December 2022 - Corpora

3-year PhD position in Computational Models of Semantic Memory and its Acquisition (Inria and University of Lille, France)
by Pascal Denis 13 May '25

13 May '25

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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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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[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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4-year postdoctoral fellowship, University of Oslo
by Lilja Øvrelid 09 Feb '23

09 Feb '23

A position as Postdoctoral Research Fellow is available in the Language Technology Group (LTG) of the Department of Informatics (IFI), University of Oslo. The fellowship period is for a period of four (4) years. 25% of the position will be dedicated to teaching activities. For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/237075/postdoctoral-research… The closing date is February 15th, 2023. Please do not hesitate to contact me for any further information. Best regards, Lilja Lilja Øvrelid Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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Assistant Professorships in NLP/AI at the University of Groningen
by Malvina Nissim 23 Jan '23

23 Jan '23

Dear All, In the context of a large national investment in the Humanities, there are 24 assistant professor positions currently available at the Faculty of Arts of the University of Groningen, The Netherlands. This Faculty also hosts the Natural Language Processing group (@GroNLP, https://www.rug.nl/research/clcg/research/cl/?lang=en). Several of these positions are aimed at strengthening the field of Humane AI, with a particular focus on NLP. More details can be found here: https://www.rug.nl/let/sectorplan/positions-in-humane-ai. The application procedure is centralised for all 24 positions: https://www.rug.nl/let/sectorplan/ If you have any questions regarding the NLP / Humane AI positions, you can get in touch with me. The application deadline is January 31st 2023. If you work in relevant fields and are willing to join an active and vibrant research group, please consider applying! Best wishes, Malvina Nissim ------------------------------- prof. dr. Malvina Nissim Chair of Computational Linguistics and Society Center for Language and Cognition Groningen Faculty of Arts, Rijksuniversiteit Groningen, The Netherlands (on scholar: https://scholar.google.nl/citations?user=hnTpEOAAAAAJ)

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looking for time-aligned spoken corpora
by Laura Becker 30 Dec '22

30 Dec '22

Dear all, I am looking for large spoken corpora of spontaneous speech in any language (ideally > 100 hours) with a time-aligned transcription. I am not committed to a specific genre as long as it is spontaneous speech. It should be available as a download (for research, no commercial use), ideally free but I may be able to pay for it as well. Thank you, Laura Becker

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[FPI on NLP] PhD position on knowledge discovery from text and semantic-based computational models, at the University of Alicante (SPAIN)
by Yoan Gutierrez 30 Dec '22

30 Dec '22

Dear researcher, in case you: - are interested in a *fully-funded PhD position* to research on *knowledge discovery* from text and *semantic-based computational models*; - have a *Master degree* in Computer Science, Mathematics or related disciplines; - are an *enthusiastic person* who loves to face the frontiers of knowledge; - are willing to *join *a strong and multidisciplinary *NLP research group*; - like the* fantastic **ecosystem* of Alicante (i.e. sun, sea, mountain, delicious food, sport variety), networking, and social events; *this PhD. position is for you!!!* We are inviting applications for one fully funded PhD position in the Department of Software and Computing systems <https://www.dlsi.ua.es/index.cgi?id=eng>, University of Alicante (Spain). The request can be made from * January 12, 2023*, with a starting date of as early as possible in 2023. More details below and on this link: https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *About the Project:* [TRIVIAL] Technological resources for intelligent viral analysis through NLP <https://trivial.gplsi.es/en> *Objectives*: - Automated resource generation leveraging collective intelligence. - Studying and modelling the variety of digital contents based on semantic characteristics represented by digital entities. - Analysis of the influence and impact of digital content in different scenarios. - Generation of knowledge from the different digital models obtained. - Application and evaluation of the acquired knowledge to real use cases in society. *Candidate requirements: *Applicants will need to meet general entry requirements, and will have a Master degree in Computer Science, Mathematics or related disciplines. Experience on semantic analysis of language, statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable. *How to apply: *Applications for the PhD studentship must be made directly to the Researching State Agency <https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat…> using the *Online Application Form <https://aplicaciones.ciencia.gob.es/ayudaspredoctorales/>*. *Make sure you name project code **PID2021-122263OB-C22* (the list of receiver projects are here <https://www.aei.gob.es/sites/default/files/convocatory_info/2022-12/Listado…>) as receiver. Information on what documents are required and a link to the application form can be found here - https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *Funding Notes:* This position is funded by the State Plan for Scientific and Technical Research and Innovation 2021-2023. *Spanish and International students are eligible to apply!* We look forward to meeting you ;). *For any doubt or help do not hesitate to contact us!* Best regards, -- ................. Yoan Gutiérrez Vázquez PhD. Full-time Lecturer Department of Software and Computing systems, University of Alicante Bio: http://ygutierrez.gplsi.es/

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Faculty position (Associate professor, tenure position), Machine-Learning for Social Computing, Telecom Paris
by matthieu.labeau＠telecom-paris.fr 30 Dec '22

30 Dec '22

[Apologies for cross postings] ******************************************************** Faculty position (Associate professor, tenure position) at Telecom Paris in Machine-Learning for Social Computing. Telecom Paris has a new permanent (tenure) faculty position (Associate Professor/ “Maître de conférences”) in the area of **machine learning for social computing**. Applicants from the following sub-research areas are welcome: - Neural models for the recognition and generation of socio-emotional behaviors - Natural language and speech processing - Dialogue, conversational systems, and social robotics - Reinforcement learning for dialogue - Sentiment analysis in social interactions - Bias and explainability in AI - Model tractability, multi-task learning, meta-learning Important Dates - March 20th, 2023: closing date for applications - April 20th, 2023: hearings of the preselected candidates Context Social Computing team [1] - S²A (machine learning, statistics and signal processing) group [2] - LTCI (laboratoire de traitement et communication de l’information) [3] - Telecom Paris [4] . Ecosystem Telecom Paris [4] is a founding member of the Institut Polytechnique de Paris (IP Paris, https://www.ip-paris.fr/en/), a world-class scientific and technological institution. Located at the Plateau de Saclay close to Paris-Saclay University, this Institution is a partnership between Ecole Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris, Télecom SudParis, with HEC as a key partner. Regularly ranked as one of the best engineering schools in France, Télécom Paris is recognized for its excellent training, its very good employability rate with high salaries, its high-level research, and its very close proximity to companies. The THE (Times Higher Education) ranks Télécom Paris 2nd best French engineering school, 5th better French university, and 6th « best small university » (https://www.telecom-paris.fr/times-higher-education-telecom-paris-6th-best-…). The newly created institution IP Paris was ranked in the top 50 best universities in the QS world university ranking. In the context of the Institut Polytechnique de Paris, the activities in Data Science and AI of the team benefit from the center Hi!Paris (https://www.hi-paris.fr), offering seminars, workshops, and fundings through calls for project. Main missions/Research activities - Develop groundbreaking research in the field of machine learning applied to Social Computing, which includes: natural language and speech processing, dialogue, conversational systems, and social robotics, reinforcement learning for dialogue, sentiment analysis in social interactions, bias and explainability in AI, model tractability, multi-task learning, meta-learning - Develop both academic and industrial collaborations on the same topic, including collaborative activities with other Telecom Paris research departments and teams (including social sciences researchers of economics and social sciences department [6]), and research contracts with industrial players - Set up research grants and take part in national and international collaborative research projects - Publish high-quality research work in leading journals and conferences - Be an active member of the research community (serving on scientific committees and boards, organizing seminars, workshops, and special sessions...) Main missions/Teaching activities Participate in teaching activities at Telecom Paris and its partner academic institutions (as part of joint Master programs), especially in natural language processing, speech processing, machine learning, and Data Science, including life-long training programs (e.g. the local “Mastères Spécialisés”) Candidate profile As a minimum requirement, the successful candidate will have: - A Ph.D. degree - A track record of research and publication in one or more of the following areas: conversational artificial intelligence, machine learning, natural language processing, speech and signal processing, human-agent interactions, social robotics - Experience in teaching - An international postdoctoral experience is welcome but not mandatory - Excellent command of English NOTE: The candidate does *not* need to speak French to apply, just to be willing to learn the language (teaching will be mostly given in English) Other skills expected include: - Capacity to work in a team and develop good relationships with colleagues and peers - Excellent writing and pedagogical skills More about the position - Place of work: Saclay (Paris outskirts) How to apply? Applications must be submitted via one of the following websites: French Version: https://institutminestelecom.recruitee.com/o/enseignantchercheur-en-machine… English Version: https://institutminestelecom.recruitee.com/l/en/o/enseignantchercheur-en-ma… Applicants should submit a single PDF file that includes: - cover letter, - curriculum vitae, - statements of research and teaching interests (4 pages) - three publications - contact information for two references Contacts: == please do not hesitate to directly contact us before applying == Chloé Clavel (Coordinator of the Social Computing team) Stéphan Clémençon (Head of the S²A group) Florence d’Alché-Buc (Head of the IDS department) [1] https://www.telecom-paris.fr/en/research/laboratories/information-processin… [2] https://www.telecom-paris.fr/en/research/laboratories/information-processin… [3] https://www.telecom-paris.fr/fr/lecole/departements-enseignement-recherche/… [4] https://www.telecom-paris.fr/en/research/laboratories/information-processin… [5] https://www.telecom-paris.fr/en/home [6] https://www.telecom-paris.fr/en/the-school/teaching-research-departments/ec…

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2ndCFP: Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems (deadline 31 Jan 2023)
by Ryuichiro Higashinaka 29 Dec '22

29 Dec '22

Dear all, Let us send a reminder of a special issue on "Multimodal Processing and Robotics for Dialogue Systems" in the journal of Advanced Robotics (Taylor & Francis). Please consider submitting your original paper to this special issue. The deadline is 31 Jan. 2023. https://think.taylorandfrancis.com/special_issues/advanced-robotics-multimo… https://www.rsj.or.jp/content/files/pub/ar/CFP/CFP_37_21.pdf I would also appreciate it if you could help distribute the CFP and encourage your colleagues to make submissions. Best regards, Ryuichiro Higashinaka on behalf of guest editors ///////////////////////////////////////////////////////////////////////// [Call for Papers] Advanced Robotics Special Issue on Multimodal Processing and Robotics for Dialogue Systems Co-Editors: Prof. David Traum (University of Southern California, USA) Prof. Gabriel Skantze (KTH Royal Institute of Technology, Sweden) Prof. Hiromitsu Nishizaki (University of Yamanashi, Japan) Prof. Ryuichiro Higashinaka (Nagoya University, Japan) Dr. Takashi Minato (RIKEN/ATR, Japan) Prof. Takayuki Nagai (Osaka University, Japan) Publication in Vol. 37, Issue 21 (Nov 2023) SUBMISSION DEADLINE: 31 Jan 2023 In recent years, as seen in smart speakers such as Google Home and Amazon Alexa, there has been remarkable progress in spoken dialogue systems technology to converse with users with human-like utterances. In the future, such dialogue systems are expected to support our daily activities in various ways. However, dialogue in daily activities is more complex than that with smart speakers; even with current spoken dialogue technology, it is still difficult to maintain a successful dialogue in various situations. For example, in customer service through dialogue, it is necessary for operators to respond appropriately to the different ways of speaking and requests of various customers. In such cases, we humans can switch the speaking manner depending on the type of customer, and we can successfully perform the dialogue by not only using our voice but also our gaze and facial expressions. This type of human-like interaction is far from possible with the existing spoken dialogue systems. Humanoid robots have the possibility to realize such an interaction, because they can recognize not only the user's voice but also facial expressions and gestures using various sensors, and can express themselves in various ways such as gestures and facial expressions using their bodies. Their many means of expressions have the potential to successfully continue dialogue in a manner different from conventional dialogue systems. The combination of such robots and dialogue systems can greatly expand the possibilities of dialogue systems, while at the same time, providing a variety of new challenges. Various research and development efforts are currently underway to address these new challenges, including "dialogue robot competition" at IROS2022. In this special issue, we invite a wide range of papers on multimodal dialogue systems and dialogue robots, their applications, and fundamental research. Prospective contributed papers are invited to cover, but are not limited to, the following topics on multimodal dialogue systems and robots: *Spoken dialogue processing *Multimodal processing *Speech recognition *Text-to-speech *Emotion recognition *Motion generation *Facial expression generation *System architecture *Natural language processing *Knowledge representation *Benchmarking *Evaluation method *Ethics *Dialogue systems and robots for competition Submission: The full-length manuscript (either PDF file or MS word file) should be sent by 31st Jan 2023 to the office of Advanced Robotics, the Robotics Society of Japan through the on-line submission system of the journal (https://www.rsj.or.jp/AR/submission). Sample manuscript templates and detailed instructions for authors are available at the website of the journal. Note that word count includes references. Captions and author bios are not included. For special issues, longer papers can be accepted if the editors approve. Please contact the editors before the submission if your manuscript exceeds the word limit.

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Call for Participation - 12th Global Wordnet Conference (GWC2023)
by Begoña Altuna 29 Dec '22

29 Dec '22

*Call for Participation - 12th Global Wordnet Conference (GWC2023)* Dear CorporaList members, The Global Wordnet Association is pleased to announce the 12th International Global Wordnet Conference (GWC2023) in Donostia / San Sebastian (Spain). The conference is hosted by HiTZ, Basque Center for Language Technology at the University of the Basque Country, and will take place from January 23 to 27, 2023. The programme is accessible at https://www.hitz.eus/gwc2023/programme Registration for the conference is available at https://www.hitz.eus/gwc2023/registration_form You can consult additional information at https://www.hitz.eus/gwc2023/ Looking forward to welcoming you in Donostia-San Sebastian! GWC2023 organising committee

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New Arabic library
by Hesham Haroon 29 Dec '22

29 Dec '22

Hello everyone I'm happy to introduce this new library The Sarsor is a Python library that allows users to perform various natural language processing tasks in Arabic, such as translation, text classification, question answering, summarization, text generation, and more. It uses the transformers library to access pre-trained language models and the pyarabic library to process Arabic text. Please test it at https://github.com/h9-tect/arabic-lib-transformers If you have any questions or comments please let me know

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RANLP 2023: 1st CFP
by Petya Osenova 28 Dec '22

28 Dec '22

RANLP 2023 Summer school ‘Deep Learning in NLP’: 30 August – 1 September 2023 (Wednesday-Friday) Tutorials: 2-3 September 2023 (Saturday-Sunday) Main Conference and Student Research Workshop: 4-6 September 2023 (Monday-Wednesday) Workshops: 7-8 September 2023 (Thursday-Friday) We are pleased to announce that the 14th biennial RANLP conference will take place in September 2023 at the Black Sea city of Varna. In addition to the conference programme of competitively peer-reviewed papers reporting on the recent advances of a wide range of NLP topics, the RANLP conference features inspirational keynote speakers. Poster and demo sessions will be held at the conference exhibition area. The conference will be preceded by three days of summer school on Deep Learning in NLP (30 August - 1 September 2023) and two days of tutorials (2-3 September 2023). Post-conference workshops will be held on 7-8 September 2023. A Student Research Workshop will run in parallel to the main conference. The Student Research Workshop (now in its 8th edition) is a vibrant discussion forum for young researchers. The papers accepted at RANLP and the associated workshops are included in the ACL Anthology. All accepted papers have DOI numbers. The RANLP proceedings are indexed by SCOPUS and DBLP. TOPICS We invite papers reporting recent advances in all aspects of Natural Language Processing (NLP). We encourage contributions from a broad range of areas including, but not limited to, the following topics: phonetics, phonology, morphology; syntax, semantics, discourse, pragmatics, dialogue, lexicon; complexity; mathematical, statistical, machine learning and deep learning models; language resources and corpora; crowdsourcing for creation of linguistic resources; electronic dictionaries, terminologies and ontologies; sublanguages and controlled languages; linked data; POS tagging; parsing; semantic role labelling; word-sense disambiguation; multiword expressions and computational phraseology; textual entailment; anaphora resolution; temporal processing; language generation; speech recognition; text-to-speech synthesis; multilingual NLP; machine translation, translation memory systems and computer-aided translation tools, text simplification and readability estimation; knowledge acquisition; information retrieval; text categorisation; information extraction; text summarisation; terminology extraction; question answering; opinion mining and sentiment analysis; fact checking and fake news; stance recognition; hate speech and aggression detection; author profiling; dialogue systems; chatbots and conversational agents; irony and sarcasm detection; negation and speculation detection; computer-aided language learning; multimodal systems; language and vision; NLP for biomedical texts; NLP for educational applications; NLP for healthcare; NLP for financial purposes; NLP for legal texts; for the Semantic web; theoretical and application-orientated papers related to NLP. CHAIR OF THE PROGRAMME COMMITTEE Ruslan Mitkov (University of Wolverhampton) CHAIR OF THE ORGANISING COMMITTEE Galia Angelova (Bulgarian Academy of Sciences) The Programme Committee members are distinguished NLP experts from all over the world. The list of PC members will be announced at the conference website in due time. INVITED SPEAKERS: The list of keynote speakers at RANLP 2023, tutorial lecturers and summer school tutors includes: KEYNOTE SPEAKERS: * Isabelle Augenstein (Copenhagen University, Denmark) * Kyunghyun Cho (New York University, USA) * Sandra Kübler (Indiana University Bloomington, USA) * Eduard Hovy (Carnegie Mellon University, USA) * Efstathios Stamatos (University of the Aegean, Greece) TUTORIAL LECTURERS: * Burcu Can (University of Wolverhampton, UK) * Tomáš Mikolov (Czech Technical University in Prague, Czech Republic) * Tharindu Ranasinghe (University of Wolverhampton, UK) * Sanja Stajner (Karlsruhe, Germany) SUMMER SCHOOL LECTURERS: * Isabelle Augenstein (Copenhagen University, Denmark) * Burcu Can (University of Wolverhampton, UK) * Kyunghyun Cho (New York University, USA) * Tharindu Ranasinghe (University of Wolverhampton, UK) * Damith Premasiri (practical sessions) (University of Wolverhampton, UK) * Kanishka Silva (practical sessions) (University of Wolverhampton, UK) WORKSHOPS: Several workshops will be organised on 7-8 September 2023. A Call for Workshop Proposals was published in December 2022. SUBMISSION OF PAPERS, POSTERS, DEMOS The submissions will be maintained by the conference management software START. For further instructions, please follow the submission information at the conference website at https://ranlp.org/ranlp2023/. The reviewing process will be anonymous. Double submission is acceptable, but authors will be asked to declare it at the time of submission. Submissions will be reviewed by at least three members of the Programme Committee. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. The full conference proceedings will be uploaded on the ACL Anthology. RANLP-2023 aims to provide early notification of acceptance to authors and presenters who need visa to enter Bulgaria. We invite early submissions of authors’ names and paper abstracts, in order to plan quick reviewing. Access to the conference management software will be available on 1 April 2023. IMPORTANT DATES Call for workshop proposals: 5 December 2022 Deadline for workshop proposals: 31 January 2023 Workshops selection: 15 February 2023 Workshop website due: 15 March 2023 Conference abstracts submission: 1 April - 6 May 2023 Conference papers submission: 6 May 2023 Conference papers acceptance notification: 26 June 2023 Camera-ready versions of the conference papers: 31 July 2023 Workshop paper submission deadline (suggested): 10 July 2023 Workshop paper acceptance notification (suggested): 5 August 2023 Workshop paper camera-ready versions (suggested): 25 August 2023 Workshop camera-ready proceedings ready (suggested): 31 August 2023 RANLP Summer School on Deep Learning in NLP: 30 August - 1 September 2023 RANLP tutorials: 2-3 September 2023 (Saturday-Sunday) RANLP conference: 4-6 September 2023 (Monday-Wednesday) RANLP workshops: 7-8 September 2023 (Thursday-Friday) LOCATION and TRAVEL RANLP 2023 will be held in Varna, the largest city on the Bulgarian Black Sea Coast, in Hotel “Cherno More” (http://www.chernomorebg.com/home). The event venue is centrally located at the entrance of the Sea Garden and offers excellent conference facilities. The city is a major tourist destination with flights to/from the Varna International Airport. It is also known for its Archaeological Museum, which features the oldest gold treasure in the world (https://en.wikipedia.org/wiki/Varna_Necropolis). THE TEAM BEHIND RANLP-2023 Galia Angelova, Bulgarian Academy of Sciences, Bulgaria (OC Chair) Ruslan Mitkov, University of Wolverhampton, UK (PC Chair) Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, UAE Nikolai Nikolov, INCOMA Ltd., Shoumen, Bulgaria Ivelina Nikolova-Koleva, Bulgarian Academy of Sciences, Bulgaria Petya Osenova, Bulgarian Academy of Sciences, Bulgaria Rocío Caro Quintana, University of Wolverhampton, UK Kiril Simov, Bulgarian Academy of Sciences, Bulgaria (Workshop coordinator)

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[FPI on NLP] PhD position on knowledge discovery from text and semantic-based computational models, at the University of Alicante (SPAIN)
by Yoan 27 Dec '22

27 Dec '22

Dear researcher, in case you: - are interested in a *fully-funded PhD position* to research on *knowledge discovery* from text and *semantic-based computational models*; - have a *Master degree* in Computer Science, Mathematics or related disciplines; - are an *enthusiastic person* who loves to face the frontiers of knowledge; - are willing to *join *a strong and multidisciplinary *NLP research group*; - like the* fantastic **ecosystem* of Alicante (i.e. sun, sea, mountain, delicious food, sport variety), networking, and social events; *this PhD. position is your you!!!* We are inviting applications for one fully funded PhD position in the Department of Software and Computing systems <https://www.dlsi.ua.es/index.cgi?id=eng>, University of Alicante (Spain). The request can be made from * January 12, 2023*, with a starting date of as early as possible in 2023. More details below and on this link: https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *About the Project:* [TRIVIAL] Technological resources for intelligent viral analysis through NLP <https://trivial.gplsi.es/en> *Objectives*: - Automated resource generation leveraging collective intelligence. - Studying and modelling the variety of digital contents based on semantic characteristics represented by digital entities. - Analysis of the influence and impact of digital content in different scenarios. - Generation of knowledge from the different digital models obtained. - Application and evaluation of the acquired knowledge to real use cases in society. *Candidate requirements: *Applicants will need to meet general entry requirements, and will have a Master degree in Computer Science, Mathematics or related disciplines. Experience on semantic analysis of language, statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable. *How to apply: *Applications for the PhD studentship must be made directly to the Researching State Agency <https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat…> using the *Online Application Form <https://aplicaciones.ciencia.gob.es/ayudaspredoctorales/>*. *Make sure you name project code **PID2021-122263OB-C22* (the list of receiver projects are here <https://www.aei.gob.es/sites/default/files/convocatory_info/2022-12/Listado…>) as receiver. Information on what documents are required and a link to the application form can be found here - https://www.aei.gob.es/en/announcements/announcements-finder/ayudas-contrat… *Funding Notes:* This position is funded by the State Plan for Scientific and Technical Research and Innovation 2021-2023. *Spanish and International students are eligible to apply!* We look forward to meeting you ;). *For any doubt or help do not hesitate to contact us!* Best regards, -- Yoan Gutiérrez Vázquez PhD. Full-time Lecturer Department of Software and Computing systems, University of Alicante Bio: http://ygutierrez.gplsi.es/ ................. > >

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Researcher in computer science -- job post
by Rui Manuel Sousa Silva 26 Dec '22

26 Dec '22

Dear all, This is just a reminder that the application deadline for Assistant Researcher at the Centre of Linguistics of the Uniersity of Porto ends tomorrow. For fiurther details, visit https://sigarra.up.pt/flup/en/NOTICIAS_GERAL.VER_NOTICIA?p_nr=151005 All best Rui Sousa Silva Professor Auxiliar | Assistant Professor PhD Coordenador Científico do CLUP-Centro de Linguística da Universidade do Porto | Scientific Coordinator of the Centre for Linguistics of the University of Porto Faculdade de Letras da Universidade do Porto | Faculty of Arts and Humanities of the University of Porto Via Panorâmica, s/n P-4150-564 Porto Portugal w: www.linguisticaforense.pt | Faculdade de Letras da Universidade do Porto - http://www.letras.up.pt Twitter: https://twitter.com/rsousasilva | Linkedin: https://www.linkedin.com/in/rui-sousa-silva-83a38731/ | ResearchGate: https://www.researchgate.net/profile/Rui_Sousa-Silva | ORCiD: https://orcid.org/0000-0002-5249-0617 | Language and Law/Linguagem e Direito: http://ojs.letras.up.pt/index.php/LLLD/index Publicações mais recentes / Latest publications: Fighting the Fake: A Forensic Linguistic Analysis for Fake News Detection The Dawn of the Human-Machine Era | The Routledge Handbook of Forensic Linguistics

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First CFP: 19th Workshop on Multiword Expressions (MWE 2023)
by Archna Bhatia 24 Dec '22

24 Dec '22

[Apologies for cross-postings] ******************************************************************************** First Call for Papers 19th Workshop on Multiword Expressions (MWE 2023) Organized and sponsored by SIGLEX, the Special Interest Group on the Lexicon of the ACL Full-day workshop collocated with EACL 2023, Dubrovnik, Croatia, May 2 or 6, 2023 Hybrid (on-site & on-line) Submission deadline: February 13, 2023 MWE 2023 website: <https://multiword.org/mwe2022/> https://multiword.org/mwe2023/ ******************************************************************************** Multiword expressions (MWEs) are word combinations that exhibit lexical, syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin & Kim 2010), such as by and large, hot dog, pay a visit and pull one's leg. The notion encompasses closely related phenomena: idioms, compounds, light-verb constructions, phrasal verbs, rhetorical figures, collocations, institutionalized phrases, etc. Their behavior is often unpredictable; for example, their meaning often does not result from the direct combination of the meanings of their parts. Given their irregular nature, MWEs often pose complex problems in linguistic modeling (e.g. annotation), NLP tasks (e.g. parsing), and end-user applications (e.g. natural language understanding and MT), hence still representing an open issue for computational linguistics (Constant et al. 2017). For almost two decades, modeling and processing MWEs for NLP has been the topic of the MWE workshop organized by the MWE section<https://multiword.org/> of SIGLEX<http://www.siglex.org/> in conjunction with major NLP conferences since 2003. Impressive progress has been made in the field, but our understanding of MWEs still requires much research considering their need and usefulness in NLP applications. This is also relevant to domain-specific NLP pipelines that need to tackle terminologies most often realized as MWEs. Following previous years, for this 19th edition of the workshop, we identified the following topics on which contributions are particularly encouraged: * MWE processing and identification in specialized languages and domains: Multiword terminology extraction from domain-specific corpora (Bonin et al. 2010) is of particular importance to various applications, such as MT (Semmar & Laib, 2017), or for the identification and monitoring of neologisms and technical jargon (Chatzitheodorou et al, 2021). We expect approaches that deal with the processing of MWEs as well as the processing of terminology in specialised domains can benefit from each other. * MWE processing to enhance end-user applications: MWEs have gained particular attention in end-user applications, including MT (Zaninello & Birch 2020; Han et al. 2021), simplification (Kochmar et al. 2020), language learning and assessment (Paquot et al. 2019; Christiansen & Arnon 2017), social media mining (Maisto et al. 2017), and abusive language detection (Zampieri et al. 2020; Caselli et al. 2020). We believe that it is crucial to extend and deepen these first attempts to integrate and evaluate MWE technology in these and further end-user applications. * MWE identification and interpretation in pre-trained language models: Most current MWE processing is limited to their identification and detection using pre-trained language models, but we still lack understanding about how MWEs are represented and dealt with therein (Nedumpozhimana & Kelleher 2021; Garcia et al. 2021, Fakharian & Cook 2021), how to better model the compositionality of MWEs from semantics (Moreau et al. 2018). Now that NLP has shifted towards end-to-end neural models like BERT, capable of solving complex tasks with little or no intermediary linguistic symbols, questions arise about the extent to which MWEs should be implicitly or explicitly modelled (Shwartz & Dagan, 2019). * MWE processing in low-resource languages: The PARSEME shared tasks (Ramisch et al. 2020; 2018; Savary et al. 2017), among others, have fostered significant progress in MWE identification, providing datasets that include low-resource languages, evaluation measures, and tools that now allow fully integrating MWE identification into end-user applications. A few efforts have recently explored methods for the automatic interpretation of MWEs (Bhatia, et al. 2018; 2017), and their processing in low-resource languages (Liu & Wang 2020; Kumar et al. 2017). Resource creation and sharing should be pursued in parallel with the development of methods able to capitalize on small datasets (Han et al. 2020). Through this workshop, we would like to bring together and encourage researchers in various NLP subfields to submit MWE-related research, so that approaches that deal with processing of MWEs including processing for low-resource languages and for various applications can benefit from each other. We also intend to consolidate the converging effects of previous joint workshops LAW-MWE-CxG 2018<http://multiword.sourceforge.net/lawmwecxg2018/>, MWE-WN 2019<http://multiword.sourceforge.net/mwewn2019/> and MWE-LEX 2020<http://multiword.sourceforge.net/mwelex2020/>, the joint MWE-WOAH panel in 2021<https://multiword.org/mwe2021/#program>, and the MWE-SIGUL 2022 joint session<https://multiword.org/mwe2022/>, extending our scope to MWEs in e-lexicons and WordNets, MWE annotation, as well as grammatical constructions. Correspondingly, we call for papers on research related (but not limited) to MWEs and constructions in: * Computationally-applicable theoretical work in psycholinguistics and corpus linguistics; * Annotation (expert, crowdsourcing, automatic) and representation in resources such as corpora, treebanks, e-lexicons, and WordNets (also for low-resource languages); * Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.); * Discovery and identification methods, including for specialized languages and domains such as clinical or biomedical NLP; * Interpretation of MWEs and understanding of text containing them; * Language acquisition, language learning, and non-standard language (e.g. tweets, speech); * Evaluation of annotation and processing techniques; * Retrospective comparative analyses from the PARSEME shared tasks; * Processing for end-user applications (e.g. MT, NLU, summarization, language learning, etc.); * Implicit and explicit representation in pre-trained language models and end-user applications; * Evaluation and probing of pre-trained language models; * Resources and tools (e.g. lexicons, identifiers) and their integration into end-user applications; * Multiword terminology extraction; * Adaptation and transfer of annotations and related resources to new languages and domains including low-resource ones. Shared Task We do not have a shared task this year, but a new release of the PARSEME corpus of verbal MWEs is currently underway. We encourage submission of research papers that include analyses of the new edition of the PARSEME data and improvements over the results for PARSEME 2020 shared task as well as SemEval 2022 task 2 on idiomaticity prediction. Submission formats: The workshop invites two types of submissions: * archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references). * non-archival submissions of abstracts describing relevant research presented/published elsewhere which will not be included in the MWE proceedings. Paper submission and templates Papers should be submitted via the workshop's START submission page (TBD). Please choose the appropriate submission format (archival/non-archival). Archival papers with existing reviews will also be accepted through the ACL Rolling Review. Submissions must follow the ACL 2023 stylesheet<https://2023.aclweb.org/calls/style_and_formatting/>. Important Dates Paper Submission Deadline: February 13, 2023 Notification of acceptance: March 13, 2023 Camera-ready papers due: March 27, 2023 Workshop: May 2 or 6, 2023 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). Organizing Committee Program chairs: Marcos Garcia, Voula Giouli, Lifeng Han, Shiva Taslimipoor Publication chair: Archna Bhatia Publicity chair: Kilian Evang Anti-harassment policy The workshop follows the ACL anti-harassment policy<https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy>. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at mweworkshop2023(a)googlegroups.com<mailto:mweworkshop2023@googlegroups.com>. -- Archna Bhatia, Ph.D. Research Scientist, Institute for Human & Machine Cognition 15 SE Osceola Ave, Ocala, FL 34471 (352) 387-3061

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Call for Course Proposals: ESSAI - European Summer School in Artificial Intelligence
by Roberto Navigli 23 Dec '22

23 Dec '22

*ESSAI - European Summer School in Artificial Intelligence*24-28 July 2023 Ljubljana, Slovenia **CALL FOR COURSE PROPOSALS** The 1st European Summer School in Artificial Intelligence - ESSAI 2023, 24-28 July, 2023, at the University of Ljubljana, Faculty of Computer and Information Science, Ljubljana, Slovenia https://essai.ijs.si/ *IMPORTANT DATES:* 24 Jan 2023: Course Title submission deadline (mandatory) 31 Jan 2023: Final submission 28 Feb 2023: Notification The European Summer School in Artificial Intelligence (ESSAI) is a new annual summer school held under the auspices of the European Association for Artificial Intelligence (EurAI). The ambition of ESSAI is to become the central meeting place for students and young researchers in Artificial Intelligence to discuss current research and share knowledge. ESSAI will provide an interdisciplinary setting in which courses are offered in all areas of Artificial Intelligence and also from wider scientific, historical, and philosophical perspectives. The format of ESSAI is analogous to the European Summer School in Logic, Language and Information (ESSLLI) which has been running since 1989. Courses will consist of five 90 minute sessions, offered daily (Monday-Friday) in a single week, to allow students to develop in-depth knowledge of a topic. The first ESSAI will be held in Ljubljana, Slovenia in between the 24th and 28th of July 2023. ESSAI 2023 aims to attract around 400 participants from all parts of Europe, as well as from North and Latin America, and Asia. *TOPICS AND FORMAT* ESSAI aims to cover all subdisciplines of AI and the interactions between them. Proposals for courses at ESSAI 2023 are invited in all areas of Artificial Intelligence, including but not limited to the following: * Agent-based and Multi-agent Systems (MAS) * Ethics, Legal Issues, Explainable and Trustworthy AI (XAI) * Knowledge Representation and Reasoning (KR) * Natural Language Processing (NLP) * Neuro-Symbolic Learning and Reasoning (NeSy) * Planning & Strategic Reasoning (PLAN) * Reinforcement Learning (RL) * Robotics (ROB) * Search & Optimization (SO) * Supervised and Unsupervised Learning (ML) * Vision (VIS) Each course will consist of five 90 minute lectures, offered daily (Monday-Friday) in a single week. While foundational courses will typically focus on one subarea of AI, introductory and advanced courses are encouraged to present a broader perspective on AI, and should be of interest beyond one specific area. *CATEGORIES* Each proposal should fall under one of the following categories. * FOUNDATIONAL COURSES * Foundational courses present the basics of a research area to students with no prior knowledge in that area. They should be at an 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 become comfortable with the fundamental concepts and techniques of the course topic, thereby contributing to the interdisciplinary nature of our research community. * INTRODUCTORY COURSES * Introductory courses are central to ESSAI'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. Introductory courses should enable researchers from related disciplines to become competent in the course topic. Introductory courses that are cross-disciplinary may presuppose general knowledge of the relevant disciplines. * ADVANCED COURSES * Advanced courses are targeted primarily at graduate students who wish to acquire an understanding of current research in a field of Artificial Intelligence. *PROPOSAL GUIDELINES* To be considered, course proposals should closely adhere to the following guidelines: Course proposals can be submitted by no more than two lecturers, and courses must be presented by lecturers who submitted the proposal. All lecturers must possess a PhD or equivalent degree by the submission deadline for course proposals. Course proposals should explicitly state 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 must be submitted in PDF format via: https://easychair.org/conferences/?conf=essai2023 and include all of the following: a. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional) b. General proposal information: Title, category c. Information about the course content: Abstract of up to 150 words Motivation and description (up to two pages) Tentative outline Expected level and prerequisites Appropriate references (e.g. textbooks, monographs, proceedings, surveys) d. Information about the proposer(s) and course: Whether the course will appeal to students outside of the main discipline of the course Proposer(s)’s experience of delivering courses in an intensive one-week interdisciplinary setting Evidence that the proposer(s) is an excellent lecturer To keep participation fees to a minimum, all the instructional and organizational work of ESSAI is performed on a completely voluntary basis. However, the registration fees of organizers and instructors will be waived, and travel and accommodation expenses will be reimbursed up to a level which will be communicated along with the proposal notification. ESSAI can only guarantee reimbursement for at most one course lecturer, and can not guarantee full reimbursement of travel costs for lecturers from outside of Europe. The organizers of ESSAI would appreciate any help in reducing the School's expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources. *SUBMISSION INFORMATION* By Jan 24, 2023: Proposers must submit on EasyChair at least the name(s) of the lecturers(s), the ESSAI area+course level and a short abstract. By Jan 31, 2023: 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=essai2023 *ORGANIZING COMMITTEE* Aleksander Sadikov (University of Ljubljana) Vida Groznik (University of Primorska, University of Ljubljana) Sašo Džeroski (Jožef Stefan Institute) Jure Žabkar (University of Ljubljana) *PROGRAM COMMITTEE* Magdalena Ortiz (Umeå University), chair Brian Logan (Utrecht University), associate co-chair Sašo Džeroski (Jozef Stefan Institute Ljubljana), associate co-chair, ACAI chair Natasha Alechina, Utrecht University Kristian Kersting, TU Darmstadt Ioannis Kompatsiaris, CERTH-ITI Roberto Navigli, Sapienza University of Rome Ann Nowé, Vrije Universiteit Brussel Alessandro Saffiotti, University of Örebro Sungho Suh, DFKI *STANDING COMMITTEE * Giuseppe De Giacomo (Sapienza University of Rome), Head and EurAI Board Representative -- ============================================== 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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FOIS 2023: 2nd Call for Papers
by Selja Seppälä 22 Dec '22

22 Dec '22

*** Apologies for cross-posting *** FOIS 2023: 2nd Call for Papers ============================== 13th International Conference on Formal Ontology in Information Systems (FOIS 2023), July 17-20, 2023 (Sherbrooke, QC, Canada) and Sept 18-20, 2023 (Online) http://fois2023.griis.ca We are happy to announce three exciting keynote speakers for FOIS 2023: - Deborah McGuinness, Tetherless World Senior Constellation Chair and Professor of Computer and Cognitive Science, Rensselaer Polytechnic Institute, USA - John Heil, Professor of Philosophy, Washington University, USA and Durham University, UK - Michael Gruninger, Professor of Industrial Engineering, University of Toronto, Canada More information about our keynotes speakers: https://fois2023.griis.ca/keynote-speakers/ Definition and scope ==================== The FOIS conference is a meeting point for all researchers with an interest in formal ontology. Formal ontology is the systematic study of the types of entities and relations making up the domains of interest represented in modern information systems. The conference encourages submission of high quality, not previously published results on both theoretical issues and practical advancements. FOIS 2023 will have distinct tracks for foundational issues, ontology applications and methods, and domain ontologies. FOIS aims to be a nexus of interdisciplinary research and communication for researchers from many domains engaging with formal ontology. Common application areas include conceptual modeling, database design, knowledge engineering and management, software engineering, organizational modeling, artificial intelligence, robotics, computational linguistics, the life sciences, bioinformatics and scientific research in general, geographic information science, information retrieval, library and information science, as well as the Semantic Web. FOIS is the flagship conference of the International Association for Ontology and its Applications (IAOA: http://iaoa.org/), which is a non-profit organization promoting interdisciplinary research and international collaboration in formal ontology. Important dates =============== - Paper submission deadline: 31 January 2023 - Author rebuttal period: March 24-31, 2023 (tentative) - Notifications: April 10, 2023 (tentative) - Camera-ready papers: May 1, 2023 - Onsite conference: July 17-20, 2023 - Virtual conference: September 18-20, 2023 The submission deadline for workshops will be after the notifications to allow authors to submit a revised version of rejected papers to any of the conference workshops if the paper topics are appropriate for this workshop. Location ======== FOIS 2023 will consist of a physical meeting and a virtual meeting: An in-person only meeting in Sherbrooke, Quebec from July 17 to 20, 2023 that will be very much like a traditional conference with keynotes, regular talks, workshops and tutorials and plenty of social and networking opportunities. This part will not have a remote participation option, but we plan on recording selected talks (e.g. keynotes). The main conference will be from July 17 to 19 and workshops and tutorials will be held mostly on July 20. This will be followed by an online part to be held from September 18 to 20, 2023 that offers an opportunity for presentation and discussion of additional papers that were not presented at the physical meeting in Sherbrooke. To plan for this two-part event, authors must at the time of submission indicate their preference and constraints for presenting either on site in Sherbrooke or virtually. Acceptance will be either for in-person presentation or for online presentation, at which time authors can no longer change the modality. Since the numbers of in-person and online presentations are limited, we encourage authors to be as flexible as possible to maximize your chance of paper acceptance. More details are provided in the Submission Instructions. Submissions =========== FOIS 2023 seeks three types of full-length (14 pages) high-quality papers on a wide range of topics: Foundational papers address content-related ontological issues, their formal representation, and their relevance to some aspect of information systems. Application and Methods papers address novel systems, methods, and tools related to building, evaluating, or using ontologies, emphasizing the impact of ontology contents. Domain ontology papers describe a novel ontology for a specific realm of interest, clarifying ontological choices against requirements and foundational theory, and showing ontology use. Please refer to the submission instructions for more details. As usual, the FOIS proceedings will be published by IOS Press. The conference will also offer workshops and tutorials related to formal ontologies. See the separate call for workshops and tutorials for more information. Topics of interest ================== Areas of particular interest to FOIS include the following: - Foundational Issues - Kinds of entities: particulars/universals, continuants/occurrents, abstracta/concreta, dependent entities/independent entities, natural objects/artifacts, events/processes - Formal relations: parthood, identity, connection, dependence, constitution, causality, subsumption, instantiation - Vagueness and granularity - Space, time, and change - Methodological issues - Top-level vs. domain-specific ontologies - Role of reference ontologies - Ontology similarity, integration, alignment, matching and entity reconciliation - Ontology modularity, patterns, and contextuality - Ontology evaluation, quality, reuse, adaptation, and evolution - Ontology compliance with FAIR principles - Formal comparison among ontologies - Relationship between conceptual modeling and ontologies - Relationship with cognition, language, semantics, and context - Connections between knowledge graphs and ontologies - Methodological issues in the applications of ontologies - Social issues, such as trust or bias, with respect to ontologies - Applications - Technical applications of ontologies, such as - Semantic Web - Other areas of AI (Machine Learning, Explainable AI, Rules) - Qualitative modeling - Systems applications of ontologies, such as - Ontology-driven information systems design - Ontology-based data access - Knowledge management - Information retrieval - Computational linguistics - Metadata management - Domain applications of ontologies, such as - Ontologies for business modeling - Ontologies for particular scientific disciplines (biology, chemistry, geography, physics, geoscience, cognitive sciences, linguistics, etc.) - Ontologies for engineering: shape, form and function, artifacts, manufacturing, design, architecture, etc. - Ontologies for the humanities: arts, cultural studies, history, literature, philosophy, etc. - Ontologies for the social sciences: economics, law, political science, anthropology, archeology, etc. - Ontologies for Open Science and dataset sharing - Domain-specific ontologies - Ontology of physical reality (matter, space, time, motion, etc.) - Ontology of biological reality (organisms, genes, proteins, cells, etc.) - Ontology of mental reality and agency (beliefs, intentions, emotions, perceptions, cognition, etc.) - Ontology of artifacts, functions, capacities and roles - Ontology of social reality (institutions, organizations, norms, social relationships, artistic expressions, etc.) Conference Organization ======================= General Chair: Antony Galton, University of Exeter, UK PC Chairs: Nathalie Aussenac-Gilles, IRIT-CNRS Toulouse, France Torsten Hahmann, University of Maine, USA Local Organization Chair: Jean-François Ethier, University of Sherbrooke, Canada Online Chair: Cassia Trojahn, IRIT Université Toulouse 2, France Workshop and Tutorial Chairs: Megan Katsumi, University of Toronto, Canada Emilio Sanfilippo, ISTC-CNR, Trento, Italy Early Career Chairs: Antoine Zimmermann, École des Mines de Saint-Étienne (EMSE), France Guendalina Righetti, Free University Bozen/Bolzano, Italy Demo & Showcase Chairs: Sergio de Cesare, University of Westminster, UK Tiago Prince Sales, University of Twente, Netherlands Publicity Chairs: Lucia Gomez Alvarez, TU Dresden, Germany Selja Seppälä, University College Cork, Ireland Proceedings Chair: Maria Hedblom, Jönköping University, Sweden Program committee: https://fois2023.griis.ca/conference-organization/

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PhD position on neural and cognitive basis of computational models of language at the University of Sheffield (UK)
by Aline Villavicencio 22 Dec '22

22 Dec '22

We are inviting applications for one fully funded PhD position (covering UK home tuition fees and stipend) in the Department of Computer Science, University of Sheffield (UK). Please forward this announcement to potentially interested candidates. The deadline is January 25, 2023, with a starting date of as early as possible in 2023 (from February on). More details below and on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computa…>. About the Project: neural and cognitive basis of computational models of language Advances in the design of computational models that learn directly from data has led to much progress in areas like natural language processing (NLP). We invite applications for a fully-funded PhD studentship on human- inspired computational models of language. This multidisciplinary project, at the intersection of machine learning, NLP and computational neuroscience, aims to develop computational models of language processing inspired by the neural and biological basis of human language. Candidate requirements: Applicants will need to meet general entry requirements, and ideally will have a Bachelor’s degree (or above) in Computer Science, Neuroscience, Physics, Cognitive Science, Psychology or related discipline (preferably a First Class or the equivalent from an overseas university). Experience on statistical machine learning, deep learning, or computational statistics, as well as programming experience would be desirable. Additional English language requirements can be found here: <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>https://www.sheffield.ac.uk/postgraduate/english-language <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>. How to apply Applications for the PhD studentship must be made directly to the University of Sheffield using the Postgraduate Online Application Form. Make sure you name Aline Villavicencio as proposed supervisor. Information on what documents are required and a link to the application form can be found here - <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…>https://www.sheffield.ac.uk/postgraduate/phd/apply/applying <https://www.findaphd.com/common/clickCount.aspx?theid=153809&type=184&DID=1…> Funding Notes This position is funded by a studentship from the Department of Computer Science, covering the UK home tuition fee and providing a stipend at the standard UKRI rate. International students are eligible to apply if they can self-fund the difference between the home and overseas fee. More details on this link <https://www.findaphd.com/phds/project/neural-and-cognitive-basis-of-computa…> ---------------------------------------------------- ---------------------------------------------------- Prof. Aline Villavicencio Chair in Natural Language Processing Department of Computer Science, University of Sheffield https://sites.google.com/view/alinev https://www.sheffield.ac.uk/dcs/people/academic/aline-villavicencio

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NLP Scientific Officer Job opportunity at EC JRC - Ispra, Italy
by DE LONGUEVILLE Bertrand 22 Dec '22

22 Dec '22

Dear List, Please take good note of the Job Opportunity at the European Commission’s Joint Research Centre (see details blow). Please feel free to forward it to any potentially interested member of your networks. I enjoy the opportunity to whish happy Holidays season to all. Best Regards, Bertrand DE LONGUEVILLE, PhD Head of the Text Mining and Analysis Competence Centre (TMACC) [1601448337241] European Commission Joint Research Centre (JRC) Directorate T:Digital Transformation and Data<https://intracomm.ec.testa.eu/SYSPER2/org/vieworganisationjobs_jd.do?viewOb…> Unit T5 Text and Data Mining [cid:image002.jpg@01D91626.1637BC20] The European Commission Text Mining and Analysis Competence Centre (TMACC - https://knowledge4policy.ec.europa.eu/text-mining/ ), hosted by the Joint Research Centre (JRC), is looking for a Machine Learning expert to reinforce our Natural Language Processing team. The Unit's day-to-day work involves processing vast amounts of textual data, including legal acts, political speeches, discussion fora, news and social media postings, to the benefit Science-for-Policy projects within the EU Institutions. The job is based in Ispra, Italy. An ideal candidate will have a PhD or a minimum of 3 years of professional experience after university, an academic background in Computer Science, Artificial Intelligence or similar, and hands-on experience in developing Text Mining applications. Contract duration: 36 months initial contract with possible renewals up to maximum 6 years. The basic monthly salary for Function Group IV (depending on years of experience): 3 555,98 - 6 593,66€. In addition to the basic salary, the candidate may be eligible for various allowances (including expatriation and household allowances). For further information, see: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52020XC1211(0… The JRC has short-term accommodation facilities for newcomers, nearby the its green campus situated close to Lago Maggiore. The JRC has childcare facilities for children under 4 years old. Children above 4 years can attend the European School of Varese (https://www.eurscva.eu/en/home/ ), for which transport is organised from the surrounding areas. To apply: 1. Create a profile on one of these two application portals: a. EPSO Permanent CAST https://epso.europa.eu/en/documents/2240 OR b. JRC specialised call for researchers https://joint-research-centre.ec.europa.eu/working-us/jobs-jrc/temporary-po… 2. Once you have created your profile via one of the above portals, create your application via: https://recruitment.jrc.ec.europa.eu/?type=AX The available position appears among the open positions with the following identifiers: 2022-IPR-I3-FGIV-022149 Title: FG IV – IT Project Officer – NLP Scientific Research https://recruitment.jrc.ec.europa.eu/showprj.php?type=A&id=2439&target= !! Deadline: 09/01/2023 !!

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CfP: Semantic Methods for Events and Stories (SEMMES 2023)
by Pasquale Lisena 22 Dec '22

22 Dec '22

*************** Semantic Methods for Events and Stories (SEMMES 2023) – Call for Papers *************** Website: https://anr-kflow.github.io/semmes/ Workshop co-located with the Extended Semantic Web Conference (ESWC) Submission deadline: March 9th, 2023 Scope *************** An important part of human history and knowledge is made of events, which can be aggregated and connected to create stories, be they real or fictional. These events as well as the stories created from them can typically be inherently complex, reflect societal or political stances and be perceived differently across the world population. The Semantic Web offers technologies and methods to represent these events and stories, as well as to interpret the knowledge encoded into graphs and use it for different applications, spanning from narrative understanding and generation to fact-checking. The aim of our workshop on Semantic Methods for Events and Stories (SEMMES) is to offer an opportunity to discuss the challenges related to dealing with events and stories, and how we can use semantic methods to tackle them. We welcome approaches which combine data, methods and technologies coming from the Semantic Web with methods from other fields, including machine learning, narratology or information extraction. This workshop wants to bring together researchers working on complementary topics, in order to foster collaboration and sharing of expertise in the context of events and stories. Topics *************** Topics of interest include, but are not limited to: - Ontologies and data models for representing events, event relations, and narratives; - Event extraction, co-reference and linking; - Event Relation extraction and linking (e.g. temporal, causal, modal relationships); - Fake events detection and event verification; - Event-centric question answering; - Event information visualisation; - Event-centric knowledge graphs and vocabularies; - Completion of event-centric knowledge graphs and reasoning; - Event summarisation; - Automatic narrative understanding and generation; - Storytelling Applications/Demos. Submission Guidelines *************** We welcome the following types of contributions. - Long papers (10-15 pages including references) - Short papers (5-9 pages including references) We welcome any types of research, resource and application papers, as well as (short only) demonstration submissions. Submissions must be written in English and formatted using the template for submissions to CEUR Workshop Proceedings (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…) All papers and abstracts have to be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=semmes2023. Each accepted paper needs to be presented by one of the authors, who agrees to register and participate in SEMMES. Important Dates *************** - Submission deadline: March 9th, 2023 - Notifications: April 13th, 2023 - Camera-ready version: April 20th, 2023 - Workshop day: May 28th or 29th, 2023 (half-day, TBA) All deadlines are 23:59 anywhere on earth (UTC-12). Proceedings *************** The complete set of papers will be published with the CEUR Workshop Proceedings (http://CEUR-WS.org), listed by the DBLP. -- Pasquale Lisena EURECOM, Campus SophiaTech 450 route des Chappes, 06410 Biot, France e-mail: pasquale.lisena(a)eurecom.fr site: http://pasqlisena.github.io/

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Jobs: Assistant Professors in AI/CL/NLP at the University of Groningen
by Bisazza, A. 22 Dec '22

22 Dec '22

[Reminder: Application deadline 10 January 2023] The GroNLP group is further expanding and we are looking for enthusiastic assistant professors in any (or related to) the areas of speech and language technology, artificial intelligence, data science, or computational social science. Follow the link for more information! https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Please contact prof. Johan Bos <johan.bos(a)rug.nl> to get more information about these positions! Best regards, -- Arianna Bisazza Assistant Professor University of Groningen http://www.cs.rug.nl/~bisazza

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3rd CfP: 10th International Contrastive Linguistics Conference (ICLC-10)
by Marc Kupietz 22 Dec '22

22 Dec '22

3rd call for papers: ICLC-10 The Leibniz Institute for the German Language in Mannheim is pleased to announce the 10th International Contrastive Linguistics Conference (ICLC-10). The conference will take place in Mannheim, Germany, from 18 to 21 July 2023. The aim of the ICLC conference series, running since 1998, is to encourage fine-grained cross-linguistic research comprising two or more languages from a broad range of theoretical and methodological perspectives. ICLC brings together researchers from different linguistic subfields (and neighboring disciplines) to continue the (interdisciplinary) dialog on comparing languages, to foster the development of an international community, to discuss the state of the art, and to advance possible new areas of cross-linguistic research. Contrastive Linguistics as a linguistic subfield has had a checkered history, but comparative and contrastive work has always been and continues to be an important part of linguistic research. New impulses for comparative and contrastive work include the increasing availability of multilingual corpora or comparative work drawing on naturalistic interaction data. At this anniversary edition of ICLC, we want to provide a stage for the presentation of such new work, and reflect the past, current and future developments of contrastive research in linguistics. We invite contributions addressing (meta)theoretical, methodological or empirical issues, such as (but not limited to) the following: * Comparison of phenomena in two or more languages addressing topics from any area and level of linguistic analysis, including lexicon, phonetics and phonology, morphology, syntax and morphosyntax, semantics, pragmatics as well as matters such as register and socio-cultural context * The state of the art and recent advances in contrastive linguistic research * The aims, objectives and scope of contrastive linguistic research * The status of contrastive research within linguistic studies and its relationship with neighbouring or complementary approaches such as historical, typological, micro-variationist, intercultural and contact linguistics * The link between contrastive studies and fields of applied linguistics such as foreign language teaching and learning, translation studies and corpus linguistics * Potentials and limits of theoretical frameworks in relation to contrastive analysis (e.g., functional, cognitive, interactional, generative, constructional approaches) * Theoretical and theoretical-methodological issues (comparability, incommensurability, the socio-cultural context, tertia comparationis, language universals) * Empirical and data-related methodological issues (parallel / translation corpora, comparable corpora, learner corpora, multimodal corpora, naturalistic data of face-to-face interaction, psycho- and neurolinguistic experiments, surveys) * The significance of the contrastive perspective for language-specific description on the one hand and for cross-linguistic generalizations and the development of linguistic theory on the other hand Some of these issues will be addressed by five invited keynote speakers. Keynote speakers are: * Artemis Alexiadou (Humboldt-Universität zu Berlin and Leibniz-Centre for General Linguistics, Germany) * Jenny Audring (Leiden University, The Netherlands) * Elwys De Stefani (University of Heidelberg, Germany, and KU Leuven, Belgium) * Martin Haspelmath (Max Planck Institute for the Science of Human History, Germany) * Hilde Hasselgård (University of Oslo, Norway) The conference will include a poster session. The conference language will be English. Following the conference, all participants will be offered the possibility to submit their contribution for publication in a volume of selected conference papers. Submission of AbstractsWe invite submissions for 20-minute oral presentations (plus 10 minutes for discussion) or poster presentations. Abstracts should formulate a clear research question and include a description of the methods, results and conclusions. All submissions will be reviewed anonymously by at least two reviewers. One person may submit only one (oral or poster) paper as the first author. The number of co-authored submissions is not limited. However, presenting more than one paper (oral or poster) at the conference by a single person should be avoided. All submissions must be in English, fully anonymous, and no longer than one page (12 point Times New Roman), with up to one additional page for data, figures and references. Abstracts must be submitted via the EasyChair system through the following submission web page https://easychair.org/conferences/?conf=iclc10 Important Dates * 16.01.2023: Deadline for abstract submission * 31.03.2023: Notification of acceptance * 14.04.2023: Confirmation of participation * 18.07.2023: Arrival, Registration, Get-together * 19.-21.07.2023: Conference Conference Web Site https://iclc10.ids-mannheim.de Organizing CommitteeBeata Trawinski (Chair) Marc Kupietz Kristel Proost Jörg Zinken

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Extended dealine, TAL journal, regular issue 64-1
by Emmanuel Morin 22 Dec '22

22 Dec '22

Extended deadline for submission TAL Journal: regular issue http://tal-64-1.sciencesconf.org/ <http://tal-64-1.sciencesconf.org/> 2023 Volume 64-1 Deadline for submission: 01/30/2023 Editors : Cécile Fabre, Emmanuel Morin, Sophie Rosset and Pascale Sébillot TOPICS The journal Automatic Language Processing has an open call for papers. Submissions may concern theoretical and experimental contributions on all aspects of written, spoken, and signed language processing and computational linguistics, both theoretical and experimental, for example: - Computational models of language - Linguistic resources - Statistical learning and modeling - Intermodality and multimodality - Language multiplicity and diversity - Semantics and comprehension - Information access and text mining - Language production and processing/generation/synthesis - Evaluation - Explicability and reproducibility - NLP in interaction with other disciplines, digital humanities This list is indicative. On all topics, it is essential that the aspects related to natural language processing are emphasized. We also welcome position papers and survey papers. LANGUAGE Manuscripts may be submitted in English or French. Submissions in English are accepted only if one of the co-authors is a non French-speaking person. THE JOURNAL TAL (http://www.atala.org/revuetal_ <http://www.atala.org/revuetal_> - Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing) since 1960 with the support of CNRS (National Centre for Scientific Research). It has moved to an electronic mode of publication. IMPORTANT DATES Deadline for submission: 01/30/2023 Notification to authors after first review: 03/30/2023 Notification to authors after second review: 06/15/2023 Publication: October, 2023 FORMAT SUBMISSION Papers must be between 20 and 25 pages long, including references and appendices (with no possible derogation on the length). TAL performs double-blind review: it is thus necessary to anonymise the manuscript and the name of the pdf file and to avoid self references. Style sheets are available for download on the Web site of the journal (https://www.atala.org/content/instruction-authors-style-files-0 <https://www.atala.org/content/instruction-authors-style-files-0>). Authors who intend to submit a paper are encouraged to upload your contribution via the menu "Paper submission" (PDF format). To do so, you will need to have an account on the sciencesconf platform. To create an account, go to the site _http://www.sciencesconf.org_ <http://www.sciencesconf.org_/> and click on "create account" next to the "Connect" button at the top of the page. To submit, come back to the page (soon available) http://tal-64-1.sciencesconf.org/ <http://tal-64-1.sciencesconf.org/>, connect to you account and upload your submission.

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Ukrainian NLP Workshop @ EACL 2023: First CFP and Shared Task
by Mariana Romanyshyn 22 Dec '22

22 Dec '22

*The Second Ukrainian Natural Language Processing Workshop (UNLP 2023)* <https://unlp.org.ua/> *Call For Papers* UNLP 2023 <https://unlp.org.ua/call-for-papers/> will be held online in conjunction with the EACL 2023 conference in May 2023. The workshop will bring together academics, researchers, and practitioners in the fields of Natural Language Processing and Computational Linguistics who work with the Ukrainian language or do cross-Slavic research that can be applied to the Ukrainian language. We hope that the workshop will facilitate developments in the processing of the Ukrainian language, as well as provide a platform for discussion and sharing of ideas, encourage collaboration between different research groups, and improve the visibility of the Ukrainian research community. Topics of interest lie in the area of Ukrainian NLP and Computational Linguistics and include, but are not limited to, the following tasks: - morphosyntactic tagging, - named-entity recognition, - syntactic and semantic parsing, - coreference resolution, - information extraction and text mining, - automated question answering and information retrieval, - language modelling and natural language generation, - grammatical error correction, - text summarization, - machine translation, - sentiment analysis, - argument mining, - disinformation detection and fact verification, - development of language resources and evaluation methods, - speech recognition and generation, - knowledge representation and computational pragmatics, - computational semantics, - computational methods for phonology, - cross-Slavic models, - Ukrainian NLP in interaction with other artificial intelligence technologies. *Shared Task* The Second UNLP features the first *Shared Task in Grammatical Error Correction for Ukrainian*. The Shared Task focuses on correction of grammatical errors and disfluencies, and we see this shared task as an opportunity to facilitate research of GEC for Slavic languages. You can find more details on the web page of the Shared Task <https://unlp.org.ua/shared-task/>. *Important dates* December 22, 2023 — First call for workshop papers January 9, 2023 — Second call for workshop papers February 13, 2023 — Workshop paper due March 13, 2023 — Notification of acceptance March 27, 2023 — Camera-ready papers due May 2 or 6, 2023 — Workshop dates *Keynote speakers* Mona Diab <https://www.linkedin.com/in/mona-diab-55946614/>, The George Washington University, US Gulnara Muratova <https://www.linkedin.com/in/gulnara-muratova-0206/>, QIRI`M YOUNG, Ukraine *Submissions* The workshop will provide Grammarly Premium to all authors. To request Grammarly Premium, please submit the form on the website <https://unlp.org.ua/>. UNLP invites submissions of completed and ongoing projects. Submissions describing resources or solutions that have been made available to the wider public are strongly encouraged. The workshop will also accept papers with negative results. We invite two types of submissions: long and short papers. Long papers should describe original, unpublished and completed work. The short papers may describe work in progress, small focused contributions, system demonstrations, new linguistic resources, or experiments based on existing software and resources. Overlap with previously published work should be clearly mentioned at the time of submission. The authors should indicate in their submission whether the paper has been submitted elsewhere, e.g., to the main conference. In particular, in case the paper has been rejected by the main conference, it should be indicated in the submission. All submissions will be judged on correctness, novelty, technical strength, clarity of presentation, usability, and significance/relevance to the Workshop. Every submission will be reviewed by at least three members of the Program Committee. Paper review will be blind. The papers must not include the authors’ names and affiliations. Self-citations and other references that reveal the authors’ identity must be avoided. Long papers should follow the two-column format of EACL 2023 proceedings not exceeding eight (8) pages of content plus two (2) pages for references. Short paper submissions should follow the same format, and should not exceed five (5) pages for content plus two (2) pages for references. All submissions must conform to the official style guidelines of EACL 2023 <https://unlp.org.ua/call-for-papers/#:~:text=style%20guidelines%20of%20EACL…> contained in the style files and must be in PDF. Camera-ready versions of accepted papers must be provided both in LaTeX and PDF format. *Workshop Organizers* Andrii Hlybovets, National University of Kyiv-Mohyla Academy, Ukraine Oleksii Ignatenko, Ukrainian Catholic University, Ukraine Oleksii Molchanovskii, Ukrainian Catholic University, Ukraine Mariana Romanyshyn, Grammarly, Ukraine *Program Committee* Andrii Babii, Kharkiv National University of Radio Electronics, Ukraine Andrii Liubonko, Grammarly, Ukraine Anna Rogers, University of Copenhagen, Denmark Artem Chernodub, Grammarly, Ukraine Bogdan Babych, Heidelberg University, Germany Bogdana Oliynyk, National University of Kyiv-Mohyla Academy, Ukraine Bohdan Kolchygin, Shelf, Ukraine Dmytro Karamshuk, Meta, UK Dmytro Sytnyk, Institute of Mathematics NAS, Ukraine Galyna Kriukova, National University of Kyiv-Mohyla Academy, Ukraine Igor Samokhin, Grammarly, Ukraine Iuliia Makogon, Semantrum, Ukraine Julia Rogushina, Institute of Software Systems NAS, Ukraine Kostiantyn Omelianchuk, Grammarly, Ukraine Maksym Tarnavskyi, Shelf, Poland Mariana Romanyshyn, Grammarly, Ukraine Natalia Grabar, CNRS, Université de Lille, France Natalia Kocyba, Samsung Research Poland, Poland Nataliia Cheilytko, Friedrich Schiller University Jena, Germany Oleksandr Marchenko, Taras Shevchenko National University of Kyiv, Ukraine Oleksandr Skurzhanskyi, Grammarly, Ukraine Olena Siruk, Bulgarian Academy of Sciences, Bulgaria Olga Kanishcheva, Friedrich Schiller University Jena, Germany Ruslan Chorney, National University of Kyiv-Mohyla Academy, Ukraine Serhii Havrylov, University of Edinburgh, UK Svitlana Galeshchuk, Université Paris Dauphine, BNP Paribas, France Taras Lehinevych, Amazon, Ireland Taras Shevchenko, Proxet (Giphy project), Ukraine Tatjana Scheffler, Ruhr-University Bochum, Germany Thierry Hamon, Université Paris-Saclay, CNRS, LIMSI & Université Sorbonne, France Veronika Solopova, FU Berlin, Germany Volodymyr Taranukha, Taras Shevchenko National University of Kyiv, Ukraine Vsevolod Dyomkin, Projector, Ukraine Yevhen Kupriianov, National Technical University “Kharkiv Polytechnic Institute”, Ukraine *Contact* Email: info(a)unlp.org.ua. Website: https://unlp.org.ua/. Twitter: https://twitter.com/UNLP_workshop. Telegram: https://t.me/UNLP_workshop.

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CfP: Journal of Biomedical Informatics (JBI) Special Issue on Semantics-enabled Biomedical Literature Analytics (Submission deadline: Jan. 15, 2023)
by Halil Kilicoglu 21 Dec '22

21 Dec '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: January 15, 2023 First-round review decisions: March 15, 2023 Deadline for revision submissions: April 15, 2023 Notification of final decisions: June 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 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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AI4EduRes'2023 Artificial Intelligence for Education Resources 10.1.23
by Eric Atwell 21 Dec '22

21 Dec '22

AI4EduRes'2023 10 January 2023 AI4EduRes.github.io<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4edures…> Artificial Intelligence, Data Science and Text Analytics for Education Resources Welcome to our AI4EduRes'2022 Workshop on Artificial Intelligence for Education Resources Hosted by Noorhan Abbas, Abdullah Alsaleh and Eric Atwell, University of Leeds Supported by the Alan Turing Institute https://www.turing.ac.uk/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turin…> Online via Zoom - to join, see: https://AI4EduRes.github.io<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4edures…> PROGRAMME 9:20 Noorhan Abbas, Abdullah Alsaleh and Eric Atwell (University of Leeds): Introduction 09.30 Keynote speaker – Antonio Martínez-Arboleda (University of Leeds) Open Educational Practice for Open Research in Student Education and beyond 10:15 Aisha Walker (University of Leeds) Dialogic Learning 10:30 William Teahan (Bangor University) Agent Inspired Design: The Game of Life but not as we know it 10:45 Coffee Break 11:00 Isabel Fischer, Lichuan Xiang, Aiqi Jiang, Yiran Xu, Zhewei Zhang and Joe Nandhakuma (University of Warwick) AI-generated Formative Essay and Dissertation Feedback 11:15 Abdullah Khered, Hao Zhang, Riza Batista-Navarro and Viktor Schlegel (University of Manchester). A Pipeline for Generating Fact-checking Explanations 11:30 Alex Coleman (University of Leeds) Reproducible Notebooks for Text Analytics 11:45 Lunch Break 13:00 Martin Callaghan (University of Leeds) Building Chatbots in the Cloud 14:00 Yijing Li (Kings College London) Airbnb Listings Analysis and Story Telling - Taking London and Westminster City Council as an example 15:00 Coffee Break 15:15 Alaa Alsaqer (King Faisal University and University of Leeds) How to create a coffee machine system with Python 15:30 Salwa Alahmari (University of Dammam and University of Leeds) Social Media Resources for Arabic Dialects and Variations 15:45 Abdullah Alsaleh (King Abdulaziz University and University of Leeds) Quran Verse Similarity Classification Task using Arabic Pre-trained Models 16:00 Ibtisam Alshammari (University of Hafr Al-Batin and University of Leeds) Using Arabic Named Entity Recognition Models 16:15 Noorhan Abbas, Abdullah Alsaleh and Eric Atwell: Workshop conclusions and future directions 16:30 CLOSE

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First Call for Participation- IWSLT 2023
by Atul K. Ojha 21 Dec '22

21 Dec '22

Apologies for cross-posting. ---------------------------------------- *The International Conference on Spoken Language Translation* ACL – 20th IWSLT 2023 *July 13-14, 2023 – Toronto, Canada* *http://iwslt.org <http://iwslt.org/>* The International Conference on Spoken Language Translation (IWSLT) is the premier annual conference for all aspects of Spoken Language Translation. Every year, the conference organizes and sponsors open evaluation campaigns around key challenges in simultaneous and consecutive translation, under real-time/low latency or offline conditions and under low-resource or multilingual constraints. System descriptions and results from participants’ systems and scientific papers related to key algorithmic advances and best practice are presented. IWSLT is the venue of the SIGSLTs, the Special Interest Group on Spoken Language Translation of ACL, ISCA and ELRA. With a track record of 19 years, IWSLT benchmarks and proceedings serve as reference for all researchers and practitioners working on speech translation and related fields. In 2023, IWSLT will be co-located with ACL 2023 and will be run as a hybrid meeting. Important Dates January 14, 2023: Release of shared task training and dev data April 24, 2023: Scientific paper submission deadline April 01-15, 2023: Evaluation period May 22, 2023: Notification of acceptance June 06, 2023: Camera-ready paper due July 12, 2023: Pre-recorded video due July 13-14, 2023: Conference Evaluation IWSLT 2023 features shared tasks <https://iwslt.org/2023/#shared-tasks> that address the following focus areas: - Speech translation of talks - Speech-to-speech translation of multi-source data: - Speech dubbing of multi-source data - Dialectal and Low-resource speech translation - Formality control for SLT Training and development data for each shared task will be prepared and released by the respective organizers (for further information on this initiative, please refer to the website). Participants will receive instructions about how to submit their runs. In addition, participants have the opportunity to present their work through a system paper that will be published in the ACL Proceedings. Conference IWSLT also invites submissions of scientific papers to be published in the ACL Proceedings and presented either in oral or poster format. The conference selects high-quality, original contributions on theoretical and practical issues of spoken language translation research, technologies and applications. Contact Please send an email to iwslt-evaluation-campaign(a)googlegroups.com if you have any questions related to the shared tasks. Thanks, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul (IWSLT organisers)

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Call for Participants: Make a Difference in the AI Economy - Join the HitAI Program Committee
by Fabio Massimo Zanzotto 21 Dec '22

21 Dec '22

Dear all, Artificial Intelligence (AI) is ready for the next giant leap: An AI that constantly repays knowledge producers ( <https://sites.google.com/view/hitai> HitAI) The time is now. Artists, programmers, and many others are asking for it. Today AI economy is a giant with feet of clay since it is based on the unfair exploitation of human resources: knowledge is often used without repaying knowledge producers. Resilient industrial sectors have to consider fairness in the use of all resources to ensure their permanence over time. We are organizing a workshop. Are you interested? Fill out this form: https://forms.gle/ZMKEH4o5K6PjPaJE7 Best regards, Fabio Massimo

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Postdoctoral Research Fellow in Text Mining
by Bea Alex 20 Dec '22

20 Dec '22

Postdoctoral Research Fellow in Text Mining at the University of Edinburgh We are looking for a Postdoctoral Research Fellow to help annotate and analyse a large corpus of bilingual folklore narratives (Irish and Scottish Gaelic) computationally using various text-mining techniques. These will include phylogenetics, topic modelling, clustering, sequence alignment and neural word embeddings. The post holder will join an interdisciplinary and international research team working on the project "Decoding Hidden Heritages in Gaelic Traditional Narrative with Text-Mining and Phylogenetics”. Fixed Term: 1 March 2023 – 30 June 2024 Deadline: 10/01/2023, 17:00 For more information see the full job description here<https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>. -------------------------------------------------------------- Dr. Beatrice Alex Senior Lecturer and Chancellor’s Fellow University of Edinburgh The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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First CfP: Linguistic Annotation Workshop (LAW) @ ACL 2023
by Friedrich Annemarie (CR/AIR3 GS/PJ-TOP98) 20 Dec '22

20 Dec '22

First Call for Papers The 17th Linguistic Annotation Workshop (LAW-XVII)<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsigann.gi…> LAW-XVII will be the 17th annual meeting endorsed by the ACL Special Interest Group for Annotation (SIGANN). It will take place in July 2023 at ACL in Toronto, Canada. Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. The LAW-XVII will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised "human in the loop" methods of annotation, crowd-sourcing approaches, and more. The LAW will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. Special Theme The special theme of LAW-XVII is "Ethics and Annotation." In addition to LAW's general topics, we specifically invite submissions on the following topics: * Aspects of ethics related to annotation work: How do we treat annotators? How do we ensure that they feel good about the work that they are doing? Are there dangers related to psychological health? * Aspects of ethics related to bias. * Ethics in crowd-sourcing annotation scenarios. * Annotation of information regarding ethics in text. * Any other topics related to the special theme. Submissions We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: * Annotation procedures * Innovative automated and manual strategies for annotation * Machine learning and knowledge-based methods for automation of corpus annotation * Creation, maintenance, and interactive exploration of annotation structures and annotated data * Annotation evaluation * Inter-annotator agreement and other evaluation metrics and strategies * Qualitative evaluation of linguistic representations * Innovative means to evaluate annotation quality * Annotation access and use * Representation formats/structures for annotations of different phenomena, especially annotations at multiple levels, and means to explore/manipulate them * Linguistic considerations for merging annotations of distinct phenomena * Annotation schemes, guidelines and standards * New and innovative annotation schemes, comparison of annotation schemes * Methodologies and resources for annotation scheme development * Best practices for annotation procedures and/or development and documentation of annotation schemes * Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages * Results from the application and evaluation of standards for linguistic annotation * Annotation software and frameworks * Development, evaluation and/or innovative use of annotation software frameworks Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.co…>. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Note: The supplementary material does not count towards page limit and should not be included in paper, but should be submitted separately using the appropriate field on the submission website. All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors' identity--e.g., "We previously showed (Smith, 1991) ..." should be replaced with citations such as "Smith (1991) previously showed ...". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop co-chairs (law-2023-chairs(a)googlegroups.com<mailto:law-2023-chairs@googlegroups.com>). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. We follow previous and current ACL policy to establish an anonymity period (from submission to author notification) during which non-anonymous posting of preprints is not allowed. Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. The submission site will be announced shortly. If you have any questions, please feel free to contact the program co-chairs at law-2023-chairs(a)googlegroups.com<mailto:law-2023-chairs@googlegroups.com> or check the workshop website (https://sigann.github.io/LAW-XVII-2023/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsigann.gi…>) for updates. Dates (All submission deadlines are 11:59 p.m. UTC-12:00 "anywhere on Earth") Anonymity period starts: 7th March 2023 Preliminary submission of long and short papers: 7th April 2023 Submission, notification, and camera-ready dates to be announced in January 2023 Workshop: 13th or 14th July, 2023 (TBD) Workshop Organizers Annemarie Friedrich (Program Co-Chair) Jakob Prange (Program Co-Chair) Amir Zeldes (ACL SIGANN President) Ines Rehbein (ACL SIGANN Secretary) Program Committee Omri Abend (Hebrew University of Jerusalem) Melanie Andresen (University of Stuttgart) Aditya Bhargava (University of Toronto) Claire Bonial (Army Research Laboratory) Marie Candito (Université Paris Cité) Emmanuele Chersoni (The Hong Kong Polytechnic University ) Christian Chiarcos (University of Cologne) Kathryn Conger (University of Colorado Boulder ) Stefanie Dipper (Ruhr University Bochum) Lucia Donatelli (Saarland University) Jonathan Dunn (University of Canterbury) Federico Fancellu (3M Health Information Services) Pablo Faria (University of Campinas) Nizar Habash (New York University Abu Dhabi) Udo Hahn (Friedrich Schiller University Jena) Andrea Horbach (University of Hagen) Chu-Ren Huang (Hong Kong Polytechnic University) Nancy Ide (Brandeis University) Sandra Kuebler (Indiana University) Ekaterina Lapshinova-Koltunski (University of Hildesheim) Els Lefever (LT3, Ghent University) Lori Levin (Carnegie Mellon University) Katja Markert (Heidelberg University) Marie-Catherine de Marneffe (FNRS - UCLouvain - The Ohio State University) Adam Meyers (New York University) Philippe Muller (IRIT, University of Toulouse) Anna Nedoluzhko (Charles University) Simon Ostermann (German Research Centre for Artificial Intelligence (DFKI)) Alexis Palmer (University of Colorado Boulder) Antonio Pareja-Lora (SIC, UCM/OEG, UPM) Miriam R. L. Petruck (International Computer Science Institute) Barbara Plank (Ludwig Maximilian University of Munich) Massimo Poesio (Queen Mary University of London) Sameer Pradhan (LDC, Cemantix) James Pustejovsky (Brandeis University) Ines Rehbein (Mannheim University) Michael Roth (University of Stuttgart) Josef Ruppenhofer (Leibniz Institute for the German Language) Nathan Schneider (Georgetown University) Djamé Seddah (Inria Paris) Manfred Stede (University of Potsdam) Joel Tetreault (Dataminr, Inc.) Katrin Tomanek (Open Table) Bonnie Webber (University of Edinburgh) Michael Wiegand (University of Klagenfurt) Andreas Witt (Leibniz Institute for the German Language) Fei Xia (University of Washington) Nianwen Xue (Brandeis University) Amir Zeldes (Georgetown University) Deniz Zeyrek (Middle East Technical University) Heike Zinsmeister (University of Hamburg)

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Postdoctoral researcher in Speech Recognition and Language Modelling
by Kurimo Mikko 20 Dec '22

20 Dec '22

Short version: The speech recognition group at Aalto University, Finland, focuses on new machine learning methods in automatic speech recognition and language modelling. I'm now looking for a postdoc for 1-4 years to start in spring 2023. The position requires a relevant doctoral degree in CS or EE and skills for doing excellent research in an (English-speaking) group. The application, CV, list of publications, references and requests for further information should be sent by email to Prof. Mikko Kurimo (mikko.kurimo at aalto.fi). The DL for applications is February 15, but we will process the applications as soon as we receive them, even before the DL. Mikko Kurimo Head of the research group —---------------------------------------------------------------------------------------------------- Long version: Postdoctoral researcher in Speech Recognition and Language Modelling The speech recognition group at Aalto University, Finland, focuses on new machine learning methods in automatic speech recognition (ASR) and language modelling. The group started to develop state-of-the-art unlimited vocabulary ASR systems already in the 1980's and 90’s led by Academician Prof. Kohonen. Since 2000 led by Prof. Mikko Kurimo, the group has done pioneering work in unlimited vocabulary language modelling using unsupervised subword units. One of the top achievements is winning the 3rd Multi-Genre Broadcast ASR challenge, where the top research groups in the field were challenged to build a recognizer for an under-resourced language using machine learning methods. Since that the group has also been ranked high in Interpeech children ASR and ComParE paralinguistics challenges. Recently, the group prepared and released two new large-scale open speech datasets for training and benchmarking ASR systems: nearly 4000 hrs of transcribed audiovisual data on Parliament sessions 2008-2020 and another nearly 4000 hrs of spontaneous speech from over 250 000 voluntary donations by Finnish speakers: https://www.kielipankki.fi/donate-speech/ and https://www.kielipankki.fi/corpora/fi-parliament-asr/ The speech recognition group led by Prof. Kurimo consists of 2 research fellows and 9 PhD students that bring together expertise from speech and language processing, deep learning and toolkits such as Kaldi, PyTorch and SpeechBrain. We are working on a wide variety of topics, ranging from purely research focused to applications where the systems can be into real-world use cases. We operate in a well-connected academic environment using excellent GPU and CPU computing facilities (including access to Europe’s fastest supercomputer LUMI) and have well equipped office space at Aalto University Otaniemi campus that is only 10 minutes subway connection away from downtown Helsinki. We are now looking for a postdoc for 1-3 years to start in spring 2023 on any of these projects: - large-scale ASR for Finnish based on a combination of unsupervised pre-training for transformers, supervised training with up to 5000 hours of transcribed speech data on general topics and fine-tuning with a small amount task-specific speech data and language models - multimodal ASR using attention to multiple modalities and time spans - ASR for games and second language learning and assessment The position requires a relevant doctoral degree in CS or EE, skills for doing excellent research in an (English-speaking) group, and outstanding research experience in at least one of the research themes and programming at one of the toolkits mentioned above. The candidate is expected to perform high-quality research and participate in the supervision of talented MSc and PhD students. The application, CV, list of publications, references and requests for further information should be sent by email to Prof. Mikko Kurimo (mikko.kurimo at aalto.fi). The DL for applications is February 15, but we will process the applications as soon as we receive them, even before the DL. Aalto University is a new university created in 2010 from the merger of the Helsinki University of Technology, Helsinki School of Economics and the University of Art and Design Helsinki. The University’s cornerstones are its strengths in education and research, with 20,000 basic degree and graduate students. In addition to a decent salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The Helsinki Metropolitan area forms a world-class information technology hub, attracting leading scientists and researchers in various fields of ICT and related disciplines. Moreover, as the birthplace of Linux, and the home base of Nokia Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. See more e.g. at http://www.investinfinland.fi/. As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world. See more at https://finland.fi

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“Digital Humanities” Faculty Position at Open University of Cyprus
by Loizos Michael 20 Dec '22

20 Dec '22

Dear colleagues, The Open University of Cyprus invites applications for the following position in the Faculty of Humanities and Social Sciences: * One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of “Digital Humanities”. Indicative areas include Natural Language Processing, language corpora, creation of digital databases, digital Lexicography, Information Technology in Education, with an emphasis on the teaching and learning of Greek, digital environments and tools for History, Archaeology, ?heatre, Cultural Studies, Greek Language and Literature, Digital Media, etc. More information here: https://www.ouc.ac.cy/index.php/en/university/vacancies/academic-personnel/… Regards, Loizos

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PhD position in NLP & Information Extraction at HHU Düsseldorf
by Laura Kallmeyer 20 Dec '22

20 Dec '22

Starting from May 2023, the Data & Knowledge Engineering group at Heinrich-Heine-University (HHU, Düsseldorf), affiliated with Knowledge Technologies for Social Sciences (KTS, https://www.gesis.org/en/kts) at GESIS (Cologne) and the Computational Linguistics department at HHU ( https://www.ling.hhu.de/bereiche-des-institutes/abteilung-fuer-computerling… ) are looking for a *PhD student– Information Extraction & Natural Language Processing* (Salary group 13 TV-L, working time 75%-100%, initially limited to 36 months with the possibility of further extension) In the context of the research project "NewOrder", we are investigating scientific online discourse in news & social media, in an interdisciplinary consortium involving researchers from Computer Science, Psychology, Political and Communication Science. Our research will be concerned with novel Natural Language Processing (NLP) methods for the analysis of scientific online discourse (e.g. on Twitter) addressing challenges arising from its informal nature and heterogeneity. For instance, references to scientific works (e.g. publications, studies, datasets), scientists or scientific organisations are often provided in informal and ambiguous ways. Other challenges include the dynamically evolving vocabulary posing challenges for reuse and adaptation of both pretrained language models as well as NLP models finetuned towards specific downstream tasks. Hence, detecting and disambiguating informal science discourse and associated claims remains a challenging problem. Your tasks will be: ******************* * Research in fields such as NLP, Machine Learning, Language Modeling and Representation learning, specifically with the aim to extract structured information from online discourse data * Develop NLP methods for (i) the detection, disambiguation and classification of sources of science-related information on social media, (ii) assessing the quality and credibility of sources and claims and (iii) investigating implicit language cues for cognitive states and source characteristics/traits * Writing, publishing and presenting project results * Collaboration with team members and project partners in an interdisciplinary consortium Your profile: ************** * University degree (diploma/MSc) in Computer Science, Computational Linguistics or related fields * Research interests in NLP, machine learning, data mining, large language models * Hands-on experience with Python and handling big datasets, ideally experience with Big Data Frameworks (e.g. Spark/Hadoop) * Knowledge of ML-Frameworks such as TensorFlow and PyTorch * Ability to communicate fluently in English mandatory, basic knowledge of the German language desirable What we offer: *************** * Flexible working hours and home office arrangements * A fast growing and international working environment with a lot of creative scientific freedom * Access to unique research data, (social) web archives and behavioral data * Support of collaborations with international research labs and experts through an extensive international exchange programme The PhD research will be supervised by Prof. Dr. Stefan Dietze (Scientific Director of KTS at GESIS and Professor for Data & Knowledge Engineering at HHU) & Prof. Dr. Laura Kallmeyer (Chair of Computational Linguistics department at HHU). For further information please contact Stefan Dietze (stefan.dietze(a)hhu.de) and/or Laura Kallmeyer (kallmeyer(a)phil.uni-duesseldorf.de). Interested? ************* Please apply by sending your complete application documents as a single PDF file to kallmeyer(a)phil.hhu.de by 20 January 2023. -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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CfP: WWW workshop on Online Social Networks in the Human-centric Metaverse
by Arkaitz Zubiaga 20 Dec '22

20 Dec '22

CALL FOR PAPERS ACM OSNeHM 2023 First International workshop on Online Social Networks in the Human-centric Metaverse co-located with The Web Conference 2023 Austin, Texas, USA APRIL 30 - MAY 4, 2023 https://osnehm.iit.cnr.it/ ____________________________________________________________________ SCOPE AND OVERVIEW __________________ The cyber and physical worlds are increasingly becoming indistinguishable. This is fostered by enabling technologies such as IoT and pervasive networks, advanced data management and analytics techniques, and advanced platforms with massive diffusion, chiefly among them Online Social Networks. Whatever we do in one world has immediate consequences on the other world, thanks to a constant flow of data - and online analytics - between the two worlds. In this context, the vision of the Metaverse provides additional perspectives, augmenting human interactions with things and other humans across the two worlds. The role of the humans in this socio-technical complex system is key, and still largely unexplored. Quite interestingly, while new tools characteristic of the cyber-physical world - OSN among them - have been designed to largely extend human capabilities, the real interplay between these tools and human behaviours and cognitive constraints often result in unexpected results. Therefore, while humans are in principle at the center of the cyber-physical convergence and, thus -- in the perspective -- of the Metaverse, the interplay between both worlds and the technical solutions underpinning this convergence are hitherto largely unexplored and yet to be understood. This is a big gap our community should feel, in order to develop cyber-physical worlds (and the Metaverse) as a truly human-centric environment. OSNeHM’s main theme will be the role of Online Social Networks in such a human-centric cyber-physical convergence leading to the Metaverse. It will provide a forum for discussion on early yet principled approaches and results on all aspects related to this theme. A special emphasis will be devoted to the characterisation of the individual and social behaviour of humans, using OSN as “big data microscopes” for collecting and analysing big data via robust big data analytics. Papers discussing solutions focusing on the interplay between social and technical (online and offline) worlds will be high welcome. On the other hand, the workshop will welcome papers proposing novel technical solutions to support human-centric approaches to the evolution of OSN in the perspective of the Metaverse. Specific topics of interest include, but are not limited to, the following: * OSNeHM platforms, protocols and applications; * OSN and Metaverse services & applications; * Decentralised, mobile and location-based OSNeHM; * Trust, reputation, privacy and security in OSNeHM; * Dynamics of trends, information and opinion diffusion in OSNeHM; * Fake news, toxicity radicalization and disinformation in OSNeHM; * Detecting, modeling and tackling Online harms in OSNeHM; * Recommendations and advertising in OSNeHM; * Measurement, analysis and modeling of popular OSN (Facebook, Twitter, Instagram, Flickr, etc.), including decentralized ones (e.g., Mastodon, Pleroma, ...); * Data mining, and machine learning in OSNeHM systems; * Social media analysis and social analytics in the perspective of OSNeHM; * Information extraction and search in OSNeHM; * Complex-network analysis of OSNeHM; * Modeling of social behavior through OSN data; * Crowdsourcing and OSNeHM; * Multidisciplinary applications of OSNeHM (economics, medicine, society, politics, homeland security, psychology, etc.) PAPER FORMAT AND SUBMISSION INSTRUCTIONS ________________________________________ Papers that have been previously published or are under review for another journal, conference or workshop will not be considered for publication. Submitted papers should not exceed 12 pages in length (maximum 8 pages for the main paper content + maximum 2 pages for appendixes + maximum 2 pages for references). Papers must be submitted in PDF format according to the ACM template published in the ACM guidelines, selecting the generic “sigconf” sample. The PDF files must have all non-standard fonts embedded. Workshop papers must be self-contained and in English. Submissions that do not follow these guidelines may be rejected without review. Further, at least one author of each accepted workshop paper has to register for the main conference. Workshop attendance is only granted for registered participants. Accepted papers will be included in the workshop proceedings, which will be published as companion proceedings of The Web Conference, and indexed according to the main conference policy. Please follow the submission link at: https://easychair.org/conferences/submissions?a=29997356 and select the full name of the workshop in the submission list. AWARDS AND EDITORIAL FOLLOW-UPS _______________________________ We will consider assigning a best paper award. We will organise a special issue on the Elsevier Online Social Networks and Media (OSNEM) Journal https://www.journals.elsevier.com/online-social-networks-and-media/ soliciting submissions of extended versions of particularly promising papers. OSNEM is a recent yet very well-reputed (Q1 SJR) journal covering, among others, 100% of the workshop topics. IMPORTANT DATES (all deadlines are AoE) _______________ 23rd January 2023: Abstract submission deadline 6th February 2023: Workshop paper submission deadline 6th March 2023: Workshop paper (acceptance) notification 20th March 2023: Workshop papers camera-ready deadline 31st March 2023: Final program (with duration) provided to Workshop Track leads 1st or 2nd May 2023: Workshops at WWW2023 ORGANISING COMMITTEE ____________________ Workshop chairs: * Marco Conti, IIT-CNR, Italy * Andrea Passarella, IIT-CNR, Italy * Jussara M. Almeida, Universidade Federal de Minas Gerais, Brazil * Arkaitz Zubiaga, Queen Mary University of London, UK Technical Program Committee (TBC) For more information, please write to the workshop co-chairs at osnehm23 <at> iit <dot> cnr <dot> it

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Clickbait Spoiling at SemEval 2023: 2nd Call for Participation
by maik.froebe＠uni-jena.de 19 Dec '22

19 Dec '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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Azimut Research Award - Deadline approaching: December, 23rd 2022
by Fabio Massimo Zanzotto 19 Dec '22

19 Dec '22

Don't miss the deadline (December, 23rd 2022) to submit your proposal for the Research Award! Propose YOUR solution for interpreting old databases! Dinosaur databases are running the world! As relics of the early steps of the information era, these Databases are still the basis of many economic transactions. Although their age, it seems extremely difficult to replace them with novel and faster solutions. These databases were written in a wonderful era in which memory was a problem. Hence, variable, table, and column names were short and cryptic. Moreover, documents describing these names are buried in forgotten places if they still exist. The challenge is, then, giving sense to these dinosaur databases to help software engineers to produce the novel version. Ready to apply? Azimut is looking forward to your submission! Deadline: December, 23rd 2022 More info at: <https://www.azimut.it/it/az-venture-tech-challenge> https://www.azimut.it/it/az-venture-tech-challenge Azimut (https://www.azimut.it), a leading wealth management company in Europe, offers a Research Award to whoever can propose a solution to interpret old databases.

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Text2Story@ECIR’23 Call for Participation
by Hugo Oliveira Sousa 19 Dec '22

19 Dec '22

*** Apologies for cross-posting *** ++ CALL FOR PAPERS ++ **************************************************************************** Sixth International Workshop on Narrative Extraction from Texts (Text2Story'23) Held in conjunction with the 45th European Conference on Information Retrieval (ECIR'23) April 2nd, 2023 - Dublin, Ireland Website: https://text2story23.inesctec.pt<https://text2story23.inesctec.pt/> **************************************************************************** ++ Important Dates ++ - Submission deadline: January 23rd, 2023 - Acceptance Notification Date: March 3rd, 2023 - Camera-ready copies: March 17th, 2023 - Workshop: April 2nd, 2023 ++ Overview ++ Recent years have shown a stream of continuously evolving information making it unmanageable and time-consuming for an interested reader to track and process and to keep up with all the essential information and the various aspects of a story. Automated narrative extraction from text offers a compelling approach to this problem. It involves identifying the sub-set of interconnected raw documents, extracting the critical narrative story elements, and representing them in an adequate final form (e.g., timelines) that conveys the key points of the story in an easy-to-understand format. Although, information extraction and natural language processing have made significant progress towards an automatic interpretation of texts, the problem of automated identification and analysis of the different elements of a narrative present in a document (set) still presents significant unsolved challenges ++ List of Topics ++ In the sixth edition of the Text2Story workshop, we aim to bring to the forefront the challenges involved in understanding the structure of narratives and in incorporating their representation in well-established models, as well as in modern architectures (e.g., transformers) which are now common and form the backbone of almost every IR and NLP application. It is hoped that the workshop will provide a common forum to consolidate the multi-disciplinary efforts and foster discussions to identify the wide-ranging issues related to the narrative extraction task. To this regard, we encourage the submission of high-quality and original submissions covering the following topics: * Narrative Representation Models * Story Evolution and Shift Detection * Temporal Relation Identification * Temporal Reasoning and Ordering of Events * Causal Relation Extraction and Arrangement * Narrative Summarization * Multi-modal Summarization * Automatic Timeline Generation * Storyline Visualization * Comprehension of Generated Narratives and Timelines * Big Data Applied to Narrative Extraction * Personalization and Recommendation of Narratives * User Profiling and User Behavior Modeling * Sentiment and Opinion Detection in Texts * Argumentation Analysis * Bias Detection and Removal in Generated Stories * Ethical and Fair Narrative Generation * Misinformation and Fact Checking * Bots Influence * Narrative-focused Search in Text Collections * Event and Entity importance Estimation in Narratives * Multilinguality: Multilingual and Cross-lingual Narrative Analysis * Evaluation Methodologies for Narrative Extraction * Resources and Dataset Showcase * Dataset Annotation for Narrative Generation/Analysis * Applications in Social Media (e.g. narrative generation during a natural disaster) * Language Models and Transfer Learning in Narrative Analysis * Narrative Analysis in Low-resource Languages ++ Dataset ++ We challenge the interested researchers to consider submitting a paper that makes use of the tls-covid19 dataset (published at ECIR'21) under the scope and purposes of the text2story workshop. tls-covid19 consists of a number of curated topics related to the Covid-19 outbreak, with associated news articles from Portuguese and English news outlets and their respective reference timelines as gold-standard. While it was designed to support timeline summarization research tasks it can also be used for other tasks including the study of news coverage about the COVID-19 pandemic. A script to reconstruct and expand the dataset is available at https://github.com/LIAAD/tls-covid19. The article itself is available at this link: https://link.springer.com/chapter/10.1007/978-3-030-72113-8_33 ++ Submission Guidelines ++ We invite two kinds of submissions: * Full papers (up to 7 pages + references): Original and high-quality unpublished contributions on the theory and practical aspects of the narrative extraction task. Full-papers should introduce existing approaches, describe the methodology and the experiments conducted in detail. Negative result papers to highlight tested hypotheses that did not get the expected outcome are also welcomed. * Work in progress, demos and dissemination papers (up to 4 pages + references): unpublished short papers describing work in progress; demo and resource papers presenting research/industrial prototypes, datasets or software packages; position papers introducing a new point of view, a research vision or a reasoned opinion on the workshop topics; and dissemination papers describing project ideas, ongoing research lines, case studies or summarized versions of previously published papers in high-quality conferences/journals that is worthwhile sharing with the Text2Story community, but where novelty is not a fundamental issue. Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they don't conflict with previous publication rights. ++ Workshop Format ++ Participants of accepted papers will be given 15 minutes for oral presentations. ++ Organizing committee ++ Ricardo Campos (INESC TEC; Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal) Alípio M. Jorge (INESC TEC; University of Porto, Portugal) Adam Jatowt (University of Innsbruck, Austria) Sumit Bhatia (Media and Data Science Research Lab, Adobe) Marina Litvak (Shamoon Academic College of Engineering, Israel) ++ Proceedings Chair ++ João Paulo Cordeiro (INESC TEC & Universidade da Beira do Interior) Conceição Rocha (INESC TEC) ++ Web and Dissemination Chair ++ Hugo Sousa (INESC TEC & University of Porto) Behrooz Mansouri (Rochester Institute of Technology) ++ Program Committee ++ Álvaro Figueira (INESC TEC & University of Porto) Andreas Spitz (University of Konstanz) Antoine Doucet (Université de La Rochelle) António Horta Branco (University of Lisbon) Arian Pasquali (CitizenLab) Bart Gajderowicz (University of Toronto) Begoña Altuna (Universidad del País Vasco) Brenda Santana (Federal University of Rio Grande do Sul) Bruno Martins (IST & INESC-ID, University of Lisbon) Daniel Loureiro (Cardiff University) Dennis Aumiller (Heidelberg University) Dhruv Gupta (Norwegian University of Science and Technology) Dyaa Albakour (Signal UK) Evelin Amorim (INESC TEC) Henrique Cardoso (INESC TEC & University of Porto) Ismail Altingovde (Middle East Technical University) João Paulo Cordeiro (INESC TEC & University of Beira Interior) Kiran Bandeli (Walmart Inc.) Luca Cagliero (Politecnico di Torino) Ludovic Moncla (INSA Lyon) Marc Finlayson (Florida International University) Marc Spaniol (Université de Caen Normandie) Moreno La Quatra (Politecnico di Torino) Nuno Guimarães (INESC TEC & University of Porto) Pablo Gamallo (University of Santiago de Compostela) Pablo Gervás (Universidad Complutense de Madrid) Paulo Quaresma (Universidade de Évora) Paul Rayson (Lancaster University) Raghav Jain (Indian Institute of Technology, Patna) Ross Purves (University of Zurich) Satya Almasian (Heidelberg University) Sérgio Nunes (INESC TEC & University of Porto) Simra Shahid (Adobe's Media and Data Science Research Lab) Sriharsh Bhyravajjula (University of Washington) Udo Kruschwitz (University of Regensburg) Veysel Kocaman (John Snow Labs & Leiden University) ++ Contacts ++ Website: https://text2story23.inesctec.pt For general inquiries regarding the workshop, reach the organizers at: text2story2023(a)easychair.org<mailto:text2story2023@easychair.org>

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Fully funded PhD studentships in NLP, Queen Mary University of London
by Matthew Purver 19 Dec '22

19 Dec '22

A number of funded PhD studentships in NLP/computational linguistics are available in the Computational Linguistics Lab in the School of Electronic Engineering and Computer Science at Queen Mary University of London, UK, for September 2023 entry. Studentships are available on a range of specified topics with particular supervisors. Funding conditions, length of studentship and eligibility vary with topic - please see the links in the list below for details. - Unsupervised text anonymisation using pre-trained language models: Dr Julia Ive <https://julia-ive.github.io/>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…> . - Understanding word embeddings via their algebraic-topological structures: Dr. Haim Dubossarsky <https://scholar.google.com/citations?user=2EDsENQAAAAJ>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…>. - Prompt-based learning for adaptive context-dependent NLP: Prof. Matthew Purver <http://www.eecs.qmul.ac.uk/~mpurver/>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…> . - Evaluating and Learning with Disagreements: Prof. Massimo Poesio <http://www.massimopoesio.org/>, funded via CSC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…>. - Next-generation NLP methods for meaning change: Dr. Haim Dubossarsky <https://scholar.google.com/citations?user=2EDsENQAAAAJ>, funded via QMUL's Principal's fund (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…> . - Meaning coordination in dialogue: Prof. Matthew Purver <http://www.eecs.qmul.ac.uk/~mpurver/>, funded via EPSRC (see here) <http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…> . More details on the topics and funding conditions are available from this page: http://eecs.qmul.ac.uk/phd/phd-studentships/ If you are interested, please get in touch with the relevant supervisor directly. Final applications are due by 31st January 2023. -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are Tuesday-Thursday; responses to mail on other days may be delayed.*

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Postdoctoral Research Associate LATIF project University of Liverpool
by Musi, Elena 18 Dec '22

18 Dec '22

At the University of Liverpool (Department of Communication and Media), we are hiring a Postdoctoral Research Associate in the frame of the project "Leveraging Argument Technology for impartial factchecking", funded by the Calouste Gulbenkian Foundation<https://www.linkedin.com/company/fcgulbenkian/> (European Media and Information Fund). For info about the project: For info about the project: https://gulbenkian.pt/emifund/projects/leveraging-argument-technology-for-i… Job spec available at: https://my.corehr.com/pls/ulivrecruit/erq_jobspec_version_4.display_form Please share with your communities! Thanks, All best Elena Musi Senior Lecturer (Associate Professor) University of Liverpool

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Release: six dialect corpora (Palestinian, Lebanese, Yemeni, Irqi, Libyan, and Sudanese)
by Mustafa Jarrar 18 Dec '22

18 Dec '22

Dear all, We are happy to release six corpora (1.3 Million tokens) with full morphological annotations for (Palestinian, Lebanese, Yemeni, Iraqi, Libyan, and Sudanese) dialects. All are annotated using the LDC’s SAMA tagsets. Search: https://portal.sina.birzeit.edu/curras Download: https://portal.sina.birzeit.edu/curras/about-en.html This video demonstrates how to search the corpora in Arabic/English. https://twitter.com/mjarrar/status/1604078695068598273 #arabic_language_day We are very happy to release 6 Arabic dialects corpora (1.3 million tokens, morphologically annotated): Curras(Palestinian), Baladi (Lebanese), Lisani (Yemeni, Irqi, Libyan, Sudanese) by @UN, @BirzeitU and @AUB_Lebanon. https://t.co/ZP3hqVSRWc Mustafa Jarrar twitter.com Best --Mustafa __________________________ Mustafa Jarrar, PhD Professor of Artificial Intelligence Chair, PhD Program in Computer Science Birzeit University, Palestine Whatsapp:+972599662258 | mjarrar(a)birzeit.edu http://www.jarrar.info

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Maknuune: The Open Palestinian Arabic Lexicon (v1.0)
by Nizar Habash 18 Dec '22

18 Dec '22

Dear all -- In celebration of Arabic Language Day (Dec 18), we are happy to announce the first release of Maknuune, the Open Source Palestinian Arabic Lexicon. www.palestine-lexicon.org Maknuune has over 36K entries from 17K lemmas, and 3.7K roots. All entries include diacritized Arabic orthography, phonological transcription and English glosses. Some entries are enriched with additional information such as broken plurals and templatic feminine forms, associated phrases and collocations, Standard Arabic glosses, and examples or notes on grammar, usage, or location of collected entry. We are honored to have received comments of endorsement from Profs. Noam Chomsky, Hamid Dabashi, Abdelkader Fassi Fehri, Clive Holes, Ilan Pappe, and Dr. Walid Saif. https://sites.google.com/nyu.edu/palestine-lexicon/endorsements -- Nizar Habash Professor of Computer Science New York University Abu Dhabi

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Fully funded PhD in NLP, London (QMUL)
by Haim Dubossarsky 16 Dec '22

16 Dec '22

A fully funded 4-year PhD position at the intersection of NLP and Topology is offered at Queen Mary University of London (QMUL), School of Electronic Engineering and Computer Science. It is part of the collaboration scheme between QMUL and the China Scholarship Council (CSC), and is therefore available for Chinese candidates only. The CSC scheme provides full tuition fee waiver and living stipend for 4 years, and requires (among other things) an English Language test (IELTS) from the last 2 years. You can read more about the scheme's requirements here <https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholar…> . I am looking for brilliant candidates who hold (or about to hold) MSc in Computer Science with a strong NLP research background. Prospective students can learn more about the project here <http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…>, under the section: *Understanding neural representations via their algebraic-topological structures*. The PhD student will work in an interdisciplinary environment, and will be at the forefront of NLP research. If you are interested, please get in touch with me on: h.dubossarsky(a)qmul.ac.uk. Bests, Haim

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CALL FOR CONTRIBUTION - LongEval @ CLEF 2023
by Lorraine Goeuriot 16 Dec '22

16 Dec '22

We kindly invite you to participate in LongEval 2023, a shared task on longitudinal evaluation of NLP models at CLEF 2023. CALL FOR CONTRIBUTION LongEval @ CLEF 2023 Longitudinal Evaluation of Models Performance https://clef-longeval.github.io <https://clef-longeval.github.io/> Lab description: The LongEval aims at identifying the types of models that offer better temporal persistence for NLP tasks on data that evolves across time in both shorter and longer time periods. LongEval is built on a common framework for its Information Retrieval and Text Classification tasks: for one system, we evaluate its efficiency when operating on test data acquired at the same time than the training data, when operating on data acquired shortly after time t (sub-task 1), and when operating on data acquired at time t" ( longer after time t, sub-task 2). For each sub-task of each task, two evaluation measures are proposed: an absolute quality measure, and a relative drop compared to an initial time t test result for each system LongEval 2023 proposes two tasks: • Task 1: Information Retrieval. For this task, the data is a sequence of Web document collections and queries, each containing a few million documents and hundreds of queries, provided by Qwant. Relevance assessments are to be computed using a Click Model acquired from real users of the Qwant search engine. As the initial corpus contains only French documents, an automatic translation into English will be provided. • Task 2: Text Classification. For this task, the training data is the TM-Senti sentiment analysis dataset extended with a development set and three human-annotated novel test sets for submission evaluation. TM-Senti is a general large-scale Twitter sentiment dataset in the English language, spanning over a 9-year period from 2013 to 2021. Tweets are labeled for sentiment as either “positive” or “negative”. The annotation is performed using distant supervision based on a manually curated list of emojis and emoticons. You can register for the task at: https://clef2023-labs-registration.dei.unipd.it/ <https://clef2023-labs-registration.dei.unipd.it/> Lab Organizers: Rabab Alkhalifa, Iman Bilal, Hsuvas Borkakoty, Jose Camacho-Collados, Romain Deveaud, Alaa El-Ebshihy, Luis Espinosa-Anke, Gabriela Gonzalez-Saez, Petra Galuscakova, Lorraine Goeuriot, Elena Kochkina, Maria Liakata, Daniel Loureiro, Harish Tayyar Madabushi, Philippe Mulhem, Florina Piroi, Martin Popel, Christophe Servan, and Arkaitz Zubiaga. Important dates: Release of training data: 03/01/2023 Release of test data: 30/04/2023 Runs submissions date: 30/06/2023 LongEval Workshop: during CLEF 2023, Thessaloniki, 18-21 September 2023.

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2nd Call for Papers - Workshop on Language-Based AI Agent Interaction with Children (deadline extended)
by Maike Paetzel-Prüsmann 16 Dec '22

16 Dec '22

Workshop on Language-Based AI Agent Interaction with Children https://aichildinteraction.github.io/ February 21st, 2023, in Los Angeles, USA & Virtual (Hybrid Format) Paper Submission Deadline: January 13th, 2023 (extended) Easychair: https://easychair.org/conferences/?conf=aiaic23 Contact: https://groups.google.com/g/ai-child-interactions or aichildinteraction(a)gmail.com =================================================== In this workshop, we aim to bring together researchers looking into multimodal interactions between children and artificial agents to discuss research problems that center around interactivity and go beyond just processing child speech. We are interested in discussing approaches to collecting and annotating datasets involving child speech, intent classification in child speech, designing dialogue flow with artificial agents that primarily interact with children, as well as repair strategies, active listening behavior, and other aspects of dialogue modeling. Moreover, multiparty conversations involving several children, children, and their adult caregivers or several artificial agents are of particular interest to this workshop. Acknowledging the early-stage nature of research in this area, the workshop will invite short position papers as contributions. In addition to selected talks that will be invited based on the submitted papers, we will host roundtable discussions allowing attendees to discuss ideas, share challenges they have faced, and highlight ideas for future research.  ## Topics of Interest The workshop welcomes contributions across a wide range of topics including, but not limited to: Natural Language Understanding of Child Speech  Dialogue Modeling of Child-Agent, Child-Robot, Child-Child, and Child-Adult Speech  Conversational Flow and Repair in Dialogue with Children  Multiparty-Interaction Involving Children  Multimodal Processing of Child Interactions  Automatic Speech Recognition of Child Speech  Evaluating Child Interactions with Artificial Agents/Robots Challenges in Designing Interactions for Children  Datasets of Child-Child, Child-Adult, or Child-Agent/Robot Interaction Ethics and Responsible AI for Child-Agent/Robot Interaction Related Topics ## Important Dates - Paper submission deadline: January 13th, 2023 (extended) - Author Notification deadline: February 1st, 2023 - Workshop: February 21st, 2023 (morning session) ## Submission Guidelines We invite short position papers of 3-4 pages (plus additional pages for references and appendices without page limitation), including work in progress containing preliminary results, technical reports, case studies, surveys, and state-of-the-art research in language-based AI agent interactions with children. Recently submitted or published papers are welcome to be submitted to this workshop if they are highly relevant to the topic of the workshop. Please select the appropriate track during the EasyChair submission to mark the submission accordingly. Papers will be reviewed for their relevance, novelty, and scientific and technical soundness. Submissions do not need to be anonymized for review. All manuscripts must be written in English and submitted electronically in PDF format via EasyChair: https://easychair.org/conferences/?conf=aiaic23 Accepted papers will be published on the workshop website. However, papers are still considered non-archival and can be submitted to other conferences. Authors of accepted papers are expected to present their paper during the workshop in the form of a short talk, which can either be given in person in Los Angeles, USA, or virtually via Zoom. Authors should use the official IWSDS template: Latex Style and Template: https://drive.google.com/open?id=1mnzjvTlIVEsdPb2IZXbzxU8WRJj3mLiJ Overleaf: https://www.overleaf.com/read/djcrwzgrdjvj Word Template: https://drive.google.com/open?id=1WmO9iLvJtO0cH1E0VSC1bPsC0vRDpzbd ## Contact If you have questions, please get in touch via our public Google Group https://groups.google.com/g/ai-child-interactions or by sending an e-mail to aichildinteraction(a)gmail.com

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Permanent CNRS Research Fellow Position in NLP for Under-resourced Languages
by Thierry Poibeau 16 Dec '22

16 Dec '22

Dear All, CNRS offers one permanent research position (research fellow) in computer sciences for under-resourced languages. https://gestionoffres.dsi.cnrs.fr/fo/offres/detail-en.php?&offre_id=18 Details about the selection process and the kind of positions offered by CNRS is presented here: https://www.cnrs.fr/en/competitive-entrance-examinations-researchers-womenm…. Note that these are permanent (non tenured) positions, after a probatory period of one year. Lattice is a lab in Paris (https://lattice.cnrs.fr/, funded by CNRS, Ecole normale supérieure-PSL and Université Sorbonne nouvelle) with a strong team both in linguistics and in natural language processing. Lattice would be happy to host the above position (candidates are free to mention in their application the lab that best suits their research projects among CNRS labs in linguistics with a strong NLP component). Candidates with a strong CV who would like apply at Lattice for this position can contact Sophie Prévost or Thierry Poibeau (both firstname.lastname(a)ens.psl.eu <mailto:firstname.lastname@ens.psl.eu>) with a CV and a research proposal. A record of international publications (including major computer science conferences) is mandatory. Best regards, Thierry Poibeau

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2025

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2023

2022

Corpora December 2022