) are due by November 14, 2022 (midnight, any time zone) and should not disclose the author(s) in any manner. In order to facilitate submission we have decided to reduce the formatting requirements as much as possible at the submission stage. All submissions are to be made electronically via the LTC 2023 web submission system (EasyChair). Paper templates are available at http://www.ltc.amu.edu.pl (Paper Submission section). PUBLICATION POLICY Acceptance will be based on the reviewers' assessments (blind peer review by tree experts). The accepted papers will be published in the conference proceedings (hard and electronic copy, with ISBN number). The abstracts of the accepted contributions will also be made available via the conference page (during its lifetime). Publication requires full electronic registration and payment of the conference fee (full registration) by at least one co-authors in the due time (dates will be presented at the conference site). One registration fee entitles publication of one paper. Since 2005 until now, post-conference volumes with substantially extended versions of selected conference papers were published. Since 2007 these post-conference monographs were published in the Springer Verlag series Lecture Notes in Artificial Intelligence. We intend to continue this tradition. Papers will be selected based on reviewers’ reports among the best evaluated papers of general interest with new innovative results. Preference will be given to papers providing significant content extension with respect to the paper presented at the conference. More details will be provided via the LTC23 web site. AWARDS FOR BEST STUDENT PAPERS Special awards will be granted to the best student (status at the date of paper submission). The majoritarian student contribution to the paper must be confirmed by all paper co-authors in a written form. More details will be provided at the LTC website. To find information out about the winners at previous conferences please visit www.ltc.amu.edu.pl. ACCOMPANYING EVENTS Please do not hesitate to contact us with new suggestions and ideas concerning accompanying events (workshops, exhibits, panels, etc.). Suggestions, ideas and observations may be addressed directly to the LTC Chairs (vetulani(a)amu.edu.pl and pap(a)limsi.fr (cc to ltc23(a)amu.edu.pl and marta.witkowska(a)amu.edu.pl). LANGUAGE: The conference language is English. Contacts: Zygmunt Vetulani (vetulani(a)amu.edu.pl) and Patrick Paroubek (pap(a)lisn.fr) (LTC23 Co-chairs), Marta Witkowska (LTC23 Secretary) (marta.witkowska(a)amu.edu.pl) MORE ABOUT THE CONFERENCE at the LTC23 website: http://www.ltc.amu.edu.pl *) City of Poznań: https://www.poznan.pl/mim/en/

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Multiple faculty positions at Purdue University’s School of Languages and Cultures (SLC) in the College of Liberal Arts
by Goldwasser, Dan 21 Oct '22

21 Oct '22

Purdue University’s School of Languages and Cultures (SLC) in the College of Liberal Arts (CLA) is seeking two computational linguists specializing in Second Language Acquisition (SLA) with an emphasis on Artificial Intelligence (AI) and/or Natural Language Processing (NLP) and machine learning for an academic year appointment at the Assistant Professor level (tenure track). These faculty members will hold 100% appointments in SLC and will also be affiliated with the Department of Linguistics in the School of Interdisciplinary Studies. The successful candidates will develop and/or lead a nationally recognized research program and will work together to develop a curriculum in AI and SLA. The faculty holding this position will also create and disseminate relevant knowledge through student instruction and research. They will teach courses at all levels, both in English and in one of the languages housed in SLC, and are expected to contribute to both undergraduate and graduate student mentorship. More information and link to apply: https://careers.purdue.edu/job/West-Lafayette-Professor-Assistant-IN-47906/…

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NoDaLiDa 2023: Call for Papers - 24rd Nordic Conference on Computational Linguistics
by Mark Fišel 21 Oct '22

21 Oct '22

24rd Nordic Conference on Computational Linguistics (NoDaLiDa 2023) May 22 - May 24, 2023 in Tórshavn, Faroe Islands https://www.nodalida2023.fo/ CALL FOR PAPERS The Northern European Association for Language Technology (NEALT) invites submissions to its bi-annual conference on human language and speech technologies. NoDaLiDa 2023 will be held between Monday, May 22 and Wednesday, May 24, 2023 in Norðurlandahúsið - The Nordic House in Tórshavn, Faroe Islands. SUBMISSIONS NoDaLiDa addresses all aspects of natural language processing, speech recognition and synthesis and computational linguistics, including work in closely-related neighboring disciplines (such as, for example, machine learning, linguistics or psychology) that is sufficiently formalized or applied to bear relevance to speech and language technologies. We invite paper submissions of three types: * regular papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces; and * demonstration papers on software or resource demonstrations, e.g. of systems, interfaces, infrastructures, data collections, or annotations. We particularly encourage the submission of papers on completed or on-going work, where the first author is a Master or PhD student. This should be indicated at submission time. Papers accepted for presentation at the conference will be included in the NoDaLiDa 2023 proceedings, which are published as part of the NEALT Proceedings Series by Linköping University Electronic Press and in the ACL Anthology. SCHEDULE * Monday, January 30, 2023: Submission of Papers * Monday, March 20, 2023: Notification of Acceptance * Monday, April 17, 2023: Camera-Ready Manuscripts * Monday, May 22, 2023: Pre-Conference Workshops * Tuesday and Wednesday, May 23-24, 2023: Main Conference SUBMISSION FORMATS All submissions must follow the NoDaLiDa 2023 style files, which are available for LaTeX (preferred) and MS Word and can be retrieved from the conference homepage. Submissions must be anonymous, i.e. not reveal author(s) on the title page or through self-references. Papers must be submitted digitally, in PDF, and uploaded through the on-line conference system. Paper submissions that violate either of these requirements will be returned without review. The page limits for submissions are: up to eight pages for regular papers, and up to four pages for short papers and demo papers. For all three submission types, these page limits do not include additional pages with bibliographic references. DOUBLE SUBMISSION and PRE-PUBLICATION Papers that have been or will be submitted to other venues must indicate this at submission time, and must be withdrawn from the other venues if accepted to NoDALiDa 2023. Authors of papers accepted for presentation at NoDALiDa must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. We will not accept for publication or presentation the papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. NoDaLiDA follows the ACL policy on anonymization and anonymity period for non-anonymous pre-prints. The anonymity period for NoDaLiDa 2023 is from January 1, 2023. SUBMISSION MANAGEMENT Submissions to the conference must be uploaded electronically, obeying the above requirements and no later than (end of day, anywhere on the world): Monday, January 30, 2023. NoDaLiDa 2023 uses the OpenReview conference management system for submission, reviewing, and preparation of proceedings. General Chair * Mark Fishel, University of Tartu, Estonia To inquire about the submission and reviewing process or the scientific programme of the conference, please email ‘nodalida2023-pc(a)googlegroups.xn--com-to0a. Local Chairs * Iben Nyholm Debess, University of the Faroe Islands (chair) * Bergur Djurhuus Hansen, University of the Faroe Islands (co-chair) * Peter Juel Henrichsen, Danish Language Council (co-chair) For all practical inquiries, please email ‘nodalida2023-loc(a)googlegroups.xn--com-to0a. Follow us on Twitter: https://twitter.com/NoDaLiDa

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Fully-funded NLP PhD position in pragmatic program generation at Saarland University -- Deadline Oct 30, 2022
by Sebastian Schuster 21 Oct '22

21 Oct '22

We invite applications for one PhD student position in pragmatic program generation. The goal of the PhD project is to develop and evaluate methods that can automatically turn natural language descriptions of what a program should do into executable computer code, with a special focus on dealing with ambiguities and lack of detail in the natural language descriptions. The position, to be established in the group "Computer Science and Computational Linguistics" (Prof. Vera Demberg <https://www.uni-saarland.de/lehrstuhl/demberg.html>), is part of a collaboration with the Software Engineering Group <https://www.se.cs.uni-saarland.de/> of Prof. Sven Apel and the Machine Teaching Group <https://machineteaching.mpi-sws.org/> of Dr. Adish Singla at the Max Planck Institute for Software Systems (MPI-SWS). Candidates for this position should have a master's degree in computational linguistics, computer science or a related discipline. Experience with machine learning including deep learning is expected. The research will be conducted in English. Dates: Application deadline: October 30, 2022 Start date: Spring 2023 (start date flexible) The expected duration of the PhD is 3 years, the position is paid according to 75% TV-L E13, see also https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix… <https://oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2020&matrix…>. The job does not come with any teaching obligation. You can however choose to participate in teaching activities (tutoring or co-teaching). Applicants are requested to submit their application, including a cover letter that specifies why you would like to work on this topic and what qualifies you for it, an academic CV, a list of academic publications (if applicable), your MSc thesis (or a current draft), copies of academic degree certificates and names of two potential references. Saarland University <https://www.uni-saarland.de/en/home.html> is one of the leading centres for computational linguistics and computer science in Europe, and offers a dynamic and stimulating research environment. It is famous for its interdisciplinary research in language, translation, computation and cognition. The group is affiliated with both the Department of Computer Science <https://www.uni-saarland.de/fachrichtung/informatik.html> and with the Department of Language Science and Technology <https://www.lst.uni-saarland.de/>. The Department of Language Science and Technology organizes about 100 research staff in ten research groups in the fields of computational linguistics, psycholinguistics, speech processing, and corpus linguistics. Both departments are part of the Saarland Informatics Campus <https://saarland-informatics-campus.de/en>, which brings together 800 researchers and 2000 students from 81 countries. We collaborate closely with the university's Department of Computer Science, the Max Planck Institute for Informatics <https://www.mpi-inf.mpg.de/home/>, the Max Planck Institute for Software Systems <https://www.mpi-sws.org/>, and the German Research Center for Artificial Intelligence <https://www.dfki.de/en/web/> (DFKI). Our researchers and students come from all over the world, and our primary working language is English. Saarland University is an equal opportunity employer. Applications of women are strongly encouraged; applications of disabled persons will be given preferential treatment to those of other candidates with equal qualifications. Applications should be sent via email directly to Prof. Vera Demberg (vera(a)coli.uni-saarland.de <mailto:vera@coli.uni-saarland.de>coli.uni-saarland.de <>).

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Job-Research Assistant- Natural Language Processing -University of Galway-reg
by Bharathi Raja Asoka Chakravarthi 21 Oct '22

21 Oct '22

*Research Assistant* *Natural Language Processing and Linked Data* *School of Computer Science and Data Science Institute* *Ref. No. University of Galway 272-22* Applications are invited from suitably qualified candidates for a full-time, fixed-term position as a Research Assistant with the School of Computer Science and Data Science Institute at the National University of Ireland, Galway. This position is funded by SFI Insight Research Centre for Data Analytics and Fidelity Investments and is available from 1 November 2022 to contract end date of 30 October 2023. The School of Computer Science is ambitious and growing, and we invite the new appointees to contribute to this together with us. The vision of the School of Computer Science is to build a strong and sustainable learning environment with world-recognised research that informs high-quality undergraduate and postgraduate teaching that is inclusive and relevant to the needs of our stakeholders and society in general. The School of Computer Science was initially established in 1991 as the Information Technology Discipline, and became a School in 2019, recognising its growth and significance. DSI incorporates the University of Galway node of the nationwide Insight Centre for Data Analytics. DSI hosts more than 100 staff and has established itself as a top player worldwide in the areas of Semantic Web and Linked Data. It has successfully implemented a research strategy around the goal of “Enabling Networked Knowledge”, which aims at capitalizing on knowledge as the fuel for the digital service economy, by linking information and exploiting the resulting knowledge graphs as the basis for economic productivity. The institute performs fundamental and applied research in a range of research areas to enable this, including data streams and sensor networks, knowledge discovery, natural language processing, social semantics and social network analysis, among others. Research outcomes are applied in use cases across a range of domains, including eGovernment, financial services, manufacturing, eHealth and Life Sciences. School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> *https://www.insight-centre.org/* <https://www.insight-centre.org/> *Job Description:* This research assistant position is in the area of Inclusive language detection, and will focus on the combination of existing natural language processing and linked data technologies. This work will build on the definition of inclusive language provided in the Fidelity report “Inclusion Guide: Language, Accessibility and more”. In addition, we will investigate open benchmarks. The successful candidate supports the activities of the project through provision of research and administrative assistance and will work under the direction of the Project Leaders Dr Bharathi Raja Chakravarthi and Dr. John McCrae. The School of Computer Science and Data Science Institute (DSI) at University of Galway is inviting applications for the position of research assistant for 1 year in the context of the SFI Insight Research Centre for Data Analytics. *Duties:* *Research * · Actively participate as a member of a research team and assist an individual research leader or team to conduct a particular study (or group of studies). · To provide assistance in conducting research activities, including planning, organizing, conducting, and communicating research studies within the overall scope of a research project. · To coordinate and perform a variety of independent tasks and team activities involved in the collection, analysis, documentation and some interpretation of information/results. · Conduct literature and database searches and interpret and present the findings of the literature searches as appropriate. · Assist in analysis and interpretation of results of own research. *Write up & Disseminate* · Write up results from own research activity (e.g. as project report) for review by PI, including preparing technical reports, conclusions and recommendations. · Contribute to the publication of findings. · Provide input into the research project’s dissemination, in whatever form (report, papers, chapters, book) as directed by the PI/project leader. Authorship should be decided in line with guidelines such as the Vancouver Protocol, or similar authorship guidelines as appropriate. · Present on research progress and outcomes e.g. to bodies supervising research; steering groups; other team members, as agreed with the PI/project leader. · Should write at least workshop level papers. *Management* · Work under the direction of the Principal Investigator/Project Leader. Plan and manage own day-to-day research activity within this framework & direction. · Provide guidance as required to any support staff and/or research students assisting with the research project, as agreed with the Principal Investigator/Grant holder. · To perform other related duties incidental to the work described herein. · Where appropriate provide advice and / or assistance to support staff, research students. *Qualifications/Skills required: * *Essential Requirements: * · MSc in Natural Language Processing, Computer Science or Linguistics · Experience with natural language processing, linked data or related technologies · Excellent understanding of experimental design and scientific methodologies · Strong command of oral and written English · Good programming skills and evidence of previously completed software projects *Desirable Requirements: * · Strong knowledge of language technology for equality, diversity, and inclusion · Knowledge of debiasing techniques in NLP task · Knowledge of gender inclusive languages · Programming experience with deep learning in Python · Strong publication record · Track record of contribution to open source projects. *Employment permit restrictions apply for this category of post * *Salary: *€27,380 to €31,050 per annum, per annum pro rata for shorter and/or part-time contracts (public sector pay policy rules pertaining to new entrants will apply *Start date*: Position is available from November 2022 *Continuing Professional Development/Training*: Further information on research and working at University of Galway is available on Research at University of Galway <http://www.nuigalway.ie/our-research/> Researchers at University of Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans. University of Galway provides continuing professional development supports for all researchers seeking to build their own career pathways either within or beyond academia. Researchers are encouraged to engage with our Researcher Development Centre (RDC) upon commencing employment - see https://www.universityofgalway.ie/rdc/ for further information. For information on moving to Ireland please see www.euraxess.ie Further information about the School of Computer Science and Data Science Institute is available at School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> https://www.universityofgalway.ie/dsi/ *NB*: Gárda vetting is a requirement for this post *To Apply:* Applications to include a covering letter, CV, and the contact details of three referees should be sent, via e-mail (in word or PDF only) to Dr. Bharathi Raja Chakravarthi ( bharathiraja.asokachakravarthi(a)universityofgalway.ie) and Dr. John P. McCrae, (john.mccrae(a)universityofgalway.ie) Please put reference number *University of Galway 272-22 *in subject line of e-mail application. *Closing date for receipt of applications is 5.00 pm 28th October 2022* We reserve the right to re-advertise or extend the closing date for this post. University of Galway is an equal opportunities employer. All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based recruitment with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en

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Second Call for Papers: Construction Grammars and NLP (CxGs+NLP) Workshop
by Harish Tayyar Madabushi 21 Oct '22

21 Oct '22

Apologies for cross-posting We are delighted to announce the First Construction Grammars and NLP (CxGs+NLP) Workshop as part of the Georgetown University Round Table and invite long and short papers submissions to the workshop. Please join the workshop’s Google Group for the latest updates and to post any questions you might have: https://groups.google.com/g/cxgsnlp-workshop All accepted papers will be included in the CxGs + NLP 2023 proceedings volume, which will be part of the ACL Anthology. Revised paper submission deadline: 15th November 2022 Second Call for Papers: Construction Grammars and NLP (CxGs+NLP) Workshop September 2022 | Claire Bonial & Harish Tayyar Madabushi Event Notification Type: Call for Papers Abbreviated Title: CxGs + NLP Website: https://sites.google.com/view/cxgsnlpworkshop Half-day workshop as part of Georgetown University Round Table (GURT), 9-12 March 2023 Location: Washington DC Contact: Please join the workshop’s Google Group for the latest updates and to post any questions you might have: https://groups.google.com/g/cxgsnlp-workshop Contact: Claire Bonial (U.S. Army Research Lab) Harish Tayyar Madabushi (University of Bath) Construction Grammar (CxG) approaches recognize all levels of linguistic structure as contributing meaning, which makes them a powerful tool for considering a wide variety of linguistic problems, from determining parts-of-speech to aspectual properties. How we look at these problems has an impact on a variety of related NLP and NLU applications, including parsing, question-answering and interactive information extraction, machine translation, language grounding in robotics, etc. For many applications in the traditional NLP pipeline, existing assumptions that meaning is tied to individual lexical items and composed according to rules leave some language phenomena unaccounted for. CxGs offer theoretical solutions to such phenomena and have made headway in the development of computational resources such as constructicons, but there is more to do in fruitfully bringing CxG theories to NLP applications. Similarly, recent advances in NLP, driven in large part by the introduction of pre-trained language models, have led to the development of computational methods independent of a linguistic grounding. Although there exists work in attempting to understand the cognitive and linguistic feasibility of these models, such work remains in its infancy. Given this dichotomy between the recent direction of NLP research and the closely related field of CxGs, we are excited to announce the CxGs + NLP workshop, aimed at bringing together researchers in the fields of Natural Language Processing and Construction Grammar so as to jump-start, what we believe is, an important conversation between these two complementary, yet currently disparate fields. Our aim is to bring together theoretical and computational researchers interested in CxG approaches and encourage topics examining how theoretical research can inform computational approaches and applications, whether existing or needed in the future. Thus, we invite original research papers from a range of topics, including but not limited to: - Theory and Linguistics - Formalisms for construction grammar - Natural Language Understanding (NLU) - Opinion pieces on the interplay between CxGs and NLP - Constructions and Language Models (BERTology) - Constructicons and corpora annotated for construction grammar - Construction grammar learning and adaptation - Applications In addition to the presentation of papers at the intersection of CxGs and NLP, we will have invited speakers discussing the relation between these fields from different perspectives. The workshop will also include a discussion consisting of experts from both fields discussing possible synergies between the two fields. Venue: The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will feature four events, which are workshops or conferences focused on computational and corpus approaches to syntax but also covering theoretical issues: Universal Dependency Workshop (UDW), Depling, Treebanks and Linguistic Theory (TLT), and CxGs+NLP. All talks from all events will take place in a single (non-parallel) plenary session, with the papers from one event being presented contiguously. The goal of co-locating these events to promote cross-fertilization of ideas across subcommunities. Proceedings will be published separately for each event, and will be available in the ACL Anthology. Please see the GURT website here: https://gurt.georgetown.edu/ In order to support rich discussions and networking with minimal overhead and cost, GURT will be primarily an in-person event; we will, however, accommodate a limited number of live/synchronous remote presentations, prioritizing those with circumstances that prevent travel. University policies regarding COVID safety will be in force during the event. Georgetown University is located in a historic neighborhood in the heart of the nation’s capital. The city is a premier tourist destination, and the region is served by Reagan National (DCA), Dulles (IAD), and Baltimore-Washington (BWI) airports. Important dates: - Workshop papers due: 1 November 2022 15th November 2022 (Extended) - Notification of acceptance: 9 January 2023 - Camera-ready papers due: 28 January 2023 - Workshop date: half day TBD in the period of 9-12 March 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Submissions We accept two types of submissions, long papers and short papers, following the ACL policy on submission, review, and citation: https://www.aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submissio… All papers accepted for presentation at the workshop will be included in the CxGs + NLP 2023 proceedings volume, which will be part of the ACL Anthology. Additionally, non-archival short papers will be considered for acceptance into the workshop as in-person poster presentations only; these should be submitted by email directly to the organizers for review as opposed to submission through the EasyChair conference website and will not undergo double-blind review. Long papers may consist of up to eight (8) pages of main content; short papers may consist of up to four (4) pages of main content; and final versions will be given one additional page of content so that reviewers' comments can be taken into account. Limits on main content do not apply to references or (optional) ethics statements. After the references, the submission may include appendices for supplementary content not necessary for evaluating the contributions of the paper (reviewers will not be required to review the appendices). Submissions should be sent in electronic forms, using the EasyChair conference management system: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process with final acceptance decisions made by the workshop organizers. Submissions may be selected for publication in a GURT venue other than CxGs + NLP at the discretion of the organizers. Paper Submission and Templates: Submission is electronic, using the EasyChair conference management system. Both long and short papers must follow the ACL two-column format, using the supplied official style files: https://github.com/acl-org/acl-style-files Please do not modify these style files, nor should you use templates designed for other conferences. Double submission policy: We will accept submissions that have been or will be submitted elsewhere, but require that the authors notify us, including information on where else they are submitting. We also require that authors withdraw work that will be published elsewhere (no double publication). Submissions that violate these requirements will be rejected without review. Instructions For Double-Blind Review: As reviewing will be double blind, papers must not include authors’ names and affiliations. Furthermore, self-references or links (such as github) that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above (“Smith showed” rather than “we showed”). If important citations are not available to reviewers (e.g., awaiting publication), these paper/s should be anonymised and included in the appendix. They can then be referenced from the submission without compromising anonymity. Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. More information about the workshop can be found on the CxGs+NLP website: https://sites.google.com/view/cxgsnlpworkshop

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Workshop on Multimodal Machine Learning in Low-resource Languages at ICON-2022
by Shardul Suryawanshi 19 Oct '22

19 Oct '22

Sorry for cross-posting. We are happy to announce that the call for submission at the "Workshop on Multimodal Machine Learning in Low-resource Languages" at the 19th International Conference on Natural Language Processing (ICON-2022) is open. The workshop aims to bring together members of the* machine learning and multimodal data fusion fields in regional languages*. We anticipate contributions that hate speech and emotional analysis in multimodality include video, audio, text, drawings, and synthetic material in regional language. This workshop's objective is to advance scientific study in the broad field of *multimodal interaction, techniques, and systems, emphasising important trends and difficulties in regional languages*, with the goal of developing a roadmap for future research and commercial success. We invite *submissions on topics* that include, but are not limited to, the following: - Multimodal Sentiment Analysis in regional languages - Hate content video detection in regional languages - Trolling and Offensive post detection in Memes - Multimodal data fusion and data representation for hate speech detection in regional language - Multimodal hate speech benchmark datasets and evaluations in regional languages - Multimodal fake news in regional languages - Data collection and annotation methodologies for safer social media in low-resourced languages - Content moderation strategies in regional languages - Cybersecurity and social media in regional languages *Important Dates:* - Paper Submission *Deadline: Oct 30, 2022* - Paper Acceptance *Notification: Nov 15, 2022* - *Camera-ready* Submission Deadline: *Dec 01, 2022* - *Workshop: Dec 15, 2022* Please follow the workshop link <https://sites.google.com/view/mmlow-icon2022/home?authuser=0> for more information. Thanks & Regards, Organizers @ Multimodal Machine Learning in Low-resource Languages

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2x Research Associate (post-doc) positions at The University of Sheffield, UK
by Carol Scarton 19 Oct '22

19 Oct '22

Dear all, We are hiring two Research Associates (post-doc) to work in the area of natural language processing and machine learning, and more specifically analysis of online misinformation. These posts are for approximately 3 years and the expected start is December 2022 (or shortly after). The deadline for application is 1st of November 2022. More information and link to apply: https://www.jobs.ac.uk/job/CUB141/research-associate-in-machine-learning-an… Kind regards -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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CfP: GURT 2023 - CxGs+NLP, Depling, TLT, UDW (SyntaxFest)
by Amir Zeldes 18 Oct '22

18 Oct '22

Call for Papers - Georgetown University Round Table on Linguistics (GURT 2023) � Theme: Computational and Corpus Linguistics Workshops: CxGs+NLP, Depling, TLT, UDW Location: Washington, DC Date: March 9-12, 2023 � The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. � Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will consist of four workshops focused on computational and corpus approaches to syntax: a new workshop on CxGs+NLP, and three returning SyntaxFest workshops, Depling, TLT, and UDW. Talks will take place in plenary sessions to promote crossfertilization of ideas across subcommunities. � � Proceedings will be published in the ACL Anthology. � New Workshop: * Construction Grammars and NLP (CxGs+NLP) � Returning SyntaxFest events: * Depling - International Conference on Dependency Linguistics * TLT - Treebanks and Linguistic Theories * UDW - Universal Dependencies Workshop � There will be a joint program committee to review short and long paper submissions. Authors of each submission will indicate which of the four workshops (possibly multiple) would be appropriate. Individual event CfPs and themes can be found at: � <https://gurt.georgetown.edu/calls-for-papers/> https://gurt.georgetown.edu/calls-for-papers/ � � Important Dates � November 15, 2022 – submission deadline (long and short papers) January 11, 2023 – notification of acceptance February 1, 2023 – camera-ready version March 9–12, 2023 – GURT 2023 � We look forward to your submission and to seeing you in Washington in 2023! � The GURT organizers �

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Call for participation: Workshop on Reflection on Intelligent Systems (online, free, Oct 20/21)
by Gabriella Lapesa 18 Oct '22

18 Oct '22

Dear colleagues, I would like to bring to your attention the program of the online workshop on Reflection on Intelligent Systems, organized by IRIS (Interchange forum for Reflecting on Intelligent Systems) at the University of Stuttgart. When/where: the workshop will take place on October 20/21, online, and there is no participation fee (you just have to register, see the link in the program). What: we have a very diverse program ranging different disciplines (NLP, physics, philosophy, education, literary studies, etc.). For the full program, see: https://www.iris.uni-stuttgart.de/public-engagement/event/Digital-Workshop-… <https://www.iris.uni-stuttgart.de/public-engagement/event/Digital-Workshop-…> But to give you a gist, here are the titles/abstracts of the keynote talks: Anne Lauscher (University of Hamburg) Fairness & Inclusion in Machine Learning for Text: Back to the Future? The majority of the research efforts in Natural Language Processing are mostly opting for better performance on major benchmarks and downstream tasks. However, it is vital to acknowledge that eventually, these systems will be deployed in a concrete sociotechnical environment, and, thus, their development and their decisions will directly or indirectly affect individuals and more generally, society as a whole. For instance, NLP systems are prone to encode and amplify unfair stereotypes and often simply fail to adequately represent terms referring to minority groups, which might lead to further discrimination and exclusion of marginalised individuals. In this talk, I will provide an introduction to the training mechanism of modern machine learning-based NLP systems and point to the input data as one potential source of these ethical issues with case studies in conversational AI and machine translation. Bob Williamson (University of Tübingen) AI as Mediator Much of the current discussion of AI views it as an autonomous force. In this talk I will present a complementary view of “AI as mediator”, whereby AI is viewed as an intermediary between humans and the world. This does not solve all the problems of AI. But it does give a different way of thinking about them, and one which is better aligned with the view of AI as IA — Intelligence Augmentation. In pursuing this agenda, I will also talk about technology in general, the importance of context, the distinction between tools and machines, when and where decisions get made, and notions of delegation. The talk is more “mediations on mediation” than a definitive proposal or argument. Gregor Betz (Karlsruhe Institute of Technology) Are Large Language Models "Intelligent" Agents? Large Large Models (LLMs) such as GPT-3 are causing a minor scientific revolution in NLP and AI. In the same time, these technologies have sparked broader controversies about their very nature as intelligent, possible sentient beings. In this keynote, I'll flashlight key controversies surrounding LLMs, re-visit some fundamental debates in philosophy of mind and epistemology, and try to come up with a philosophically informed outlook on LLMs as "intelligent" agents. Kanta Dihal (University of Cambridge) A History of Imagining Intelligent Systems People have been imagining intelligent systems for millennia, in ways that vary greatly across cultures. While themes such as embodiment seem to be widespread, ideas of what constitutes an intelligent system and what its place in society should be are strongly dependent on cultural, national, and other contexts. Yet as artificial intelligence begins to fulfil its potential as a technology, spreading across the globe from its origins in 1950s America, many of these perspectives are marginalised. These stories, films, and visions matter: they are entangled in broader cultural attitudes and approaches to AI, reflecting or inspiring, embedding or disputing them. This lecture will introduce a history of such visions from across the globe, how they influence public perceptions of AI, and what they can tell us now that intelligent systems are becoming a technological reality. Hope this is of interest for many of you! Best, Gabriella

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Disinformation Day online: Wednesday, Oct. 26th from 11 AM - 2 PM CT
by Matt Lease 18 Oct '22

18 Oct '22

Join us online next week for our first Disinformation Day ( https://www.disinfoday.com/): Wednesday, Oct. 26th from 11 AM - 2 PM CT. This event is free and open to the public. -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml ---------- Forwarded message --------- From: Good Systems - A UT Austin Grand Challenge < goodsystems(a)austin.utexas.edu> Date: Thu, Oct 6, 2022 at 11:01 AM Subject: Join Us: Disinformation Day on Oct. 26 <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> Registration is now open for Disinformation Day! Hosted by Good Systems’ “Designing Responsible AI Technologies to Curb Disinformation” <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> research team, this virtual event brings together researchers and thought leaders working across disciplines and sectors to discuss approaches to curbing the spread of digital disinformation. Data scientist and engineer* Dr. David Corney <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>* will deliver a keynote on “How AI can help fact checkers to fight bad information.” The keynote will be followed by two panels exploring topics including bias and fairness and addressing the gap between fact checkers’ needs and existing technologies. Attendees are encouraged to participate in interactive Q&As following each session. This event is free and open to the public. Visit the event webpage to learn more about the agenda and speakers: www.disinfoday.com <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> . *WHEN: *Wednesday, Oct. 26th from 11 AM - 2 PM CT *WHERE: *Zoom Register <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *Get Involved.* *Good Systems <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>is a research grand challenge at The University of Texas at Austin. We're a team of information and computer scientiests, robotics experts, engineers, humanists and philosophers, policy and communication scholars, architects, and designers, all dedicated to embedding ethics in AI. Our goal is to design AI technologies that benefit society. Follow us on Twitter <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>, join us at our events <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…>, learn about partnership opportunities, <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> and visit our news page <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> for updates.* Stay Connected [image: Twitter] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Website] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> [image: Email] <goodsystems(a)austin.utexas.edu> [image: YouTube] <https://utexas.us18.list-manage.com/track/click?u=7bbaaf4a3a8c1922f0c260e40…> *Copyright © 2022 Bridging Barriers - Vice President for Research - UT Austin, All rights reserved.* You are receiving this email because you opted in via our website. *Our mailing address is:* Bridging Barriers - Vice President for Research - UT Austin PO Box 7996 Austin, TX 78713-7996

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Junior Professor Position in the University of La Rochelle
by Antoine Doucet 18 Oct '22

18 Oct '22

[apologies for cross-posting] Dear all, This message is to highlight that a junior professor position in digital humanities remains open in La Rochelle, with all details here: https://euraxess.ec.europa.eu/jobs/842223 Please spread the word and don't hesitate to ask questions. Please also take notice of the now rather tight deadline! Cheers Antoine Doucet

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NLP Open Source Software Workshop (NLP-OSS) - Survey
by liling tan 18 Oct '22

18 Oct '22

Dear Corpora List community, The Workshop for NLP Open Source Software (NLP-OSS) had two editions in ACL 2018 and 2022. The primary goal of this workshop is to share insights on the engineering and community aspects of NLP OSS, which we seldom talk about in scientific publications. We are gathering information to know whether the community would like to see a new edition of the workshop for 2023. Please do help us know your thoughts on the workshop by filling up this questionnaire https://forms.gle/oSLvW2dBg1earz4v7 Regards, Liling On behalf of (future edition) NLP-OSS Organizers P/S: The results will be shared openly and most of our workshop organizations are done openly on https://github.com/nlposs/NLP-OSS

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3 Open Positions PostDoc and PhD at FIZ Karlsruhe on Knowledge Graphs, Ontologies, and Deep Learning
by harald.sack＠fiz-karlsruhe.de 18 Oct '22

18 Oct '22

3 Open Positions PostDoc and PhD at FIZ Karlsruhe [1] - Leibniz Institute for Information Infrastructure in the Information Service Engineering research group (FIZ ISE) [2] in Knowledge Graphs, Ontologies, and Deep Learning --------------------------------------------------------------------- Position 1: PostDoc on Knowledge Graphs, Deep Learning, Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… reference number 41/2022 Description of the Position: This position is part of the Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE). FIZ ISE investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. Job Description: - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses as well as co-supervision of FIZ ISE PhD students is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed PhD degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community-initiatives, for example in the context - of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in several of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Machine Learning and Deep Learning - Ontology Design and Ontological Engineering - Natural Language Processing Duration: The position is limited to two years with optional extension by two more years. The position is available from December 2022. We will consider applications until the position is filled. Deadline for application: Nov 15, 2022 Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… --------------------------------------------------------------------- Position 2 & 3: PhD or PostDoc Knowledge Graphs & Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… reference number: 43/2022 Description of the position: This position is part of the Platform MaterialDigital project (https://www.materialdigital.de/) on the sustainable digitalization of materials within the FIZ ISE research group [2]. Particular tasks within the project will be the design, implementation, alignment, and maintenance of ontologies for materials science engineering. - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses (as well as for PostDocs co-supervision of FIZ ISE PhD students) is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed master degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Knowledge of materials science is highly beneficial, but not mandatory Additionally for PostDocs: - An excellent completed PhD degree in Computer Science or a related field - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community initiatives, for example in the context of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in one (or more) of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Ontology Design and Ontological Engineering - Natural Language Processing - Machine Learning and Deep Learning Duration: The position is limited to two years with optional extension by two more years. The position is available by now. We will consider applications until the position is filled. Deadline for the application: Nov 15, 2022. Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… --------------------------------------------------------------------- [1] FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind. [2] Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE) investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. FIZ Karlsruhe is committed to promoting the careers of women and therefore looks forward to receiving applications by female candidates. FIZ Karlsruhe also positively welcomes applications from suitably qualified disabled people. Information on data protection for applicants can be found at www.fiz-karlsruhe.de/en/stellenanzeigen. For questions, please contact Prof. Dr. Harald Sack (Harald.Sack(at)fiz-karlsruhe.de).

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2nd call for abstracts: CL poster session at the 45th meeting of the German Linguistic Society (DGfS)
by Rainer Osswald 18 Oct '22

18 Oct '22

SECOND CALL FOR ABSTRACTS We would like to invite the submission of abstracts for the computational linguistics poster session of the 45th annual meeting of the German Linguistic Society (DGfS) hosted by the University of Cologne. Since the meeting brings together numerous subfields of linguistics, this is an opportunity to share your work with colleagues both in and out of the computational linguistics field. We invite submissions from all areas of computational linguistics and natural language processing, ranging from machine translation and information retrieval to speech and dialogue systems and cognitive modeling. We especially encourage students and junior researchers to participate. The poster session is organized by the Special Interest Group on Computational Linguistics of the DGfS (dgfs.de/cl). Conference homepage: https://dgfs2023.uni-koeln.de/ DATES - Abstract submission due: October 28, 2022 - Notification of acceptance: November 4, 2022 - Short abstract (for conference website/brochure) due: November 18, 2022 - Conference dates: March 8-10, 2023 SUBMISSION One page abstract (A4) in PDF format (12pt). Submissions can be in German or English. Please submit your abstract via email to: rainer.osswald(a)hhu.de -- Dr. Rainer Osswald Department of Computational Linguistics Heinrich-Heine-Universität Düsseldorf Universitätsstraße 1 40225 Düsseldorf, Germany https://user.phil.hhu.de/osswald/

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23rd International AItLA congress: abstract deadline extension
by Letizia Cirillo 18 Oct '22

18 Oct '22

Dear colleagues, we are writing to inform you that the abstract submission deadline for the 23rd AItLA conference has been extended until *November 3rd*. The conference topic will be *Multimodal communication: contexts, practices, resources*. Confirmed invited speakers include Simona Pekarek Doehler (Université de Neuchâtel) and Henk van den Heuvel (Radboud Universiteit). Please, find the call for papers and all relevant information here <http://www.aitla.it/10-primopiano/816-xxiii-congresso-internazionale-aitla-…> Feel free to share the call with your networks. Best, Letizia Cirillo (on behalf of the organizing committee)

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October 2022 Newsletter - LDC
by Penn LDC 17 Oct '22

17 Oct '22

In this newsletter: Membership Year 2023 publication preview LDC data and commercial technology development 30th Anniversary Highlight: ACE New publications: Rime-Cantonese: A Normalized Cantonese Jyutping Lexicon<https://catalog.ldc.upenn.edu/LDC2022L01> 2017 NIST Language Recognition Evaluation Training and Development Sets<https://catalog.ldc.upenn.edu/LDC2022S10> LORELEI Bengali Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2022T05> ________________________________ Membership Year 2023 publication preview The 2023 membership year is approaching and plans for next year’s publications are in progress. Among the expected releases are: * AIDA Ukrainian Broadcast and Telephone Speech Audio and Transcripts: 156 hours of Ukrainian conversational telephone speech and broadcast news with 1.2 million words of corresponding orthographic transcripts * 2019 NIST SRE: audiovisual and leaderboard challenge sets based on amateur videos and Tunisian Arabic telephone speech, respectively * DEFT English ERE: English text from assorted genres annotated for entities, relations, and events * Mixer 3 and Mixer 7 speech collections: thousands of hours of telephone speech and metadata from Mixer 3 (multiple languages) and Mixer 7 (Spanish, plus interviews and transcript readings) * CALLFRIEND Russian: 100 telephone conversations among native speakers, transcripts, and a lexicon, released in separate speech and text data sets * REMIX Telephone Collection: English telephone speech from 385 participants in previous Mixer studies * LORELEI: representative and incident language packs containing monolingual text, bi-text, translations, annotations, supplemental resources, and related tools in various languages (e.g., Indonesian, Swahili, Tagalog, Tamil, Zulu) Check your inbox in the coming weeks for more information about membership renewal.  LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. 30th Anniversary Highlight: ACE The objective of the Automatic Content Extraction (ACE) program was to develop the capability to extract meaning (entities, relations and events) from multimedia sources (Doddington, et al., 2004<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/lrec2004-ace-progra…>). LDC supported ACE by creating annotation guidelines, corpora and other linguistic resources, including training and test data for the common task research evaluations (Strassel, et al., 2003<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/acl2003-multilingua…>; Huang, et al., 2004<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/ijcnlp2004-shared-r…>). There are multiple data sets in LDC’s Catalog from the program. One that regularly makes the list of LDC’s top ten most licensed corpora is ACE 2005 Multilingual Training Corpus (LDC2006T06<https://catalog.ldc.upenn.edu/LDC2006T06>). This data set contains 1,800 files of mixed genre text in English, Arabic, and Chinese annotated for entities, relations, and events. The genres include newswire, broadcast news, broadcast conversation, weblog, discussion forums, and conversational telephone speech. Another popular data set, ACE 2004 Multilingual Training Corpus (LDC2005T09<https://catalog.ldc.upenn.edu/LDC2005T09>), consists of varied genre text in English (158,000 words), Chinese (307,000 characters, 154,000 words), and Arabic (151,000 words) annotated for entities and relations. ACE 2007 Multilingual Training Corpus (LDC2014T18<https://catalog.ldc.upenn.edu/LDC2014T18>) has the complete set of Arabic and Spanish training data for the 2007 ACE technology evaluation, specifically, Arabic and Spanish newswire data and Arabic weblogs annotated for entities and temporal expressions. Other ACE corpora in the Catalog include ACE 2005 SpatialML Annotations in English and Mandarin (LDC2008T03<https://catalog.ldc.upenn.edu/LDC2008T03>, LDC2010T09<https://catalog.ldc.upenn.edu/LDC2010T09>, and LDC2011T02<https://catalog.ldc.upenn.edu/LDC2011T02>), Datasets for Generic Relation Extraction (reACE)<https://catalog.ldc.upenn.edu/LDC2011T08>, TIDES Extraction (ACE) 2003 Multilingual Training Data<https://catalog.ldc.upenn.edu/LDC2004T09>, ACE-2 Version 1.0<https://catalog.ldc.upenn.edu/LDC2003T11>, ACE Time Normalization (TERN) 2004 English Training Data v 1.0 (TERN)<https://catalog.ldc.upenn.edu/LDC2005T07>, and more. For the full list of available ACE data, visit LDC’s Catalog<https://catalog.ldc.upenn.edu/search> and select the ACE research project in the search menu. For more information about linguistic resources for the ACE Program, including annotation guidelines, task definitions and other documentation, visit LDC's ACE webpage<https://www.ldc.upenn.edu/collaborations/past-projects/ace>. ________________________________ New publications: Rime-Cantonese: A Normalized Cantonese Jyutping Lexicon<https://catalog.ldc.upenn.edu/LDC2022L01> was developed by the Cantonese Computational Linguistics Infrastructure Working Group. It contains approximately 130,000 Cantonese character, word, and phrase entries paired with their corresponding romanized pronunciations in Jyutping<https://jyutping.org/en/>, a scheme created by The Linguistic Society of Hong Kong. Data was collected from a variety of physical and online sources. The character collection was subjected to a normalization process for differences between traditional and simplified Chinese, regional differences and other variants in Chinese characters, and differences in orthography. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * 2017 NIST Language Recognition Evaluation Training and Development Sets<https://catalog.ldc.upenn.edu/LDC2022S10> contains training and development material for the 2017 NIST Language Recognition Evaluation<https://www.nist.gov/itl/iad/mig/nist-2017-language-recognition-evaluation>. It consists of 2,100 hours of conversational telephone speech, broadcast conversation, broadcast narrow band speech, and speech from video in the following 14 languages, dialects, and varieties: Arabic (Iraqi, Levantine, Maghrebi, Egyptian), English (British, American), Polish, Russian, Portuguese (Brazilian), Spanish (Caribbean, European, Latin American Continental), and Chinese (Mandarin, Min Nan). The 2017 evaluation focused on differentiating closely related language pairs. Source data is from LDC's CALLFRIEND and Fisher telephone collections, the VAST video collection, various broadcast sources, and earlier NIST LRE test sets. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Bengali Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2022T05> was developed by LDC and is comprised of approximately 144 million words of Bengali monolingual text, 96,000 Bengali words translated from English data, and over 2 million words of found Bengali-English parallel text. Approximately 86,000 words were annotated for named entities and up to 25,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs and issues). Data was collected from news, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2022 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to “Receive Newsletter” under Account Options; or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Position as Senior Researcher in Interactive Conversational Systems at DFKI Saarbrücken, Germany
by Simon Ostermann 17 Oct '22

17 Oct '22

Position as Senior Researcher in Interactive Conversational Systems at DFKI Saarbrücken, Germany # More Information and Hiring System available here: https://jobs.dfki.de/en/vacancy/en-senior-researcher-in-interactive-convers… The MLT lab, led by Prof. Josef van Genabith, is looking for a senior researcher in Interactive Conversational Systems and Dialog Systems, to lead the Talking Robots Group (https://www.dfki.de/en/web/research/research-departments/multilinguality-an…)<Position%20as%20Senior%20Researcher%20in%20Interactive%20Conversational%20Systems%20at%20DFKI%20Saarbru?cken,%20Germany> at DFKI in Saarbrücken, Germany. The Talking Robots group currently has 5 members of staff and engages in national and international research and development projects on robot-assisted disaster response, multilingual dialogue, human-robot interaction and more. The successful applicant will: - lead and develop the Talking Robots group scientifically - coordinate basic research as well as industry-focused project acquisition - lead projects to successful completion - publish research results at top-tier NLP/HRI/ML conferences - engage in PhD research supervision as well as teaching graduate modules (max. one per term) - closely engage with the Machine Translation, Question Answering and Information Extraction and the Data and Resources groups at MLT. Profile: ideal candidates have - a PhD in Interactive Conversational/Dialog Systems, Speech and Multimodal Technologies, Machine Learning, Human Robot Interaction (HRI), Natural Language Processing (NLP), or Computer Science - a strong track record in research and publication at top-tier NLP/HRI/ML conferences (ACL, EMNLP, HRI, AAAI, ICML, ICASSP, INTERSPEECH etc.) - a strong track record in the acquisition and management of research and development projects excellent English (oral and written). German a plus, but not a requirement. We offer excellent working and research conditions with interesting research topics in an interdisciplinary team at an internationally renowned research institute. What you can expect: - The opportunity to shape and drive research in Interactive Conversational Systems and the Talking Robots group - Innovative projects and industry collaborations in language technology and AI - An innovative and professional working environment - While the initial contract is fixed term, permanent contracts are possible for successful team leads upon completion of the fixed term contract For more information about our MLT lab please also visit: https://www.dfki.de/web/forschung/forschungsbereiche/sprachtechnologie-und-… The position is 3 years fixed term initially. A permanent position is possible subsequently. The successful applicant is expected to start at DFKI during the first quarter of 2023. To apply, please upload a short motivation letter, CV, list of publications and projects, as well as contacts for two references in our hiring system. The deadline for the receipt of an application is Nov 15, 2022. For informal questions, please contact simon.ostermann(a)dfki.de<mailto:simon.ostermann@dfki.de> . The German Research Center for Artificial Intelligence (DFKI) is Germany's leading business-oriented research institution in the field of innovative software technologies based on artificial intelligence methods. In the international scientific community, DFKI ranks among the most recognized "Centers of Excellence" and currently is the biggest research center worldwide in the area of Artificial Intelligence and its application in terms of number of employees and the volume of external funds. The DFKI cooperates closely with national and international companies. DFKI encourages applications from people with disability; DFKI intends to increase the proportion of female employees in the field of science and encourages women to apply for this position. --- Dr. Simon Ostermann Lab Manager | Senior Researcher Multilinguality and Language Technology Lab DFKI, Saarbrücken Phone: +49 681 85775 5310 Web: https://simonost.github.io/home/ | http://www.dfki.de/mlt/ Campus Building D 3.1, Room 1.28 Stuhlsatzenhausweg 3 D-66123 Saarbrücken, Germany ----------------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer | Vorsitzender des Aufsichtsrats: Dr.-Ing. Gabriël Clemens | Amtsgericht Kaiserslautern, HRB 2313 -----------------------------------------------------------------------

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SCLA conference 2023 - Call for Papers
by Fried, Mirjam 17 Oct '22

17 Oct '22

Dear All, we’re very pleased to confirm that the 2023 SCLA conference will take place in June 20123 and we hereby issue the full call for papers, see below. With greetings to all and heartfelt thanks to Steven Clancy for serving as the local organizer, Mirjam & Mateusz Slavic Cognitive Linguistics Conference (SCLC-2023): first announcement and call for papers The Slavic Cognitive Linguistics Association (SCLA; https://slavic.fas.harvard.edu/scla) will hold its 18th conference on June 1 – 3, 2023 at Harvard University. The conference will be locally organized and hosted by Steven Clancy and will be held in an on-site format. Confirmed keynote speakers at SCLC-2023 Valentina Apresjan, HSE University, Moscow Neil Bermel, University of Sheffield Catherine Caldwell-Harris, Boston University Call for papers We invite abstracts for 20+10 minute presentations on any topic of relevance to Slavic Cognitive Linguistics. Abstracts should be based on work that has not yet been published. We especially encourage submissions from young researchers. Abstracts can be written in English or in any Slavic language and should not be longer than 500 words, including references. Each individual may be involved in a maximum of two abstracts (maximum one as sole author or as the first author). Abstracts will be evaluated anonymously so please refrain from any self-identification in the body of the abstract. The deadline for abstract submission is January 15, 2023. Abstracts should be submitted via google forms. Please follow this link: https://forms.gle/nU7NaJboEKxyNc6L8 We also invite proposals for 2-3 practically oriented workshops on topics of interest to the SCLA community. The ideas for such workshops should be submitted to the organizers (fried(a)ff.cuni.cz<mailto:fried@ff.cuni.cz>) by January 15, 2023. Authors will be notified of acceptance / rejection by February 10, 2023. Conference website: https://slavic.fas.harvard.edu/2023-conference Conference fees: Regular $80 Student (incl. PhD students) $50 Important dates January 15, 2023: abstract submission deadline February 10, 2023: notification of acceptance / rejection March 31, 2023 : early bird registration deadline May 15, 2023: final payment deadline for registration fees June 1-3, 2023: SCLA conference Travel & Accommodation We will provide detailed travel and accommodation information later. Organizing Committee Mirjam Fried (Charles University, Prague, Czech Republic) Mateusz-Milan Stanojević (University of Zagreb, Chroatia) Steven Clancy (Harvard University, USA) If you have any questions concerning SCLC-2023 (don’t hesitate to contact the local organizer, Steven Clancy, at sclancy(a)fas.harvard.edu<mailto:sclancy@fas.harvard.edu>

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PhD Studentships in NLP and Cognitive Science, University of Edinburgh
by Alex Lascarides 17 Oct '22

17 Oct '22

PHD STUDENTSHIPS IN COMPUTATIONAL LINGUISTICS, SPEECH TECHNOLOGY AND COGNITIVE SCIENCE Institute for Language, Cognition and Computation School of Informatics University of Edinburgh The Institute for Language, Cognition and Computation (ILCC) at the University of Edinburgh invites applications for three-year PhD studentships starting in September 2023. ILCC is dedicated to the pursuit of basic and applied research on computational approaches to language, communication and cognition. Primary research areas include: * Natural language processing and computational linguistics * Machine Translation * Speech technology * Dialogue, multimodal interaction, language and vision * Computational Cognitive Science , including language and speech, decision-making, learning and generalization * Social Media and Computational Social Science * Human-Computer interaction, design informatics, assistive and educational technology * Information retrieval and visualization Approximately 10 studentships from a variety of sources are available, covering both maintenance at the research council rate of GBP 16,062 (2022/23 rates) per year and tuition fees. Awards increase every year, typically with inflation. Studentships are available for UK, EU, and non-EU nationals. Applicants should have a strong undergraduate degree or equivalent in computer science, cognitive science, AI, or a related discipline. For a list of academic staff at ILCC with research areas, and for a list of indicative PhD topics, please consult: http://web.inf.ed.ac.uk/ilcc/people/academic-senior-research-staff http://www.ilcc.inf.ed.ac.uk/study/possible-phd-topics-in-ilcc Details regarding the PhD programme and the application procedure can be found at: http://www.ed.ac.uk/informatics/postgraduate/research-degrees/phd There are TWO DEADLINES for applications to receive full consideration: round 1: 25th November 2022 round 2: 27th January 2023 We strongly recommend that non-UK applicants submit their applications in round 1, to maximise their chances of funding. Please direct inquiries to the PhD admissions team at ilcc-admissions(a)inf.ed.ac.uk. Please note that the 3-year ILCC PhD program is distinct from the UKRI Centre for Doctoral Training in Natural Language Processing, which offers a 4-year PhD with integrated study: http://nlp-cdt.ac.uk/ -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Barriers in NLP (a survey)
by Ted Pedersen 17 Oct '22

17 Oct '22

We(*) hope to better understand what barriers exist in NLP, who is being affected, and ultimately what can be done to improve the situation. The following survey is a starting point to try and address some of these questions. It is available in Bangla, Chinese, English, and Spanish, and we are certainly open to additional languages (so please be in touch). Feel free to forward this as you think appropriate, and we hope you will take a few minutes to fill out the survey. https://github.com/thamar-solorio/barriers_in_nlp Thank you! * We are : - Diyi Yang <https://scholar.google.com/citations?user=j9jhYqQAAAAJ&hl=en> - Manuel Montes <https://ccc.inaoep.mx/~mmontesg/> - Ted Pedersen <https://www.d.umn.edu/~tpederse/> - Thamar Solorio <https://github.com/thamar-solorio/barriers_in_nlp/blob/main/tsolorio.uh.edu> You are most welcome to contact any of us should you need additional information or have suggestions. --- Dr. Ted Pedersen (he/him) http://www.d.umn.edu/~tpederse UEA-A Member : https://sites.google.com/d.umn.edu/ueaumd

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Job: PostDoc, Transfer learning for discourse parsing - IRIT, Toulouse (France)
by Chloé Braud 17 Oct '22

17 Oct '22

Postdoc position at IRIT, Toulouse (France) – ANR AnDiAMO Developing systems towards robust discourse parsing and its application https://pagesperso.irit.fr/~Chloe.Braud/andiamo/ * Contract duration: 12 months (flexible) * Starting date: December 2022 (flexible) * Location: IRIT, Université P. Sabatier (Toulouse III) * Remuneration: starting at 2,745 euros, gross salary, depending on experience * Application deadline: the position will be open until fulfilled * Send application by email to chloe.braud(a)irit.fr Application procedure: please send a CV and a short letter motivating your application by detailing the following elements: * indicate your **skills in machine learning**, e.g. the type of tasks you already worked on, the type of algorithms, the libraries used. Please specify your experience with neural architectures and pre-trained language models. * describe your **interest and/or experience in natural language processing**, i.e. the type of tasks you already tried to solve if any, or similar problems you worked on, or why you now want to work in NLP and why you think your experience in another domain could be relevant * If you are interested but don’t have a phd, rather a master / engineer diploma and your CV fits the requirements, please send me an email with the same information as above Incomplete application will not be considered. The AnDiAMO project: Natural Language Processing (NLP) is a domain at the frontier of AI, computer science and linguistics, aiming at developing systems able to automatically analyze textual documents. Within NLP, discourse parsing is a crucial but challenging task: its goal is to produce structures describing the relationships (e.g. explanation, contrast...) between spans of text in full documents, allowing for making inference on their content. Developing high-performing and robust discourse parsers could help to improve downstream applications such as automatic summarization or translation, question-answering, chat bots, e.g. [1,2,3]. However, current performance are still low, mainly due to the lack of annotated data (see e.g. [4] on monologues, [5] on dialogues, [6,7] for the multilingual setting). In order to develop robust discourse parsers within the AnDiAMO project, we want to explore multi-objective settings, where the goal is ultimately to perform a discourse analysis, but relying on another related objective such as performing well on another task (e.g. morphological, syntactic or temporal analysis), or an application (e.g. sentiment analysis or argument mining). We will also explore the issues of cross-language and cross framework learning. The position is funded by the ANR AnDiAMO project, for which an engineer has already been hired, master interns will also be recruited. Collaborations are planned with researchers in Toulouse, Grenoble, Nancy and Munich. The hired person will be part of the MELODI team at IRIT, participating in team and project meetings, and co-authoring articles. Research plan: The recruited candidate will work on one or several of the following topics, depending on its interests: - Data representation: Discourse processing requires information from various levels of linguistics analysis. For now, existing studies do not make it clear what kind of information is important and needed, and some potentially relevant sources of information are ignored. We plan to explore this issue within a multi-task learning setting, where a system has to jointly learn different tasks. We will experiment on classification tasks (discourse relation, segmentation) and on full discourse parsing. - Transferring to new languages, domains and modalities: Developing systems that perform well on domains or languages that are different from those used at training time is crucial, especially if the adaptation can be done in an unsupervised way. It is especially important for discourse, since annotation is very hard and time-consuming. We plan to experiment with cross-lingual embeddings and to explore multi-task learning, but trying to understand how to integrate additional linguistic information with only little annotated data for auxiliary tasks. We also want to investigate dialogues, for which only a few discourse parsers exist, and better understand how it differs from monologues. - Extrinsic evaluation: We will investigate a few downstream applications that could benefit from discourse information, as a way to give an extrinsic evaluation. We will explore pipeline systems, varying the way we encode the discourse information as input of our end system. We will also explore transfer learning strategies, either via multi-task learning or representation learning. We plan to start with cognitive impairment detection (e.g. schizophrenia, Alzheimer) and argument mining. More applications will be considered, depending on the interest of the recruited postdoc. It will be possible to investigate other paths of research, such as few-shot or unsupervised learning, depending on the interest of the recruited candidate.Profile * PhD degree in computer science or computational linguistics * Good knowledge in Machine Learning is required * Interest in language technology / NLP * Good programming skills: preferably with Python, knowledge of PyTorch is a plus References [1] Feng, X., Feng, X., Qin, B., and Geng, X. Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization. In Proceedings of IJCAI. 2019. [2] Bawden, R., Sennrich, R., Birch, A., and Haddow, B. Evaluating Discourse Phenomena in Neural Machine Translation. In Proceedings of NAACL. 2018 [3] Xu, J., Gan, Z., Cheng, Y., & Liu, J. Discourse-Aware Neural Extractive Text Summarization. In Proceedings of ACL. 2020 [4] Koto, F., Lau, J. H., & Baldwin, T. Top-down Discourse Parsing via Sequence Labelling. In Proceedings of EACL. 2021 [5] Liu, Z., & Chen, N. Improving Multi-Party Dialogue Discourse Parsing via Domain Integration. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse. 2021 [6] Braud, C., Coavoux, M., & Søgaard, A. Cross-lingual RST Discourse Parsing. In Proceedings of EACL. 2017[7] Liu, Z., Shi, K., & Chen, N. DMRST: A Joint Framework for Document-Level Multilingual RST Discourse Segmentation and Parsing. In Proceedings of the 2nd Workshop on Computational Approaches to Discourse. 2021

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Re: treebanks with good annotation of coordination? (any language, any syntactic schema)
by g.bouma＠rug.nl 17 Oct '22

17 Oct '22

Hi Adam, the Alpino/LassySmall corpora for Dutch may have what you need, ie it has manually verified annotation of shared conjuncts, also a bit more general (ie including adjectival modifiers for instance) than what is the rule for UD/EUD. https://www.let.rug.nl/~vannoord/Lassy/ The data can be searched here: https://paqu.let.rug.nl:8068/ ie using the Xpath search function, //node[@rel="cnj"]/node[@index] for Lassy Klein gives a good first impression of shared arguments, best, Gosse Bouma >> Le 13 oct. 2022 à 09:06, Adam Przepiórkowski via Corpora <corpora(a)list.elra.info> a écrit : >> >> Dear All, >> >> I am looking for treebanks (of any kind; dependency, constituency, LFG, HPSG, …) with good – preferably manual – unambiguous annotation of coordinate structures, for any language. >> >> A typical UD treebank does not have a good annotation of coordinations, because vanilla UD does not distinguish between dependents of single conjuncts, as in I [came and [bought a book]], and shared dependents of conjuncts, as in I [[saw and bought] a book]. Enhanced UD can in principle make this distinction, but many EUD treebanks are automatically converted from vanilla UD treebanks, so this information is also often not available or not reliable. On the other hand, many constituency treebanks (including PTB) do not have explicit information about governors of coordinations (in I bought John and Mary interesting books the governor of John and Mary is bought and not, say, books), and – perhaps surprisingly – it is often not easy to guess the governor. So I am looking for treebanks that wear both kinds of information – about shared dependents and about governors – on their sleeves. >> >> Thanks, best, >> Adam P. >> _ -- Gosse Bouma, Communication and Information Science, Groningen University, P.o. box 716, 9700 AS Groningen G.Bouma(a)rug.nl tel. +31-50-3635937

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Call for Papers: The sixth workshop on Universal Dependencies (UDW 23)
by Loïc Grobol 17 Oct '22

17 Oct '22

(with apologies for cross-posting) UDW 23, WASHINGTON DC, MARCH 9-12, 2023 Universal Dependencies (UD) is a framework for cross-linguistically consistent treebank annotation that has so far been applied to over 100 languages (https://universaldependencies.org). The framework is aiming to capture similarities as well as idiosyncrasies among typologically different languages. The Universal Dependencies Workshop is a forum for discussion of the theory and practice of UD, its use in research and development, and its future goals and challenges. The five workshops so far were held at NoDaLiDa in Gothenburg (2017), at EMNLP in Brussels (2018), at SyntaxFest in Paris and Online (2019 and 2021) and at COLING online (2020). The sixth workshop on Universal Dependencies will take place during the week of March 9th-12th, 2023 in Washington D.C. on the campus of Georgetown University as part of GURT 2023. We invite papers on all topics relevant to UD, including but not limited to: - Theoretical foundations and universal guidelines - Linguistic analysis of specific languages and/or constructions - Language typology and linguistic universals - Treebank annotation, conversion and validation - Word segmentation, morphological tagging and syntactic parsing - Downstream applications in natural language processing - Linguistic studies based on the UD data Priority will be given to papers that adopt a cross-lingual perspective. VENUE The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will feature four workshops focused on computational and corpus approaches to syntax: UDW, Depling, TLT, and CxGs+NLP. Talks will take place in plenary sessions to promote cross-fertilization of ideas across subcommunities. INVITED SPEAKER Joakim Nivre (RISE) IMPORTANT DATES - November 15, 2022: submission deadline (long and short papers) - January 11, 2023: notification of acceptance - February 1, 2023: camera-ready papers due - March 9–12, 2023: conference SUBMISSION INFORMATIONS We invite paper submissions in two distinct tracks: - Regular papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate - Short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces. All papers accepted for presentation at the workshop will be included in the UDW23 proceedings volume, which will be part of the ACL Anthology. See details at https://gurt.georgetown.edu/gurt-2023/udw-call-for-papers Depending on the number of submissions, we will also accept a small number of short, non-archival communications, mainly opinion pieces and discussion on evolution to UD. Please contact the workshop chairs directly. CONTACT: Loïc Grobol (Université Paris Nanterre) Francis Tyers (Indiana University) Website: https://universaldependencies.org/udw23/ -- Loïc Grobol (they/them) MCF / Assistant Professor MoDyCo, Université Paris Nanterre Academic webpage: https://loicgrobol.github.io

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treebanks with good annotation of coordination? (any language, any syntactic schema)
by Adam Przepiórkowski 16 Oct '22

16 Oct '22

Dear All, I am looking for treebanks (of any kind; dependency, constituency, LFG, HPSG, …) with good – preferably manual – unambiguous annotation of coordinate structures, for any language. A typical UD treebank does not have a good annotation of coordinations, because vanilla UD does not distinguish between dependents of single conjuncts, as in *I [came and [bought a book]]*, and shared dependents of conjuncts, as in *I [[saw and bought] a book]*. Enhanced UD can in principle make this distinction, but many EUD treebanks are automatically converted from vanilla UD treebanks, so this information is also often not available or not reliable. On the other hand, many constituency treebanks (including PTB) do not have explicit information about governors of coordinations (in *I bought John and Mary interesting books* the governor of *John and Mary* is *bought* and not, say, *books*), and – perhaps surprisingly – it is often not easy to guess the governor. So I am looking for treebanks that wear both kinds of information – about shared dependents and about governors – on their sleeves. Thanks, best, Adam P.

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CFP and final deadline: PAC 2023 – Spoken English varieties: interfaces and multidimensional approaches
by Anne Przewozny desriaux 16 Oct '22

16 Oct '22

Apologies for cross-posting Dear colleagues, Please find below the final CFP for the PAC 2023 international conference entitled Spoken English varieties: interfaces and multidimensional approaches. PAC 2023 – Spoken English varieties: interfaces and multidimensional approaches International conference Wednesday, April 12th to Friday, April 14th 2023 @ Université Paris Nanterre, France Guest Speakers David Britain, University of Bern, Switzerland Alexander Haselow, University of Münster, Germany Magdalena Wrembel, Adam Mickiewicz University, Poland Best regards, Anne Przewozny-Desriaux ***************************************************************************** PAC 2023 – Spoken English varieties: interfaces and multidimensional approaches International conference Wednesday, April 12th to Friday, April 14th 2023 @ Université Paris Nanterre, France Guest Speakers David Britain, University of Bern, Switzerland Alexander Haselow, University of Münster, Germany Magdalena Wrembel, Adam Mickiewicz University, Poland Organised by CREA (Centre de Recherches Anglophones), Université Paris Nanterre TransCrit (Transferts Critiques anglophones), Université Paris 8 with the support of LPL, Aix-Marseille Université CLILLAC-ARP, Université Paris Cité CLLE, Université Toulouse Jean Jaurès The PAC programme (Phonologie de l’Anglais Contemporain: usages, variétés et structure - The Phonology of Contemporary English: usage, varieties and structure) is coordinated by Anne Przewozny-Desriaux (Toulouse Jean Jaurès University), Sophie Herment (University of Aix-Marseille), Sylvain Navarro (Paris Cité University) and Cécile Viollain (Paris Nanterre University). The main aims of the programme can be summarized as follows: to give a better picture of spoken English in its unity and diversity (geographical, social and stylistic); to test existing theoretical models in phonology, phonetics and sociolinguistics from a synchronic and diachronic point of view, making room for the systematic study of variation; to favour communication between specialists in speech and in phonological theory; and to provide corpus-based data and analyses which will help improve the teaching of English as a foreign language. To learn more about us, you can visit the programme’s website: https://www.pacprogramme.net/?lang=en. The 16th edition of the PAC international conference in 2023 will focus on interfaces between phonology and phonetics as well as other levels of linguistic structure in contemporary spoken English varieties on the basis of corpus data. Multidimensional approaches to oral corpora are understood as approaches combining different levels of linguistic analysis and/or tools and methods borrowed from other disciplines (such as sociology, geography, anthropology, computer science, stylistics, psychology, neuro and cognitive sciences, media studies, cultural studies). The conference will be organized around three days of plenary and thematic sessions focusing on the issues detailed hereafter. We will welcome submissions which address, but are not limited to, these topics. Submissions need not be limited to a single thematic session either and may encompass issues from different themes. 1. Identities, attitudes & representations The following topics and questions fall within the scope of this session: • What are the current dynamics of linguistic and cultural communities and identities in the English-speaking world? Are there new linguistic and cultural identities currently emerging? • How are these communities and identities self-perceived and represented, notably in audiovisual and/or literary productions? What is their relationship to traditional standard varieties? • What interfaces or multidimensional approaches can best tackle the issues of sociolinguistic evaluation, representation, authenticity and stereotyping? 2. Standard(s), variation & change The following topics and questions fall within the scope of this session: • What are ongoing changes in contemporary spoken varieties of English (standard and non-standard)? Do they challenge existing theoretical models of speech variation? • What is the impact of regional and social factors on variation and change in the English-speaking world? • What concepts and notions can be borrowed from other disciplines to account for variation and change? • How can corpus phonology shed light on the phonology/phonetics interface? • How do authentic data contribute to empirical approaches in phonology? 3. Suprasegmentals The following topics and questions fall within the scope of this session: • What are the suprasegmental characteristics of contemporary varieties of spoken English? • What interfaces (e.g. prosody/syntax, prosody/pragmatics) or multidimensional approaches (e.g. acoustics, kinesics) can adequately account for the suprasegmental characteristics of spoken varieties of English? • What is the impact of regional and social factors on rhythmic and intonational patterns in spoken English? • How can intonational variation be described, modeled? • What tools are most relevant for the (semi-)automatic annotation of prosody? 4. Interphonology & learner corpora The following topics and questions fall within the scope of this session: • What are the characteristics of L2 varieties of English? How can the acquisition of L2 phonology best be modeled? • How can L2 pronunciation be assessed? What are the most relevant criteria to take into account? How can multidimensional approaches to oral performance help provide feedback to learners? • What is the impact of motivation and self-efficacy on L2 speech productions and perception? • What are learners’ representations of English teaching norms and stereotypes regarding the different varieties of spoken English? 5. Oral syntax The following topics and questions fall within the scope of this session: • What is the syntax of contemporary varieties of spoken English? How can it be described? What are its unique features? • Are the tools and methods used to describe the syntax of written varieties of English appropriate/relevant for the study of spoken English syntax? What adjustments and/or developments can be advocated? • To what extent can oral syntax be studied independently from other linguistic levels of structure? What interfaces (e.g. syntax/prosody, syntax/pragmatics) may be necessary to adequately account for the syntactic characteristics of spoken varieties of English? Are all theoretical frameworks equally equipped to account for the specificities of oral syntax? What syntactic phenomena challenge existing models and frameworks? In tackling these issues, comparisons with written data / varieties are not excluded as long as the main contribution is the characterization of oral syntax. Given the exploratory nature of this topic, we will also welcome presentations reporting work in progress on those issues and technical solutions for the multidimensional study of oral syntax. Dates and deadlines Conference: April 12th to April 14th 2023 Final deadline for submissions: October 31st 2022 Results of refereeing of abstracts: December 4th 2022 Anne Przewozny-Desriaux Professeur de linguistique anglaise | Phonologie et sociolinguistique Dpt Etudes du Monde Anglophone Dir. adjointe CLLE | CNRS UMR 5263 Université Toulouse-Jean Jaurès, France https://clle.univ-tlse2.fr/accueil/annuaire/anne-przewozny-desriaux#/ https://dema.univ-tlse2.fr The Corpus Phonology of English: Multifocal Analyses of Variation https://edinburghuniversitypress.com/book-the-corpus-phonology-of-english-h… La Langue des Australiens http://www.lambert-lucas.com/la-langue-des-australiens-genese PAC programme & LVTI project https://www.pacprogramme.net/

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Job: Assistant Professor, Computational Linguistics, University of Toronto Scarborough
by Ewan Dunbar 16 Oct '22

16 Oct '22

Assistant Professor - Computational Linguistics Date Posted: 10/06/2022 Closing Date: 11/17/2022, 11:59PM ET Req ID: 26528 Job Category: Faculty - Tenure Stream (continuing) Faculty/Division: University of Toronto Scarborough Department: UTSC: Department of Language Studies Campus: University of Toronto Scarborough (UTSC) Description: The Department of Language Studies at the University of Toronto Scarborough (UTSC) invites applications for a full-time tenure stream position in the area of Computational Linguistics. The appointment will be at the rank of Assistant Professor, with an expected start date of July 1, 2023, or shortly thereafter. Candidates must have earned a PhD degree in Linguistics, Computer Science, Psychology, Cognitive Science or a closely related area—with a focus on computational linguistics—by the time of appointment, or shortly thereafter, with a demonstrated record of excellence in research and teaching. We seek candidates whose research and teaching interests complement and enhance our existing departmental strengths in theoretical linguistics, psycholinguistics, and Indigenous language revitalization. The successful candidate will be expected to pursue innovative and independent research at the highest international level and to establish an outstanding, competitive, and externally funded research program. Candidates must have a strong focus on applying computational methods to questions in linguistic research, e.g., language structure, processing, production, acquisition. This focus should be clearly explained in the research statement. Research connections with natural language processing (NLP)/speech technology will be considered an asset. Applicants who do not have NLP research connections should be familiar with methods used in NLP/speech technology applications. The ideal candidate will also demonstrate an ability to teach foundational linguistics courses. Candidates must provide evidence of research excellence which can be demonstrated by a record of publications in top-ranked and field relevant journals/conference proceedings or forthcoming publications meeting high international standards, the submitted research statement, presentations at significant conferences, awards and accolades, and strong endorsements from referees of high standing. The successful candidate will also be expected to demonstrate excellence in teaching, and to contribute to curriculum development of undergraduate courses in computational linguistics. Evidence of excellence in teaching will be provided through teaching accomplishments, the teaching dossier (with required materials outlined below) submitted as part of the application, as well as strong letters of reference. The candidate will have an appointment in the tri-campus graduate department in Linguistics and will teach and supervise graduate students in that department. Candidates must also show evidence of a commitment to equity, diversity, inclusion, and to the promotion of a respectful and collegial learning and working environment, as demonstrated through the application materials. Salary will be commensurate with qualifications and experience. The Department of Language Studies is located at the University of Toronto Scarborough (UTSC), a research-intensive campus with an interdisciplinary commitment, a multicultural student body, and modern facilities. The University offers the opportunity to conduct research, teach and live in one of the most diverse cities in the world. The University also offers opportunities to work in a range of collaborative programs and centers of research. For additional information on the Department of Language Studies, please visit https://www.utsc.utoronto.ca/dls/welcome-department-language-studies; to learn more about the Graduate Department of Linguistics, please see https://www.linguistics.utoronto.ca/ All qualified candidates are invited to apply online by following the link below and clicking "Apply Now." https://jobs.utoronto.ca/job/Toronto-Assistant-Professor-Computational-Ling… Applicants must submit a cover letter, a current curriculum vitae, a research statement outlining current and future research interests, a recent writing sample, and a teaching dossier, which should include a teaching statement, sample course materials, including ideas for future teaching, and teaching evaluations. Applicants must also provide the name and contact information of three references. The University of Toronto’s recruiting tool will automatically solicit and collect letters of references from each after an application is submitted (this happens overnight). Applicants remain responsible for ensuring that references submit letters (on letterhead, dated and signed) by the closing date. Submission guidelines can be found at http://uoft.me/how-to-apply. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. If you have any questions about this position, please contact Professor Juvénal Ndayiragije at dlssearchcommittee2022(a)utoronto.ca. All application materials, including reference letters, must be received by November 17, 2022. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity Statement The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP. Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact uoft.careers(a)utoronto.ca.

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Call for papers: 7th International Conference on Dependency Linguistics (Depling 2023)
by François Lareau 16 Oct '22

16 Oct '22

DEPLING 2023, WASHINGTON DC, MARCH 9-12, 2023 Depling (https://depling.org) is a bi-annual conference dedicated to dependency-based approaches in linguistics and natural language processing. Dependencies, directed labeled graph structures representing hierarchical relations between morphemes, words or semantic units, have now become the standard representation of syntactic resources and NLP technologies. Depling has become the central event for people discussing the linguistic significance of these structures, their theoretical and formal foundations, their processing, and their use in NLP tools. VENUE This year, Depling will be part of the Georgetown University Round Table on Linguistics (GURT, https://gurt.georgetown.edu) in Washington DC on March 9-12, 2023, together with UDW, TLT, and CxGs+NLP, in the spirit of previous SyntaxFests (https://syntaxfest.github.io). Talks will take place in plenary sessions to promote cross-fertilization of ideas across subcommunities. TOPICS OF INTEREST Depling addresses the use of dependency trees and related formal representations (such as DAGs) to represent linguistic structure. Topics of interest include but are not limited to: - The use of dependency structures in theoretical linguistics - Historical and epistemological foundations of dependency grammar - The use of dependency structures in corpus development - The use of dependency structures in lexicography - The use of dependency structures in computational linguistics - The relation between dependency-based grammar and other fields of science INVITED SPEAKER Guy Perrier, LORIA/Université de Lorraine (Emeritus) SUBMISSION DETAILS We invite paper submissions in two distinct tracks: - regular papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; - short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces. Papers must be submitted in PDF via OpenReview: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Regular papers may consist of up to 8 pages (excluding references and appendices). Short papers may consist of up to 4 pages (excluding references and appendices). Accepted papers will be given an additional page to address reviewer comments. Papers should describe original work; they should emphasize completed work and should indicate clearly the state of completion of the reported results. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference. All submissions should follow the two-column format and the ACL style. https://github.com/acl-org/acl-style-files Proceedings will be published in the ACL Anthology and will include both long and short papers. For more information, read our detailed call for papers here: https://gurt.georgetown.edu/gurt-2023/depling-call-for-papers/ IMPORTANT DATES - November 15, 2022: submission deadline (long and short papers) - January 11, 2023: notification of acceptance - February 1, 2023: camera-ready papers due - March 9–12, 2023: conference DEPLING CHAIRS François Lareau, Université de Montréal Owen Rambow, Stony Brook University Contact: depling2023(a)depling.org

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Query: Guide or advice for crowd-sourcing linguistic annotations
by Robert Fuchs 14 Oct '22

14 Oct '22

Dear all I'm looking for a guide or advice for crowd-sourcing linguistic annotations via platforms such as Mechanical Turk. I'm thinking of rating tasks such as evaluating positive and negative sentiment in sentences or annotating concordances from a corpus for a certain property (e.g. deontic v epistemic meaning in modal verbs). Specifically, I'm wondering - How can I ensure that the annotations are of sufficient quality? I don't have a gold standard for all the data, after all this is why I need the annotations. If I get all the data annotated by two or three independent annotators, I can ensure adequate quality. But then I might still get annotators who more or less submit random annotations (or start doing so after a while), or at least it would take me very long to find out who is doing so. - How do I find out what remuneration is adequate? - What is a good way to split up the data for annotation? Single annotation units or, say, 50 or 100 at a time? How do I deliver them effectively to the annotators? Many thanks and best wishes Robert -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs | https://sites.google.com/view/rflinguistics/ Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/

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ACL 2023: Call for Papers
by Devamanyu Hazarika 14 Oct '22

14 Oct '22

(apologies for cross posting) ============================ ACL 2023 Website: https://2023.aclweb.org/ Submission Deadline: - ARR: 15 December 2022 - START Direct: 13 January 2023 (Abstract), 20 January 2023 (Paper) Conference Dates: July 9-14 2023 Location: Toronto, Canada Theme: Reality Check Contact: - Yang Liu (General Chair) - Jordan Lee Boyd-Graber, Naoaki Okazaki, Anna Rogers (Program Chairs): acl2023-pc(a)googlegroups.com ============================ Call for Main Conference Papers ACL 2023 invites the submission of long and short papers featuring substantial, original, and unpublished research in all aspects of Computational Linguistics and Natural Language Processing. As in recent years, some of the presentations at the conference will be of papers accepted by the Transactions of the ACL (TACL) and by the Computational Linguistics (CL) journals. === Important Dates === - Submission template available: November 1, 2022 - Anonymity period for ARR papers: November 15, 2022 - Submission deadline for papers submitted to ARR: December 15, 2022 - Anonymity period for papers submitted through START: December 20, 2022 - Abstract deadline for START direct submissions: January 13, 2023 - Direct paper submission deadline: January 20, 2023 - Commitment deadline for ARR papers: March 17, 2023 - Author response period: March 17-24, 2023 - Notification of acceptance: May 1, 2023 - Withdrawal deadline: May 8, 2023 - Camera-ready papers due: May 22, 2023 - Tutorials: July 9, 2023 - Conference: July 10-12, 2023 - Workshops: July 13-14, 2023 All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). === Submission Topics === ACL 2023 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Generation - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Multilingualism and Language Contact: Code-switching, Representation Learning, Cross-lingual transfer - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation - NLP Applications - Phonology, Morphology, and Word Segmentation - Question Answering - Resources and Evaluation - Semantics: Lexical - Semantics: Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing === Theme Track: Reality Check === Following the success of the ACL 2020-2022 Theme tracks, we are happy to announce that ACL 2023 will have a new theme with the goal of reflecting and stimulating discussion about the current state of development of the field of NLP. While the current systems perform much better and fail more gracefully than their rule-based predecessors, there are growing piles of evidence of other kinds of brittleness, including out-of-domain generalization, adversarial attacks, spurious patterns (both linguistic and social), lack of sensitivity to basic linguistic perturbations such as negation, over-sensitivity to perturbations that should not matter (e.g. order and wording of prompts), etc. The theme track invites empirical and theoretical research, as well position and survey papers reflecting on the ways in which reported performance improvements on NLP benchmarks are meaningful. The possible topics of discussion include (but are not limited to) the following: - How reliably do the leaderboard scores translate to improvements in real-world use of the models? - How reliably do the leaderboard scores compare competing models? - While the current NLP systems are not brittle in the same way as their predecessors, they are still brittle in other ways. What tasks can we claim to have “solved”, if any? - Have performance improvements been accompanied by commensurate growth in the scientific understanding (of language, cognition, or deep learning technology)? In what ways? - Given that the authors of engineering papers are incentivized to report only the most successful results, especially for the systems that are also commercial products, what can the NLP venues do to improve reporting? The theme track submissions can be either long or short. We anticipate having a special session for this theme at the conference and a Thematic Paper Award in addition to other categories of awards. Visit https://2023.aclweb.org/calls/main_conference/ for more details!

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Second CFPs 14th International Conference on Corpus Linguistics
by Paula Rodríguez-Puente 13 Oct '22

13 Oct '22

Dear colleagues, Please find below information on the second CFPs for the 14th International Conference on Corpus Linguistics, to be held in Oviedo (Spain) on 10-12 May, 2023. Submission of proposals will be opened via EasyAbs from 15 October to 31 December 2023. For further information, please visit the conference website at: *https://cilc2023.wordpress.com/ <https://cilc2023.wordpress.com/>* With best regards, Paula Rodríguez-Puente (on behalf of the Organising Committee) *Aims and scope* The Spanish Association for Corpus Linguistics (AELINCO) and the Organising Committee of this conference edition are pleased to invite you to the *14th International Conference on Corpus Linguistics *(CILC2023), which will take place from 10 to 12 May 2023 at the Faculty of Humanities of the University of Oviedo. The theme of the conference is *Corpus Linguistics in the Digital Era: Genres, Registers and Domains.* *Keynote speakers* The following plenary speakers have confirmed their participation: · *Beatrix Busse* <https://portal.uni-koeln.de/es/university/organization/rectorate/vice-recto…> (University of Cologne, Germany) · *Teresa Fanego* <https://www.usc-teresafanego.es/> (University of Santiago de Compostela, Spain) · *Gaëtanelle Gilquin* <https://perso.uclouvain.be/gaetanelle.gilquin/> (Catholic University of Louvain, Belgium) · *Jukka Tyrkkö* <https://lnu.se/en/staff/jukka.tyrkko/> (Linnaeus University, Sweden) · *Roberto Valdeón* <https://fifa.uniovi.es/personal/pdi/-/asset_publisher/0018/content/valdeon-…> (University of Oviedo, Spain) *Submission of proposals* Prospect speakers are welcome to submit abstract proposals contributing to any one of the nine AELINCO thematic panels: · Corpus design, compilation and types · Discourse, literary analysis and corpora · Corpus-based grammatical studies · Corpus-based lexicology and lexicography · Corpora, contrastive studies and translation · Linguistic variation and change through corpora · Corpus-based computational linguistics · Corpora, language acquisition and teaching · Special uses of corpus linguistics *Format* The Organising Committee of CILC2023 invites the submission of abstract proposals for oral presentations (20 minutes) or poster presentations (A1), in line with the central themes of the conference or related to one of the nine areas of interest (panels) of AELINCO. Proposals should be submitted in *Word or PDF* format through EasyAbs. To submit your abstract, follow the instructions provided at: *https://old.linguistlist.org/confservices/14CILC.OVIEDO* <https://old.linguistlist.org/confservices/14CILC.OVIEDO> Each participant may submit a *maximum of two proposals*. Each proposal can only be included in one single panel. Paper presentations should last for 20 minutes plus 10 minutes for questions. Abstracts must be *anonymous* (with no personal data on names and/or affiliation) and they should be between *450 and 550* *words* (excluding bibliography) in *English* or in *Spanish*. Please, follow the specific *guidelines* for submission and the *stylesheet* that may be found at: *http://www.aelinco.es/en/cilc-instructions-style-sheet* <http://www.aelinco.es/en/cilc-instructions-style-sheet> *Dates* Proposals can be submitted from *15 October 2022 to 31 December 2022*. Notification of acceptance will be on *15 February 2023*. *Registration* It is a *sine qua non* requirement for participants to be a member of AELINCO. Should you wish to become a member of AELINCO, you can get a full description of the procedure on the AELINCO website: *www.aelinco.es* <http://www.aelinco.es/> Registration will open shortly after the end of the peer review process. Further information about dates, fees and discounts will be posted soon. *Contact and further information* The Organising Committee remains available for any questions, suggestions or requests you may have at *cilc.oviedo(a)gmail.com* <http://cilc.oviedo@gmail.com> More detailed information about the conference can be found on the conference website at: *https://cilc2023.wordpress.com/* <https://cilc2023.wordpress.com/> -- Paula Rodríguez Puente paula.r.puente(a)gmail.com http://www.usc-vlcg.es/PRP.htm

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LGSWE
by Stephen Coffey 13 Oct '22

13 Oct '22

Dear all, I have a question regarding the very well known *Longman Grammar of Spoken and Written English*. I recently noticed that it's now being published by John Benjamins, under the title *Grammar of Spoken and Written English.* https://benjamins.com/catalog/z.232 The blurb on the JB website begins "The completely redesigned *Grammar of Spoken and Written English *is a comprehensive corpus-based reference grammar." I've checked and seen that the page numbering is very slightly different from the original. But does anyone know if this "completely redesigned" JB version has led to any changes in content, or is the text identical to the 1999 edition? Thanks, Steve Coffey

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Call for Participation: CRAC 2022 at COLING, Oct 16 and 17
by Maciej Ogrodniczuk 13 Oct '22

13 Oct '22

CRAC 2022, the 5th Workshop on Computational Models of Reference, Anaphora and Coreference, invites you to drop in! When: on October 16 and 17, 2022 Where: at COLING 2022 How: on-site (in Gyeongju, Republic of Korea) or online What are the highlights of 2022? Two shared tasks: 1. a CODI-CRAC 2022 joint shared task on Anaphora Resolution in Dialogue (https://bit.ly/codi-crac-2022-sharedtask) co-organized with the CODI workshop 2. a new CRAC 2022 shared task on multilingual coreference resolution (https://ufal.mff.cuni.cz/corefud/crac22) Three invited talks: 1. Sharid Loáiciga: Bringing together Anaphora Resolution and Linguistic Theory 2. Massimo Poesio, Lori Levin: Annotating anaphoric reference in dialogue: the CODI/CRAC 2002 Shared Task corpus 3. Juntao Yu, Michal Novák: The recent developments in Universal Anaphora Scorer And a panel discussion on Universal Anaphora moderated by Sameer Pradhan. More information: https://sites.google.com/view/crac2022/ See you at CRAC 2022! Maciej Ogrodniczuk (on behalf of all organizers)

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Call for Participation: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022
by Davy Weissenbacher 12 Oct '22

12 Oct '22

Call for Participation: #SMM4H'22, 7th Social Media Mining for Health Applications - Shared Task & Workshop at COLING 2022 Hybrid: Online / Gyeongju, Republic of Korea Workshop Date: October 17, 2022 Workshop and Shared task: https://healthlanguageprocessing.org/smm4h-2022/ ***Apologies if you received multiple copies of this announcement*** The Social Media Mining for Health Applications (#SMM4H) workshop serves as a venue for bringing together researchers interested in automatic methods for the collection, extraction, representation, analysis, and validation of social media data (e.g., Twitter, Reddit, Facebook) for health informatics. The 7th #SMM4H Workshop, co-located at COLING 2022 ( https://coling2022.org/index) will present a Keynote speaker, 15 invited oral presentations, and a poster session demonstrating the competing systems of the SMM4H'22 shared tasks. The detailed program and description of the shared tasks can be found online at https://healthlanguageprocessing.org/smm4h-2022/ <https://healthlanguageprocessing.org> Keynote speaker: Raul Rodriguez-Esteban, Senior Principal Scientist at Roche Pharmaceuticals, Switzerland Abstract: Social media listening for pharmaceutical R&D Traditionally, social media listening (SML) in the pharmaceutical setting has been limited to marketing and communication purposes and performed with manual, qualitative methods. Pharmaceutical companies, with the encouragement of regulatory agencies, have started utilizing social media listening to integrate the patient perspective in the clinical development process to ensure relevant treatments and outcomes. Additionally, there is a growing acknowledgment that quantitative methods for SML (QSML) can provide new and more rigorous analyses that enhance the value of social media data to enable a patient-centric approach to understanding disease burden and influence drug discovery decisions at all stages. During this talk, I will present some examples of QSML supporting pharmaceutical R&D. All questions should be emailed to Davy Weissenbacher ( davy.weissenbacher(a)cshs.org)

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Emotion annotation job: October->December (English), November->2023 (other languages)
by Roberto Navigli 12 Oct '22

12 Oct '22

*Emotion annotation job* Babelscape <https://babelscape.com> is looking for linguists or people with some annotation experience who are native speakers of one of the following languages: English, Spanish, French, German. The annotation task (ideally full time, but part time can also be considered) will consist in the analysis of language and emotions in words and phrases and will be carried out on a remote basis between October and December. Immediate availability required for English native speakers; annotation in the other languages will follow right after. If you are interested and available now, please do not hesitate to send your CV to linguists(a)babelscape.com Kind regards, -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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EACL 2023: Call for System Demonstrations
by Joel Tetreault 11 Oct '22

11 Oct '22

(apologies for cross-posting) ================ EACL 2023 -- Call for System Demonstrations ================== - Website: https://2023.eacl.org/calls/demos/ - Deadline: December 2nd, 2022 - Questions? Email eacl2023demos(a)googlegroups.com The system demonstration track at EACL 2023 is a venue for papers describing system demonstrations, ranging from early prototypes to mature production-ready systems. Publicly available open-source or open-access systems are of special interest. All accepted demos are published in a companion volume of the conference proceedings. We expect at least one of the authors to present a live demo during a demo session at EACL 2023, with an accompanying poster, either virtually or in-person. Submissions will undergo a single-blind reviewing process. Therefore, papers may include author and affiliation information, and freely make references to previously published material, and URLs. This year we are incorporating ethical considerations in the review process. Authors will be allowed extra unlimited space after the main content for a broader impact statement or other discussions of ethics. Please review the ethics policy before submitting. =============================== Important Dates =============================== - Direct paper submission deadline: Friday, 2 December 2022 - Notification of acceptance: Friday, 8 February 2023 - Camera-ready papers due: Wednesday, 1 March 2023 - Main Conference: Wednesday – Friday, 3–5 May 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). ======================== Paper Submission Information ========================= --- Topics of Interest --- Of interest are all topics related to theoretical and applied computational linguistics, such as (but not limited to) the topics listed on the main conference website. Submitted systems papers may be of the following types: - Natural Language Processing systems or system components - Application systems using language technology components - Software tools for Computational Linguistics research - Software for analysis, demonstration, or evaluations - Software supporting learning or education - Tools for data visualization and annotation - Development tools Please note: Commercial sales and marketing activities are not appropriate in the system demonstration track at EACL 2023. --- Submission Guidelines --- All submissions should be made electronically via START. Please note that the submission platform is different from the one used by the main conference. Submissions must include the following: - A paper describing the motivation and the technical details of the system, including visual aids (e.g., screenshots, snapshots, or diagrams). We encourage authors to check recent demonstration papers at previous ACL, EACL, EMNLP, and NAACL conferences for examples. - A short video (max. 2 minutes) demonstrating the system. This video will be used to evaluate the paper, but it will not be published unless requested. A screencast with audio narration is a natural choice for demos that can be presented on a screen. Otherwise, a video of a user interacting with the system can be used. The production quality of the video is not of interest. Hence, we encourage the videos to be simply a screencast of the software that is getting demoed, with zero to minimal editing efforts. We recommend that you publish your video on YouTube, or another website and include the link in your paper. If you prefer not to publicly upload a screencast, please submit the video (in MPEG4 format). The video must be included as supplementary material when you submit your paper through START. In addition, we strongly recommend that all demos be made available via one of the following formats: (a) a live demo website, or (b) a website with a downloadable installation package of the demo. We understand though that this might be impossible, e.g., when special hardware is required or when access is otherwise limited. --- Submission Policy --- The demo paper has to be original, written specifically for this conference, and cannot be submitted elsewhere. The paper must also report on a substantial improvement (>30%) if the system that is being described has been reported elsewhere before. Authors submitting more than one demo paper to EACL 2023 must ensure that the submissions do not overlap significantly (>25%) with each other. Submissions of identical or closely related work to multiple tracks at EACL 2023 (Research, SRW, Industry, or Demo) will be rejected by all tracks. --- Reviewing Policy --- Reviewing will be single-blind, and thus authors do not need to conceal their identity. Thus, the demo papers should include the authors’ names and affiliations. Self-references are also allowed. Relevant papers that meet formatting requirements will be assessed on the basis of their relevance to the demo track, contribution, clarity, completeness, and novelty. --- Ethics Policy --- Authors are required to honor the ethical code set out in the ACM Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns about their work. Authors will be allowed extra space after the 6th page for a broader impact statement or other discussions of ethics. The ACL demonstration review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional acceptance will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. Please read the ethics FAQ (shared with the main conference) for more guidance on some problems to look out for and key concerns to consider relative to the code of ethics. ---- Best Demo Award ---- We will present a Best Demo Paper Award. The winner will be chosen based on the contribution and the completeness of the system, as assessed by the reviewers and also based on the live demo at the conference. ============================= Contact Information ============================= If you have questions that are not answered there, please email the program co-chairs at eacl2023demos(a)googlegroups.com. ---- Demo Track Co-chairs ---- - Danilo Croce (University of Rome, Tor Vergata) - Luca Soldaini (Allen Institute for AI)

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CfP: Journal of Biomedical Informatics (JBI) Special Issue on Semantics-enabled Biomedical Literature Analytics
by Halil Kilicoglu 11 Oct '22

11 Oct '22

*** Apologies for cross-posting *** Call for Papers: Semantics-enabled Biomedical Literature Analytics This Special Issue aims to highlight the development of novel informatics methods for *retrieval, indexing, and analysis of biomedical literature, focusing on semantics-based techniques*. We invite researchers working in biomedical informatics, knowledge representation/ontologies, information retrieval, natural language processing, artificial intelligence/machine learning, data mining, and other related areas to submit clear and detailed descriptions of their novel methodological results. The topics of interest include but are not limited to: - Knowledge representation and semantics for biomedical literature retrieval - Biomedical ontologies in search - Biomedical knowledge source integration - Biomedical knowledge graph construction and embeddings - Knowledge graphs in biomedical search - Semantic knowledge in biomedical literature classification and ranking - Biomedical information extraction - Entity linking and semantic annotation in biomedical texts - Literature-based knowledge discovery - Semantics for biomedical knowledge synthesis and systematic literature review All submitted papers must be original and will go through a rigorous peer-review process with at least two reviewers. Papers previously published in conference proceedings will not be considered. JBI’s editorial policy will be strictly followed by special issue reviewers. Note in particular that JBI emphasizes the publication of papers that introduce innovative and generalizable methods of interest to the informatics community. Specific applications can be described to motivate the methodology being introduced, but papers that focus solely on a specific application are not suitable for JBI. *Submission Guidelines* Authors must submit their papers via the online Editorial Manager (EES) at <http://ees.elsevier.com/jbi>https://www.editorialmanager.com/jbi <https://ees.elsevier.com/jbi>. Authors should select “Semantics-enabled Biomedical Literature Analytics” as their submission category and note in a cover letter that their submission is for the “*Special Issue on Semantics-enabled Biomedical Literature Analytics.*” If the manuscript is not intended as an original research paper, the cover letter should also specify if it is, rather, a *Methodological Review, Commentary, or Special Communication*. Authors should make sure to place their work in the context of human-focused biomedical research or health care, and to review carefully the relevant literature. JBI’s editorial policy, and the types of articles that the journal publishes, are outlined under *Aims and Scope *on the journal home page at https://www.sciencedirect.com/journal/journal-of-biomedical-informatics <https://www.journals.elsevier.com/journal-of-biomedical-informatics>(click on “View full Aims and Scope” for details). All submissions should follow the guidelines for authors at <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*https://www.elsevier.com/journals/journal-ofbiomedical- informatics/1532-0464/guide-for-authors <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*, including format and manuscript structure. *Important Dates* Deadline for submissions: November 15, 2022 First-round review decisions: January 15, 2023 Deadline for revision submissions: February 15, 2023 Notification of final decisions: April 15, 2023 The full Call for Papers is available at https://doi.org/10.1016/j.jbi.2022.104134. Please direct any questions regarding the special issue to Dr. Halil Kilicoglu (halil(a)illinois.edu). *Guest Editors:* Halil Kilicoglu (University of Illinois Urbana-Champaign, halil(a)illinois.edu ) Faezeh Ensan (Ryerson University, fensan(a)ryerson.ca) Bridget McInnes (Virginia Commonwealth University, bmtinnes(a)vcu.edu) Lucy Lu Wang (University of Washington/Allen Institute for AI, lucylw(a)uw.edu ) --Halil *HALIL KILICOGLU* *Associate Professor* School of Information Sciences University of Illinois at Urbana-Champaign halil(a)illinois.edu https://ischool.illinois.edu/people/halil-kilicoglu

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Call For Volunteers - EMNLP 2022
by Wajdi Zaghouani 11 Oct '22

11 Oct '22

We seek a limited number of student volunteers for the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), for both online and in-person versions. In exchange for one full day equivalent of work, students receive free registration to the main conference. Workshops and tutorials are not included and must be paid for by the student. The work will be divided, probably into two half-day shifts, and the shifts will be scheduled to maximize volunteer access to the conference events. Tasks will include assisting at the registration desk, stuffing delegate packs, helping to maintain social media (mainly Twitter) and providing assistance for conference events including tutorials, the main conference, and workshops, for either online or in-person versions. Webpage: https://2022.emnlp.org/volunteers Important Dates Application deadline: October 24th Notification of acceptance: November 9th Submission Procedure Applicants for either the Student Volunteer Program or the Student Scholarship Program must be full-time students and should submit the application form below where we ask a few questions and a one-page CV Application form: https://forms.gle/cwvq88ohKtp5t88z6 Contact Details Student Volunteers Chairs : emnlp2022.volunteers(a)gmail.com ---- *Wajdi Zaghouani, Ph.D.* *Assistant Professor* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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Lingua Custodia is hiring an NLP researcher
by François Portet 11 Oct '22

11 Oct '22

***The company - Lingua Custodia*** Lingua Custodia is a Fintech company leader in Natural Language Processing (NLP) for Finance. It was created in 2011 by finance professionals to initially offer specialised machine translation. Leveraging its state-of-the-art NLP expertise, the company now offers a growing range of applications in addition to its initial Machine translation offering: Speech-to-Text automation, Document classification, Linguistic data extraction from unstructured documents, Mass web crawling and data collection, ... and achieves superior quality thanks to highly domain-focused machine learning algorithms. Its cutting-edge technology has been regularly rewarded and recognised by both the industry and clients: Investment houses, custody or investment banks, private banks, financial divisions within major corporations and service providers for financial institutions. Lingua Custodia’s team is composed of a diversified mix of profiles, strongly skilled in their area of expertise, all committed to our entrepreneurial adventure. But what we value the most at Lingua Custodia are soft skills: Team spirit, trustfulness, open-minded thinking, enthusiasm, freedom to try new ideas or practices ***Responsibilities*** The NLP researcher will be part of the R&D team. He/she will design and implement experiments in the field of Neural Machine Translation, which will be reported in scientific, technical publications and demonstrators at international conferences (WMT, EAMT, ACL, EMNLP). Research activities relate mainly to the following topics: • Automatic data extraction and cleaning methods • Bilingual Terminology induction from monolingual datay • Terminology control in Neural Machine Translation to ensure the reliable translation of specific entities • Modelling of source sentence coverage during translation • Document-level Machine Translation • Machine Translation evaluation ***Qualifications*** • PhD in Computer Science, Machine Learning, Natural Language Processing or any related fields. • Strong track record of successful implementations and publications in Natural Language Processing or Machine Learning. • Experience in Linux environment: Bash scripting. • Proficiency in Python • Proficiency in at least one neural framework: TensorFlow, Pytorch, etc • Bilingual or high proficiency in French ***Benefits*** • Friendly start-up environment • Laptop • Possibility to work remotely • Health insurance • Lunch vouchers ***Contact*** Applications are expected by email: hr(a)linguacustodia.com Please, specify the position name in subject field. thanks in advance, Raheel Qader Head of R&D raheel.qader(a)linguacustodia.com <mailto:jingshu.liu@linguacustodia.com> __ *Natural Language Processing (NLP) for Finance*_ _ _*www.linguacustodia.finance* <https://eur01.safelinks.protection.outlook.com/?url=www.linguacustodia.fina…>_ *France **-**Luxembourg* * * /This message and its attachment contain information that may be privileged or confidential and is the property of Lingua Custodia. It is intended only for the person to whom it is addressed. If you are not the intended recipient, you are not authorized to read, print, retain, copy, disseminate, distribute, use or rely on the information contained in this email. If you receive this message in error, please notify the sender immediately and delete all copies of this message./

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Search Solutions 2022: Registration open + List of Confirmed speakers
by Udo Kruschwitz 11 Oct '22

11 Oct '22

Search Solutions 2022 ------------------------------ Weds 23 November 10:00 - 18:00 https://www.bcs.org/membership-and-registrations/member-communities/informa… Innovations in Search and Information Retrieval Search Solutions is the BCS Information Retrieval Specialist Group’s annual forum focused on practitioner issues and latest innovations in the area of Search and Information Retrieval. The programme includes presentations, panels and keynote talks by influential industry leaders on novel and emerging applications in search and information retrieval. CONFIRMED SPEAKERS (Wednesday 23 November) * Amy Walduck (State Library of Queensland) “The Topography of Searching: Visualising search data“ * Brammert Ottens (Spotify) “Finding the Right Audio Content for You” * Farhad Shokraneh (Institute of Health Informatics, University College London) “The Futures of Systematic Searching” * Filip Radlinski (Google) "Challenges with Really Understanding Natural Language in Conversational Recommendation" * Gavin Moore & Andrew Doyle (University Hospitals Coventry & Warwickshire NHS Trust) “A Programmable Search – A Solution to Finding Guidelines and Patient Information?” * Julien Massiera & Cedric Ulmer (France Labs) “Combining Spacy with Datafari Community Edition to enable semantic Enterprise Search” * Mohamed Yahya (Bloomberg) “Taking Question Answering from Research Prototype to Product” * Natasha den Dekker (LexisNexis) “How to conduct empathetic user research to test the search experience of users?” * Phil Lewis (Pureinsights) “Practical Applications of Knowledge Graphs and AI in Search” TUTORIALS (Tuesday 22 November) Tutorial 1 – Full day IR From Bag-of-words to BERT and Beyond through Practical Experiments * Sean MacAvaney (University of Glasgow), Craig Macdonald (University of Glasgow), Nicola Tonellotto (University of Pisa) Tutorial 2 – AM Approaching Neural Search with Apache Solr and Open-source technologies * Alessandro Benedetti (CEO @ Sease Ltd, Apache Lucene/Solr Committer, Apache Solr PMC Member) Tutorial 3 – PM Simplifying NLP researchers work with Datafari Open Source * Julien Massiera (France Labs), Cedric Ulmer (France Labs) Tutorial 4 – Full Day Diverse Approaches to Systematic Searching * Farhad Shokraneh (Institute of Health Informatics, University College London) LOCATION Search Solutions is organised by the Information Retrieval Specialist Group of the BCS (The Chartered Institute for IT) and ISKO (International Society for Knowledge Organization), and is held at the BCS Central London Office: BCS, The Chartered Institute for IT Ground Floor 25 Copthall Avenue London EC2R 7BP https://www.bcs.org/more/about-us/hire-our-london-office/ REGISTRATION https://www.eventbrite.co.uk/e/search-solutions-2022-inc-tutorials-informat… Registration fees (including VAT at 20%) for Search Solutions are as follows: * BCS member rate: £92 * Non-member rate: £110 * Students: £80 Registration fees include lunch and a copy of the proceedings. Tea and coffee will also be available throughout the day followed by a drinks reception in the evening. Tutorials are payable separately. The registration fees for tutorials are as follows: * BCS member rate: £80 * Non-member rate: £95 * Students: £65 Organisers * Ingo Frommholz * Frank Hopfgartner * Udo Kruschwitz * Tony Russell-Rose * Martin White * Haiming Liu (tutorials chair) Contact For further details, contact irsg(a)bcs.org.uk

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Postdoc (2 years): Deep contextual language modeling for protein sequences
by olivier.ferret＠cea.fr 11 Oct '22

11 Oct '22

CEA-List, a research institute of Paris-Saclay University, is looking for a Postdoctoral Fellow to join its laboratory of semantic analysis of texts and images. In the context of the DeepGenSeq project, you will integrate an interdisciplinary team aiming to move closer to the goal of predictive and generative artificial intelligence for biology by exploiting deep contextual language models of biological sequences, whose representations generalize to several applications like the prediction of mutational effects. BACKGROUND Exponential growth in sequencing throughput together with the sampling of natural (uncultured) populations are providing a deeper view of the diversity of proteins sequences across the tree of life. Proteins are molecular engines sustaining cellular life and the unobserved determinants of their structure and function are encoded in the distribution of observed natural sequences. Therefore, such vast amounts of (unlabelled) sequences provide evolutionary data that can form the ground for unsupervised learning of predictive and generative models of biological function. Our focus here will be to train high-capacity Transformer-based language models on sequence data, in a way analogous to what is done in natural language understanding, where the semantics of words is determined from the contexts in which they appear in sentences. Intrinsic organizing principles captured in the resulting representations can then be applied in transfer learning settings to different prediction sub-tasks using limited experimental data, like the effect of sequence variation on function. Following promising recent results, we plan to also explore zero-shot inference with no additional training and/or supervision from experimental data. This project will be an excellent opportunity for a candidate who is looking to contribute to cutting-edge research and to train with experts in the field. We are seeking a detail-oriented computer scientist and problem solver passionate in science. RESPONSIBILITIES * Tune and optimize existing unsupervised transformer-based language models for protein sequences. * Develop and optimize code and machine learning algorithms for predictive models. * Integrate and analyze large data volumes. * Interact continuously with scientists in an interdisciplinary team. REQUIREMENTS * Ph.D. or M.Sc. in a quantitative discipline, e.g. Applied Mathematics, Computer Science, Computational Biology, Physics or a closely related discipline. * Experience with Python, open-source software libraries for machine learning and Linux (file systems, shell, hardware/software monitoring, etc). * Strong mathematical background and analytical skills. * Effective organizational skills, e.g. the ability to prioritize work and contribute to the planning of a program of scientific research. * Demonstrated interpersonal skills including both the ability to work independently and perform collaborative research in an interdisciplinary team environment. * Good oral and written communication skills. Preferred: Previous experience with transformer-based techniques for NLP pre-training and unsupervised transformer language models TERMS & COMPENSATION This 2 years position is open to a range of candidates from recent college graduates to more experienced scientists (e.g. post-docs) – the chosen candidate's salary will be commensurate with their level of education, skills, and experience. LOCATION We are based on the Paris-Saclay research campus in the south of Paris. HOW TO APPLY Interested candidates should submit a resume and short cover letter to deepgenseq « at » saxifrage.saclay.cea.fr ABOUT US : About CEA-List:: https://list.cea.fr/en/ About the LASTI lab: https://kalisteo.cea.fr/index.php/ai/ https://kalisteo.cea.fr/index.php/textual-and-visual-semantic/ About Genoscope: https://www.genoscope.cns.fr

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Software developer part time 80%
by Dominik Schlechtweg 10 Oct '22

10 Oct '22

As part of the international research project CHANGE IS KEY! a position is available as of 01.01.2023 or as soon as possible thereafter as a Software Developer part-time (80%) for a limited period of 6 months. If the requirements are met, remuneration up to pay group E10 TV-L is possible. The project CHANGE IS KEY! ( https://www.changeiskey.org/ ) is funded by the Swedish Riksbankens Jubileumsfond. The project seeks to make computational linguistic methods for meaning change detection useful for research in the humanities and social sciences. The software developer is developing the DURel annotation tool ( https://durel.ims.uni-stuttgart.de/ ) with the following tasks in particular: * maintenance * bug fixing * further development of the functions, e.g. - implementation of computational annotation bots - data statistics and visualization - data upload - optimized data sampling - interactive tutorials Requirements profile: * Completed university education (at least bachelor's level) in software development/computer science * Advanced programming knowledge in Python, Java, SQL, SpringBoot Knowledge in machine learning, NLP and semantic language modeling is furthermore an advantage. Your application: If you are interested, please send us your complete application in the form of a PDF file by 1.11.2022 exclusively via email to Mr. Dominik Schlechtweg (dominik.schlechtweg AT ims PUNKT uni-stuttgart PUNKT de). This should include the following documents: Letter of motivation, CV, references, contact details of at least one reference. The University of Stuttgart would like to increase the number of women in the scientific field. Therefore, women are explicitly encouraged to apply. Severely disabled persons will be given priority in case of equal suitability. We would like to point out that the submission of the application constitutes consent under data protection law for us to process your application-related data. For more information on the legal basis and use of data in accordance with Art. 13 DS-GVO, please visit https://www.uni-stuttgart.de/datenschutz/bewerbung/. We look forward to receiving your application!

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The 21st International Workshop on Treebanks and Linguistic Theories – SECOND CALL FOR PAPERS
by Kilian Evang 09 Oct '22

09 Oct '22

The 21st International Workshop on Treebanks and Linguistic Theories – SECOND CALL FOR PAPERS Submission link: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Submission deadline: Nov 1st, 2022 The 21st International Workshop on Treebanks and Linguistic Theories (TLT) will bring together developers and users of linguistically annotated natural language corpora and take place during the week of March 9th–12th, 2023 in Washington D.C. on the campus of Georgetown University as part of GURT 2023. VENUE The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will feature four events, which are workshops or conferences focused on computational and corpus approaches to syntax but also covering theoretical issues: Universal Dependency Workshop (UDW), Depling, Treebanks and Linguistic Theory (TLT), and CxGs+NLP. All talks from all events will take place in a single (non-parallel) plenary session, with the papers from one event being presented contiguously. The goal of co-locating these events is to promote cross-fertilization of ideas across subcommunities. Proceedings will be published separately for each event, and will be available in the ACL Anthology. In order to support rich discussions and networking with minimal overhead and cost, GURT will be primarily an in-person event; we will, however, accommodate a limited number of live/synchronous remote presentations, prioritizing those with circumstances that prevent travel. University policies regarding COVID safety will be in force during the event. Georgetown University is located in a historic neighborhood in the heart of the nation’s capital. The city is a premier tourist destination, and the region is served by Reagan National (DCA), Dulles (IAD), and Baltimore-Washington (BWI) airports. SUBMISSION INFORMATION TLT addresses all aspects of treebank design, development, and use. As ‘treebanks’ we consider any pairing of natural language data (spoken, signed, or written) with annotations of linguistic structure at various levels of analysis, including, e.g., morpho-phonology, syntax, semantics, and discourse. Annotations can take any form (including trees or general graphs), but they should be encoded in a way that enables computational processing. Reflections on the design of linguistic annotations, methodology studies, resource announcements or updates, annotation or conversion tool development, or reports on treebank usage are but some examples of the types of papers we anticipate for TLT. Papers should describe original work; they should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference, and interest to the attendees. We invite paper submissions in two distinct tracks: - long papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; - short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces. All papers accepted for presentation at the workshop will be included in the TLT 2023 proceedings volume, which will be part of the ACL Anthology. Long papers may consist of up to 8 pages of content (excluding references and appendices). Short papers may consist of up to 4 pages of content (excluding references and appendices). Accepted papers will be given an additional page to address reviewer comments. All submissions should follow the two-column format and the ACL style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for ACL: https://github.com/acl-org/acl-style-files All papers must be anonymous, i.e., not reveal author(s) on the title page or through self-references. So, e.g., “We previously showed (Smith, 2020) …”, should be avoided. Instead, use citations such as “Smith (2020) previously showed …”. Papers must be submitted digitally, in PDF, and uploaded through the on-line conference system: https://openreview.net/group?id=georgetown.edu/GURT/2023/Conference Double submission policy: We will accept submissions that have been or will be submitted elsewhere, but require that the authors notify us, including information on where else they are submitting. We also require that authors withdraw work that will be published elsewhere (no double publication). Submissions that violate these requirements will be rejected without review. All papers will be refereed through a double-blind peer review process with final acceptance decisions made by the workshop organizers. Submissions may be selected for publication in a GURT venue other than TLT at the discretion of the organizers. IMPORTANT DATES Long and short paper submission deadlines: November 1st, 2022 Reviews Due: December 10th, 2022 Notification of acceptance: January 9th, 2023 Final version of papers due: January 28th, 2023 GURT2023: March 9th-12th, 2023 TLT WORKSHOP CHAIRS Daniel Dakota, Indiana University Kilian Evang, Heinrich Heine University Düsseldorf Sandra Kübler, Indiana University Lori Levin, Carnegie Mellon University Contact: ddakota(a)iu.edu Website: https://cl.indiana.edu/tlt2023 GURT Website: https://gurt.georgetown.edu/

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(Reminder) CfP: "Educational NLP for a Multilingual World: Research, Applications, and Challenges", Special Issue, IJAIED
by Mamoru Komachi 08 Oct '22

08 Oct '22

Dear colleagues, This is a gentle reminder for the International Journal of Artificial Intelligence in Education (IJAIED) a Special Issue (SI) titled: “Educational NLP for a Multilingual World: Research, Applications, and Challenges” The SI will have a semi-open call where we will have a mandatory initial extended abstract submission (1000 words max) that shall be submitted to the guest editors <ijaied.nlp.mlw(a)gmail.com <mailto:ijaied.nlp.mlw@gmail.com>> by October 15, 2022. Find the full description and CFP at: https://www.springer.com/journal/40593/updates/23181128 <https://www.springer.com/journal/40593/updates/23181128> Please do not hesitate to reach out to any of the guest editors if you have any questions. Thank you, The guest editors: Giora Alexandron, Weizmann Institute of Science, Israel<giora.alexandron(a)weizmann.ac.il <mailto:giora.alexandron@weizmann.ac.il>> Beata Beigman Klebanov, Educational Testing Service, USA<bbeigmanklebanov(a)ets.org <mailto:bbeigmanklebanov@ets.org>> Mamoru Komachi, Tokyo Metropolitan University, Japan <komachi(a)tmu.ac.jp <mailto:komachi@tmu.ac.jp>> Torsten Zesch, FernUniversität in Hagen, Germany <torsten.zesch(a)fernuni-hagen.de <mailto:torsten.zesch@fernuni-hagen.de>>

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Second Call for Participation: ValueEval @ SemEval'23
by Milad Alshomary 07 Oct '22

07 Oct '22

Dear All, [Apologies for cross posting] We would like to invite you again to participate in ValueEval, the shared task on Human Value Detection, organized as part of SemEval'23 and Touché'23. https://valueeval.webis.de Human values have been studied in the social sciences (Schwartz, 1994) and in formal argumentation (Bench-Capon, 2003) for decades. Within computational linguistics, not much research exists, though human values can provide context for categorizing, comparing, and evaluating argumentative statements. Use cases of automated value detection systems are, e.g.: argument strength assessment, audience-based argument generation and selection, ethical discussion overview, large- scale social science research. The ValueEval task is: "Given a textual argument and a human value category, classify whether or not the argument draws on that category." See our ACL paper [1] and the task website (with 4 minute explanation video) for the details. Important Dates: - In November, 2022: Run submission opens. - December 9, 2022: Early-bird run submission closes. - January 24, 2023: Run submission closes. - January 31, 2023: Run evaluation results out. - In February 2023: Paper submission deadline. - In March 2023: Paper notification. - In April 2023: Camera-ready paper submission deadline. - In Summer 2023: SemEval Workshop (co-located with a major NLP conference). Helpful links: - Register here: https://forms.gle/ib72JUtsxhb3ZMNw5 - Mailing list: https://groups.google.com/g/valueeval - Task website: https://valueeval.webis.de - Twitter: https://twitter.com/ValueEval - Video Explanation: https://www.youtube.com/watch?v=ZAQ4LELCCY4&ab_channel=webis Task organizers: Johannes Kiesel, Milad Alshomary, Henning Wachsmuth, Benno Stein Kind Regards, Milad Alshomary [1] https://aclanthology.org/2022.acl-long.306/ -- Milad Alshomary, M.Sc. Computational Social Science Paderborn University Zukunftsmeile 2 33102 Paderborn Germany Office A.03.03 Phone (+49) (0) 5251 60-6587 E-Mail milad.alshomary(a)uni-paderborn.de

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European Language Equality: Open Call for SRIA Contribution Projects
by Georg Rehm 07 Oct '22

07 Oct '22

The European Language Equality <https://european-language-equality.eu/> (ELE) initiative launched an Open Call for SRIA Contribution Projects <https://european-language-equality.eu/open-call/>. TOPICS The SRIA contribution projects are meant to provide meaningful, so far missing, convincing and compelling input for the Strategic Agenda and Roadmap for achieving full digital language equality in Europe by 2030 developed by the ELE EU project. The projects should provide defined use cases and feasibility studies for concrete application scenarios in one of the following ten topics: 1. Data sets for more robust speech technology 2. Study of language coverage for text mining and natural language understanding in key European industrial sectors 3. Legal Assessment 4. General NLP/LT/AI Landscaping 5. General NLP/LT Domains 6. Analysis of AI and LT in European news media 7. Computing facilities for LT 8. Demonstrably Greener Models of MT 9. Survey of the use of LT in the hospital sector 10. Basic LAnguage Resource Kit (BLARK) (re)definition TIMELINE Publication of the call: 29 September 2022 Submission deadline: 29 November 2022 (23:59 CET) Evaluation and selection of the submitted proposals: December 2022 Contract signing and projects start: December 2022 – January 2023 Project duration: 2-3 months ELIGIBLE APPLICANTS * Research organisations (including but not limited to higher education organisations and independent research organisations), NGOs, incorporated associations and companies * Legally established in EU member states * One organisation per project only (mono-beneficiary projects) FUNDING * €185,000 allocated for the call * maximum amount of eligible costs per single project: €25,000, funding rate: 90% * financial support will be provided in the form of a lump sum after completing all project activities HOW TO APPLY Apply via the open call submission platform <https://opencall.european-language-equality.eu/>, follow the Call documentation and related annexes on the open call website <https://european-language-equality.eu/open-call/>. CONTACT Open Call management team: open-call(a)european-language-equality.eu -- Prof. Dr. Georg Rehm <http://georg-re.hm/> Principal Researcher and Research Fellow <http://www.dfki.de/> DFKI GmbH <http://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 – Mobile: +49 173 2735829 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Gabriël Clemens Amtsgericht Kaiserslautern, HRB 2313

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Metaphor Annotated Bible?
by Maria Berger 07 Oct '22

07 Oct '22

Hello everyone, I am currently working on transfering approaches of metaphor identification from English to German. I was wondering whether there is a freely-available metaphor-annotated Bible corpus out there. I am pretty sure there are a lot rather special datasets. What I basically am looking for is a typical flat-annotated Bible with words/phrases that are figurative in consent. I found the Lexham Figuratative Language of the NT Dataset (2016) but that seems to come with a special software only. I am grateful for any hint. Best, Maria -- Dr. rer. nat. Maria Berger Room GB 5/147 German Department Ruhr University Bochum Universitätsstr. 150 44780 Bochum, Germany

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EACL 2023: Abstract Registration Deadline is in One Week (October 13)
by Joel Tetreault 07 Oct '22

07 Oct '22

(apologies for cross-posting) There are many reasons to submit a paper to EACL 2023: - You have some innovative work that will impact the community - You want to start the year off right by presenting work at the first top-tier *CL conference of 2023 - You’ve never been to Croatia and that just sounds like a lovely place in May (it is) - You’re one of the die-hard EACL fans and want to celebrate 40 years of the conference in 2023 (yes, the first EACL was in Pisa, Italy in 1983) - You are emotionally swayed by this bulleted list (60% of the time it works every time) Whatever the case may be, this is a gentle reminder that the abstract registration deadline is in one week (October 13) and is necessary if you plan on submitting a paper (October 20). Hope to see your submissions later this month! Website: https://2023.eacl.org/ Call for Papers: https://2023.eacl.org/calls/papers/ Abstract Registration Deadline: Thursday, 13 October 2022 Submission Deadline: Thursday, 20 October 2022 Conference Dates: Tuesday, 2 May 2023 to 6 May 2023 Location: Dubrovnik, Croatia Contact: Alessandro Moschitti (General Chair): amoschitti(a)gmail.com // Isabelle Augenstein & Andreas Vlachos (Program Chairs): eacl2023pcs(a)googlegroups.com

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CfPs XIV International Conference on Corpus Linguistics
by Paula Rodríguez-Puente 06 Oct '22

06 Oct '22

*XIV International Conference on Corpus Linguistics * *Corpus Linguistics in the Digital Era: Genres, registers and domains* Oviedo, Spain, 10-12 May, 2023 The Spanish Association for Corpus Linguistics (AELINCO) and the Organising Committee of this conference edition are pleased to invite you to the *14th International Conference on Corpus Linguistics *(CILC2023), which will take place from *10 to 12 May 2023* at the *Faculty of Humanities of the University of Oviedo*. The theme of the conference is *Corpus Linguistics in the Digital Era: Genres, registers and domains. *Most studies based on or derived from corpora, implicitly or explicitly, deal with the notion of genre, and other concepts such as those of register and domain. In Corpus Linguistics, the importance of these concepts has been repeatedly highlighted in studies by Douglas Biber and other linguists working in the field of Corpus Linguistics. This is the reason why the theme selected for the conference is Corpus Linguistics in the digital era, with especial reference to the analysis of genres, registers and domains. The conference will also cater for other themes such as the analysis of genres, registers and domains in Applied Linguistics and statistical analyses. These themes will be dealt with in different round tables taken place during the academic event. *KEYNOTE SPEAKERS * The following plenary speakers have confirmed their participation: · *Beatrix Busse* <https://portal.uni-koeln.de/es/university/organization/rectorate/vice-recto…> (University of Cologne, Germany) · *Teresa Fanego* <https://www.usc-teresafanego.es/> (University of Santiago de Compostela, Spain) · *Gaëtanelle Gilquin* <https://perso.uclouvain.be/gaetanelle.gilquin/> (Catholic University of Louvain, Belgium) · *Jukka Tyrkkö* <https://lnu.se/en/staff/jukka.tyrkko/> (Linnaeus University, Sweden) · *Roberto Valdeón* <https://fifa.uniovi.es/personal/pdi/-/asset_publisher/0018/content/valdeon-…> (University of Oviedo, Spain) *SUBMISSION OF PROPOSALS* Prospect speakers are welcome to submit abstract proposals contributing to any one of the nine AELINCO thematic panels: 1. Corpus design, compilation and types 2. Discourse, literary analysis and corpora 3. Corpus-based grammatical studies 4. Corpus-based lexicology and lexicography 5. Corpora, contrastive studies and translation 6. Linguistic variation and change through corpora 7. Corpus-based computational linguistics 8. Corpora, language acquisition and teaching 9. Special uses of corpus linguistics The Organising Committee of CILC2023 invites the submission of abstract proposals for oral presentations (20 minutes) or poster presentations (A1), in line with the central themes of the conference or related to one of the nine areas of interest (panels) of AELINCO. Each participant may submit a maximum of two proposals in English or Spanish from *15 October 2022 to 31 December 2022, which is the deadline for submission. The specific guidelines for submission* *and the stylesheet may be found* at http://www.aelinco.es/en/cilc-instructions-style-sheet. <http://www.aelinco.es/en/cilc-instructions-style-sheet> All proposals should be submitted via a* platform which will become available on 15 October*, indicating the selected panel. *Each proposal can only be included in a single panel*. *Notification of acceptance will be on 15 February 2023.* *CONTACT AND FURTHER INFORMATION* The Organising Committee remains at your disposal for any questions, suggestions or requests you may have. We may be reached at *cilc.oviedo(a)gmail.com* <http://cilc.oviedo@gmail.com> More detailed information about the conference may be found at: *https://cilc2023.wordpress.com/* <https://cilc2023.wordpress.com/> We would appreciate it if you could share this invitation with any scholars who might be interested. Looking forward to meeting you all in Oviedo! *The Organising Committee of CILC2023* María Luisa Díez Arroyo Santiago González Fernández Corugedo. Ana Cristina Lahuerta Martínez Sergio López Martínez Rodrigo Pérez Lorido Carlos Prado-Alonso Paula Rodríguez-Puente *Assistants* Hugo Álvarez Manso Iván Celaya Gutiérrez David Hernández Coalla Iñigo Noval Santamaría -- *Paula Rodríguez-Puente* Departamento de Filología Inglesa, Francesa y Alemana Universidad de Oviedo Campus El Milán C/ Amparo Pedregal s/n 33011 Oviedo *Tlf*. 985-104570 Variation, Linguistic Change and Grammaticalization <http://www.usc-vlcg.es/PRP.htm> LINGUO <https://linguo.grupos.uniovi.es/presentacion/miembros/detalle/-/asset_publi…> <http://www.usc-vlcg.es/PRP.htm>Academia <https://uniovi.academia.edu/PaulaRodr%C3%ADguezPuente> <https://uniovi.academia.edu/PaulaRodr%C3%ADguezPuente>Scholar <https://scholar.google.es/citations?user=I4axNDUAAAAJ&hl=es> <http://www.usc-vlcg.es/PRP.htm>

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RiCL Indexation (Q1 in Dialnet Metrics)
by JOSE CARLOS PRADO ALONSO 06 Oct '22

06 Oct '22

Dear colleagues, As Editors of the journal Research in Corpus Linguistics (RiCL), we are pleased to announce that the journal has been recently included in important databases such as REDIB<https://www.redib.org/Record/oai_revista6381-research-corpus-linguistics>, Index Copernicus International<https://journals.indexcopernicus.com/search/details?id=69581&lang=pl> (ICV 92.36) and REDALYC<https://www.redalyc.org/>. In Dialnet metrics<https://dialnet.unirioja.es/metricas/idr/revistas/26439>, the journal has also escalated to the first quartile (Q1) in the areas of Modern Philology (3/53), Philologies (21/327) and Linguistics (11/72). To see the full list of RiCL’s indexation databases, please follow the link: https://ricl.aelinco.es/index.php/ricl/abstracting We would like to take this chance to invite you to submit your proposals to RiCL, the official journal of the Spanish Association for Corpus Linguistics (AELINCO). RiCL is a scholarly peer-reviewed international scientific journal published annually, aiming at the publication of contributions which contain empirical analyses of data from different languages and from different theoretical perspectives and frameworks, with the goal of improving our knowledge about the linguistic theoretical background of a language, a language family or any type of cross-linguistic phenomena/constructions/assumptions. For further details on RiCL’s section policies, clik here<https://ricl.aelinco.es/index.php/ricl/section-policies>. For further information, see the Journal's Editorial Policies<https://ricl.aelinco.es/index.php/ricl/editorial-policies> and the Submission Guidelines<https://ricl.aelinco.es/index.php/ricl/about/submissions>. Call for papers is now open for issue 10/1 to be published in the first semester of 2022. All the best, Paula Rodríguez-Puente & Carlos Prado-Alonso Editors of RiCL Dr. Carlos Prado-Alonso Department of English, French and German<https://fifa.uniovi.es/> <https://fifa.uniovi.es/>University of Oviedo Campus de El Milán C/ Amparo Pedregal s/n E-33011 Oviedo, SPAIN Phone: +34 985104553 <mailto:pradocarlos@uniovi.es> http://www.usc-vlcg.es/CPA.htm <mailto:pradocarlos@uniovi.es>

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PhD offer on Analogies in Natural Language Processing
by stergos.afantenos＠irit.fr 06 Oct '22

06 Oct '22

3-year PhD position in Computational Models of Analogy Making in Natural Language (IRIT and University of Toulouse, France) We invite applications for a fully funded PhD position for 3 years at the IRIT laboratory and the University of Toulouse, Paul Sabatier, France, in the context of the recently funded project AT2TA on Analogy Making. Analogy Making is a remarkable cognitive capability during which similarities and differences between two parallel situations are exploited in order to draw a common "essence" allowing us thus to categorize an object or a particular situation to a preexisting concept or create a new one. Reasoning by analogy allows us thus to transfer our understanding of a previous situation to a new one and appropriately adapt it. It has been argued that analogy making lies at the core of cognition (Hofstadter 2001) and has recently drawn the attention of Deep Learning pioneers (Chollet 2017, LeCun 2022). In Natural Language Processing analogies usually take the form of a quadruplet a:b :: c:d traditionally expressed as "a is to b as c is to d" (for example, Paris is to France as Berlin is to Germany). Most of the extant work considers a, b, c, d as word embeddings and then relies on geometrical properties of those embedding in a higher dimensional space in order to recognise a quadruplet as an analogy or to generate a d such that a:b :: c:d forms analogy given a, b and c. Despite the importance of analogies, most works in NLP do not consider analogies between sentences and do not concentrate on the underlying latent relations that form the common essence between pairs (a,b) and (c,d). The successful PhD candidate will work on computational models which can identify analogies between sentences or even bigger chunks of text with a particular focus on the identification of common latent relations which are also an essential part for an explainable AI. The successful candidate should hold a Master's degree in computational linguistics or computer science or cognitive science and has prior experience in word embedding models or deep learning approaches in general. The candidate should have strong programming skills and expertise in machine learning. The position is affiliated with the IRIT laboratory at Toulouse and there will be frequent interactions with researchers at the Loria laboratory in Nancy in the context of the AT2TA project. Applications will be considered until the position is filled, but applicants are encouraged to apply as early as possible since applications will be considered at the moment of reception. Applications, in English or French, should include a detailed CV, a letter of motivation and at least two recommendation letters. Applications should be sent to Stergos Afantenos (stergos.afantenos at irit.fr). The starting date of the position will be in January 2023, but can be filled earlier if need be. More information can be found here: https://cloud.irit.fr/index.php/s/gegXukURCTNL2ks

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Fully funded PhD position in Multilingual Natural Language Processing (ÚFAL, Charles University, Prague)
by Jindrich Libovicky 06 Oct '22

06 Oct '22

We seek a PhD student to work with Jindřich Libovický on a 4-year project focusing on a better understanding of multilingual language representations, improving their language neutrality and language coverage. The prospective PhD thesis topics are: * Multimodality (images and video) for improving language neutrality of multilingual representations and for enabling multilingual multimodal tasks. * Study if and how cultural aspects of meaning (e.g., moral values) are encoded in the representations and methods to make multilingual more culture aware. Institute of Formal and Applied Linguistics (ÚFAL) has an active community working on cutting-edge natural language processing. There will be significant interaction with the other researchers at the institute, especially the groups of Ondřej Bojar, Daniel Zeman, Pavel Pecina, Zdeněk Žabokrtský, and Jan Hajič. Charles University is the top-ranking university in Czechia, attracting strong talents locally and internationally. If you are interested in applying please send me: * A cover letter (clearly indicate which position you are applying for and include possible starting dates); * A CV; * A short research plan addressing past, current, and future interests; * A brief statement of teaching experience and interest; * The names and addresses of two references. The working language is English, no knowledge of Czech is required. Candidates with a strong background in natural language processing and machine learning are preferred, but other backgrounds are also welcome. Please submit your applications by October 20th, 2022 via email to <my_surname> at ufal dot mff dot cuni dot cz. The expected starting data is March 1, 2023. Thanks, Jindřich Libovický ------ Charles Univeristy, Institute of Formal and Applied Linguistics Malostranské náměstí 25 118 00 Praha Czech Republic Email: <my_surname> at ufal dot mff dot cuni dot cz Web: https://ufal.mff.cuni.cz/jindrich-libovicky

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CFP - quantitative linguistics conference QUALICO 2023
by Adam Pawłowski 05 Oct '22

05 Oct '22

Dear Colleagues, Please find below an invitation to the conference of quantitative linguistics QUALICO 2023. Best regards, Adam Pawłowski Call for Papers Submission Deadline : January 8th, 2023 ________________________________ QUALICO 2023 Lausanne, Switzerland, June 28-30, 2023 https://www.unil.ch/qualico2023/ The 12th International Quantitative Linguistics Conference will take place in Lausanne, Switzerland, on June 28-30, 2023. QUALICO 2023 is organized by the International Quantitative Linguistics Association (IQLA)<http://www.iqla.org/index.html> and the Department of Language and Information Sciences (SLI)<https://www.unil.ch/sli/home.html> at the University of Lausanne (UNIL). Topics All contributions relating to quantitative linguistics and text analysis are welcome. We particularly encourage submissions on: * Descriptions of all aspects of language and text phenomena, including psycholinguistics, sociolinguistics, dialectology, pragmatics, language typology, language acquisition, language evolution, usage-based approaches, information science, etc., insofar as they use quantitative mathematical methods (probability theory, stochastic processes, differential and difference equations, multidimensional analysis, fuzzy logics and set theory, function theory, etc.). * Applications of methods, models, or findings from quantitative linguistics to problems of natural language processing, text classification, stylistics, authorship attribution, language teaching, scientometrics, bibliometrics, text mining, language complexity and complex network analysis. * Methods of linguistic measurement, model construction, sampling and test theory. * Epistemological issues relevant to quantitative linguistics such as explanation of language and text phenomena, contributions to theory construction, systems theory, philosophy of science. Oral and Poster Sessions Presentations should be in English. Each paper will be allotted 30 minutes (20 minutes of presentation and 10 minutes of discussion). There will also be a poster session. Multiple Works by the Same Author The maximum number of submissions by the same author or co-author is two papers. Submissions exceeding this threshold will be automatically deleted without notification. Submission of Abstracts The submission of an abstract will be via EasyChair https://easychair.org/conferences/?conf=qualico2023 Abstracts must be in English and should include keywords, authors affiliations and references. They should not exceed 500 words (excluding keywords, authors affiliations and references) and 2 pages all included. The requested format for submission is PDF. The deadline for submission is January 8th 2023, 11:59:59 pm (GMT). Notification of Acceptance Notification of acceptance will be sent to the contact author by February 28th 2023. Conference Volume We will invite authors of accepted abstracts to submit full papers for publication in the conference volume, which will be proposed for publication with a leading publisher. Participation Fees Participation fees must be paid before April 30th, 2023. The fees are: * Regular: 250€ * IQLA Member: 150€ Participation fees include: * An abstract book for the conference. * Conference volume of full papers. * One lunch break meal voucher and 2 coffee break vouchers for every day. For participants interested in the special social event, an extra fee will be added (still to be determined). Conference Venue Anthropole, UNIL-Chamberonne. 1015 Chavannes-près-Renens, SWITZERLAND https://goo.gl/maps/d6QtQM2SCzRTutAG9 The conference will take place on-site unless the sanitary situation in June 2023 requires switching to a remote, online modality. Contact qualico2023(a)unil.ch<mailto:qualico2023@unil.ch> For further details, visit the conference webpage: https://www.unil.ch/qualico2023/ Scientific Committee François Bavaud, University of Lausanne Radek Cech, University of Ostrava Xinying Chen, Xi'an Jiaotong University Sheila Embleton, York University Guillaume Guex, University of Lausanne Emmerich Kelih, University of Vienna Ján Mačutek, Slovak Academy of Sciences & Constantine the Philosopher University in Nitra Coline Métrailler, University of Lausanne George Mikros, Hamad Bin Khalifa University Hermann Moisl, University of Newcastle Adam Pawłowski, University of Wrocław Haruko Sanada, Rissho University Benjamin Storme, University of Lausanne Arjuna Tuzzi, University of Padua Aris Xanthos, University of Lausanne Organizing Committee François Bavaud, Guillaume Guex, Coline Métrailler, Stéphanie Pichot, Benjamin Storme, and Aris Xanthos. Please read IQLA’s position regarding the war in Ukraine<http://www.iqla.org/iqla_ua.html>

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CFP - Journal Procesamiento del Lenguaje Natural - issue 70
by Eugenio Martínez Cámara 05 Oct '22

05 Oct '22

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** *Call for papers for the issue 70 of the journal Procesamiento del Lenguaje Natural* http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines *Introduction* The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews and summaries of PhD theses. The scientific quality of the Journal is supported by the 2021 JCR index (JCI: 0.21, Q4-Linguistics - ESCI), the SCImago Journal Ranking (SJR: 0.217, Q4-Computer Science Applications, Q2-Linguistics and Language), the Scopus Index (CiteScore: 1.5, Q4-Computer Science Applications, Q2-Linguistics and Language) and the index SNIP (Source Normalized Impact per Paper) with 0.37 points. More information at: http://www.sepln.org/en/journal/quality. *Topics* * Linguistic, mathematical and psycholinguistic models of language * Machine learning in NLP * Computational lexicography and terminology * Corpus linguistics * Development of linguistic resources and tools * Grammars and formalisms for morphological and syntactic analysis * Semantics, pragmatics and discourse * Word sense disambiguation * Monolingual and multilingual text generation * Machine translation * Knowledge and common sense * Multimodality * Speech synthesis and recognition * Dialogue systems and interactive systems/ Conversational assistants * Audio indexing and retrieval * Monolingual and multilingual information extraction and retrieval * Question answering systems * Evaluation of NLP systems * Automatic textual content analysis * Sentiment analysis, opinion mining and argument mining * Plagiarism detection * Negation and speculation processing * Text mining in blogosphere and social networks * Text summarization * Text simplification * Image retrieval * NLP in biomedical domain * NLP-based generation of teaching resources * NLP for languages with limited resources * NLP industrial applications * Low-resource NLP tasks, data augmentation *Submission Information* The proposal must be submitted by *December 2nd, 2022* and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the Myreview system available at: *http://myreview.sepln.org/myreview-sepln70*. Submitted papers will be subjected to a blind review by at least three members of the program committee. *Categories of papers* * Regular papers with original contributions. * Summary of PhD thesis. *Information for Authors* The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: * The title of the communication (in English and Spanish). * An abstract in English and Spanish (maximum 150 words). * A list of keywords or related topics (in English and Spanish). * The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines *Note on camera ready* The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. *Preprint policy* The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. *Important dates* * Submission deadline: 2 December 2022 * Notification of acceptance: 31 January 2023 * Camera ready: 6 February 2023 * Publication: March 2023 Contact person: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. *Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 70.* *http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores* *Objetivos de la revista* La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2021 (JCI: 0,21, Q4-Linguistics - ESCI), el índice SCImago Journal Ranking (SJR: 0,217, Q4-Computer Science Applications, Q2-Linguistics and Language), el índice de Scopus (CiteScore: 1,5, Q4-Computer Science Applications, Q2-Linguistics and Language) y el índice SNIP (Source Normalized Impact per Paper) con 0,37 puntos. Más información en http://www.sepln.org/la-revista/calidad. *Áreas temáticas* * Modelos de lenguaje matemáticos y psicolingüísticos * Aprendizaje automático en PLN * Lexicografía y terminología computacional * Lingüística de corpus * Desarrollo de recursos y herramientas lingüísticas * Gramáticas y formalismos para análisis morfológico y sintáctico * Semántica, pragmática y discurso * Resolución de ambigüedad léxico-semántica * Generación de texto monolingüe y multilingüe * Traducción automática * Multimodalidad * Reconocimiento y síntesis de habla * Sistemas de diálogo/ asistentes conversacionales * Auto-indexación * Recuperación y extracción de información monolingüe y multilingüe * Sistemas de búsqueda de respuestas * Evaluación de sistemas de PLN * Análisis automático de contenido textual * Análisis de sentimiento y minería de opiniones * Detección de plagio * Procesamiento de la negación y la especulación * Minería de texto en la blogosfera y las redes sociales * Resumen automático de texto * Simplificación de texto * Recuperación de imágenes * Conocimiento y sentido común * PLN en el ámbito biomédico * Generación de recursos didácticos basada en PLN * PLN para lenguas con recursos limitados * Aplicaciones industriales del PLN * Tratamiento del Lenguaje Hablado *Envío de trabajos* Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del *2 de diciembre de 2022*. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema Myreview: *http://myreview.sepln.org/myreview-sepln70/*. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. *Tipos de trabajos* * Artículos sobre contribuciones originales. * Reseñas de tesis doctorales. *Instrucciones para los Autores* Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: * El título del artículo (en español e inglés). * Un resumen en español y un abstract en inglés de un máximo de 150 palabras. * Un listado de temas relacionados o palabras clave (en español e inglés). * Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. *Nota sobre la versión final* La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. *Política de prepublicación* La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. *Fechas importantes* * Envío de trabajos: 2 de diciembre de 2022 * Notificación de aceptación o rechazo: 31 de enero de 2023 * Versión final: 6 de febrero de 2023 * Publicación: Marzo de 2023 Persona de contacto: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Consejo de redacción de la revista Procesamiento del Lenguaje Natural. Un saludo, Eugenio. -- Eugenio Martínez Cámara Profesor Ayudante Doctor | Junior Lecturer DaSCI, Instituto Andaluz de Inteligencia Artificial | DaSCI, Andalusian Institute in Artificial Intelligence. Dpto. Ciencias de la Computación e Inteligencia Artificial | Computer Science and Artificial Intelligence department. Universidad de Granada

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CFP - Journal Procesamiento del Lenguaje Natural - issue 70
by Eugenio Martínez Cámara 05 Oct '22

05 Oct '22

[Spanish version below] Please consider contributing and/or forwarding to appropriate colleagues and groups. *******We apologize for the multiple copies of this e-mail****** *Call for papers for the issue 70 of the journal Procesamiento del Lenguaje Natural* http://www.sepln.org/en/journal http://www.sepln.org/en/journal/author-guidelines *Introduction* The aim of the journal Procesamiento del Lenguaje Natural is to provide a forum for the publication of scientific-technical articles in the field of Natural Language Processing (NLP), for both the national and international scientific community. The articles must be unpublished and cannot be simultaneously submitted for publication in other journals or conference proceedings. The journal also aims to promote the development of areas related to NLP, disseminate research carried out, identify future guidelines for basic research, and present software applications in this field. Every year the Sociedad Española de Procesamiento del Lenguaje Natural (SEPLN) (Spanish Society for the Natural Language Processing) publishes two issues of the journal, including original articles, presentations of R&D projects, book reviews and summaries of PhD theses. The scientific quality of the Journal is supported by the 2021 JCR index (JCI: 0.21, Q4-Linguistics - ESCI), the SCImago Journal Ranking (SJR: 0.217, Q4-Computer Science Applications, Q2-Linguistics and Language), the Scopus Index (CiteScore: 1.5, Q4-Computer Science Applications, Q2-Linguistics and Language) and the index SNIP (Source Normalized Impact per Paper) with 0.37 points. More information at: http://www.sepln.org/en/journal/quality. *Topics* * Linguistic, mathematical and psycholinguistic models of language * Machine learning in NLP * Computational lexicography and terminology * Corpus linguistics * Development of linguistic resources and tools * Grammars and formalisms for morphological and syntactic analysis * Semantics, pragmatics and discourse * Word sense disambiguation * Monolingual and multilingual text generation * Machine translation * Knowledge and common sense * Multimodality * Speech synthesis and recognition * Dialogue systems and interactive systems/ Conversational assistants * Audio indexing and retrieval * Monolingual and multilingual information extraction and retrieval * Question answering systems * Evaluation of NLP systems * Automatic textual content analysis * Sentiment analysis, opinion mining and argument mining * Plagiarism detection * Negation and speculation processing * Text mining in blogosphere and social networks * Text summarization * Text simplification * Image retrieval * NLP in biomedical domain * NLP-based generation of teaching resources * NLP for languages with limited resources * NLP industrial applications * Low-resource NLP tasks, data augmentation *Submission Information* The proposal must be submitted by *December 2nd, 2022* and must meet certain format and style requirements. All submissions must be in PDF format and submitted electronically using the Myreview system available at: *http://myreview.sepln.org/myreview-sepln70*. Submitted papers will be subjected to a blind review by at least three members of the program committee. *Categories of papers* * Regular papers with original contributions. * Summary of PhD thesis. *Information for Authors* The proposals can be written in Spanish or English and should be at most 10 A4-size pages of content, plus unlimited pages for references, and 4 pages maximum for summaries of PhD theses. The papers must include the following sections: * The title of the communication (in English and Spanish). * An abstract in English and Spanish (maximum 150 words). * A list of keywords or related topics (in English and Spanish). * The documents must not include headers or footers. As reviewing will be blind, the paper should not include the authors’ names and affiliation. Furthermore, self-references that reveal the author’s identity should be avoided. The articles should only include the title, the abstract, the keywords and the proposal. We recommend using the LaTeX and Word templates that can be downloaded from the SEPLN web (author guidelines have been updated): http://www.sepln.org/index.php/en/journal/author-guidelines *Note on camera ready* The final version of the paper (camera ready) should be submitted together with a cover letter explaining how the suggestions of the reviewers were implemented in the final version. This cover letter will be considered in order to accept or finally reject the selected paper. *Preprint policy* The Journal allows the publication of preprints (non-refereed paper posted online, such as ArXiv) anytime, but during the review period the preprint must indicate that the paper it is “under review” in the Journal Procesamiento del Lenguaje Natural. Likewise, if the paper is accepted, the preprint must be updated with the DOI, name of the Journal and the bibliographic information of the paper. *Important dates* * Submission deadline: 2 December 2022 * Notification of acceptance: 31 January 2023 * Camera ready: 6 February 2023 * Publication: March 2023 Contact person: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Editorial Committee of the Procesamiento del Lenguaje Natural -------------------------------------------------------------------------------------------------------------------- ***********Disculpen si reciben varias copias de este mensaje ************ Por favor, si lo considera oportuno, distribuya este llamamiento entre sus colegas. *Petición de artículos para la revista Procesamiento del Lenguaje Natural nº 70.* *http://www.sepln.org/la-revista http://www.sepln.org/la-revista/informacion-para-autores* *Objetivos de la revista* La revista Procesamiento del Lenguaje Natural es un foro de publicación de artículos científico-técnicos en el ámbito del Procesamiento del Lenguaje Natural (PLN), tanto para la comunidad científica nacional como internacional. Los artículos tienen que ser inéditos y no haber sido postulados para ser publicados simultáneamente en otras revistas o actas de congresos. La revista quiere potenciar el desarrollo de las diferentes áreas relacionadas con el PLN, mejorar la divulgación de las investigaciones que se llevan a cabo, identificar las futuras directrices de la investigación básica y mostrar las posibilidades reales de aplicación en este campo. Anualmente la SEPLN (Sociedad Española para el Procesamiento del Lenguaje Natural) publica dos números de la revista, que incluyen artículos originales, presentaciones de proyectos, reseñas bibliográficas y resúmenes de tesis doctorales. La calidad científica de la Revista está respaldada por el índice del JCR 2021 (JCI: 0,21, Q4-Linguistics - ESCI), el índice SCImago Journal Ranking (SJR: 0,217, Q4-Computer Science Applications, Q2-Linguistics and Language), el índice de Scopus (CiteScore: 1,5, Q4-Computer Science Applications, Q2-Linguistics and Language) y el índice SNIP (Source Normalized Impact per Paper) con 0,37 puntos. Más información en http://www.sepln.org/la-revista/calidad. *Áreas temáticas* * Modelos de lenguaje matemáticos y psicolingüísticos * Aprendizaje automático en PLN * Lexicografía y terminología computacional * Lingüística de corpus * Desarrollo de recursos y herramientas lingüísticas * Gramáticas y formalismos para análisis morfológico y sintáctico * Semántica, pragmática y discurso * Resolución de ambigüedad léxico-semántica * Generación de texto monolingüe y multilingüe * Traducción automática * Multimodalidad * Reconocimiento y síntesis de habla * Sistemas de diálogo/ asistentes conversacionales * Auto-indexación * Recuperación y extracción de información monolingüe y multilingüe * Sistemas de búsqueda de respuestas * Evaluación de sistemas de PLN * Análisis automático de contenido textual * Análisis de sentimiento y minería de opiniones * Detección de plagio * Procesamiento de la negación y la especulación * Minería de texto en la blogosfera y las redes sociales * Resumen automático de texto * Simplificación de texto * Recuperación de imágenes * Conocimiento y sentido común * PLN en el ámbito biomédico * Generación de recursos didácticos basada en PLN * PLN para lenguas con recursos limitados * Aplicaciones industriales del PLN * Tratamiento del Lenguaje Hablado *Envío de trabajos* Las propuestas de trabajos (artículos y resúmenes de tesis) podrán ser enviadas hasta la fecha límite del *2 de diciembre de 2022*. El envío y la revisión de las propuestas se realizarán exclusivamente en formato PDF y se gestionarán a través del sistema Myreview: *http://myreview.sepln.org/myreview-sepln70/*. La evaluación de los trabajos pasará por un proceso de revisión ciego realizado como mínimo por tres miembros del consejo asesor de la SEPLN. *Tipos de trabajos* * Artículos sobre contribuciones originales. * Reseñas de tesis doctorales. *Instrucciones para los Autores* Los trabajos pueden estar escritos en español o en inglés y su longitud máxima será de 10 páginas de contenido más un número ilimitado de páginas de referencias para los artículos científicos, y de un máximo de 4 páginas para los resúmenes de tesis. Las propuestas deben contener los siguientes apartados: * El título del artículo (en español e inglés). * Un resumen en español y un abstract en inglés de un máximo de 150 palabras. * Un listado de temas relacionados o palabras clave (en español e inglés). * Los documentos no podrán incluir cabeceras ni pies de página. Como la fase de revisión de los trabajos es ciega, en los artículos que se envíen no se debe incluir ninguna referencia a los autores ni referencias propias que revelen la identidad de los mismos. Todas las contribuciones deben contener únicamente el título, el resumen, las palabras claves y la propuesta. En el caso de los resúmenes de tesis, el anonimato no es necesario. Los trabajos deben seguir el formato de las revistas de la SEPLN disponible en la siguiente dirección: http://www.sepln.org/la-revista/informacion-para-autores Las guías se han actualizado, por favor, utilicen las que están disponibles en la página web de la revista. *Nota sobre la versión final* La versión final del trabajo (camera ready) debe enviarse con un documento en el que se explique cómo se han implementado las sugerencias de los revisores. Dicho documento se tendrá en cuenta para aceptar o rechazar el trabajo en cuestión. *Política de prepublicación* La revista permite publicar una versión no revisada de los artículos en plataformas de prepublicación (plataformas de artículos no evaluados como ArXiv). Sin embargo, durante el periodo de revisión se debe indicar que el artículo está “en revisión” en la revista Procesamiento del Lenguaje Natural. Si el artículo es aceptado, se debe actualizar la publicación en la plataforma de prepublicación con el DOI, nombre de la revista y la información bibliográfica del artículo. *Fechas importantes* * Envío de trabajos: 12 de diciembre de 2022 * Notificación de aceptación o rechazo: 31 de enero de 2023 * Versión final: 6 de febrero de 2023 * Publicación: Marzo de 2023 Persona de contacto: Eugenio Martínez Cámara (emcamara(a)decsai.ugr.es) Consejo de redacción de la revista Procesamiento del Lenguaje Natural. Un saludo, Eugenio. -- Eugenio Martínez Cámara Profesor Ayudante Doctor | Junior Lecturer DaSCI, Instituto Andaluz de Inteligencia Artificial | DaSCI, Andalusian Institute in Artificial Intelligence. Dpto. Ciencias de la Computación e Inteligencia Artificial | Computer Science and Artificial Intelligence department. Universidad de Granada

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CFP: FLAIRS-36 and ANLP-12 Special Track on Applied Natural Language Processing (ANLP)
by Fazel Keshtkar 05 Oct '22

05 Oct '22

Dear Fellows, Please consider this and spread the words, our ANLP Special Track and Flairs-36 conference and many other great special tracks are open to submit: *Important dates:* - Mandatory Abstract Due: Feb 6, 2023 - Full paper Submission Due: Feb 13 , 2023 - Conference Dates: May 14-17, 2023 - Location: ClearWater Beach, Florida, USA More information: ANLP: https://sites.google.com/view/flairs-anlp/anlp-2023 Flairs-36: https://www.flairs-36.info/home Please contact me if you have any questions about flairs-35! Thank you! -Fazel ******************************************************* Fazel Keshtkar, PhD., Associate Professor St John's University, Dept. of Computer Science 8000 Utopia Parkway, Queens, NY 11439 Email: keshtkaf(a)stjohns.edu Web: https://sites.google.com/view/fazel/

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Final call (deadline extension): EAMT Sponsorship of Activities (Students' edition) for 2023 (NEW deadline 21/10/2022)
by Carol Scarton 05 Oct '22

05 Oct '22

************************************************************** EAMT Sponsorship of Activities (Students' edition) for 2023 Deadline: 21/10/2022 ************************************************************** == Call for Proposals == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is for the third consecutive year launching a call for proposals to fund MT-related activities led by students during 2023. == Purpose of the Call == The EAMT is planning to support various MT activities such as shared tasks, workshops, teaching and awareness initiatives, open-source initiatives, dataset creation and small research and development projects by its current student members. The EAMT particularly welcomes proposals from students in all levels of education, including undergraduates, postgraduates and PhD students. This call will also give priority to projects that extend work done during the Machine Translation Marathon 2022 (https://ufal.mff.cuni.cz/events /mt-marathon-2022), being held in Prague, Czech Republic from 5 to 10 September 2022. Topics of interest include, but are not limited to: - Recent developments in MT research. - MT evaluation methodology, metrics and results. - Launch of MT-specific evaluation campaigns. - New or prospective commercial users of MT technology. - MT environments (workflow, support tools, etc.). - Interaction between users and MT systems. - MT combined with other technologies (translation memories, speech translation, cross-language information retrieval, multilingual text categorization, multilingual text summarization, etc.). - MT for less-resourced languages: development, usage, etc. - MT in the social internet: new uses, new modes of development. - MT for crisis management. - Training events on MT, particularly on recent developments. - Events to disseminate MT, especially to the wider public (including shared tasks). - Creation of datasets for MT research. All proposals will be screened by a review committee that consists of EAMT Executive Committee members and possibly a few appointed external experts if necessary. == Submission information == * Eligibility requirements * In order to qualify for funding, the individual making the proposal must be a confirmed student member of the EAMT at submission time (Membership information: http://www.eamt.org/membership.php). Applicants will also need formal approval from their supervisor. It is important to emphasise that projects are expected to be student-led. Therefore, although we welcome projects showing collaboration with industry and other academic partners, the project is expected to directly benefit the students own career and/or project. * Selection criteria * - The proposed activity should be of direct interest to the MT community at large: researchers, developers, vendors, translators and/or users of MT technologies. - The proposal shall clearly describe the purpose of the project and include measurable mid-project milestones for which a report should be submitted (see below). - Preference will be given to projects which by nature will involve and be beneficial for several persons, as for instance conferences, seminars, workshops, shared tasks and tutorials. - Proposals with a significant, clearly identified impact on the MT community (through the development, dissemination or use of project results) are those most likely to be accepted. - Proposals that bring together different aspects of MT will be especially valued. - The proposal should be clearly justified as being technically and/or scientifically sound. - The quality and efficiency of the implementation of the proposal will be evaluated. - The budget should be adequate for the proposed objectives and the actual implementation of the activity. == Budget == EAMT anticipates funding several proposals for various activities. The total foreseen EAMT Budget for this call is around €4,000 to cover all granted projects. The maximum amount EAMT can grant for a single project will be €4,000. During the negotiation stage, budget adjustments may be required by the EAMT executive committee. This means that the EAMT may only offer to partially fund a project. A project being granted financial support by EAMT according to this call will receive 50% of the granted amount at the start of the project. The proposer will receive the remaining 50% when the mid-project progress report has been received by the EAMT Secretary and substantiates that the mid-project milestones are met, and furthermore provided that the proposer is still a current member of the EAMT. == Contact for enquiries == Carolina Scarton EAMT Secretary e-mail: c.scarton(a)sheffield.ac.uk == Submission procedure == * Overview * Candidates should submit their proposals as a single PDF file, written in English, that is composed of the elements described below. - Proposal description: 2-page maximum - Person/organisation experience: 1-page maximum - Budget and project planning overview: 1-page maximum - Supervisor's letter of approval: 1-page maximum Proposals should be submitted no later than the deadline (see Important Dates below) through EasyChair: https://easychair.org/conferences/?conf=eamt2023 (Submission type: Project Proposals). Authors are encouraged to use the template available at http://www.eamt.org/eamt2020-projects.zip. Templates for both LaTeX and Microsoft Word are available. * Detailed description of sections of the proposal * 1-) Proposal summary (two pages) in English - Complete contact information of the candidate. - A clear and detailed description of the proposed event or activity. - A statement on why this event or activity would be helpful for the community and the development of your studies (you should establish a clear connection between this activity and your degree project). - A statement justifying why EAMT should support this event or activity. 2-) Experience of the proposing person in the field (up to one page) - It may include a list of experience and related skills of the participants of the team (your team may be composed by your supervisors and potential collaborators). 3-) Budget and project planning overview (up to one page) - A breakdown of the costs estimated for the entire activity or event. - Clear milestones and deliverables must be indicated. - An identification of the support requested from EAMT and possible other supporting funds. 4-) Supervisor's letter of approval (up to one page) - A letter from your supervisor stating that they approve your project submission and that they will act as fund manager if needed (please note that EAMT needs to make payments into a research account set up at your institution). == Important Dates == - Circulation of the Call: August 1, 2022 - Submission deadline for proposals: * October 21, 2022, 23:59 CEST * - Acceptance notifications and negotiations to start on: * December 16, 2022 * In case of acceptance: - Mid-project progress report due: June 30, 2023, 23:59 CEST - Final report and deliverables due: January 31, 2024, 23:59 CET == Additional provisions == - Only complete proposals will be reviewed. - All information submitted with proposals will be regarded as confidential and will only be used in the context of this project. - Following the recommendations from the reviewers and EAMT executive members, projects may be approved with amendments that will be discussed during the negotiation stage. - The funded projects may be required to report at the EAMT events (e.g. Poster at the EAMT conference, a short progress report for the General assembly, etc.). If you think you will not have funds for attending the EAMT event you can add travel costs to your budget. - The EAMT should be acknowledged in all materials related to the project, activity or initiative. == No obligation to award the proposal == The EAMT shall be under no obligation to fund the proposals pursuant to this call for proposals. EAMT shall not be liable for any compensation with respect to candidates whose proposals have not been accepted. Nor shall it be liable in the event of it deciding not to award the proposal. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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Final call (deadline extension): EAMT Sponsorship of Activities for 2023 (NEW deadline 07/10/2022)
by Carol Scarton 05 Oct '22

05 Oct '22

************************************************************** EAMT Sponsorship of Activities for 2023 Deadline: 07/10/2022 ************************************************************** == Call for Proposals == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is for the eleventh consecutive year launching a call for proposals to fund MT-related activities during 2023. == Purpose of the Call == The EAMT is planning to support various MT activities such as tutorials, workshops, teaching and awareness initiatives, open-source initiatives, and small research and development projects by its current members. The EAMT particularly encourages proposals from early career researchers. Topics of interest include, but are not limited to: - Recent developments in MT research. - MT evaluation methodology, metrics and results. - Launch of MT-specific evaluation campaigns. - New or prospective commercial users of MT technology. - MT environments (workflow, support tools, etc.). - Interaction between users and MT systems. - MT combined with other technologies (translation memories, speech translation, cross-language information retrieval, multilingual text categorization, multilingual text summarization, etc.). - MT for less-resourced languages: development, usage, etc. - MT in the social internet: new uses, new modes of development. - MT for crisis management. - Training events on MT, particularly on recent developments. - Events to disseminate MT, especially to the wider public. All proposals will be screened by a review committee that consists of EAMT Executive Committee members and possibly a few appointed external experts if necessary. == Submission information == * Eligibility requirements * In order to qualify for funding, the institution(s) or the individual making the proposal must be a confirmed member of the EAMT at submission time. Membership information: http://www.eamt.org/membership.php * Selection criteria * - The proposed activity should be of direct interest to the MT community at large: researchers, developers, vendors, translators and users of MT technologies. - The proposal shall clearly describe the purpose of the project and include measurable mid-project milestones for which a report should be submitted (see below). - Preference will be given to projects which by nature will involve and be beneficial for several persons, as for instance conferences, seminars, workshops and tutorials. - Proposals with a significant, clearly identified impact on the MT community (through the development, dissemination or use of project results) are those most likely to be accepted. - Proposals that bring together different aspects of MT will be especially valued. - The proposal should be clearly justified as being technically and/or scientifically sound. - The quality and efficiency of the implementation of the proposal will be evaluated. - The budget should be adequate for the proposed objectives and the actual implementation of the activity. == Budget == EAMT anticipates funding several proposals for various activities. There are two categories of proposals. The member institutions’ category and the individual members’ category. The total foreseen EAMT Budget for this call is around €10,000 to cover all granted projects. The maximum amount EAMT can grant for a single project will be €10,000. During the negotiation stage, budget adjustments may be required by the EAMT executive committee. This means that the EAMT may only offer to partially fund a project. A project being granted financial support by EAMT according to this call will receive 50% of the granted amount at the start of the project. The proposer will receive the remaining 50% when the mid-project progress report has been received by the EAMT Secretary and substantiates that the mid-project milestones are met, and furthermore provided that the proposer is still a current member of the EAMT. == Contact for enquiries == Carolina Scarton EAMT Secretary e-mail: c.scarton(a)sheffield.ac.uk == Submission procedure == * Overview * Candidates should submit their proposals as a single PDF file, written in English, that is composed of the elements described below. - Proposal description: 2-page maximum - Person/organisation experience: 1-page maximum - Budget and project planning overview: 1-page maximum Proposals should be submitted no later than the deadline (see Important Dates below) through EasyChair: https://easychair.org/conferences/?conf=eamt2023 (Submission type: Project Proposals). Authors are encouraged to use the template available at http://www.eamt.org/eamt2020-projects.zip. Templates for both LaTeX and Microsoft Word are available. * Detailed description of sections of the proposal * 1-) Proposal description (two pages) in English - Complete contact information of the candidate. - A clear and detailed description of the proposed event or activity. - A statement on why this event or activity would be helpful for the community. - A statement justifying why EAMT should support this event or activity. 2-) Experience of the proposing person/organisation in the field (up to one page). - It may include a list of experience and related skills of the participants of the team. 3-) Budget and project planning overview (up to one page) - A breakdown of the costs estimated for the entire activity or event. - Clear milestones and deliverables must be indicated. - An identification of the support requested from EAMT and possible other supporting funds. == Important Dates == - Circulation of the Call: August 1, 2022 - Submission deadline for proposals: October 21, 2022, 23:59 CEST - Acceptance notifications and negotiations to start on: December 16, 2022 In case of acceptance: - Mid-project progress report due: June 30, 2023, 23:59 CEST - Final report and deliverables due: January 31, 2024, 23:59 CET == Additional provisions == - Only complete proposals will be reviewed. - All information submitted with proposals will be regarded as confidential and will only be used in the context of this project. - Following the recommendations from the reviewers and EAMT executive members, projects may be approved with amendments that will be discussed during the negotiation stage. - The funded projects may be required to report at the EAMT events (e.g. Poster at the EAMT conference, a short progress report for the General assembly, etc.), without any claim for additional funds. - The EAMT should be acknowledged in all materials related to the project, activity or initiative. == No obligation to award the proposal == The EAMT shall be under no obligation to fund the proposals pursuant to this call for proposals. EAMT shall not be liable for any compensation with respect to candidates whose proposals have not been accepted. Nor shall it be liable in the event of it deciding not to award the proposal. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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CL2023 (Lancaster) - Call for papers
by Brezina, Vaclav 05 Oct '22

05 Oct '22

Dear all, We have just opened a call for papers for the Corpus Linguistics 2023 conference (CL2023), which will take place at Lancaster University, the UK, from Monday 3rd July 2023 to Thursday 6th July 2023. The main conference will be preceded by a workshop day on Sunday 2nd July. We invite abstract submissions for papers, posters and panel presentations; we also welcome submission of abstracts for half-day (3h) pre-conference practical workshops. More details can be found at: https://www.lancaster.ac.uk/cl2023/call-for-papers/ Deadline for submissions: 6th January 2023. We hope to see you at Lancaster next year! Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [8ED5AC37]@vaclavbrezina [B213DA5D]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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Call for Submissions: ECIR 2023 Doctoral Consortium
by Ashlee Edwards 04 Oct '22

04 Oct '22

Hello all: I'm excited to announce the call for submissions for the Doctoral Consortium at ECIR 2023 in Dublin, Ireland. The Doctoral Consortium (DC) at ECIR 2023 will provide a forum for PhD students in the field of Information Retrieval to present their research and thesis proposal to world-class senior researchers from academia and industry. Students will receive feedback on their work and have the opportunity to engage in detailed discussion with advisors through individual sessions. The DC also gives students an opportunity to meet and share their experiences of PhD research with other students at a similar stage of their studies. We welcome submissions on any topic relevant to the general field of information retrieval, including those mentioned in the Call for Full Papers <https://ecir2023.org/papers.html?v=1.7> for ECIR 2023. Example topics of interest include — but are not limited to — theory, experimentation, practice, applications and societal impacts of retrieval, recommendation, representation, management, and usage of textual, visual, audio, and multi-modal information. *All candidates planning a submission must submit a preliminary Expression of Interest by November 6, 2022.* Please find more information and submission instructions here <https://ecir2023.org/home.html>. Thank you! Ashlee Edwards, Ph.D. Co-Chair, Doctoral Consortium ECIR 2023

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Fwd: I International Seminar on Translation Studies (4-25 october and 7-10 november 2022)
by julia.lavid julia.lavid 04 Oct '22

04 Oct '22

> ---------- Mensaje original ---------- > De: JULIA LAVID LOPEZ <lavid(a)FILOL.UCM.ES> > Para: SYSFLING(a)JISCMAIL.AC.UK > Fecha: 30/09/2022 17:23 > Asunto: I International Seminar on Translation Studies (4-25 october and 7-10 november 2022) > > > > > > Dear professors and graduate student colleagues, > > As part of the research activities of the Instituto de Lenguas Modernas y Traductores at Universidad Complutense Madrid, we have organised the I International Postgraduate Seminar on Translation Studie <https://www.ucm.es/iulmyt/seminarios>s, consisting of talks by well-known specialists in different areas of translation. All talks will be online except the one by Jordi Doce which will be offered in hybrid format. > > > > > > Registration is free and will be carried out by filling in the separate forms for each of the talks. Registered participants will receive an email with a Google Meet link to access each of the talks. > > Organising committee: Julia Lavid, Jorge Braga, Marta Guirao, Esther Sánchez-Pardo y Juan Rafael Zamorano > > > > > ------------------------------------------- > > > WEBPAGE at: https://www.ucm.es/iulmyt/seminarios > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > * Translation as systemic choice in the recreation of meaning in context: Exploration of source and target language systemic options within different registers <https://www.ucm.es/iulmyt//christian-matthiessen> > > Prof. Christian M.I.M. Matthiessen, visiting Universidad Complutense > > 4 de Octubre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration at: https://forms.gle/2vW3H9NoMr7PFeZF7 > > > > > > * The Challenges of Theatre Translation <https://www.ucm.es/iulmyt//tamzin-townsend> > > Tamzin Townsend, traductora y directora teatral > > 11 de octubre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration : https://forms.gle/982fo6MVDhHmNDCZ6 > > > > > > * > Neural Machine Translation: A Whistle-Stop Tour <https://www.ucm.es/iulmyt/dorothy-kenny> > > > Prof. Dorothy Kenny, Dublin City University > > 18 de octubre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration https://forms.gle/5QKbiivPe5WWwkRD9 > > > > > > * When qualitative meets quantitative: news translation, categorization, and corpora <https://www.ucm.es/iulmyt//federico-zanettin> > > Prof. Federico Zanettin, Università degli studi di Perugia > > 24 de octubre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration https://forms.gle/HQCX2RiCXc66wUTn7 > > > > > > * La pragmática y sus retos en la traducción > Dr. Carlos de Pablos, University of East Anglia > > 25 de octubre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration https://forms.gle/WF9fBP1Ch8QCCzYk9 > > > > > > * > El idioma como barrera o como puente: el problema de las variantes regionales y las fronteras internas del español en el mundo del libro > > Mercedes Guhl, traductora editorial independiente > > 7 de noviembre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration https://forms.gle/iKeHPn2p2Fnw71fTA > > > > > > * A Construction Grammar Perspective on Translation Studies <https://www.ucm.es/iulmyt//tatiana-serbina> > > Dr. Tatiana Serbina, Aachen University > > 8 de noviembre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration https://forms.gle/GgKq2rMx3XV8xgJXA > > > > > > * Traducción poética > Jordi Doce, traductor y poeta > > 10 de noviembre, 17:00 (Madrid time) / 16:00 (UK time) > > Inscripción/ registration https://forms.gle/ufwZTK9vHGPSTtAt6 > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > <http://www.ucm.es/logo/ucm.png> > > > Prof. Dra. Julia Lavid López > Directora del Instituto Universitario de Lenguas Modernas y Traductores (UCM) > Catedrática (Full Professor) de Filología Inglesa > > Departamento de Estudios Ingleses: Lingüística y Literatura > Facultad de Filología -Universidad Complutense > 28040 Madrid > > > > https://www.ucm.es/departamento-estudios-ingleses-linguistica-y-literatura/… > > > > > > > > > > > > > > > > --------------------------------------------- > > To unsubscribe from the SYSFLING list, click the following link: > https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=SYSFLING&A=1 >

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WEFE: The Word Embeddings Fairness Evaluation Framework
by Felipe Bravo 03 Oct '22

03 Oct '22

Dear all, We are pleased to inform you that a new version of WEFE has been released: The Word Embeddings Fairness Evaluation Framework. WEFE is an open source library for measuring and mitigating bias in word embedding models. The main goal of the library is to provide a ready-to-use tool that allows the user to run bias measures and mitigation methods in a straightforward manner through well-designed and documented interfaces. The new version implements of various debiasing algorithms (e.g., HardDebias, Repulsion Attraction Normalization, Half-Sibling Regression) in addition to various the already implemented fairness metrics (e.g., WEAT, RND, RNSB). We invite you to try it out at: https://wefe.readthedocs.io/en/latest/index.html and "Star" the project on Github: https://github.com/dccuchile/wefe We appreciate your feedback and suggestions. Bests, Felipe Bravo-Marquez https://felipebravom.com/

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Call for participation: Multimodal Understanding of Smells in Texts and Images (MUSTI) @ MediaEval 2022
by ali hürriyetoglu 03 Oct '22

03 Oct '22

Dear all, We are offering a task on Multimodal Understanding of Smells in Texts and Images (MUSTI) within the MediaEval benchmark on detection of smell oriented relations in historical images and historical texts in English, French, German, and Italian. Our focus is on determining whether an image and text refer to the same smell source(s) and what are the smell sources make this pair related. The data sets contain several thousand pairs of images and texts that have been annotated by native speakers who are experts in olfactory information processing. Registration to participate is now open and submissions will be due in mid November (the deadline for submission to be adjusted). You will have the chance to present your work at the 13th Annual MediaEval Workshop 12-13 January 2023, which is collocated with MMM 2023 in Bergen, Norway, with remote participation also possible. More information on MUSTI task can be found here: https://multimediaeval.github.io/editions/2022/tasks/musti/ More information about MediaEval and the link to the registration page is here. https://multimediaeval.github.io/editions/2022/ We would like to invite you to participate in this task. Please let us know if you have any questions. We are looking forward to hearing from you! Best regards, Ali Hürriyetoğlu (on behalf of organizing committee)

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2 PhD Positions in NLP and Semantic Modelling
by Yoan 03 Oct '22

03 Oct '22

Dear researcher, Would you like to be part of a very active team in NLP, doing your PhD, and at the same time enjoy a very good climate in Alicante? This is your chance! *Here is the access to the details: https://www.boua.ua.es/es/acuerdo/29241 <https://www.boua.ua.es/es/acuerdo/29241> * The GPLSI research group(https://gplsi.dlsi.ua.es/) of the University of Alicante offers two PhD positions to be part of the project "NL4dismis: Natural language technologies to deal with disinformation and disinformation", for 4 years. *The project objectives and outcomes are:* • Study and characterization of language models focused on user profiles: Construction of resources and use of technologies for machine learning. Learning of discriminatory models for user profiles. • Creation of a universal language model: inclusive, egalitarian and accessible language model that allows the fusion of language models focused on user profiles, guaranteeing the balance between them, and eliminating discriminatory approaches. • Development of recovery techniques and classification of relevant information for a society that is inclusive, egalitarian and accessible, enabling information search according to user profiles based on their linguistic needs. • Development of techniques for the identification and correction of discriminatory language according to the profile models. • Development of techniques for language transformation and generation adapted to the user's profile. *Keywords*: NLP, Fake News, Semantic Analysis, Language Modelling, Knowledge Graphs, Ontologies, Information Extraction We look forward to having you in Alicante... Best regards, PS. Do not hesitate to contact me for any questions or help. -- ................. Yoan Gutiérrez Vázquez PhD. Lecturer Department of Software and Computing systems, University of Alicante Bio: http://ygutierrez.gplsi.es/

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PhD Position in Document-Level MT Human Evaluation (Dublin City University) - deadline approaching
by Sheila Castilho M de Sousa 03 Oct '22

03 Oct '22

*apologies for cross posting* We are looking for a PhD student in the area of the are of *MT Human Evaluation* at the ADAPT Centre and the School of Applied Language and Intercultural Studies in Dublin City University, Ireland. The student will be supervised by Dr Sheila Castilho and Dr Maja Popovic. *Application deadline:* 14th of October 2022 *Minimum qualifications:* - Bachelors in Translation, Linguistics, Natural Language Processing, or related fields, *with some knowledge of Machine Translation evaluation*. - English language requirements for non-native speakers of English is available here, under Post Graduate>>Faculty of Humanities and Social Science: https://www.dcu.ie/registry/english-language-requirements-non-native-speake… *Preferred qualifications:* - Masters in Translation Technologies, Machine Translation, Natural Language Processing or related fields. - Experience with machine translation evaluation. *Application Process:* As part of your application you will be required to submit: - A letter of introduction (max 1500 words). In the letter, applicants should include the following details: - An explanation of your interest in this research, highlighting why you think you are a suitable candidate. - Highlight any experience you have with machine translation evaluation, or any other relevant experience e.g., working as a translator/linguist, MT developer, or any relevant projects in the area. - Details of your final year undergraduate project (if applicable), and or of your MSc project (if applicable). - Details of any relevant modules previously taken, at undergraduate and/or Master level. - Details of any relevant work experience (if applicable) - Detailed CV, including – if applicable – relevant publications; - Transcripts of degrees *Enquiries*: sheila.castilho(a)dcu.ie More details and application form can be found here: https://www.adaptcentre.ie/careers/phd-in-document-level-human-evaluation-o… *----* *Sheila Castilho* Ollamh Cúnta | Scoil na dTeangacha Feidhmeacha & Staidéar Idirchultúrtha | Ollscoil Chathair Bhaile Átha Cliath Assistant Professor | School of Applied Language and Intercultural Studies | Dublin City University ADAPT Centre - Tel: + 353 1 700 5832 -- __ Séanadh Ríomhphoist/_ Email Disclaimer__ ** Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://www.dcu.ie/iss/seanadh-riomhphoist.shtml> <https://www4.dcu.ie/iss/seanadh-riomhphoist.shtml>* _ This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://www.dcu.ie/iss/email-disclaimer.shtml> _ *_

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Final Call for Papers Global WordNet Conference 2023 - Deadline extension
by Begoña Altuna 03 Oct '22

03 Oct '22

Final Call for Papers Global WordNet Conference 2023 - Deadline extension [Apologies for cross posting] Call for Papers 12th International Global Wordnet ConferenceDonostia / San Sebastian, Basque Country January 23-27, 2023 Global Wordnet Association: www.globalwordnet.org Conference website: https://hitz.eus/gwc2023 The Global Wordnet Association is pleased to announce the 12th International Global Wordnet Conference (GWC2023) in Donostia / San Sebastian (Spain) hosted by HiTZ, Basque Center for Language Technology at the University of the Basque Country. NOTE: COVID-19 allowing, the conference will be in person only. Organisers: Begoña Altuna, Itziar Aldabe, Xabier Arregi, Itziar Gonzalez-Dios, Aritz Farwell and Esther Miranda. Details about the association and the full announcement for the conference can be found on the conference website: https://hitz.eus/gwc2023 We invite submissions with original contributions addressing, but not limited to, the topics listed below. Proposals for tutorials are welcome as well. Conference Topics 1. Lexical semantics and meaning representation * Critical analysis and applications of lexical and semantic relations * Proposed new relations * Definitions, semantic components, co-occurrence and frequency statistics * Word, Sense and Context Embeddings * Necessity and completeness issues * Ontology and wordnet * Other lexicographical and lexicological questions pertaining to wordnet-style meaning representation * Wordnets and other modalities 1. Architecture of lexical databases * Language independent and language dependent components * Integration of multi-wordnets in research infrastructures (like CLARIN, ELG, etc.) * Wordnets and Linked Open Data (LOD) 1. Tools and methods for wordnet development * User and Data entry interfaces * Methods for constructing, extending and enriching wordnets * Methods for linking wordnets to other lexical and semantic resources * Methods for leveraging existing wordnets and semantic networks with large language models 1. Applications of wordnet * Word sense disambiguation * Text generation * Commonsense reasoning * Machine translation * Information extraction and retrieval * Document structuring and categorisation * Automatic hyperlinking * Language pedagogy * Psycholinguistic applications * Embeddings and pretrained language models * Probing large neural language models 1. Standardization, distribution and availability of wordnets and wordnet tools. Submissions will fall into one of the following categories (page limits exclude references): * long papers: 8 pages max, 30 minute presentation * short papers: 5 pages max; 15 minute presentation * project reports: 5 pages max., 10 minute presentation * demonstrations : 5 pages max, with an additional 3 pages screen dumps or images; 20 minute presentation Submissions should be anonymous and any identifying information must be removed. Authors must state the preferred category, though acceptance may be subject to change in the category of the presentation, e.g. a long paper submission may be accepted as a short paper. Final papers should be submitted in electronic form (PDF only). Paper submissions must use the official ACL style templates, which are available from here <https://github.com/acl-org/acl-style-files> (Latex and Word). Please follow the paper formatting guidelines general to “*ACL” conferences available here <https://acl-org.github.io/ACLPUB/formatting.html>. Authors may not modify these style files or use templates designed for other conferences. Authors are kindly requested to submit a tentative abstract of their work (not assessed) for reviewer assignment purposes. Submission site: https://easychair.org/conferences/?conf=gwc2023 Important Dates (NEW DATES!!!) 1. Still open for abstract submissions! 2. October 21, 2022 (Deadline extension) Deadline for paper submission 1. November 25, 2022 Notification of acceptance 1. December 1, 2022 Registration opens 1. December 23, 2022 Deadline author registration, final version paper 1. January 23-27, 2023 Conference Proceedings Conference proceedings will be open access and downloadable from the GWA website. The proceedings will have an ISBN and be published in the ACL anthology. Papers are only included in the proceedings if at least one author has registered. Inclusion of accepted submissions into the final program and the proceedings is contingent upon at least one author’s registration. Late registration and on-site registration for participants is possible without inclusion of the paper and without presentation. Conference Chairs German Rigau - german.rigau(a)ehu.eus Francis Bond - bond(a)ieee.org Local Organizing Chairs Begoña Altuna - begona.altuna(a)ehu.eus Itziar Aldabe - itziar.aldabe(a)ehu.eus Xabier Arregi - xabier.arregi(a)ehu.eus Itziar Gonzalez-Dios - itziar.gonzalezd(a)ehu.eus Aritz Farwell - asfarwell(a)ehu.eus Esther Miranda - esther.miranda(a)ehu.eus Program Committee (to be confirmed and extended) Adam Pease, Articulate Software Ales Horak, Masaryk University Alexandre Rademaker, IBM Research Brazil and EMAp/FGV Bolette Pedersen, University of Copenhagen Christiane Fellbaum, Princeton University Darja Fiser, University of Ljubljana David Lindemann, IWiSt, University of Hildesheim Diptesh Kanojia, IIT Bombay Eneko Agirre, University of the Basque Country Ewa Rudnicka, Wrocław University of Science and Technology Francis Bond, Palacký University Gerard De Melo, Rutgers University German Rigau, IXA Group, UPV/EHU Haldur Oim, University of Tartu Heili Orav, University of Tartu Hugo Gonçalo-Oliveira, Department of Informatics Engineering of the University of Coimbra Janos Csirik, University of Szeged John Mccrae, National University of Ireland, Galway Kadri Vider, University of Tartu Kevin Scannell, Saint Louis University Kyoko Kanzaki, Otemon Gakuin University Maciej Piasecki, Department of Computational Intelligence, Wrocław University of Science and Technology Marten Postma, Vrije Universiteit Amsterdam Paul Buitelaar, National University of Ireland, Galway Piek Vossen, VU University Amsterdam. Sanni Nimb, The Danish Society for Language and Literature Shan Wang, The Education University of Hong Kong Shu-Kai Hsieh, National Taiwan Normal University Sonja Bosch, Department of African Languages, University of South Africa Thierry Declerck, DFKI, Saarbruecken Tim Baldwin, The University of Melbourne Tomaž Erjavec, Dept. of Knowledge Technologies, Jožef Stefan Institute Umamaheswari Vasanthakumar, Nanyang Technological University Valeria Depaiva, Natural Language and AI Research Laboratory of Nuance Communications, Inc. Verginica Mititelu, Romanian Academy Research Institute for Artificial Intelligence Sponsors Keler https://www.keler.eus/en

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ACL Anthology Reference Corpus, Version 2
by Veronika Mitická 02 Oct '22

02 Oct '22

To whom it may concern, I am writing in search of the "ACL Anthology Reference Corpus, Version 2" mentioned in the following email from 2016: https://mailman.uib.no/public/corpora/2016-March/024214.html As the link for the corpus is no longer functional, I was hoping to get more information about it and tips as to where to find it. Yours sincerely, Veronika Miticka, SketchEngine

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2025

2024

2023

2022

Corpora October 2022