September 2022 - Corpora

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

10 Nov '23

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

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

08 Jul '23

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

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

01 Jun '23

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

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

10 May '23

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

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

02 May '23

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

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

28 Feb '23

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

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

20 Feb '23

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

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OFAI 2022 Lecture Series
by Tristan Miller 09 Nov '22

09 Nov '22

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

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

07 Nov '22

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

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

02 Oct '22

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

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Call for Papers – IWSDS (International Workshop on Spoken Dialogue Systems Technology) 2023
by Kallirroi Georgila 01 Oct '22

01 Oct '22

Call for Papers – IWSDS (International Workshop on Spoken Dialogue Systems Technology) 2023 February 21-24, 2023, Los Angeles, USA Website: http://www.iwsds.tech<https://urldefense.com/v3/__http://www.iwsds.tech__;!!LIr3w8kk_Xxm!ukr0B0Do…> The International Workshop on Spoken Dialogue Systems Technology (IWSDS) 2023 invites paper submissions. IWSDS 2023 will be held February 21-24, 2023 in Los Angeles, USA at the University of Southern California Institute for Creative Technologies. IWSDS 2023 will be a primarily in person event with a hybrid component for those who cannot travel to Los Angeles and wish to attend virtually. This year’s conference theme is “Diversity in Dialogue Systems” (DiDS). We especially invite paper submissions on the following topics: -Diversity in languages spoken -Diversity in domain/task being performed (e.g., range of tasks, dialogue systems that engage in multiple tasks) -Diversity in user population -Diversity in training data (e.g., ethics/bias considerations) -Diversity in methods/architectures used for dialogue system development (e.g., end-to-end vs. module-based) -Diversity in dialogue system evaluation methodologies -User engagement and emotion in dialogue systems -Proactive, anticipatory, or incremental interaction -Use of humor and metaphors in dialogue systems -Multimodal and situated dialogue systems -Companions and personal assistant dialogue systems -Educational and healthcare applications -Big data and large scale dialogue systems -Digital resources for interactive dialogue management -Domain transfer and adaptation techniques for dialogue systems -Dialogue systems for low-resource languages -Multilingual dialogue systems -Dialogue system evaluation -Machine learning for dialogue systems -Interaction styles in dialogue systems However, submissions are not limited to these topics and we encourage you to submit papers in all areas of natural language dialogue systems. Special Sessions: In addition, IWSDS will host two special sessions. Authors can submit papers to either of these using the same procedure as the regular papers but selecting the specific session during the submission process. Multi-party Conversational AI: The program of IWSDS 2023 will include a special session on multi-party conversational AI, where more than two agents are involved in a conversational interaction. The objectives of this session are to review work done in the past in the field of multi-party conversational AI, to showcase recent and ongoing work, and to identify paths forward. Topics of interest are (but are not limited to): designing social state representations and models for multi-party interactions, addressee identification, speaker diarization, common ground detection, transformers for multi-party dialogue, datasets and simulators for multi-party dialogue, reinforcement learning for managing multi-party dialogue, handling split utterances (user utterances split between dialogue turns and utterances of other speakers), anaphora and ellipsis resolution in multi-party dialogue, multimodal input and output in multi-party dialogue systems, monitoring conversation status (sentiment analysis, detection of (dis)agreements and misunderstandings, etc.), methods and metrics for evaluating multi-party dialogue systems. Dialogue Systems for Multilingual and Under-resourced Language Speakers: Current dialogue systems target mostly monolingual and high resource languages and their speakers. However, millions of speakers around the world (e.g., India, Africa, Europe as well as indigenous and immigrant communities in the US) are multilingual and it is normal for these speakers and communities to switch within or across languages in daily lives (Doğruöz et al., 2021<https://urldefense.com/v3/__https://biblio.ugent.be/publication/8712328__;!…>; Sitaram et al., 2019<https://urldefense.com/v3/__https://arxiv.org/abs/1904.00784__;!!LIr3w8kk_X…>). In addition, most languages of the world are still under-resourced. Therefore, there is a need for dialogue systems to be more inclusive and target both the multilingual and under-resourced languages and their speakers. The aim of this special session is to bring together researchers from the SDS community and encourage research and discussion around the unique challenges (e.g., data collection, model building, sociolinguistic aspects and system evaluation) for multilingual and under-resourced languages. Important Dates: (All deadlines are at 23:59 UTC-12, Anywhere on Earth) Paper submission: October 28, 2022 Paper notification: December 9, 2022 Camera ready papers due: January 11, 2023 Workshop: February 21-24, 2023

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ACL Rolling Review Commitment Deadline: the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE @ EMNLP 2022)
by ali hürriyetoglu 30 Sep '22

30 Sep '22

Dear all, Please be reminded that the ACL Rolling Review commitment deadline for the 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE <https://emw.ku.edu.tr/case-2022/> @ EMNLP 2022 <https://2022.emnlp.org/>) is *October 5th (extended), 2022 (AoE)*. The submissions should be done on http://softconf.com/emnlp2022/case2022 (track: case 2022 arr) deadline. The notification date is October 9th. We are looking forward to your submissions/comments/questions! Best wishes, Ali

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Two Research positions in the field of Natural Language Processing and Information Extraction in the Clinical Domain
by Alberto Lavelli 30 Sep '22

30 Sep '22

*Two Research positions in the field of Natural Language Processing and Information Extraction in the Clinical Domain* *Application deadline: 27 October, 2022* Within the context of the eCREAM and of the IDEA4RC projects, funded by the European Union, we are inviting applications for two research positions on the subject of information extraction in the clinical domain in a multilingual perspective. *Job Description* FBK is looking for candidates to cover 2 positions with dynamic, highly motivated, researchers in the field of “Natural Language Processing” for the NLP Unit of the Digital Health and Wellbeing (dHWB) Center. The candidates will be asked to advance state-of-the-art research in the field of NLP, with particular emphasis on the development of techniques for information extraction in the clinical domain. On the topics above, the candidates will have the possibility to supervise PhD students and develop their own specific research directions in accordance with the strategies of the Research Unit and the dHWB Center. The candidates will work in collaboration with other researchers of the NLP Unit and of the dHWB Center, as well as with the partners involved in EU projects. The candidate is also expected to contribute to proposals for funded activities, including reporting and dissemination of results (in both academic and popular venues). Furthermore, we expect the successful candidates to contribute to maintain a strong role of FBK in the Italian and international NLP community. The purpose of the current call is an opportunity of working into an internationally renewed NLP group and develop their own research path in accordance with the long term strategy of the NLP Unit and the dHWB Center. *Job requirements* *The ideal candidates should have:* · PhD Degree in areas related to Computer Science or Computational Linguistics; · Research Expertise in Information Extraction; · Publication track record in the field of NLP; · Good Knowledge in application of deep learning techniques in NLP; · Strong programming skills; · Good knowledge and proficiency of the English language; · Team working attitude; · Good communication and relational skills; · Autonomy in developing research and organising work activities; *Additional requirements:* · Experience in supervision of internship and thesis of bachelor and master level on topics related to NLP; · Experience in working for international research projects; *FBK actively seeks diversity and inclusion in the workplace and is also committed in promoting gender equality.* *Employment* *Type of contract*: fixed term contract – full time *Start date*: preferably from November 2022 *End date*: 31 August, 2027 (eCREAM) / 31 August, 2026 (IDEA4RC) *Gross annual salary*: about € 39.500 *Workplace*: Povo - Trento (Italy) *Application* Interested candidates are requested to submit their application by completing the online form (https://jobs.fbk.eu/). Please make sure that your application contains the following attachments (in pdf format): · Detailed CV including list of scientific publications · Motivation letter · Email address contact for two referees *Application deadline: 27 October, 2022* *About FBK* FBK is a private research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a specific research center, of which there are eleven totals. Information regarding the research centers, their activities and production is available at http://www.fbk.eu/research-centers. The Digital Health and Wellbeing (dHWB) Center <https://www.fbk.eu/it/digital-healthwellbeing/> focuses on supporting an equitable and sustainable public healthcare system based on the pervasive use of digital technologies and AI by both empowered citizens and healthcare professionals, in the context of the 4P medicine. The activities of the dHWB Center focus on promoting and supporting a value-chain that combines high-quality scientific research (open and targeted) and innovation (social and technological) to have a significant impact on society (citizens and healthcare system) and market. The Natural Language Processing (NLP) research unit <https://ict.fbk.eu/units/nlp/> develops computational models of human languages, focusing on written texts. We are active in the following areas: *text mining (*document classification, information extraction and ontology population from text, semantic inferences, analysis of the sentiment and of the emotional content of texts); *conversational agents (*task oriented dialogue systems, collaborative human-machine dialogues, generation of explanations); and development of *linguistic resources*, particularly for the Italian language. In all the above areas, deep learning techniques are exploited. A common issue concerns the “explainability” of the choices carried out by the systems. We are fond of contributing to the Italian NLP community. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Coptic Scriptorium corpora release 4.4.0
by Amir Zeldes 30 Sep '22

30 Sep '22

We are pleased to announce release 4.4.0 of Coptic Scriptorium <https://copticscriptorium.org/> ! Our data now includes over 1,267,000 tokens of searchable, linguistically analyzed Coptic data from dozens of ancient Coptic works (an increase of almost 100,000 tokens from the previous release). Annotations include POS tagging, lemmatization, morphological analysis, dependency parses, nested NNER, entity linking and more. We are very grateful to all of our collaborators and contributors, without whom this project could not function. This release corrects a large number of consistency errors identified in our existing data, and also adds some new documents: * Sections of three works by Shenoute of Artipe <https://data.copticscriptorium.org/search?author=Shenoute> : * I Have Been Considering <https://data.copticscriptorium.org/texts/shenouteconsidering/> * So Concerning the Little Place <https://data.copticscriptorium.org/texts/shenouteplace/> * The Lord Thundered <https://data.copticscriptorium.org/texts/shenoutethundered/> * New documents added to existing works: * Acephalous Work 22 <https://data.copticscriptorium.org/texts/acephalous_work_22/> * Apophthegmata Patrum <https://data.copticscriptorium.org/texts/ap/> * The remaining books 2-4, as well as the postscript of Pistis Sophia <https://data.copticscriptorium.org/texts/pistissophia/> , which are now added to the previously released book 1 in our online interfaces * Newly treebanked data with syntactic gold standard annotations for the Life of John the Kalybites <https://data.copticscriptorium.org/texts/lifejohnkalybites/> , part 1 We would like to thank the Marcion Project <https://marcion.sourceforge.net/> for making the underlying digitized text of Pistis Sophia available, and all of the annotators for their hard work. Tamara Siuda, Rebecca Krawiec, Philippe Zaher, and Lance Martin contributed, in addition to Amir and Carrie. As our current DHAG grant <https://copticscriptorium.org/dhag> ends, we would like to give special thanks to Lance, who has been working as our DH specialist on the project since 2019, for doing an amazing job of keeping track of all the data and the various tasks he’s been in charge of over the past three years! As with all releases, raw machine readable data for all corpora can be found, including morphological and syntactic analysis, as well as named entity recognition and entity linking, on our GitHub repository, in a variety of popular formats: https://github.com/copticscriptorium/corpora You can also search for complex linguistic annotations in the data using our ANNIS server – please see our new tutorial here to get started with some query tips and a helpful cheat sheet: https://copticscriptorium.org/ANNIS_tutorial We hope this release will be useful and look forward to the next one as always, The Coptic Scriptorium team � �

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[Deadline extended] EvoNLP Workshop at EMNLP 2022
by Jose Camacho Collados 30 Sep '22

30 Sep '22

************************************ EMNLP EvoNLP Workshop: The First Workshop on Ever Evolving NLP -> The main submission deadline has been extended to October 12. Workshop: https://sites.google.com/view/evonlp/ Shared Task: https://sites.google.com/view/evonlp/shared-task Submission deadline (for papers requiring review / non-archival): 12 October, 2022 [EXTENDED!] Submission deadline (with ARR reviews): 25 October, 2022 Notification of acceptance: 31 October, 2022 Camera-ready paper deadline: 11 November, 2022 Workshop date: 7 December, 2022 (co-located with EMNLP) ************************************ Advances in language modeling have led to remarkable accuracy on several NLP tasks, but most benchmarks used for evaluation are static, ignoring the practical setting under which training data from the past and present must be used for generalizing to future data. Consequently, training paradigms also ignore the time sensitivity of language and essentially treat all text as if it was written at a single point in time. Recent studies have shown that in a dynamic setting, where the test data is drawn from a different time period than the training data, the accuracy of such static models degrades as the gap between the two periods increases. -------------------------------------------------------------- This workshop focuses on these time-related issues in NLP models and benchmarks. We invite researchers from both academia and industry to redesign experimental settings, benchmark datasets, and modeling by especially focusing on the “time” variable. We will welcome papers / work-in-progress on several topics including (but not limited to): - Dynamic Benchmarks: Evaluation of Model Degradation in Time Measuring how NLP models age Random splits vs time-based splits (past/future) Latency (days vs years) at which models need to be updated for maintaining task accuracy Time-sensitivity of different tasks and the type of knowledge which gets stale Time-sensitivity of different domains (e.g., news vs scientific papers) and how domain shifts interact with time shifts Sensitivity of different models and architectures to time shifts - Time-Aware Models Incorporating time information into NLP models Techniques for updating / replacing models which degrade with time Learning strategies for improving temporal degradation Trade-offs between updating a degraded model vs replacing it altogether Mitigating catastrophic forgetting of old knowledge as we update models with new knowledge Improving plasticity of models so that they can be easily updated Retrieval based models for improving temporal generalization - Analysis of existing models / datasets Characterizing whether degradation on a task is due to outdated facts or changes in language use Effect of model scale on temporal degradation – do large models exhibit less degradation? Efficiency / accuracy trade-offs when updating models -------------------------------------------------------------- All accepted papers will be published in the workshop proceedings unless requested otherwise by the authors. Submissions can be made either via OpenReview where they will go through the standard double-blind process, or through ACL Rolling Review with existing reviews. See details below. ---- Submission guidelines ---- We seek submissions of original work or work-in-progress. Submissions can be in the form of long/short papers and should follow the ACL main conference template. Authors can choose to make their paper archival/non-archival. All accepted papers will be presented at the workshop. Archival track We will follow double-blind review process and use OpenReview for the submissions. We also will accept ACL rolling review (ARR) submissions with reviews. Since these submissions already come with reviews, the submission deadline is much later than the initial deadline. We will use Open Review for the submissions. Submission link: https://openreview.net/group?id=EMNLP/2022/Workshop/EvoNLP For papers needing review click “EMNLP 2022 Workshop EvoNLP submission” For papers from ARR click “EMNLP 2022 Workshop EvoNLP commitment Submission” ---- Non-archival track ---- Non-archival track seeks recently accepted / published work as well as work-in-progress. It does not need to be anonymized and will not go through the review process. The submission should clearly indicate the original venue and will be accepted if the organizers think the work will benefit from exposure to the audience of this workshop. Submission: Please email your submission as a single PDF file to evonlp(a)googlegroups.com. Include “EvoNLP Non-Archival Submission” in the title and the author names and affiliation within the body of your email. ---- Shared task (TempoWiC) ---- The workshop features a shared task on meaning shift detection in social media. Official competition is closed, but new submissions can be made to Codalab: https://codalab.lisn.upsaclay.fr/competitions/5360 -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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5 October - Prof Tony McEnery online talk Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use
by Pascual Pérez-Paredes 30 Sep '22

30 Sep '22

Corpus Linguistics, Learner Corpora, and SLA: Employing Technology to Analyze Language Use Online talk. October 5, 18:00 (Madrid time) / 17:00 (UK time) Prof Tony McEnery, University of Lancaster Free registration link<https://umurcia.zoom.us/webinar/register/WN_ey8fEpC3RkC7_vAUKEpAgg>. You’ll receive an email with the ZOOM link and code. Abstract In this talk I will explore the relationship between learner corpus and second language acquisition research. I begin by considering the origins of learner corpus research, noting its roots in smaller scale studies of learner language. This development of learner corpus studies will be considered in the broader context of the development of corpus linguistics. I then consider the aspirations that learner corpus researchers have had to engage with second language acquisition research and explore why, to date, the interaction between the two fields has been minimal. By exploring some of the corpus building practices of learner corpus research, and the theoretical goals of second language acquisition studies, I will identify reasons for this lack of interaction and make proposals for how this situation could be fruitfully addressed. Tony McEnery is distinguished professor of Linguistics and English Langauge in the Department of English Language and Linguistics at Lancaster University and Changjiang Chair at Xi’an Jiaotong University in China. He has published widely on corpus linguistics and is the author of Corpus Linguistics: Method, Theory and Practice (with Andrew Hardie, Cambridge University Press, 2011). His latest book, Fundamental Principles of Corpus Linguistics (with Vaclav Brezina) is due out from Cambridge University Press soon. More info: https://www.um.es/languagecorpora/2022/09/20/corpus-linguistics-learner-cor… Pascual Pérez-Paredes https://webs.um.es/pascualf

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announcement for circulation
by Sara Bartl 30 Sep '22

30 Sep '22

Dear All, Sorry for the confusion. Please see the updated version below. Could you please circulate the following announcement about the revised application deadline for the R for Stylistics Workshop? Thank you. Sara Bartl Dear Colleagues, Due to the high number of sign-ups for the R for Stylistics workshop, we have decided to close applications early. The new deadline is 7 October. Please note that this is an in-person event only! R for Stylistics is a two-day (January 19-20, 2023), hands-on workshop for students and scholars of stylistics/literary linguistics who are eager to learn how to use the R programming environment to handle textual data. The workshop will follow an intensive two-day program in which participants will learn the basics of working with R and R Studio, as well as some methods of basic textual analysis with R. The workshop is best suited to advanced students (i.e. MA, PhD) and scholars of stylistics with no prior programming experience. For more information and to register/apply: https://docs.google.com/forms/d/e/1FAIpQLSf1Wrv14EmX2_hsXG_rt0IkxXPvnibl9Qd… Sara Bartl (she/they) @SaraBartl<https://twitter.com/SaraBartl> Doctoral Researcher English Language and Linguistics University of Birmingham Currently reading: Everything Under - Daisy Johnson

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PhD position on Diversity-Aware NLP at University of Stuttgart, Germany
by Agnieszka Falenska 30 Sep '22

30 Sep '22

The independent research group on Diversity-Aware NLP Intelligent Systems (DANIS) headed by Dr. Agnieszka Faleńska [1] invites applications for a *PhD position*. The group is a part of the project Reflecting Intelligent Systems for Diversity, Demography, and Democracy (IRIS3D) [2] funded by the Ministry of Science, Research and the Arts of the State of Baden-Württemberg [3]. It is located at the Institute for Natural Language Processing (IMS) [4] at the University of Stuttgart, Germany [5]. *Project* The immense influence of NLP systems on human lives raises increasing concerns about the possible harm these tools can cause. Harmful behaviors of such systems are regarded as symptoms of their bias, i.e., the systematic preference or discrimination against certain groups of users. NLP tools are commonly trained on textual corpora that display such biases already at the level of their authors. For example, Wikipedia, which is one of the most commonly used sources of training data, is created by a predominantly white and male group of editors. Such a lack of diversity among authors can lessen the impact of data from minorities and, as a consequence, result in NLP models that reflect the underlying demographic imbalances. DANIS contributes to the discourse of fairness in AI by facilitating the design of NLP intelligent systems that can recognize inputs from underrepresented groups of users and strengthen their role in the training processes. *Position* The successful candidate will work on topics ranging from (i) recognition of textual phenomena that identify distinctive demographic groups, (ii) analysis techniques to investigate the influence of particular training signals on neural NLP models, and (iii) incorporating the knowledge of biases into a standard NLP methodology. The position is available for four years, starting in December 2022 or soon thereafter. The salary is according to the German university pay scale (TV-L 13 100%, approx. 50k EUR per year before taxes, see [6] for details). The PhD candidate will benefit from the support structures offered by the Graduate Academy of the University of Stuttgart (GRADUS) [7] and IRIS [8]. Moreover, they will have the chance to collaborate with other IRIS3D projects as well as the interdisciplinary research group E-DELIB (Powering up e-deliberation: towards AI-supported moderation) [9] and the Emmy Noether research group MisT (Computational Models of Misunderstanding) [13]. *Candidate's Profile* * Master’s degree in computational linguistics, computer science, computational social science, or related fields * knowledge of natural language processing (NLP) / computational linguistics (CL) * strong programming skills * advanced knowledge of machine learning methods, experience in deep learning is a plus * excellent communication skills and interest in interdisciplinary work * proficiency in English (knowledge of German is not required) *How to Apply?* To apply, please send as a single PDF document: * a brief motivation letter including your research interests * a CV including a list of publications (if applicable) and contact information of one to two references Applications should be sent to Agnieszka Faleńska (agnieszka.falenska at ims.uni-stuttgart.de). Applications submitted before October 21, 2022 will receive full consideration. The position will remain open until filled, so do not hesitate to get in touch when you find this opening after October 21st. The (online) interviews will take place at the beginning of November. The University of Stuttgart aims to achieve equal opportunities for men and women in university studies and science and to increase the number of women in academia [12].Therefore, people of all genders are equally encouraged to apply. Applications of severely disabled candidates with equivalent qualifications will be given priority. *About IRIS and IRIS3D* The IRIS3D project is embedded in the Cyber Valley ecosystem [10]. It consists of three independent research groups contributing to the reflection on the societal impacts of intelligent systems. The project is a part of the Interchange Forum for Reflecting on Intelligent Systems (IRIS). IRIS provides a platform to stimulate critical reflection on the foundations, mechanisms, implications, and effects of intelligent systems in research, teaching, and society. *About Stuttgart and the University of Stuttgart* The University of Stuttgart is a technically oriented university in Germany. It is especially known for engineering and related topics, with its computer science department being ranked highly, both nationally and internationally. The Institute for Natural Language Processing, which is part of the Faculty of Computer Science and Electrical Engineering, is one of the largest academic research institutes for natural language processing in Germany, with three full professors, an assistant professor, three senior lecturers, and a staff of more than thirty researchers. Its activities range from computational corpus linguistics to semantic processing, deep learning, machine translation, psycholinguistics, and phonetics, and hosts several projects funded by the European Commission (EC), the German Research Foundation (DFG), and various foundations. The institute manages dedicated BSc and MSc programs in Computational Linguistics. The city of Stuttgart [11] is the capital of the state of Baden-Württemberg in southwest Germany. It is a lively and international city, known for its strong economy and rich culture. With Germany's high-speed train system, it is well-connected to many other interesting places, for instance, Munich and Cologne (~2.5 hours), Paris (~3.5 hours), Berlin (~5.5 hours), Strasbourg (<1.5 hours), and Lake of Constance (~2.5 hours). *Links* [1] www.ims.uni-stuttgart.de/en/institute/team/Falenska [2] www.iris.uni-stuttgart.de/research/iris3d [3] mwk.baden-wuerttemberg.de/de/startseite [4] www.ims.uni-stuttgart.de [5] www.uni-stuttgart.de [6] oeffentlicher-dienst.info/c/t/rechner/tv-l/west?id=tv-l-2015 [7] www.student.uni-stuttgart.de/en/uni-a-to-z/Graduate-Academy-of-the-Universi… [8] www.iris.uni-stuttgart.de [9] www.ims.uni-stuttgart.de/en/institute/researchgroups/edelib [10] cyber-valley.de [11] www.stuttgart-tourist.de/en [12] www.uni-stuttgart.de/en/university/organization/management/staff-positions/… [13] www.ims.uni-stuttgart.de/en/institute/researchgroups/mist

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R for Stylistics new application deadline
by Sara Bartl 30 Sep '22

30 Sep '22

Dear All, Could you please circulate the following announcement about the revised application deadline for the R for Stylistics Workshop? Thank you. Sara Bartl Dear Colleagues, Due to the high number of sign-ups for the R for Stylistics workshop, we have decided to close applications early. The new deadline is 7 October. R for Stylistics is a two-day (January 19-20, 2023), hands-on workshop for students and scholars of stylistics/literary linguistics who are eager to learn how to use the R programming environment to handle textual data. The workshop will follow an intensive two-day program in which participants will learn the basics of working with R and R Studio, as well as some methods of basic textual analysis with R. The workshop is best suited to advanced students (i.e. MA, PhD) and scholars of stylistics with no prior programming experience. For more information and to register/apply: https://docs.google.com/forms/d/e/1FAIpQLSf1Wrv14EmX2_hsXG_rt0IkxXPvnibl9Qd… Sara Bartl (she/they) @SaraBartl<https://twitter.com/SaraBartl> Doctoral Researcher English Language and Linguistics University of Birmingham Currently reading: Everything Under - Daisy Johnson

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PhD position on the topic of hate speech detection at University of Klagenfurt
by Wiegand, Michael 30 Sep '22

30 Sep '22

We are pleased to announce the following *PhD position* in the area of Natural Language Processing at the Digital Age Research Center (D!ARC) at the University of Klagenfurt to commence at the earliest opportunity. Level of employment: 75% (30hours/week) Minimum salary: € 32.116,00 per annum (gross), Classification according to collective agreement: B1 Limited to: 4 years Application deadline: open until filled Tasks and responsibilities: contributing to a new research project in the area abusive language detection/hate speech detection Prerequistites for the appointment: • A Master’s degree in the field of computational linguistics, linguistics, computer science or alike, graded with excellent success and corresponding knowledge in the field • Good programming skills (preferably Python) • Fluent in English (both spoken and written); knowledge in German is a plus Additional desired qualifications: • Familiarity with setting up annotation tasks via crowdsourcing • Experience with supervised learning, particularly state-of-the-art deep learning algorithms • Profound knowledge of publicly available NLP tools and resources • Experience with NLP on social media, particularly Twitter • Experience with web crawling and processing large amounts of textual data • Publications at scientific conferences and in journals in the field relating to the position • Social and communication skills, ability to work independently Our offer: The employment contract is concluded with a starting salary of € 2.294,00 gross per month (14 times a year; previous experience deemed relevant to the job can be recognised in accordance with the collective agreement). The University of Klagenfurt also offers: • Personal and professional advanced training courses, management and career coaching • Numerous attractive additional benefits, see also https://jobs.aau.at/en/the-university-as-employer/ • Diversity- and family-friendly university culture • The opportunity to live and work in the attractive Alps-Adriatic region with a wide range of leisure activities in the spheres of culture, nature and sports The application: If you are interested in this position, please apply in German or English providing the usual documents: • Letter of application • Curriculum vitae • Proof of all completed higher education programmes (certificates, supplements, if applicable) • Other documentary evidence that may be relevant to this announcement (see prerequisites and desired qualifications) To apply, please send all your application materials to michael.wiegand(a)aau.at<mailto:michael.wiegand@aau.at>. Please also use this address for obtaining further information on this specific vacancy. General information about the university as an employer can be found at https://jobs.aau.at/en/the-university-as-employer/. The University of Klagenfurt aims to increase the proportion of women and therefore specifically invites qualified women to apply for the position. Where the qualification is equivalent, women will be given preferential consideration. People with disabilities or chronic diseases, who fulfil the requirements, are particularly encouraged to apply.

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Webminar by Xiang Ren (University of Southern California - USC)
by HiTZ zentroa 29 Sep '22

29 Sep '22

**** We apologize for the multiple copies of this email. In case you are already registered to the next webinar, you do not need to register again. **** Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). We are organizing one seminar every month. You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: * *Speaker*: Xiang Ren (University of Southern California - USC) * *Title*: Commonsense Reasoning in the Wild * *Date*: October 6, 2022, 17:00 CET * *Summary*: Current NLP systems impress us by achieving close-to-human performance on benchmarks of answering commonsense questions or writing interesting stories. However, most of the progress is evaluated using static, closed-ended datasets created for individual tasks. To deploy commonsense reasoning services in the wild, we look to develop and evaluate systems that can generate answers in an open-ended way, perform robust logical reasoning, and generalize across diverse task formats, domains, and datasets. In this talk I will share our effort on introducing new formulations of commonsense reasoning challenges and novel evaluation protocols, towards broadening the scope in approaching machine common sense. We hope that such a shift of evaluation paradigm would encourage more research on externalizing the model reasoning process and improving model robustness and cross-task generalization. * *Upcoming webinars*: o Incorporating Commonsense Reasoning into NLP Models -- Vered Shwartz (November 3, 2022) o Title to be announced -- Maarit Koponen (December 1, 2022) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa

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Two research positions in University of Edinburgh MT group
by Barry Haddow 29 Sep '22

29 Sep '22

Hi We are looking for two researchers (at post-doc or pre-doc level) to work with us in Edinburgh on two new Horizon Europe projects. Both projects start in Autumn 2022 and run for 3 years. The first project (High Performance Language Technologies -- HPLT) will create an open platform that trains reproducible high-quality machine translation systems and language models. The project is gathering over a million GPU hours and 7 petabytes of data. Research in HPLT focuses on efficiency and models that apply to a wide range of languages. The second project (UTTER -- Unified Transcription and Translation for Extended Reality) aims to use large language models to develop scalable, adaptable, contextualised, emotion-aware and explainable technologies for translation, summarisation and transcription. The project will develop prototypes for a multilingual meeting assistant and for dialogue translation in customer care. The new researchers will work on problems related to these goals. For more information, and how to apply, see https://neural.mt/jobs/ best Barry 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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EACL 2023: Call for Papers
by Joel Tetreault 29 Sep '22

29 Sep '22

(apologies for cross-posting) *=== Important Information ===* Website: https://2023.eacl.org/ *Submission Deadline*: Thursday, 20 October 2022 *Conference Dates*: Tuesday, 2 May 2023 to 6 May 2023 *Location*: Dubrovnik, Croatia *Contact*: Alessandro Moschitti (General Chair): amoschitti(a)gmail.com // Isabelle Augenstein & Andreas Vlachos (Program Chairs): eacl2023pcs(a)googlegroups.com *=== Overview ===*The 17th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2023) invites the submission of long and short papers on substantial, original, and unpublished research on empirical methods for Natural Language Processing. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals. EACL 2023 will follow EMNLP 2022 and go with a hybrid format with respect to ARR. This means that while EACL will accept ARR-reviewed papers, it will also accept submissions directly to EACL through the START system. However, in order to keep the review load on the community as a whole manageable, we ask authors to decide up-front if they want their papers to be reviewed through ARR or EACL. *Review Process:*Papers submitted directly to EACL will have the “regular” review process: paper reviewed by 3 reviewers, authors are invited to write an author response and revise their paper before the camera ready deadline, if accepted. ARR papers committed to EACL will be handled by the Senior Area Chairs. For these papers, the authors may provide an author response but not revise their paper (with the exception of adding the required “limitations” section, if it was missing from the ARR submission; see below). *Cross-Submission Policy with ARR:*Any ARR-reviewed paper that has received all of its reviews and meta-reviews available by the ARR-to-conference commitment deadline (January 8, 2023), can be committed to EACL 2023. Note: Submissions from ARR cannot be modified except that they can be associated with an author response. Note: While EACL will consider any ARR paper that has been fully reviewed by January 8, 2023, unlike for ACL and NAACL 2022, EACL does not guarantee a date such that all papers submitted to ARR before the date are guaranteed to receive necessary reviews in time for the EACL commitment deadline. Consequently, care must be taken in deciding whether a submission should be made to ARR or EACL directly if the work has not been submitted anywhere before the call. Plan accordingly. Note: The START system deadline for direct submission papers, namely non-ARR submission papers, is October 20, 2022. Papers submitted to ARR before October 13, 2022, can be withdrawn and submitted to EACL 2023. Note: In order for a paper to be submitted directly to EACL 2023, it must be inactive in the ARR system. This means that the submission must either be explicitly withdrawn by the authors, or the ARR reviews are finished and shared with the authors before October 13, 2022, and the paper was not re-submitted to ARR. Note: The authors can withdraw their paper from ARR by October 13, 2022, regardless of how many reviews it has received. Papers that are in the ARR system after October 13, 2022, either submitted after or submitted before and not withdrawn, cannot be directly submitted to EACL 2023. Papers submitted to EACL 2023 may not be submitted for review elsewhere (including ARR) while being under review at EACL 2023. *=== Important Dates ===*- Abstract registration deadline for START direct submissions: October 13, 2022 - Anonymity period begins: October 13, 2022 (same as the abstract registration date) - Direct paper submission deadline (long & short papers): October 20, 2022 - Author response period: December 6-12, 2022 - Commitment deadline for ARR papers: January 8, 2023 - Notification of acceptance (long & short papers): January 20, 2023 - Camera-ready papers due (long & short papers): February 10, 2023 - Workshops & Tutorials: May 2 and 6 2023 - Main Conference: May 3-5, 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). *=== Mandatory abstract submission ===*The paper title, author names, contact details, and a brief abstract must be submitted electronically through the EACL 2023 paper submission site by the abstract submission deadline (October 13, 2022). It will be possible to make minor edits to the title and abstract until the full paper submission deadline, but you cannot change authors and subject areas. Submissions with “placeholder” abstracts will be removed without consideration; Important: if you miss the abstract submission deadline, you cannot submit the full paper. *=== Submissions ===*EACL 2023 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Anaphora, Discourse and Pragmatics - Computational Social Science and Social Media - Dialogue and Interactive Systems - Document analysis, Text Categorization and Topic Models - Generation and Summarization - Green and Sustainable NLP - Information Retrieval and Search - Information Extraction - Interpretability and Model Analysis in NLP - Language Resources and Evaluation - Language Grounding and Multi-Modality - Linguistic Theories, Cognitive Modeling and Psycholinguistics - Machine Learning in NLP - Machine Translation - Multilinguality - Multidisciplinary and NLP Applications - Question Answering - Semantics: lexical - Semantics: sentence level and other areas - Sentiment Analysis and Argument Mining - Phonology, Morphology, and Word Segmentation - Tagging, Chunking, Syntax, and Parsing *=== Paper Submission Information ===* *Long Papers*Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Review forms will be made available prior to the deadlines. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendix; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. *Short Papers*Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendix. Upon acceptance, short papers will be given 5 content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. *Presentation Mode*Long and short papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and as posters. *Authorship* The author list for submissions should include all (and only) individuals who made substantial contributions to the work presented. Each author listed on a submission to EACL 2023 will be notified of submissions, revisions and the final decision. No changes to the order or composition of authorship may be made to submissions to EACL 2023 after the abstract submission deadline. *Citation and Comparison*You are expected to cite all refereed publications relevant to your submission, but you may be excused for not knowing about all unpublished work (especially work that has been recently posted and/or is not widely cited). While not citing such unpublished works upon submission is not sufficient grounds for paper rejection, you are expected to cite such relevant work in camera ready, if notified about it by reviewers. In cases where a preprint has been superseded by a refereed publication, the refereed publication should be cited instead of the preprint version. Papers (whether refereed or not) appearing less than 3 months before the submission deadline are considered contemporaneous to your submission, and you are therefore not obliged to make detailed comparisons that require additional experimentation and/or in-depth analysis. However, you are expected to mention such works in your submission, and list their published results if they are directly relevant. For more information, see the ACL Policies for Submission, Review, and Citation: https://www.aclweb.org/adminwiki/index.php/ACL_Policies_for_Submission,_Rev… *Multiple Submission Policy* EACL 2023 will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the EACL 2023 review period. This policy covers all refereed and archival conferences and workshops (e.g., NeurIPS, ACL workshops), as well as ARR. In addition, we will not consider any paper that overlaps significantly in content or results with papers that will be (or have been) published elsewhere. Authors submitting more than one paper to EACL 2023 must ensure that their submissions do not overlap significantly (>25%) with each other in content or results. EACL 2023 will also accept submissions of ARR-reviewed papers, provided that the ARR reviews and meta-reviews are available by the ARR-to-conference submission deadline. However, EACL 2023 will not accept direct submissions that are actively under review in ARR, or that overlap significantly (>25%) with such submissions. *Mandatory Discussion of Limitations*We believe that it is also important to discuss the limitations of your work, in addition to its strengths. Following the EMNLP format, EACL 2023 requires all papers to have a clear discussion of limitations, in a dedicated section titled “Limitations”. This section will appear at the end of the paper, after the discussion/conclusions section and before the references, and will not count towards the page limit. Papers without a limitation section will be automatically rejected without review. ARR-reviewed papers that did not include “Limitations” section in their prior submission, should submit a PDF with such a section together when they commit their papers to EACL 2023 via Softconf. While we are open to different types of limitations, just mentioning that a set of results have been shown for English only probably does not reflect what we expect. Mentioning that the method works mostly for languages with limited morphology, like English, is a much better alternative. In addition, limitations such as low scalability to long text, the requirement of large GPU resources, or other things that inspire crucial further investigation are welcome. *Ethics Policy*Authors are required to honor the ethical code set out in the ACL Code of Ethics. The consideration of the ethical impact of our research, use of data, and potential applications of our work has always been an important consideration, and as artificial intelligence is becoming more mainstream, these issues are increasingly pertinent. We ask that all authors read the code, and ensure that their work is conformant to this code. Where a paper may raise ethical issues, we ask that you include in the paper an explicit discussion of these issues, which will be taken into account in the review process. We reserve the right to reject papers on ethical grounds, where the authors are judged to have operated counter to the code of ethics, or have inadequately addressed legitimate ethical concerns with their work. Authors will be allowed extra space after the 8th page (4th for short papers) for an optional broader impact statement or other discussion of ethics. The EACL review form will include a section addressing these issues and papers flagged for ethical concerns by reviewers or ACs will be further reviewed by an ethics committee. Note that an ethical considerations section is not required, but papers working with sensitive data or on sensitive tasks that do not discuss these issues will not be accepted. Conversely, the mere inclusion of an ethical considerations section does not guarantee acceptance. In addition to acceptance or rejection, papers may receive a conditional acceptance recommendation. Camera-ready versions of papers designated as conditional accept will be re-reviewed by the ethics committee to determine whether the concerns have been adequately addressed. Please read the ethics FAQ for more guidance on some problems to look out for and key concerns to consider relative to the code of ethics. *Paper Submission and Templates*Submission is electronic, using the Softconf START conference management system. Both long and short papers must follow the EACL 2023 two-column format, using the supplied official style files. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. *Verification*To guarantee conformance to publication standards, we will be using the ACL Pubcheck tool (https://github.com/acl-org/aclpubcheck). The PDFs of camera-ready papers must be run through this tool prior to their final submission, and we recommend its use also at submission time. *Optional Supplementary Materials: Appendices, Software and Data*Each EACL 2023 submission can be accompanied by an appendix, which will appear in the main paper’s PDF, after the bibliography. A submission may also be accompanied by one .tgz or .zip archive containing software, and one .tgz or .zip archive containing data. EACL 2023 encourages the submission of these supplementary materials to improve the reproducibility of results, and to enable authors to provide additional information that does not fit in the paper. For example, anonymised related work (see above), preprocessing decisions, model parameters, feature templates, lengthy proofs or derivations, pseudocode, sample system inputs/outputs, and other details that are necessary for the exact replication of the work described in the paper can be put into the appendix. However, the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review or download them. If the pseudo-code or derivations or model specifications are an important part of the contribution, or if they are important for the reviewers to assess the technical correctness of the work, they should be a part of the main paper, and not appear in the appendix. Supplementary materials need to be fully anonymized to preserve the double-blind reviewing policy. *=== Anonymity Period ===*The following rules and guidelines are meant to protect the integrity of double-blind review and ensure that submissions are reviewed fairly. The rules make reference to the anonymity period, which runs from 1 week before the direct full paper submission deadline (starting October 13, 2022) up to the date when your paper is accepted or rejected (January 20, 2023). Papers that are withdrawn during this period will no longer be subject to these rules. - You may not make a non-anonymized version of your paper available online to the general community (for example, via a preprint server) during the anonymity period. Versions of the paper include papers having essentially the same scientific content but possibly differing in minor details (including title and structure) and/or in length. - If you have posted a non-anonymized version of your paper online before the start of the anonymity period, you may submit an anonymized version to the conference. The submitted version must not refer to the non-anonymized version, and you must inform the programme chairs that a non-anonymized version exists. - You may not update the non-anonymized version during the anonymity period, and we ask you not to advertise it on social media or take other actions that would further compromise double-blind reviewing during the anonymity period. - You may make an anonymized version of your paper available (for example, on OpenReview), even during the anonymity period. - For arXiv submissions, October 13, 2022 11:59pm UTC-12h (anywhere on earth) is the latest time the paper can be uploaded. *=== Instructions For Double-Blind Review ===*As reviewing will be double blind, papers must not include authors’ names and affiliations. Furthermore, self-references or links (such as github) that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …” must be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …” Papers that do not conform to these requirements will be rejected without review. Papers should not refer, for further detail, to documents that are not available to the reviewers. For example, do not omit or redact important citation information to preserve anonymity. Instead, use third person or named reference to this work, as described above (“Smith showed” rather than “we showed”). If important citations are not available to reviewers (e.g., awaiting publication), these paper/s should be anonymised and included in the appendix. They can then be referenced from the submission without compromising anonymity. Papers may be accompanied by a resource (software and/or data) described in the paper, but these resources should also be anonymized. *=== Reproducibility Criteria ===*Reviewers will be asked to assess the reproducibility of the work as part of their reviews. The following are the criteria that reviews will take under consideration. For all reported experimental results: - A clear description of the mathematical setting, algorithm, and/or model. - Submission of a zip file containing source code, with specification of all dependencies, including external libraries, or a link to such resources (while still anonymized) - Description of computing infrastructure used - The average runtime for each model or algorithm (e.g., training, inference, etc.), or estimated energy cost - Number of parameters in each model - Corresponding validation performance for each reported test result - Explanation of evaluation metrics used, with links to code For all experiments with hyperparameter search: - The exact number of training and evaluation runs - Bounds for each hyperparameter - Hyperparameter configurations for best-performing models - Number of hyperparameter search trials - The method of choosing hyperparameter values (e.g., uniform sampling, manual tuning, etc.) and the criterion used to select among them (e.g., accuracy) - Summary statistics of the results (e.g., mean, variance, error bars, etc.) For all datasets used: - Relevant details such as languages, and number of examples and label distributions - Details of train/validation/test splits - Explanation of any data that were excluded, and all pre-processing steps - A zip file containing data or link to a downloadable version of the data - For new data collected, a complete description of the data collection process, such as instructions to annotators and methods for quality control. This list is based on Dodge et al, 2019 and Joelle Pineau's reproducibility checklist. *=== Presentation Requirement ===*All accepted papers must be presented at the conference—either on-line or in-person—in order to appear in the proceedings. Authors of papers accepted for presentation at EACL 2023 must notify the program chairs by the camera-ready deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for EACL 2023 by the early registration deadline. More information can be found in the Committee blog. If you have questions that are not answered there, please email the program co-chairs at eacl2023pcs(a)gmail.com.

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Job: Research Assistant/ML Engineer
by Mihael Arcan 28 Sep '22

28 Sep '22

** *Applications are invited from suitably qualified candidates for a full-time, fixed term position as a Research Assistant with the Unit for Natural Language Processing (NLP) at the Data Science Institute, University of Galway. * * Project Background: **Candidates for this position should have an MSc or equivalent in a relevant field of study with an emphasis on areas such as machine learning and/or natural language processing. The candidate should have good programming skills in python (preferably experience with pytorch). The position is for a fixed period of 6 months with the possibility of extension, depending on the successful acquisition of project funding. **This positionis available in the context of the Insight SFI Research Centre for Data Analytics from November 1st2022 (or as soon as possible). The post is available in the context of a commercialisation project on language pattern detection for mental health issues. Essential Requirements: * MSc in Natural Language Processing or Computer Science * Relevant experience with natural language processing, machine and deep learning * Experience in classification task, including multiclass, multilabel, multiclass-multioutputclassification * Understanding of experimental design and scientific methodologies * Excellent programming skills in Python * Programming experience with deep learning (e.g. pytorch, transformers) Desirable Requirements: * Experience in data processing in health domain * Evidence of previously completed software projects, e.g. in github ** ** Employment permit restrictions apply for this category of the post. Salary: €27,380 – €36,786 per annum, (commensurate with qualifications and experience) To Apply: Applications, including a cover letter and CV in PDF and the contact details of three referees should be sent to Dr Mihael Arcan (mihael.arcan(a)insight-centre.org) *Closing date for receipt of applications is 5.00 pm 14th October 2022* *

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Where do you publish the datasets you create?
by Surangika Ranathunga 28 Sep '22

28 Sep '22

Dear Community NLP community usually quantifies the 'resourcefulness' of a language based on the datasets (annotated/unannotated) available in public repositories. However, our recent analysis on the LREC 2022 papers revealed that most of the datasets have not been published in these public repositories. In order to identify reasons for this, we created the below survey. Please spend 2mins responding to this survey. It is anonymous and raw data will NOT be published. The aggregated results will be published at an xCL venue. We hope our findings would be beneficial to the wider NLP community. Survey: https://forms.gle/nQbEBtUhEPxx2tux9 We will be collecting responses till Oct 8th. Regards Surangika Surangika Ranathunga, PhD Senior Lecturer, Department of Computer Science and Engineering, Faculty of Engineering, University of Moratuwa surangika(a)cse.mrt.ac.lk

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2 PhD Positions in Clinical NLP and Decision Support at DFKI, Berlin
by Roland Roller 28 Sep '22

28 Sep '22

The Speech and Language Technology group of the German Research Center for Artificial Intelligence (DFKI), offers two research/PhD positions in clinical text processing and clinical decision support. The position is located in Berlin and would be in close collaboration with colleagues at DFKI, but also partially with clinical partners. Position 1: Clinical text processing Your tasks: The candidate will work within our team on topics related to (neural) information extraction, concept normalization and medical guideline matching. A PhD could be developed within the scope of the given tasks, but could address problems such as cross-domain/cross-language learning, few shot learning, knowledge integration or generation of synthetic (patient) data. This research brings the opportunity to test, interdisciplinary, novel technologies for medical care. Your qualifications: - A completed Masters degree (or equivalent qualification) in Computer Science, Computational Linguistics, or a comparable field - Good knowledge of and preferably hands-on experience with natural language technologies (tools and libraries) - Experience with python - Experience in machine learning (e.g. Pytorch, Spacy, Transformers…) - Ability to efficiently familiarize yourself with new tools and topics - Team player, result-driven, highly self-motivated - Very good English language skills (written and spoken) - At least some Basic knowledge of German Your benefits : - A wide and interesting range of tasks and extensive development opportunities - Contribution to trend-setting, innovative projects in the field of Language Technology and AI - An innovative, agile and professional work environment - An attractive workplace in the heart of Berlin Position 2: Clinical decision support: Your tasks: The candidate will work within our team on the development of machine learning models integrating longitudinal, semi-structured data, to support physicians and clinical staff. The field would be in the intersection of machine learning, natural language processing and explainability and would include interdisciplinary work. A PhD could be defined/developed within the scope of the given tasks. Your qualifications: - A completed Masters degree (or equivalent qualification) in Computer Science, Computational Linguistics, or a comparable field - Experience with python - Experience in machine learning or neural networks (e.g. Pytorch, SPacy, Transformers,...) - Preferably hands-on experience with medical data - Ability to efficiently familiarize yourself with new tools and topics - Team player, result-driven, highly self-motivated - Very good English language skills (written and spoken) - At least some Basic knowledge of German Your benefits : - A wide and interesting range of tasks and extensive development opportunities - Contribution to trend-setting, innovative projects in the field of Language Technology and AI - An innovative, agile and professional work environment - An attractive workplace in the heart of Berlin Successful applicants will be employed according to their qualifications. We offer excellent working conditions with interesting research topics in an interdisciplinary team at an internationally renowned research centre. The position is initially limited to the duration of the underlying project (until mid/end 2025). Severely disabled applicants with essentially the same professional and personal suitability will be given priority. The DFKI intends to increase the proportion of women in the science sector and therefore explicitly invites women to apply. We look forward to receiving your application documents. Please send them in electronic form to Roland Roller (roland.roller(a)dfki.de) and Philippe Thomas (philippe.thomas(a)dfki.de). Deadline: October 14. Applicants who submit their documents after the deadline may also be considered - depending on whether the position has already been filled.

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FIRST CALL FOR TASK PARTICIPATION: NTCIR-17 FairWeb-1 Task
by Nicola Ferro 28 Sep '22

28 Sep '22

http://sakailab.com/fairweb1/ # Overview The FairWeb-1 task is a new English web search task that considers both relevance and group fairness. Each of our search topic seeks information about specific entity types: R (researher), M (movies), T (Twitter accounts), and Y (YouTube contents); accordingly, we have four topic types: R-topics (e.g., information retrieval researchers) M-topics (e.g., Daniel Craig 007 movies) T-topics (e.g., Twitter accounts that provide info on COVID) Y-topics (e.g., Coldplay covers on YouTube) For evaluating group fairness, we consider the following attribute sets containing either ordinal or nominal groups: R-topics: h-index (ordinal) AND gender (nominal) M-topics: #reviews on IMDb (ordinal) AND geographic region (nominal) T-topics: #followers (ordinal) Y-topics: #subscribers of the YouTube account (ordinal) For R- and M-topics, we will evaluate intersectional groupfairness. For example, for each R-topic, we want the search engine result page (SERP) to contain information about researchers with varying levels of h-index (not just high h-index people), AND with different genders (not just "men"). # Task input/ouput INPUT: - a search topic (R, M, T, or Y) - attribute set(s) and target distribution(s) OUTPUT: - a TREC-style run (a SERP for each topic) # Evaluation method We will use the Group Fairness and Relevance (GFR) framework: please visit our webpage for details. # Timeline October 7, 2022 Release of 1st CFP with sample topics and evaluation protocol December 16, 2022 Pilot relevance assessments for the sample topics and a few pilot runs released; topic set size determined Dec 19-Feb 28, 2023 Topic development March 1, 2023 Topics released; task registrations due May 12, 2023 Run submissions due May 15-July 31, 2023 Entity annotations; runs evaluated August 1, 2023 Evaluation results and draft overview released September 1, 2023 Draft participant papers due November 1, 2023 Camera ready papers due December 2023 NTCIR-17@NII, Tokyo, Japan # Inquiries: fairweb1org(a)list.waseda.jp # Organisers: Sijie Tao, Nuo Chen, Tetsuya Sakai (Waseda University, Japan) Zhumin Chu (Tsinghua University, P.R.C.) Nicola Ferro (University of Padua, Italy) Maria Maistro (University of Copenhagen, Denmark) Ian Soboroff (NIST, USA) Hiromi Arai (RIKEN AIP, Japan)

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EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE
by Marco Polignano 27 Sep '22

27 Sep '22

* ***************************************************************************** EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE ***************************************************************************** EVALITA 2023is an initiative of AILC(Associazione Italiana di Linguistica Computazionale, AILC https://www.ai-lc.it/ <https://www.ai-lc.it/>). The final workshop will be held on **September 7th-8th in Parma, Italy**. As in the previous editions (https://www.evalita.it/ <https://www.evalita.it/>), EVALITA 2023 will be organized along a few selected tasks, which provide participants with opportunities to discuss and explore both emerging and traditional areas of Natural Language Processing and Speech for Italian. The participation is encouraged for teams working both in academic institutions and industrial organizations. TASK PROPOSAL SUBMISSION Tasks proposals should be no longer than 4 pages and should include: - task title and acronym; - names and affiliation of the organizers (minimum 2 organizers); - brief task description, including motivations and state of the art; - explanation of the international relevance of the task; - description and examples of the data, including information about their availability, development stage, and issues concerning privacy and data sensitivity. The examples are mandatory because they are intended to give potential participants an idea of what the task data will look like, how it’ll be formatted, etc. - expected number of participants and attendees; - names and contact information of the organizers. In submitting your proposal, please bear in mind that we encourage: - challenging tasks involving linguistic analysis, e.g., beyond “simple” classification problems; - tasks focused on multimodality, e.g., considering both textual and visual information; - tasks characterized by different levels of complexity, e.g., with a straightforward main subtask and one or more sophisticated additional subtasks; - the re-annotation/expansion of datasets from previous years with new annotation levels, and texts from publicly available corpora; - both new tasks and re-runs: for new tasks, organizers will have to specify in the proposal why it would attract a reasonable number of participants, and why it is needed; - application-oriented tasks, that is tasks that have a clearly defined end-user application showcasing; - multilingual tasks, i.e. with data both in Italian and in other languages; - industrial tasks, i.e. tasks with real data provided by companies. The organizers of the accepted tasks should take care of planning, according to the scheduled deadlines (see below): - the development and distribution of datasets needed for the contest, i.e. data for training and development, and data for testing; the scorer to be used to evaluate the submitted systems should be included in the release of development data; - the development of task guidelines, where all the instructions for the participation are made clear together with a detailed description of data and evaluation metrics applied for the evaluation of the participant results; - the collection of participants results; - the evaluation of participants results according to standard metrics and baseline(s); - the solicitation of participation and of submissions; - the reviewing process of the papers describing the participants approach and results (according to the template to be made available by the EVALITA 2023 chairs); - the production of a paper describing the task (according to the template to be made available by the EVALITA 2023 chairs). *** Email your proposal in PDF format to evalita2023(a)gmail.com with "EVALITA 2023 TASK Proposal" as the subject line by the submission deadline: October 17th 2022. *** Please feel free to contact the EVALITA 2023 chairs at evalita2023(a)gmail.com in case of any questions or suggestions. NEW deadlines of the task proposal: - October 4th 2022 October 17th 2022: submission of task proposals - October 18th 2022 October 24th 2022: notification of task proposal acceptance NEW timeline of EVALITA 2023: - 7th February 2023: development data available to participants - 30th April 2023: registration closes - 2nd-19th May 2023: evaluation windows - 30th May 2023: assessment returned to participants - 14th June 2023: final reports (from participants) due to task organizers - 28th June 2023: final reports (from task organizers) due to EVALITA chairs - 10th July 2023: review deadline - 25th July 2023: camera ready version deadline - 7th-8th September 2023: final workshop in Parma EVALITA 2023 CHAIRS Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” - CNR) *

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PhD position on hate speech and misinformation on social media, at the University of Tartu, Estonia
by Rajesh Sharma 27 Sep '22

27 Sep '22

Hello Everyone, I hope this email finds you well and sorry for cross-posting. Computational Social Science group (in the University of Tartu, Estonia) has a PhD position related to hate speech and misinformation on online social media. Please feel free to spread among your contacts. Deadline: 30 September. Please contact me before 30 Sept, as I will assist you in the application process (we need CV, motivation letter). We expect the candidate to know one or more aspects of the following techniques and programming languages (if not all): (i) Preferred programming languages: Python or R. (ii) Exploratory data analysis: feature extraction, visualization, etc. (ii) Machine learning and deep learning with some hands-on experience. (iv) Social media analysis: This includes collecting data from Twitter/Reddit and analyzing it for insights. An ideal candidate should be mindful of what's going on social media as well. (v) Social network analysis and Natural Language Processing Program Benefits ================ The funding is for 4 years for PhD Health insurance is provided Academic and industrial professional development including travel support. Interaction with world-renowned external board members and speakers. Travel grant for attending conferences and workshops. Location: Institute of Computer Science, University of Tartu, Estonia. Institute of Computer Science is located in the University of Tartu Delta Centre (https://delta.ut.ee/en/) and it is a unique multidisciplinary centre for digital technology, analytics and economic thought, bringing together more than 2500 students, university teachers, scientists and R&D staff from companies. In short you will get an opportunity to work with diverse and collaborative colleagues. Delta Centre opened in January 2020 and is one of the most modern centres of digital technology, analytical and economic thought in the Nordic region. University of Tartu is the leading higher education and research center in Estonia, with more than 16000 students and 1800 academic staff. It is also the highest ranked university in the Baltic States according to both the Times Higher Education and the QS World University rankings. University of Tartu's Institute of Computer Science, ranks 176-200 (according to Times Higher Education), and hosts 750 Bachelors and Masters students and 60 doctoral students. The institute has a strong international orientation: over 40% of graduate students and a quarter of academic and research staff members are international. Graduate teaching in the institute is in English. Estonia is famous for its e-approach and home to many startups like Skype, Transferwise and Bolt to name a few. Tartu, university town, is the second largest city of Estonia and is relatively less expensive and is surrounded by nature within the walkable distance from the city. The successful candidate will work on an European research project within the "computational social science lab" (https://css.cs.ut.ee/) at the Institute of Computer Science. The group conducts leading-edge research in the fields of social media analytics and social network analysis. The applicant should have: - Should have a master's/PhD degree in computer science, IT, mathematics or other relevant discipline for PhD/Postdoc - Excellent programming skills. - A good command of spoken and written English, - Background in statistics/Data Mining/Machine Learning, social media analysis would be ideal. Knowledge of social network analysis would be an additional advantage. All applications should include a CV (PDF format, at the most 2 pages), research statement of suitability (PDF format, at the most 2 pages), Transcripts (master and bachelor), master thesis (or paper writing experience evidence). Applications can be sent to rajesh.sharma(a)ut.ee with the subject "(PhD application in hate speech/mental health". We will get back to you in case your application is shortlisted. Kind regards Rajesh Sharma, Associate Prof and Erasmus+ Coordinator, Head, Computational Social Science Group <https://css.cs.ut.ee/> Institute of Computer Science, University of Tartu, Estonia Google Scholar <https://scholar.google.com/citations?hl=en&user=GKegbo0AAAAJ&view_op=list_w…> LinkedIn <https://www.linkedin.com/in/rajesh-sharma-9a03408/>Twitter <https://twitter.com/RajeshS44973898>

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PhD position on mental health at the University of Tartu
by Rajesh Sharma 27 Sep '22

27 Sep '22

I hope this email finds you well and sorry for cross-posting. Computational Social Science has a PhD position on the topic related to mental health. Please feel free to spread among your contacts. We expect the candidate to know one or more aspects of the following techniques and programming languages (if not all): (i) Preferred programming languages: Python or R. (ii) Exploratory data analysis: feature extraction, visualization, etc. (ii) Machine learning and deep learning with some hands-on experience. (iv) Social media analysis: This includes collecting data from Twitter/Reddit and analyzing it for insights. An ideal candidate should be mindful of what's going on social media as well. (v) Social network analysis and Natural Language Processing Program Benefits ================ The funding is for 4 years for PhD Health insurance is provided Academic and industrial professional development including travel support. Interaction with world-renowned external board members and speakers. Travel grant for attending conferences and workshops. Location: Institute of Computer Science, University of Tartu, Estonia. Institute of Computer Science is located in the University of Tartu Delta Centre (https://delta.ut.ee/en/) and it is a unique multidisciplinary centre for digital technology, analytics and economic thought, bringing together more than 2500 students, university teachers, scientists and R&D staff from companies. In short you will get an opportunity to work with diverse and collaborative colleagues. Delta Centre opened in January 2020 and is one of the most modern centres of digital technology, analytical and economic thought in the Nordic region. University of Tartu is the leading higher education and research center in Estonia, with more than 16000 students and 1800 academic staff. It is also the highest ranked university in the Baltic States according to both the Times Higher Education and the QS World University rankings. University of Tartu's Institute of Computer Science, ranks 176-200 (according to Times Higher Education), and hosts 750 Bachelors and Masters students and 60 doctoral students. The institute has a strong international orientation: over 40% of graduate students and a quarter of academic and research staff members are international. Graduate teaching in the institute is in English. Estonia is famous for its e-approach and home to many startups like Skype, Transferwise and Bolt to name a few. Tartu, university town, is the second largest city of Estonia and is relatively less expensive and is surrounded by nature within the walkable distance from the city. The successful candidate will work on an European research project within the "computational social science lab" (https://css.cs.ut.ee/) at the Institute of Computer Science. The group conducts leading-edge research in the fields of social media analytics and social network analysis. The applicant should have: - Should have a master's/PhD degree in computer science, IT, mathematics or other relevant discipline for PhD/Postdoc - Excellent programming skills. - A good command of spoken and written English, - Background in statistics/Data Mining/Machine Learning, social media analysis would be ideal. Knowledge of social network analysis would be an additional advantage. All applications should include a CV (PDF format, at the most 2 pages), research statement of suitability (PDF format, at the most 2 pages), Transcripts (master and bachelor), master thesis (or paper writing experience evidence). Applications can be sent to rajesh.sharma(a)ut.ee with the subject "(PhD application in hate speech/mental health". We will get back to you in case your application is shortlisted. Kind regards Rajesh Sharma, Associate Prof and Erasmus+ Coordinator, Head, Computational Social Science Group <https://css.cs.ut.ee/> Institute of Computer Science, University of Tartu, Estonia Google Scholar <https://scholar.google.com/citations?hl=en&user=GKegbo0AAAAJ&view_op=list_w…> LinkedIn <https://www.linkedin.com/in/rajesh-sharma-9a03408/>Twitter <https://twitter.com/RajeshS44973898> ReplyForward <https://drive.google.com/u/0/settings/storage?hl=en&utm_medium=web&utm_sour…> <https://www.google.com/intl/en/policies/terms/> <https://www.google.com/intl/en/policies/privacy/> <https://www.google.com/gmail/about/policy/>

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PhD position in Conversational AI / Multilingual NLP - University of Groningen (NL)
by Bisazza, A. 27 Sep '22

27 Sep '22

We are looking for a PhD candidate in the areas of Natural Language Processing (NLP), Conversational AI and Multilingual NLP. Application Deadline: 2 October 2022 Job description: This 4-year salaried PhD position is embedded in the project “Low-Resource Chat-based Conversational Intelligence (LESSEN <http://lessen-project.nl/>), funded by the Dutch Research Council (NWO). The project’s consortium brings together a diverse set of academic researchers and industrial stakeholders aimed at developing safe and transparent chat-based conversational AI agents, based on state-of-the-art neural architectures. In this context, the selected PhD candidate will work on multilinguality-related challenges and opportunities, with the goal of improving conversational agents under data scarcity conditions. Besides enabling knowledge sharing among high- and low-resource languages and language variants, the project aims at empowering chatbots to handle code-switching utterances, which are common in many communities. Qualifications: We are looking for a motivated and enthusiastic student with a Master degree in computational linguistics, artificial intelligence, computer science, information science, or related areas. Machine learning skills are mandatory; experience with training and/or designing neural networks for language processing tasks is strongly desired; experience in conversational systems is a plus. Furthermore, an excellent knowledge of English and good academic writing skills are essential. Organisation: The PhD candidate will be based at the Centre for Language and Cognition of the University of Groningen (CLCG) and will collaborate with other researchers from the Lessen project. The research will be carried out in the context of the Computational Linguistics group ( https://www.rug.nl/research/clcg/research/cl/) of the CLCG research institute. Application Deadline: 2 October 2022 Start date: 1 January 2023 Find all details and apply here: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… For questions you can contact: Dr A. Bisazza, a.bisazza(a)rug.nl Please do NOT use the e-mail address above for applications. Please first check if your question is already answered at the application link <https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0…> . -- Arianna Bisazza Assistant Professor University of Groningen http://www.cs.rug.nl/~bisazza

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Call for Participation: FEL XXVI Albuquerque 02-04 November 2022
by Steven Krauwer 27 Sep '22

27 Sep '22

Registration is now open for the 26th Annual Conference of the Foundation for Endangered Languages, to be held at the University of New Mexico, Albuquerque, New Mexico, 02-04 November 2022. The theme of this year’s conference is: Community ownership of language education for endangered language revitalization Invited speakers: Joel Isaak, Kenaitze Indian Trip, Kenai, Alaska “Teaching Dena'ina Literacy Through Culture” Melvatha Chee, University of New Mexico, Albuquerque, New Mexico “The Documentation of Indigenous Child speech and Child-Directed Speech” Conference web page here: https://www.ogmios.org/conferences/2022/index.php Register for the conference here: https://vonweber.nl/fel/registration_form.html Registration for the conference is required for both in-person and online attendance. In-person registration will close October 15, 2022. Remote registration will remain open throughout the conference. Local organizers Siri Tuttle and Wafa Hozien of Navajo Technical University will welcome participants on a first-day trip out of the city to Crownpoint, New Mexico, the home of Navajo Tech. To join this field trip, and to participate in a special conference dinner, registrants may sign up using this Google form: https://forms.gle/D7Mb8cCgHCV4ZKJp8 The costs of both events are included in the conference registration fee. -- _______________________________________________________________________ Steven Krauwer, CLARIN/FEL/ELSNET/UiLOTS, Utrecht, NL, s.krauwer(a)uu.nl

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Fwd: Abstract deadline extension - 1st International Multimodal Communication Symposium (MMSYM)
by Multimodal Communication Symposium 27 Sep '22

27 Sep '22

Dear colleagues, On behalf of the organizing committee for the *1st International Multimodal Communication Symposium (MMSYM)*, we hope this message finds you well. We are writing to inform you that the* abstract submission deadline* has been extended until *October 7th*. Please find the Call for Papers below. ______________________________________ *Third Call for Papers: 1st International Multimodal Communication Symposium 2023* ***With apologies for multiple postings*** We are delighted to announce that the *1st International Multimodal Communication Symposium (MMSYM 2023)*, which will take place in Barcelona in April 2023 (27th-28th), has just issued a Call for Papers. The abstract submissions are now open. *Call for Papers: MMSYM 2023* *1st International Multimodal Communication Symposium, April 27-28 2023, Barcelona* The *1st International Multimodal Communication Symposium (**MMSYM 2023)* will be held from Thursday 27th to Friday 28th April 2023 at Universitat Pompeu Fabra in Barcelona, Catalonia. *MMSYM 2023* follows up on a tradition established by the Swedish Symposia on Multimodal Communication held from 1997 until 2000, and continued by the Nordic Symposia on Multimodal Communication held from 2003 to 2012. Since 2013, the symposium has acquired a broader European dimension, with editions held in Malta (2013), Tartu (2014), Dublin (2015), Copenhagen (2016), Bielefeld (2017), and Leuven (2019). To acknowledge its international ambition, this year, the symposium in Barcelona has updated its name to *1st International Multimodal Communication Symposium*. The symposium is locally organized at Universitat Pompeu Fabra with the support of the research groups collaborating within the GEHM network (GEstures and Head Movements in Language, https://cst.ku.dk/english/projects/gestures-and-head-movements-in-language-…), whose goal is to foster research into the way hand gestures and head movements interact with speech in face-to-face and human-computer multimodal communication. We welcome works aimed at exploring different approaches to multimodal communication, including research on multimodality in human communication and/or in human-computer interaction. In addition, this year’s symposium has a particular interest in three main research themes: 1) the language-specific characteristics of gesture-speech interaction 2) multimodal prominence 3) the conceptual and statistical modelling of multimodal contributions, with particular regard to head movements and the use of gaze. Therefore, we particularly encourage contributions dealing with––but not limited to––the three topics described above. The symposium will feature *keynote talks* by three confirmed invited speakers: - *Alan Cienki*, Professor of Language Use & Cognition and English Linguistics, Vrije Universiteit Amsterdam. Website: https://research.vu.nl/en/persons/alan-cienki - *Jelena Krivokapić*, Associate Professor in Linguistics, University of Michigan. Website: https://sites.lsa.umich.edu/jelenakrivokapic/ - *Catherine Pelachaud*, Director of Research, Institute of Intelligent Systems and Robotics, Campus Pierre et Marie Curie, Sorbonne Université. Website: https://www.isir.upmc.fr/personnel/pelachaud/ *Abstract submission guidelines* 1) Abstracts should be written in English and should not exceed 2 A4 pages (max. 700 words) including examples, figures and references. The format should comply with the MS Word model provided *here*: https://docs.google.com/document/d/1Eyi9laqglihk7OmfFWv8QsEd1jqzYjIi/edit?r… 2) Add at least three keywords to your submission. 3) Abstracts should be *anonymous* and submitted in pdf format. All references to authors should be omitted for purposes of blind review. 4) Authors may submit one abstract as first author and up to three abstracts as a co-author. Please use our *EasyChair* website for abstract submissions: https://easychair.org/conferences/?conf=mmsym2023 Abstracts received after the deadline will not be considered. Accepted abstracts will be allocated as either oral talk or poster presentation, and will be published in the book of abstracts. *Abstract submission*: October 7, 2022 *Notification of acceptance*: approximately December 15, 2022 For more information, please visit the symposium website at http://mmsym.org/ If you have any questions, do not hesitate to contact us at mmsym2023(a)gmail.com *Local organizing committee:* Pilar Prieto (coordinator) Florence Baills Júlia Florit-Pons Celia Gorba Sara Muñoz Mariia Pronina Patrick Rohrer Ïo Valls Ingrid Vilà-Giménez Xiaotong Xi Ting Yao Yuan Zhang *Program committee:* Patrizia Paggio (coordinator, University of Copenhagen) Jens Edlund (KTH Royal Institute of Technology, Stockholm) Marianne Gullberg (Lund University) David House (KTH Royal Institute of Technology, Stockholm) Maria Koutsombogera (Trinity College Dublin) Pilar Prieto (ICREA-Universitat Pompeu Fabra) Carl Vogel (Trinity College Dublin) Margaret Zellers (Kiel University) ------------------------------------------------ Please feel free to share the call with your colleagues/networks. Best wishes, -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023> -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023>

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Jobs: Tenure Track Assistant Professor in Computational Linguistics at Montclair
by Anna Feldman 27 Sep '22

27 Sep '22

The Department of Linguistics at Montclair State University invites candidates to apply for a tenure-track Assistant Professor in Computational Linguistics position starting on September 1, 2023. [The position is open until filled.* Applications received by November 1 will receive fullest consideration.]* Tenure Track Assistant Professor in Linguistics, with a primary specialization in computational linguistics. We seek candidates who are active researchers in a core linguistics area that complements existing departmental strengths. The successful candidate will play an important role in the continued development of our programs in computational linguistics at the graduate and undergraduate levels that prepare students for careers in industry as well as academia. The new faculty will be expected to teach undergraduate and graduate courses, have an active research agenda, and participate in graduate mentoring and student advisement. Willingness to provide service to the department, university and the larger professional community is also required. Demonstrated ability in grant seeking/writing is a plus. Link to submit your application: https://montclair .wd1.myworkdayjobs.com/en-US/JobOpportunities/details/Assistant-Professor-of-Linguistics-- Computational-Linguistics_R1002553 Further information about the department and the research interests of its faculty is available at http://www.montclair.edu/chss/linguistics/ COLLEGE/SCHOOL AND DEPARTMENT DESCRIPTIONS The Linguistics Department at Montclair State, housed within the College of Humanities and Social Sciences, offers a wide variety of graduate and undergraduate programs including B.A. in Linguistics, M.A. in Applied Linguistics, and M.S. in Computational Linguistics (jointly with Computer Science). The undergraduate concentrations include ASL/English Interpreting, TESL, and Language Engineering. We also offer Graduate Certificates in Teaching English as a Second Language, Teaching English to Speakers of Other Languages, and Computational Linguistics. The Montclair State Linguistics Department faculty are all actively engaged in research. THE UNIVERSITY Montclair State University is a nationally recognized R2 research doctoral institution that empowers students, faculty, and researchers to rise above their own expectations. Building on a distinguished history dating back to 1908, the University today has 10 colleges and schools that serve 21,000 undergraduate and graduate students with more than 300 doctoral, master’s and baccalaureate programs. Situated on a beautiful, 252-acre suburban campus just 12 miles from New York City, Montclair State welcomes a diverse population of students, many of whom are first generation, and delivers the instructional and research resources of a large public university in a supportive and sophisticated academic environment. QUALIFICATIONS Earned Ph.D. in Linguistics or related discipline required at the time of appointment. Evidence of successful teaching experience at the undergraduate and graduate levels and an active research agenda in computational linguistics. DIVERSITY, EQUITY & INCLUSION STATEMENT Montclair State University is committed to establishing and maintaining a diverse campus community that is representative of the State of New Jersey through inclusive excellence and equal opportunity. Montclair State University's commitment to access and equity is designed to prepare each graduate to thrive as a global citizen. As an affirmative action, equal opportunity institution we are working to support a campus-wide agenda to foster a community that both values and promotes the varied voices of our students, faculty, and staff. The University encourages candidates to apply who will contribute to the cultural tapestry of MSU and who value teaching a diverse student population, many of whom are first generation students. SALARY RANGE Commensurate with experience STARTING DATE September 1, 2023 REQUIRED MATERIALS: · Cover letter, curriculum vitae, research and teaching statements, and representative publications, which can be uploaded during the application process. · 3 letters of recommendation, which can be sent to: lingsearch2022@ montclair.edu APPLY BY: The position is open until filled.* Applications received by November 1 will receive fullest consideration.* You can contact the chair of the search committee, Dr. Jonathan Howell, with questions on the position at lingsearch2022(a)montclair.edu. AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION INSTITUTION

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Job: open rank faculty position in quantitative methods of humanities research
by heather froehlich 26 Sep '22

26 Sep '22

The Department of Quantitative Theory & Methods at Emory University invites applications for a tenured or tenure-track faculty member with a specialization in quantitative methods of humanities research to begin fall 2023. We seek an exceptional, active researcher in any humanities discipline (or allied field, such as information studies or computer science) with strong interdisciplinary experience. The successful applicant will teach courses in quantitative methods and their applications in their discipline at both the undergraduate and graduate levels. We are especially interested in applicants with expertise in computational text analysis, computational image/audio/video analysis, humanities data analysis, and/or cultural analytics. The position is fully funded 9-month tenure-track, and open with respect to rank. The teaching load is competitive. A Ph.D. is required by time of appointment. QTM is a new and rapidly growing interdisciplinary department at Emory with faculty from a variety of disciplinary backgrounds including biology, computer science, economics, English, operations research, political science, public health, sociology, and statistics. The successful candidate must demonstrate excellence (or the promise of excellence) in research and teaching, as well as a strong ability to teach and mentor a diverse student body. The successful candidate will also demonstrate an interest in contributing to QTM’s intellectual mission. For a full list of ECAS faculty responsibilities, see: http://college.emory.edu/faculty/documents/faculty/faculty-responsibilities… For every search, diversifying our faculty is of primary importance. Emory has a diverse student body and values both vision and experience that will foster an inclusive learning environment. All faculty applicants will be required to complete a brief statement describing their experience and vision regarding the teaching and mentorship of students of diverse backgrounds. In addition to this statement, a complete application will also consist of a cover letter, curriculum vitae, research statement, teaching portfolio, writing sample of 20-25 pages, graduate transcript, and three letters of recommendation. Review begins October 1, 2022. Applications received by November 1, 2022 will receive full consideration. To apply for this position, please submit all materials through the following link. https://apply.interfolio.com/112362. best wishes, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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Paid participant opportunity: legal and ethical issues of cross-border text and data mining
by heather froehlich 26 Sep '22

26 Sep '22

Dear all, The NEH-funded Legal Literacies for Text Data Mining, Cross-Border (LLTDM-X) <https://update.lib.berkeley.edu/2022/08/16/uc-berkeley-library-and-internet…> team seeks to compensate *10 U.S.-based* (living or working in U.S.) humanities and social sciences researchers with up to $800 stipends for discussing the legal and ethical issues they face or will face when conducting their cross-border text and data mining research. The project has previously created guidance around copyright, licensing, privacy, and ethical issues for the U.S. <https://berkeley.pressbooks.pub/buildinglltdm/> TDM (used broadly here- inclusive of any and all corpus and NLP projects) get more complicated, especially surroudning legal and ethical issues including but not limited to: + the materials you want to mine are housed in a foreign jurisdiction / are subject to foreign licensing or law, + the human subjects you are studying or who created the content you are studying reside in another country, or + the colleagues with whom you’re collaborating are abroad, and you are not sure whose law applies or what’s allowed. Their next steps are focused on corpora that are held or created beyond the U.S. border or that you access via foreign license agreements, as well as in collaboration with colleagues around the world on cross-border TDM projects. Participation in this roundtable will contribute to a Springtime NEH institute focused on cross-border text and data mining initiatives. Please see full details of how to apply to participate here, including an assessment guideline: https://buildinglltdm.org/2022/09/26/seeking-text-data-mining-researchers-f… . best wishes, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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CfP for IJEAP Special Issue
by Eniko Csomay 26 Sep '22

26 Sep '22

Call for Abstracts for the 2024 *International Journal of English for Academic Purposes *Special Issue *Corpora and English for Academic Purposes * Guest Editor: Eniko Csomay The goal of the special issue is to offer an overview of the latest developments and innovations in the study of language in the academia with special emphasis on using corpora. The special issue welcomes studies from · all academic levels (primary/elementary, secondary, and tertiary including undergraduate and graduate) · all spoken and written registers as they relate to the academic context (e.g., TED talk language in training teaching associates, classroom discourse, student writing, academic prose, etc.) · all educational contexts where English is the medium of instruction (EMI), and · all research paradigms including corpus-driven, corpus-based, corpus-informed qualitative/quantitative methods including analyses of written texts, transcribed oral texts, and/or multimodal corpora. The journal makes all articles open access (free of charge) and all submissions go through a double blind review by experts in the field. Articles for this special issue are solicited by submission as well as by invitation. Suggested topics include but are not limited to · university classroom discourse · language use within and across disciplines · student writing at the university (whether in the classroom or under testing conditions) · the language of content-based instruction in Ø dual language schools and/or immersion programs (e.g., high school) Ø tertiary education (university, vocational school) · the language of EMI contexts · multimodal corpora · language training for teaching associates · the use of corpora with young learners · international perspectives on academic language use Abstracts should describe empirical studies and include implications. Full-length articles will be 7,000 words including references and appendices. Please send a max. 600-word abstract without author(s) names. On a separate sheet, include each author’s name, title of the article, affiliation, mailing address, e-mail address, telephone number, and a 50-word biographical statement. The deadline for abstracts is October 25, 2022. Please send abstracts and inquiries to the guest editor, Eniko Csomay at ecsomay(a)sdsu.edu. *Timeline:* September 25, 2022 Call for Papers October 25, 2022 Submission of abstracts November 5, 2022 Invitation to submit to special issue (based on abstracts and invitations) May 1, 2023 Manuscript submission June 10, 2023 Completion of first round of review August 1, 2023 Revised manuscript submission (based on first round of reviews) September 10, 2023 Completion of second round of reviews November 1, 2023 Final submission November 15, 2023 Manuscripts to be sent to the publisher to work with authors on proofs March 2024 Publication -- Eniko Csomay <https://linguistics.sdsu.edu/people/csomay>, Ph.D. Professor Department of Linguistics and Asian/Middle Eastern Languages <http://linguistics.sdsu.edu/> San Diego State University San Diego, CA 92182-7727 Office phone: (+1) 619.594.3377 Graduate advisor (2021-2024) Senator, Academic Senate, California State University (ASCSU <http://www.calstate.edu/AcadSen/>) (2018-2024) Chair, General Education Advisory Committee (GEAC <https://www.calstate.edu/csu-system/administration/academic-and-student-aff…>), ASCSU (2022-2023) Vice Chair, General Education Advisory Committee (GEAC <https://www.calstate.edu/csu-system/administration/academic-and-student-aff…>), ASCSU (2020-2022) Member, Academic Affairs Committee (AA <https://www.calstate.edu/csu-system/faculty-staff/academic-senate/Pages/Aca…>), ASCSU (2019-2023) Co-editor of *The Routledge Handbook of Corpora and English Language Teaching and Learning* <https://www.routledge.com/The-Routledge-Handbook-of-Corpora-in-English-Lang…> Co-editor for Journal of Corpora and Discourse Studies <https://jcads.cardiffuniversitypress.org/> Editorial Board member for Journal of English for Academic Purposes <https://www.sciencedirect.com/journal/journal-of-english-for-academic-purpo…> , English for Specific Purposes <https://www.sciencedirect.com/journal/english-for-specific-purposes>, International Journal of English for Academic Purposes <https://www.liverpooluniversitypress.co.uk/journals/id/94/> Associate Dean, (SDSU) College of Arts and Letters <http://cal.sdsu.edu> (2009-2016) President, Fulbright Alumni Association, San Diego Chapter (2013-2018) English Language Specialist (2009 Morocco, 2015 Hungary, 2022 Taiwan) Fulbright Scholar (1995-1996) British Council Fellow (1992-1993) Soros-Oxford Fellow (1990-1991)

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Call for Participation: SemEval-2023 Shared Task 3 - Genre, Framing, and Persuasion Techniques Detection in Online News in a Multi-lingual Setup
by joedsm＠gmail.com 26 Sep '22

26 Sep '22

We are glad to invite you to participate in the SemEval-2023 Shared Task 3 on detecting the genre, the framing, and the persuasion techniques in online news. The main drive behind this task is to foster development of methods and tools to support the analysis of online media content in order to understand what makes a text persuasive: which writing style is used, what key aspects are highlighted, and which persuasion techniques are used to influence the reader. The data used for for this task is made of articles collected from 2020 to mid 2022, they revolve around a range of widely discussed topics such as COVID-19, climate change, abortion, migration, the Russo-Ukrainian war, and local elections. The data presents several novelties: it is multilabel, multilingual, uses an updated taxonomy of persuassion techniques and covers complementary dimensions of what makes a text persuasive. Are you interested in using AI systems to analyse political speech, media bias or rhetorics? Then you should not miss this task!!! URL https://propaganda.math.unipd.it/semeval2023task3/ TASKS We offer three subtasks on news articles in six languages (English, French, German, Italian, Polish, and Russian). Subtask 1: NEWS GENRE CATEGORISATION Given a news article, determine whether it is an opinion piece, aims at objective news reporting, or is a satire piece. This is a multi-class task at article-level. Subtask 2: NEWS FRAME CATEGORISATION Given a news article, identify the generic frames used in the article. This is a multi-class task at article-level. Subtask 3: PERSUASION TECHNIQUE DETECTION Given a news article, identify the persuasion techniques in each paragraph. This is a multi-label task at paragraph level. PARTICIPATION & EVALUATION The participants may take part in any number of subtask-language pairs (even just one), and may train their systems using the data for all languages (in a multilingual setup). To promote the development of language-agnostic solutions, there will be also two "surprise" languages for which we will release only test data for evaluation purposes. IMPORTANT DATES 23 September 2022: Registration opens 23 September 2022: Release of the first batch of the training\development set (next batches will follow regularly). 12 January 2023: Release of the test set 22 January 2023: Test submission site closes February 2023: Paper Submission Deadline March 2023: Notification to authors April 2023: Camera ready papers due Summer 2023: SemEval 2023 workshop TASK ORGANIZERS Giovanni Da San Martino, Preslav Nakov, Jakub Piskorski, Nicolas Stefanovitch

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Postdoctoral position at Cardiff University
by Steven Schockaert 26 Sep '22

26 Sep '22

Location: Cardiff, UK Deadline for applications: 17th October 2022 Start date: 1st January 2023 (or later) Duration: 30 months Keywords: learning & reasoning, natural language processing, commonsense reasoning Details about the post Applications are invited for a Research Associate post in the Cardiff University School of Computer Science & Informatics, to work on the EPSRC Open Fellowship project ReStoRe (Reasoning about Structured Story Representations), which is focused on story-level language understanding. The overall aim of this project is to develop methods for learning graph-structured representations of stories. For this post, the specific focus will be on developing common sense reasoning strategies, based on graph neural networks, to fill the gap between what is explicitly stated in a story and what a human reader would infer by “reading between the lines”. More details about the post and instructions on how to apply are available here: https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partner… Background about the ReStoRe project When we read a story as a human, we build up a mental model of what is described. Such mental models are crucial for reading comprehension. They allow us to relate the story to our earlier experiences, to make inferences that require combining information from different sentences, and to interpret ambiguous sentences correctly. Crucially, mental models capture more information than what is literally mentioned in the story. They are representations of the situations that are described, rather than the text itself, and they are constructed by combining the story text with our commonsense understanding of how the world works. The field of Natural Language Processing (NLP) has made rapid progress in the last few years, but the focus has largely been on sentence-level representations. Stories, such as news articles, social media posts or medical case reports, are essentially modelled as collections of sentences. As a result, current systems struggle with the ambiguity of language, since the correct interpretation of a word or sentence can often only be inferred by taking its broader story context into account. They are also severely limited in their ability to solve problems where information from different sentences needs to be combined. As a final example, current systems struggle to identify correspondences between related stories (e.g. different news articles about the same event), especially if they are written from a different perspective. To address these fundamental challenges, we need a method to learn story-level representations that can act as an analogue to mental models. Intuitively, there are two steps involved in learning such story representations: first we need to model what is literally mentioned in the story, and then we need some form of commonsense reasoning to fill in the gaps. In practice, however, these two steps are closely interrelated: interpreting what is mentioned in the story requires a model of the story context, but constructing this model requires an interpretation of what is mentioned. The solution that is proposed in this fellowship is based on representations called story graphs. These story graphs encode the events that occur, the entities involved, and the relationships that hold between these entities and events. A story can then be viewed as an incomplete specification of a story graph, similar to how a symbolic knowledge base corresponds to an incomplete specification of a possible world. The proposed framework will allow us to reason about textual information in a principled way. It will lead to significant improvements in NLP tasks where a commonsense understanding is required of the situations that are described, or where information from multiple sentences or documents needs to be combined. It will furthermore enable a step change in applications that directly rely on structured text representations, such as situational understanding, information retrieval systems for the legal, medical and news domains, and tools for inferring business insights from news stories and social media feeds.

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CFP - SIGIR Forum - December 2022 Edition
by Tirthankar Ghosal 26 Sep '22

26 Sep '22

CFP - SIGIR Forum - December 2022 Edition ===================================== Dear Colleague We invite you to submit your contribution to the upcoming December 2022 Edition of the SIGIR Forum, the official newsletter of the ACM Special Interest Group on Information Retrieval (SIGIR). The SIGIR Forum consists of two issues (June, December). It serves as a medium for disseminating general information and opinions on matters of interest to the IR community, conference and workshop reports, papers and book reviews, and Ph.D. dissertation abstracts. *** Call for Contributions for the December 2022 issue *** We invite contributions to the following categories, including: - Reports of IR-related conferences and workshops: Reports from the chairpersons of IR-related workshops (such as the satellite workshops of SIGIR, JCDL, or CIKM, or other workshops such as NTCIR, INEX) or IR-related conferences other than SIGIR (such as ECIR, HLT, CHIIR, SPIRE, or TREC); - Papers from IR-related invited talks which are not published in full in the relevant conference proceedings; - Papers describing new public infrastructures for IR research, such as in-depth descriptions of newly available test collections, newly available open-source or public domain IR software of particular relevance, new evaluation campaigns, etc.; - Papers about funding initiatives, industry trends, connections between research and industry, legal issues that are of potential interest to the IR community at large; - Any paper that, while of general interest to the IR community, is non-technical, and because of this would be unsuitable for publication in technical publishing forums such as the SIGIR Annual Conference; - Book reviews, bibliographies of general interest to the IR community; - Abstracts of recently published Ph.D. theses of interest to the general IR community. Note: Unless specifically stated, contents of the SIGIR Forum do not represent the official position of SIGIR or ACM. Contributions to the Forum are unrefereed papers unless otherwise indicated. The editorial board may desk-reject papers if they are out of scope. From June 2020 onwards, the SIGIR Forum newsletter is continuing only online. *** Important dates for the December 2022 Edition *** - 11 November 2022: Deadline for contributions - December 2022: Online publication *** Submission Instructions *** Kindly see http://sigir.org/forum/ for details on previous issues, template, and submission instructions and checklist. For inquiries about contributions, please contact the editors at editors_SIGIR(a)acm.org Tirthankar Ghosal (UFAL, Charles University, Prague) Josiane Mothe (IRIT, Univ. de Toulouse) Julián Urbano (Delft University of Technology) -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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Job announcement: postdoc in the NLP group at the University of Mannheim
by Simone Paolo Ponzetto 26 Sep '22

26 Sep '22

Dear all, I am looking for a postdoctoral researcher to join us in the NLP group at the University of Mannheim [1,2]. Duties include teaching in our BSc and MSc Business Informatics and Data Science programs and contributing to the research activities of the group. Candidates should have a PhD in CL/NLP, computer science or a related discipline, a proven academic track record (as demonstrated by publications at top-tier conferences) and be good team players. Due to the position involving bachelor-level teaching, being fluent in German is definitely a plus, although not a must-have. We are located in Mannheim, a very multicultural city in the south-west of Germany. We offer a sustainable life/work balance and non-toxic academic environment. We are strongly committed to diversity and welcome applications from members of underrepresented groups. The position is available immediately and will remain open until filled (applications are considered as soon as they are submitted). The initial contract will be for 3 years with the option of extension. Salary range is according to the German public sector pay scale E13. Applications can be made per e-mail (jobs(a)informatik.uni-mannheim.de) and should include CV and publication record, names of two references and a research statement. All documents should be e-mailed as a single PDF with your last name as filename. Feel free to contact me if you have questions about the position! Best - Simone [1] https://tinyurl.com/r3j377nn [2] https://dblp.uni-trier.de/pid/04/2532.html -- Simone Paolo Ponzetto Data and Web Science Group University of Mannheim, Germany http://dws.informatik.uni-mannheim.de/ponzetto Tel: +49 621 181 2647

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EVALITA 2023: Call for tasks - *** NEW DEADLINES and TIMELINE ***
by Giulia Venturi 26 Sep '22

26 Sep '22

EVALITA 2023: Call for tasks - NEW DEADLINES and TIMELINE EVALITA 2023 is an initiative of AILC (Associazione Italiana di Linguistica Computazionale, AILC https://www.ai-lc.it/). The final workshop will be held on **September 7th-8th in Parma**. As in the previous editions (https://www.evalita.it/), EVALITA 2023 will be organized along a few selected tasks, which provide participants with opportunities to discuss and explore both emerging and traditional areas of Natural Language Processing and Speech for Italian. The participation is encouraged for teams working both in academic institutions and industrial organizations. TASK PROPOSAL SUBMISSION Tasks proposals should be no longer than 4 pages and should include: - task title and acronym; - names and affiliation of the organizers (minimum 2 organizers); - brief task description, including motivations and state of the art; - explanation of the international relevance of the task; - description and examples of the data, including information about their availability, development stage, and issues concerning privacy and data sensitivity. The examples are mandatory because they are intended to give potential participants an idea of what the task data will look like, how it’ll be formatted, etc. - expected number of participants and attendees; - names and contact information of the organizers. In submitting your proposal, please bear in mind that we encourage: - challenging tasks involving linguistic analysis, e.g., beyond “simple” classification problems; - tasks focused on multimodality, e.g., considering both textual and visual information; - tasks characterized by different levels of complexity, e.g., with a straightforward main subtask and one or more sophisticated additional subtasks; - the re-annotation/expansion of datasets from previous years with new annotation levels, and texts from publicly available corpora; - both new tasks and re-runs: for new tasks, organizers will have to specify in the proposal why it would attract a reasonable number of participants, and why it is needed; - application-oriented tasks, that is tasks that have a clearly defined end-user application showcasing; - multilingual tasks, i.e. with data both in Italian and in other languages; - industrial tasks, i.e. tasks with real data provided by companies. The organizers of the accepted tasks should take care of planning, according to the scheduled deadlines (see below): - the development and distribution of datasets needed for the contest, i.e. data for training and development, and data for testing; the scorer to be used to evaluate the submitted systems should be included in the release of development data; - the development of task guidelines, where all the instructions for the participation are made clear together with a detailed description of data and evaluation metrics applied for the evaluation of the participant results; - the collection of participants results; - the evaluation of participants results according to standard metrics and baseline(s); - the solicitation of participation and of submissions; - the reviewing process of the papers describing the participants approach and results (according to the template to be made available by the EVALITA 2023 chairs); - the production of a paper describing the task (according to the template to be made available by the EVALITA 2023 chairs). *** Email your proposal in PDF format to evalita2023(a)gmail.com with "EVALITA 2023 TASK Proposal" as the subject line by the submission deadline: October 17th 2022. *** Please feel free to contact the EVALITA 2023 chairs at evalita2023(a)gmail.com in case of any questions or suggestions. NEW deadlines of the task proposal: - October 4th 2022 October 17th 2022: submission of task proposals - October 18th 2022 October 24th 2022: notification of task proposal acceptance NEW timeline of EVALITA 2023: - 7th February 2023: development data available to participants - 30th April 2023: registration closes - 2nd-19th May 2023: evaluation windows - 30th May 2023: assessment returned to participants - 14th June 2023: final reports (from participants) due to task organizers - 28th June 2023: final reports (from task organizers) due to EVALITA chairs - 10th July 2023: review deadline - 25th July 2023: camera ready version deadline - 7th-8th September 2023: final workshop in Parma EVALITA 2023 CHAIRS Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” - CNR)

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Second call for the 2022 ALTA shared task
by Diego Molla-Aliod 26 Sep '22

26 Sep '22

CALL FOR PARTICIPATION http://www.alta.asn.au/events/sharedtask2022 The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students. Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology. This year's shared task is a re-visit of the 2012 task: PIBOSO Sentence Classification - 10 years later. The goal of this task is to build automatic sentence classifiers that can map the content of biomedical abstracts into a set of pre-defined categories, which are used for Evidence-Based Medicine (EBM). EBM practitioners rely on specific criteria when judging whether a scientific article is relevant to a given question. They generally follow the PICO criterion: Population (P) (i.e., participants in a study); Intervention (I); Comparison (C) (if appropriate); and Outcome (O) (of an Intervention). Variations and extensions of this classification have been proposed, and for this task we will extend PICO by adding the classes Background (B) and Study Design (S); and including sentences that have no relevant content: Other (O). Therefore, the goal will be to classify the provided sentences according to the PIBOSO schema. Such information could be leveraged in various ways: e.g., to improve search performance; to enable structured querying with specific categories; and to aid users in more quickly making judgements against specified PICOSO criteria. The tentative key dates are: - Right Now - Registration and release of training and development data - 04 Oct 2022 - Release of test data - 11 Oct 2022 - Deadline of submission of runs - 14 Oct 2022 - Notification of results - 10 Nov 2022 - Deadline of submission of system description - 15-16 Dec 2022 - Presentation of results at ALTA 2022 Details of the task and registration are available at the competition website (http://www.alta.asn.au/events/sharedtask2022). Good luck! Diego Molla-Aliod -- Dr. Diego Mollá-Aliod Senior Lecturer School of Computing | Room 358 (Level 3), 4 Research Park Drive Macquarie University, NSW 2109, Australia T: +61 2 9850 9531 | F: +61 2 9850 9551 https://macquarie.zoom.us/my/diego.molla http://comp.mq.edu.au/~diego I acknowledge the traditional custodians of the land on which Macquarie University stands – the Wallumattagal clan of the Dharug nation – whose cultures and customs have nurtured and continue to nurture this land since time immemorial. I pay my respects to Elders past and present.

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Assistant Professor, Teaching Stream - Computational Linguistics
by Ewan Dunbar 24 Sep '22

24 Sep '22

Assistant Professor, Teaching Stream - Computational Linguistics Closing Date: 11/14/2022, 11:59PM ET Description: The Department of Language Studies<https://www.utm.utoronto.ca/language-studies/> and the Department of Mathematical and Computational Sciences<https://www.utm.utoronto.ca/math-cs-stats/home> at the University of Toronto Mississauga invites applications for a full-time teaching stream appointment in the area of Computational Linguistics. The successful candidate will hold a joint appointment in the Department of Language Studies (55%) and in the Department of Mathematical and Computational Sciences (45%). The appointment will be at the rank of Assistant Professor, Teaching Stream with an expected start date of July 1, 2023, or shortly thereafter. The successful candidate must have earned a PhD in Linguistics, Computer Science, or Computer Science Education by the time of appointment or shortly thereafter, with a demonstrated record of excellence in teaching. The ideal candidate will have formal training in both linguistics and computer science. Candidates must have evidence of excellence in teaching in a degree granting program at the undergraduate program level, including (but not limited to) preparation and delivery of lessons, curriculum development, development of online material/lectures, and development of equity, diversity inclusion, and decolonization (EDID) initiatives. Additionally, candidates must possess a demonstrated commitment to excellent pedagogical practices and a demonstrated interest in teaching-related scholarly activities. Evidence of excellence in teaching and a commitment to excellent pedagogical inquiry can be demonstrated through teaching accomplishments, awards and accolades, publications and/or presentations at significant conferences, the teaching dossier submitted as part of the application including a strong teaching statement, pedagogically informed syllabi and course materials, outstanding teaching evaluations, as well as strong letters of reference from referees of high standing. Responsibilities include teaching introductory computer science and computational linguistics to students with diverse disciplinary backgrounds (esp. humanities and social sciences) in addition to linguistics and computational linguistics courses at intermediate and advanced undergraduate levels. The successful candidate will also be expected to create experiential learning opportunities for undergraduate students and to participate in the development of interdisciplinary programs that would involve linguistics and computer science. Scholarly activities for this position include active engagement in the scholarship of teaching and learning and/or disciplinary research as it relates to the faculty member’s teaching. In addition to teaching and scholarly activity, the successful candidate will be expected to perform standard professional and administrative activities typical of an academic department. The University of Toronto is an international leader in both Linguistic and Computer Science research and education. We seek candidates who demonstrate the intellectual curiosity and drive to pursue innovative pedagogical methods and pioneer new programs and curricula in Computational Linguistics. The successful candidate will join a vibrant group of teaching stream faculty members in both departments who are engaged in pedagogical and curricular innovations and research. Faculty are expected to combine their expertise in the discipline with best practices in teaching to create rich learning environments that embrace diversity, promote equity, and integrate research in a manner that challenges students to develop skills and ethics to be leading citizens. For more information about University of Toronto Mississauga and the Department of Language Studies, please visit: https://www.utm.utoronto.ca/ and https://www.utm.utoronto.ca/language-studies/. For more information about the Department of Mathematical and Computational Sciences, please visit https://www.utm.utoronto.ca/math-cs-stats/home. Salary will be commensurate with qualifications and experience. All qualified candidates are invited to apply online by visiting this link: https://jobs.utoronto.ca/job/Mississauga-Assistant-Professor%2C-Teaching-St… Applications must include: * a cover letter * a curriculum vitae * a teaching dossier (including a teaching statement, sample syllabi of previously taught courses & course materials, and teaching evaluations) * two innovative syllabi: a second-year introduction to programming for linguistics students (est. enrollment of 45 students) and one for an upper-year seminar in computer science appropriate for students enrolled in either linguistics or computer science (est. enrollment of 20) * an outline of current and future teaching-related interests * a diversity statement as it relates to teaching, research, and service (as outlined below) * one or two representative samples of teaching-related scholarship (e.g., publication, working paper, or poster) in the area of Computational Linguistics and/or the scholarship of teaching and learning in (Computational) Linguistics. At UTM we are committed to fostering an environment of diversity and inclusion. With an enviable diverse student body, we especially welcome applications from candidates who identify as Indigenous, Black, or racially visible (persons of colour), and who have experience working with teaching or mentoring diverse groups or students. Candidates must demonstrate, in their application materials, an ability to foster diversity on campus and within the curriculum or discipline, and must show evidence of a commitment to equity, diversity, inclusion, and the promotion of a respectful and collegial environment. Candidates must submit a statement describing their contributions to equity, diversity, and inclusion, which might cover topics such as (but not limited to): teaching that incorporates a focus on underrepresented communities; efforts undertaken to develop inclusive pedagogies, collaboration, and engagement with underrepresented communities; and mentoring of students from underrepresented groups. If you have questions about this statement, please contact Professor Salvatore Bancheri, the Chair at langstudies.chair(a)utoronto.ca<mailto:langstudies.chair@utoronto.ca>. Applicants must provide the names and contact information of three referees. The University of Toronto’s recruiting tool will automatically solicit and collect letters of reference from each once an application is submitted. Applicants, however, remain responsible for ensuring that referees submit letters (on letterhead, dated and signed) and that the letters are submitted by the referees by the closing date. Submission guidelines can be found at http://uoft.me/how-to-apply. Your CV and cover letter should be uploaded into the dedicated fields. Please combine additional application materials into one or two files in PDF/MS Word format. Questions about this position should be directed to Joanna Szewczyk, Assistant to the Chair at assistant.dls.utm(a)utoronto.ca<mailto:assistant.dls.utm@utoronto.ca>. All application materials, including reference letters, must be received by 11:59pm EDT on November 14, 2022. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. Diversity Statement The University of Toronto is strongly committed to diversity within its community and especially welcomes applications from racialized persons / persons of colour, women, Indigenous / Aboriginal People of North America, persons with disabilities, LGBTQ2S+ persons, and others who may contribute to the further diversification of ideas. As part of your application, you will be asked to complete a brief Diversity Survey. This survey is voluntary. Any information directly related to you is confidential and cannot be accessed by search committees or human resources staff. Results will be aggregated for institutional planning purposes. For more information, please see http://uoft.me/UP. Accessibility Statement The University strives to be an equitable and inclusive community, and proactively seeks to increase diversity among its community members. Our values regarding equity and diversity are linked with our unwavering commitment to excellence in the pursuit of our academic mission. The University is committed to the principles of the Accessibility for Ontarians with Disabilities Act (AODA). As such, we strive to make our recruitment, assessment and selection processes as accessible as possible and provide accommodations as required for applicants with disabilities. If you require any accommodations at any point during the application and hiring process, please contact uoft.careers(a)utoronto.ca<mailto:uoft.careers@utoronto.ca>.

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Kind reminder: NLP Special Issue
by Florentina Hristea 24 Sep '22

24 Sep '22

Special Issue: Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) MATHEMATICS NEW IMPACT FACTOR 2.592 An Open Access Journal by MDPI link: https://www.mdpi.com/journal/mathematics Guest Editor: * Florentina Hristea, University of Bucharest Deadline for manuscript submissions: April 23, 2023 (Please note that this deadline will not be extended.) Message from the Guest Editor and Special Issue Web page: https://www.mdpi.com/si/mathematics/NLP_HLT A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors<https://www.mdpi.com/journal/mathematics/instructions> page. For further information and questions, please contact: Florentina Hristea University of Bucharest fhristea(a)fmi.unibuc.ro<mailto:fhristea@fmi.unibuc.ro> https://cs.unibuc.ro/~fhristea/

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culturally charged and societally comprehensive multilingual text banks ...
by Albretch Mueller 24 Sep '22

24 Sep '22

marxists.org keeps quite representative text banks in various languages penned by or pertaining to authors in various countries, but for the most part cultured around one theme. They also have texts by and/or about philosophy in general, such as John Locke's: https://www.marxists.org/reference/subject/economics/locke/index.htm Plato, Machiavelli and Aquinas. Something great about those "marxists" is that they don't use javascript crap. Do you know of any other similar sites out there? lbrtchx

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Job: Research Associate -- Metaphor Analysis
by Stefanie Dipper 23 Sep '22

23 Sep '22

Research Associate (m/f/d, fulltime), from Dec 1, 2022 until Jan 31, 2025. Application deadline: Oct 15, 2022 The Collaborative Research Center (CRC) 1475 "Metaphors of Religion" investigates the significance of metaphors for religious meaning making in language use. Together with researchers from religious studies and computational linguistics, the information infrastructure project (INF) "Metaphor Base Camp: Providing the Common Data Basis and Advancing Digital Research Methods for Religious Metaphors" will build the digital research infrastructure for the entire collaboration. Unique research data combined with the possibilities of computer-aided analysis promise previously unknown insights into the use of metaphors across times and cultures. In detail, your tasks include: • Joint research and development in an interdisciplinary research collaboration, • Implementation of cutting-edge use cases from the arts and humanities and • Advancement of modern data management technologies. Personal Qualification • Universtity degree with a major in computational linguistics, corpus linguistics, digital humanities, or a related field • Excellent German and English language skills (written and spoken) • Good presentation and publication skills Ideally, • You have experience in corpus linguistics. We offer: • Challenging and interesting tasks with a high degree of personal responsibility • Team-oriented cooperation in a committed, international and appreciative team We are looking forward to your application! The application (in one PDF file) should mention the reference number ANR 1047 and should include a cover letter, CV, transcript of records, list of publications, and copies of the master's thesis/dissertation and up to three other relevant papers, names and e-mail addresses of two references. The original and legally binding job announcement advertisement in German can be found here: https://jobs.ruhr-uni-bochum.de/jobposting/223502f5e1605285c6eb2f232744279b…. Contact person for further information: Prof. Dr. Stefanie Dipper, stefanie.dipper(a)rub.de

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2nd CfP: Special Issue of RiCL on spoken corpora
by Robbie Love 23 Sep '22

23 Sep '22

Dear colleagues This is a reminder of the deadline for abstract submissions to be considered for a special issue of the Research in Corpus Linguistics (RiCL) journal on "Innovations in the compilation and analysis of spoken corpora". The deadline for proposals is Friday 7th October Please find more information below. If this is of interest to you and you would like to discuss any ideas you may have, then please don't hesitate to email me directly. Best wishes Robbie *** Special Issue of RiCL on "Innovations in the compilation and analysis of spoken corpora" Edited by Robbie Love<https://research.aston.ac.uk/en/persons/robbie-love> (Aston University) Corpora derived from recordings of spoken language present unique challenges for linguists, from the perspectives of corpus design, compilation, processing and analysis, among others. Over the last few decades, there have been many developments in these areas, largely driven by technological innovations, for example: the ubiquity of digital recording devices for the easy capture of speech; the wide availability of video and audio data, from a variety of discourse contexts; advancements in automated transcription; developments in the exploitation of multimodal corpora; and advancements in the functionality of popular corpus tools to process highly-annotated corpora. This special issue of RiCL intends to capture recent innovations in the compilation and analysis of spoken corpora - both monomodal and multimodal - and highlight the current challenges and future opportunities in this area of study. Potential topics for the special issue include innovations in: * The design of (monomodal or multimodal) spoken corpora in a variety of domains * The collection, processing and exploitation of metadata (e.g. social variables, contextual variables, etc.) * The transcription of audio or audio-visual data * The analysis of spoken corpora, including but not limited to: theoretical frameworks, tool development, visualisation * The generation of knowledge about language and communication deriving from spoken corpora * The annotation and processing of spoken corpus data * The applications and impacts of spoken corpus analysis * The compilation and analysis of spoken corpora in lesser-studied language varieties This is an indicative and non-exhaustive list. To be clear, research on any language variet(y/ies) is welcome, and papers may focus on corpus compilation and/or analysis. If you have an idea but are not sure whether it would be suitable, please get in touch. Important Dates * Deadline for proposals: October 7, 2022 * Outcome of proposal review: October 28, 2022 * Deadline for manuscript first drafts: May 5, 2023 * Notification of reviewer outcome: September 1, 2023 * Deadline for manuscript final drafts: December 15, 2023 Special issue publication: Spring 2024 Proposal Format & Submission Submit a one-page abstract and tentative title for your proposed paper. The abstract should introduce the topic, motivate the study, summarise the methods and (where appropriate) describe the data to be analysed. Preliminary results are welcome but not required (i.e. we will consider proposals based on planned but not yet completed research). Please also include your name(s) and full contact information. Submit your proposal to Robbie Love (r.love(a)aston.ac.uk<mailto:r.love@aston.ac.uk>). RiCL's submission guidelines can be found at: Submissions | Research in Corpus Linguistics (aelinco.es)<https://ricl.aelinco.es/index.php/ricl/about/submissions> Peer Review Following the review of abstracts, manuscripts invited for submission to the special issue will undergo double-blind peer review. Dr Robbie Love FHEA (he/him) Lecturer in English Language Director of Undergraduate English Programmes [cid:image002.png@01D8CF43.208E6130] Department of English, Languages and Applied Linguistics, NW914A Birmingham, B4 7ET, UK aston.ac.uk @lovermob<https://twitter.com/lovermob>

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Call for Abstracts: Robust and flexible interactive language technology for human empowerment @ IPrA, July 9–14, 2023, Brussels
by #LIESENFELD ANDREAS MARIA# 22 Sep '22

22 Sep '22

Dear colleagues, we are seeking contributions (abstracts, max. 500 words) to a panel on “Robust and flexible interactive language technology for human empowerment” at the International Pragmatics Conference (IPrA), July 9–14, 2023 in Brussels, Belgium. IPrA participants generally share interest in how language is used and are highly diverse in their methods of investigation, their disciplinary backgrounds, and interest in fundamental or applied research. Beyond flashy PR and AI hype, interacting language technology has the potential to change many people’s lives, as it makes available new interactional resources and communicative modalities. We invite contributions by anybody working at the intersection of pragmatics, artificial intelligence, conversational agents interested in developing theories, architectures, or implementations of interactive systems for diverse user groups. The submission deadline is November 1, 2022. The panel description is attached to this email. We are looking forward to your contributions! Andreas Liesenfeld and Hendrik Buschmeier

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3-year ASR Postdoc Position in Germany (University of Marburg)
by Prof. Dr. Lucie Flek 22 Sep '22

22 Sep '22

Starting date: 1.12.2022 (flexible) Application deadline: 30.9.2022 The Language Technologies Group of Prof. Flek at the Mathematics and Computer Science Department of the University of Marburg is hiring a postdoctoral researcher for the project "Analysis of the Dynamics of Dialectal Speech”. You will work in an interdisciplinary, international project team (linguistics, NLP, ML) on the analysis of speech data. You will conducting independent research in the area of robust neural speech recognition, dialect classification and speaker modeling, based on the large speech datasets collected at the German Sprachatlas Research Center. More information: https://caisa-lab.github.io/2022/08/25/hiring-postdoc.html

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Two fully funded PhD positions in linguistics/computational linguistics at Stockholm University
by Robert Östling 22 Sep '22

22 Sep '22

(In English below) Institutionen för lingvistik vid Stockholms universitet utlyser två doktorandtjänster. Alla ämnen inom institutionens forskningsprofil är välkomna, men vi inom avdelningen för datorlingvistik blir extra glada åt ansökningar riktade mot just datorlingvistik. Sökanden med datorlingvistisk profil är välkomna att kontakta Robert Östling (robert(a)ling.su.se) eller Mats Wirén (mats.wiren(a)ling.su.se) för diskussioner rörande forskningsplanen. Mer information och ansökningsformulär finns på följande sida: https://www.su.se/om-universitetet/jobba-p%C3%A5-su/lediga-jobb/doktorandpl… Ansökningsdödlinje är 15 oktober 2022. The Department of Linguistics at Stockholm University is happy to announce two fully funded 4-year PhD positions. All research topics within the department's research profile are welcome, but at the section for computational linguistics we are particularly looking forward to applications geared towards computational linguistics. Applicants with such a profile are welcome to contact Robert Östling (robert(a)ling.su.se) or Mats Wirén (mats.wiren(a)ling.su.se) for discussions related to the research plan. More information and a digital application form can be found on the following web page: https://www.su.se/english/about-the-university/work-at-su/available-jobs/ph… The application deadline is October 15th, 2022

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PhD position in Neural Machine Translation
by Spanakis, Jerry (DKE) 22 Sep '22

22 Sep '22

Hi all, At Department of Advanced Computing Sciences (DACS)<https://www.maastrichtuniversity.nl/research/department-advanced-computing-…>, at Maastricht University in The Netherlands, we have a PhD position opening on Neural Machine Translation on an exciting new Horizon project, involving developing a multi-lingual translation model to be used in order to optimise user experience with extended reality applications. You will be working closely with an interdisciplinary team Deadline is: October 2nd, full info and how to apply here<https://www.academictransfer.com/en/317743/phd-candidate-in-neural-machine-…> If you have questions about the city, department (or anything else), feel free to ask me! Best, -Jerry Gerasimos (Jerry) Spanakis, PhD Assistant Professor Department of Advanced Computing Sciences | Maastricht Law+Tech Lab Faculty of Science and Engineering jerry.spanakis(a)maastrichtuniversity.nl<mailto:jerry.spanakis@maastrichtuniversity.nl> https://dke.maastrichtuniversity.nl/jerry.spanakis/ [cid:image001.png@01D4BD3B.1A7CBE90] https://www.twitter.com/gerasimoss Paul-Henri Spaaklaan 1, 6229EN, Maastricht, The Netherlands, Room C4.029A Postbus 616, 6200 MD Maastricht T 0031(0)4338-83916 [cid:image002.jpg@01D4BD3B.1A7CBE90]

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ECIR’23: Final call for Full Papers (due Sep 30/Oct 7)
by Jaap Kamps 22 Sep '22

22 Sep '22

ECIR'23: 45th European Conference on Information Retrieval Dublin, Ireland, April 2-6, 2023 https://ecir2023.org/ Sep 30, 2022: Abstract deadline (required!) Oct 7, 2022: Full paper deadline ECIR’23 is seeking submissions of direct and indirect relevance to information retrieval in a broad sense, including the main challenges of providing effective search and retrieval, multimedia and multi-modal content management, user interaction, large-scale search, machine learning, as well as societal and technical challenges. Detailed Call for Papers: https://easychair.org/cfp/ecir23 PC Chairs: Jaap Kamps (Univ. Amsterdam), Lorraine Goeuriot (Univ. Grenoble Alpes), Fabio Crestani (USI), ecir23-pc-chairs(a)easychair.org FAQ #1: The most asked question is about the length... ECIR full papers are 12 pages (+ refs) in LNCS style, making them attractive for both expanded ACM style short papers, as well as more focused ACM style full papers. We love to get both!

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Please circulate: MA Programme in Linguistics (University of Oslo, Norway)
by Patrick G. Grosz 22 Sep '22

22 Sep '22

Dear colleagues, I hope this email finds you well! Please could you distribute the following information to potential applicants? *MA Programme in LINGUISTICS at the University of Oslo* <https://www.uio.no/english/studies/programmes/linguistics-master/> *REGISTRATION FOR AUTUMN 2023* * non-EU/non-EEA applicants:* application portal opens on 15 October and closes on 15 November 2022 * EU/EEA applicants:* application portal opens on 1 February and closes on 1 March 2023 *Location: *Department of Linguistics and Scandinavian Studies, University of Oslo (Norway) *Teaching language: *English (This is a bilingual MA programme. The programme is offered in both English and Norwegian. Courses will be taught in English if there are students registered who cannot speak Norwegian.) *Approximate fees: *The MA programme in Linguistics is FREE OF CHARGE (also for international students). (Please note that the University of Oslo has an obligatory semester fee of approx. 75 Euro for all of its students, which includes membership in the student welfare organization SiO.) *Duration and study load: *Two academic years with a study load of 120 ECTS credits. Details of the programme structure can be found at <https://www.uio.no/english/studies/programmes/linguistics-master/structure/> The University of Oslo (UiO), Norway’s oldest university and one of its largest, with the highest number of language subjects and students in language and linguistics, is now accepting international applications for its Master’s programme in Linguistics. The two-year master’s programme in linguistics at the University of Oslo specializes in general linguistics, covering a variety of theoretical orientations, and including foci on typology, theoretical syntax, formal semantics and pragmatics, experimental phonetics and phonology, language contact and language change (historical linguistics). Methodologically, it incorporates a range of different approaches, including fieldwork and elicitation techniques, language documentation, linguistic anthropology, psycholinguistic experimentation, and corpus linguistics. The department has also recently established a research group on ‘super linguistics’, the application of linguistic methodology to objects of study beyond natural language (including gestures, emoji, and dance). Regional foci of research within the department include the Pacific region, the Indian subcontinent, Ethiopia, the languages of Scandinavia, and languages of North America; students are particularly encouraged to carry out projects that combine theoretical questions with empirical data, as well as projects that involve the theoretical analysis of lesser-described languages. The master’s programme in linguistics is hosted at the University of Oslo’s Department of Linguistics and Scandinavian Studies, which is host to two state-of-the-art labs, the Text Laboratory (<https://www.hf.uio.no/iln/english/about/organization/text-laboratory/>), which hosts corpora and databases, and the Socio-Cognitive Laboratory (<https://www.hf.uio.no/multiling/english/topics/lab/>), with a video studio, an EEG room, and an eye-tracking room. Students will receive a solid background in general linguistics, and will be educated by an international faculty, holding PhD degrees from top universities in the USA and Europe, including Norway, who maintain active networks with researchers around the world, which will enable students to start building an international network in linguistics while carrying out their own independent research project. The University of Oslo has also established high-profile exchange agreements that will enable students to spend a semester abroad if they wish to do so during their MA studies. The training will equip students for pursuing a PhD position, or for entering the job market both in the public sector and in private industry (language technology). Recent graduates of our MA in Linguistics have, amongst other career paths, continued with PhD studies at prestigious universities in the USA and Europe (including Norway), and worked as language consultants for the HBO series “Beforeigners”. *Entry profile: *Applicants must have completed an in-depth study of at least 80 ECTS within linguistics (including a minimum of 40 ECTS in core areas such as phonetics, phonology, morphology, syntax, semantics or pragmatics). For details on which courses will qualify you for application, visit <https://www.uio.no/english/studies/programmes/linguistics-master/admission/> For further information about the academic programme, please contact the linguistics program coordinator: Prof. Patrick Georg Grosz p.g.grosz(a)iln.uio.no For further information about the admission requirements, please contact: frontoffice(a)iln.uio.no Please note that English language proficiency must be documented with a valid TOEFL ibt, IELTS Academic or PTE Academic test score for students who are not covered by one of the exemptions. The test result cannot be older than two years on the date of the application deadline. The list of exemptions can be found at <https://www.uio.no/english/studies/programmes/linguistics-master/admission/> For information about the application process visit: <https://www.uio.no/english/studies/programmes/linguistics-master/admission/> -- Patrick G. Grosz Professor of Linguistics / Professor i lingvistikk Department of Linguistics and Scandinavian Studies / Institutt for lingvistiske og nordiske studier University of Oslo / Universitetet i Oslo https://patrickgrosz.org

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Workshop: Pragmatic Variation across the New Englishes, Aug 17-18, 2023
by Robert Fuchs 21 Sep '22

21 Sep '22

Workshop *Pragmatic Variation across the New Englishes* August 17 and 18, 2023 University of Münster, Germany https://www.uni-muenster.de/Anglistik/Research/EngLing/events/PVNE.html#top Plenary speakers: Eric Anchimbe, Bayreuth University Jakob Leimgruber, Regensburg University Anne Schröder, Bielefeld University Important dates: September 15, 2022 Call for Papers January 15, 2023 Abstract submission February 15, 2023 Notification of acceptance There is still little research on the pragmatics of the ‘New’ varieties of English, although first studies have shown their specific pragmatic properties (e.g. Anchimbe 2018, Leimgruber 2018, Schröder & Schneider 2018, Unuabonah & Gut 2018) and theoretical approaches have been developed to describe and explain pragmatic variation across varieties of English (e.g., Schneider & Barron 2008, Anchimbe 2018). The aim of the workshop is to bring together researchers in this field in order to stimulate theoretical development as well as further studies and future collaboration. Abstracts (500 words excluding references) are invited for 20-minute talks on any aspect of the pragmatics of the New Englishes. The submission deadline is January 15th, 2023. Please submit your abstract to PVNE2023(a)uni-muenster.de The workshop will take place in a hybrid format. Please indicate whether you would like to give an online presentation or join the workshop in person. (I am not associated with the workshop, just posting this on behalf of the organisers) -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs | https://sites.google.com/view/rflinguistics/ Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/

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[GERMAN] Research Associate (post-doc) positions at IDS Mannheim
by Roman Schneider 21 Sep '22

21 Sep '22

Am Leibniz-Institut für Deutsche Sprache (IDS) in Mannheim sind zum nächstmöglichen Zeitpunkt folgende Stellen zu besetzen: 2 Wissenschaftliche Mitarbeiter/innen (m/w/d) (PostDoc, 100%, Kennziffer 30/2022) Ihr Aufgabenbereich umfasst die Mitarbeit im BMBF-geförderten Projekt "LernGrammis" im Rahmen der Nationalen Bildungsplattform. Das Projekt implementiert ein thematisch und medial vielfältiges Lernangebot für Sprachwissen. Es führt in die Systematik der deutschen Grammatik ein und verfolgt hierfür einen adaptiv niederschwelligen Ansatz. Arbeitsschwerpunkte sind: - Konzeption modularer Lernbausteine und Lernpfade im grammatischen Informationssystem grammis (grammis.ids-mannheim.de) - Fach- und mediendidaktische Planung des Angebots Das bringen Sie mit: - Promotion in germanistischer Sprachwissenschaft (oder eines verwandten Faches) - fundierte Kenntnisse der Grammatik des Deutschen und/oder didaktische Kompetenzen - Teamfähigkeit, Kreativität, Freude am wissenschaftlichen Arbeiten Wir bieten Ihnen ein interessantes Arbeitsfeld in einem renommierten wissenschaftlichen Forschungsinstitut, in dem vielfältige Möglichkeiten zur Zusammenarbeit bestehen – projektintern, projektübergreifend und mit zahlreichen (internationalen) Kooperationspartnern. Das IDS bietet ein Forschungsumfeld mit hervorragender Expertise in der linguistischen Forschung und engen Verbindungen zu den Universitäten Mannheim und Heidelberg. Wir unterstützen unsere Mitarbeiter/-innen bei der Weiterqualifikation. Wir bieten flexible Arbeitszeitregelungen sowie die Möglichkeit, teilweise mobil zu arbeiten, eine attraktive Altersvorsorge, Kostenzuschuss zur Kinderbetreuung und eine leistungsgerechte Vergütung nach dem Tarifvertrag der Länder. Das IDS verfolgt das Ziel der beruflichen Gleichstellung von Frauen und Männern und ist bestrebt, den Anteil von Frauen in den Bereichen zu erhöhen, in denen sie unterrepräsentiert sind. Die Vereinbarkeit von Beruf und Familie wird vom IDS in besonderem Maße gefördert. Das IDS begrüßt Bewerbungen schwerbehinderter Personen. Die Arbeitsverhältnisse sind bis Herbst 2024 befristet. Die Vergütung erfolgt in Abhängigkeit von Ihrer Qualifikation und Ihren Erfahrungen bis zur Entgeltgruppe 13 TV-L. Ihre aussagekräftige schriftliche Bewerbung mit Lebenslauf und Zeugnissen in einem PDF-Dokument richten Sie bitte unter Angabe der o. a. Kennziffer per E-Mail an: Leibniz-Institut für Deutsche Sprache (IDS) Personalstelle E-Mail: bewerbungen(a)ids-mannheim.de Kompletter Ausschreibungstext: https://www.ids-mannheim.de/org/karriere/stellen/stelle4/ Für Auskünfte steht Herr PD Dr. Roman Schneider (schneider(a)ids-mannheim.de) gerne zur Verfügung. Wir freuen uns auf Ihre Bewerbung! -- PD Dr. habil. Roman Schneider Leibniz-Institut für Deutsche Sprache, R5 6-13, 68161 Mannheim Tel: +49(621) 1581-217 / Fax: +49(621) 1581-200 http://www.ids-mannheim.de/gra/personal/schneider.html

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Research Associate (post-doc) position at the University of Sheffield (deadline: October 8, 2022)
by Aline Villavicencio 21 Sep '22

21 Sep '22

---------- Postdoctoral researcher in Machine Learning applied to Natural Language Processing EPSRC Project: Modeling Idiomaticity in Human and Artificial Language Processing (MIA) Duration: Fixed-term with an end date of 30 November 2023. Full-time, although part-time would be considered (working commitment and pattern to be agreed) Application Deadline: October 08,2022 Application link: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo… <https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo…> The University of Sheffield (UK) The University of Sheffield invites applications for a postdoctoral researcher in Machine Learning applied to Natural Language Processing position, which is part of the EPSRC project on MIA: Modeling Idiomaticity in Human and Artificial Language Processing, a collaboration led by Prof. Aline Villavicencio, Dr. Carolina Scarton, and Prof. Anna Korhonen. We are looking to make an appointment as soon as possible after the deadline. The initial appointment will be until November 2023. The position is remunerated according to Grade 7.3 pay scale:£35,333 per annum. The responsibility of the postdoctoral researcher is to research strategies for more transparent machine learning models to generate accurate cross-lingual representations for idiomatic language, as well as to contribute to the design and development of resources and evaluation of downstream tasks, like machine translation. The researcher will also collaborate with the University of Cambridge (UK) and the Aix Marseille University (France), partners in this project. Furthermore, The ideal candidate will have: - A PhD in Machine Learning/Natural Language Processing or related field; - A strong publication record commensurate with career stage; - Expertise in machine learning (applied to NLP), with experience in the analysis and development of classical and deep learning models; - Experience in using libraries for NLP and deep learning, such as Tensorflow and Keras; - Experience in data annotation, data collection, and creating new benchmark datasets for evaluation; - A willingness to further improve methods skills and to transfer knowledge to doctoral researchers and student assistants. Expertise in at least one of the following areas is advantageous but not required: - Track record in ML/NLP methods for developing word representation models; - Knowledge of machine translation models. MIA project: MIA is part of the EPSRC call for Responsible NLP for Intelligent Interfaces. In MIA, we will develop idiomatically-aware word/phrase representation models with the ability to process idiomatic (non-literal) language, by incorporating clues that are linguistically-motivated and cognitively-inspired by human processing data. Equipping natural language processing (NLP) models with the ability to process idiomatic expressions is important for obtaining more accurate representations that can lead to gains in downstream tasks, such as machine translation (MT) and text simplification (TS). MIA targets a crucial limitation in standard NLP models, as idiomaticity is part of human communication, with potential benefits to applications that include natural language interfaces, like conversational agents, question answering and information retrieval systems. Host institution: The project is hosted by the Department of Computer Science at the University of Sheffield, a leading international center for research in the UK. We are ranked in the top five for research excellence as part of the 2014 Research Excellence Framework, with 92% of our research outputs being world-leading or internationally-excellent. Our research environment is the best in the country (as measured by the 4* and 3* REF environment score). The NLP and Speech and Hearing groups have over 60 academics, maintaining an active program of seminars, with exceptional facilities for research, and ample opportunities for collaboration. It is one of the largest and most successful NLP groups in Europe, with multiple worldwide collaborations. Sheffield is a vibrant city with a rich cultural life, with a large number of parks and the Peak District just nearby, perfect for outdoor activities and a high quality of life. Applications must be submitted using the University of Sheffield system. More information can be found here: https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo… <https://www.jobs.ac.uk/job/CTD489/research-associate-in-machine-learning-fo…> The University of Sheffield is an equal opportunity employer. Applicants from underrepresented minorities are highly encouraged to apply. Remote working arrangements will be discussed upon request. The Department of Computer Science holds a Silver Athena SWAN award, in recognition of our commitment to equality and diversity. Application Deadline: October 08, 2022 For informal enquiries about this job and the recruiting department, contact: Professor Aline Villavicencio on <>a.villavicencio(a)sheffield.ac.uk <mailto:a.villavicencio@sheffield.ac.uk>. For administration queries and details on the application process, contact the lead recruiter: Renata Goddard on <>com-researchrecruitment(a)sheffield.ac.uk <mailto:com-researchrecruitment@sheffield.ac.uk>. For all online application system queries and support, visit: www.sheffield.ac.uk/jobs/applying <http://www.sheffield.ac.uk/jobs/applying> ---------------------------------------------------- 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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Postdoctoral fellow in computational linguistics / cognitive science at the Department of Psychology, Stockholm University
by Thomas Hörberg 21 Sep '22

21 Sep '22

The Department of Psychology at Stockholm University invites applications for a postdoctoral fellow in computational linguistics / cognitive science. The position involves a full-time employment for a maximum of two years, starting on November 1 2022, or as per agreement. The applicant will work in a research project that investigates crosslinguistic differences and similarities of smell vocabularies. In the project, smell vocabularies of diverse languages are mapped partly with the help of data-driven machine learning methods based on natural texts (i.e. text corpora), and partly based on more traditional lexical-typological, linguistic methods based on native speaker elicitations. Main responsibilities - analysis of text corpora using NLP methods, word embedding modeling, machine learning and similar methods - quantitative data analysis and visualisation - writing of scientific articles - possibly also experimental data collection Required qualifications - PhD in linguistics, cognitive science or similar, completed no more than three years before the application closing date (with some exceptions). - high-level skills in Python programming - documented experience in working with text corpora and various NLP methods and word space modeling (such as Word2Vec, BERT, GPT2) - documented experience of independent scientific work resulting in one or several publications in scientific journals or conference proceedings Desired qualifications - documented experience of machine learning and other statistical methods such as regression analysis, PCA, hierarchical clustering, or neural networks - documented experience of text data processing and pre-processing, compilation of data from different sources, data visualisation - documented experience of experimental or survey data collection - good collaboration skills, be innovative, solution-oriented and able to work independently - basic knowledge of linguistics and cognitive psychology Applications should include - contact details and personal data - highest degree - cover letter - CV – degrees and other completed courses, work experience and a list of publications - research proposal (no more than 3 pages) describing why you are interested in the project, how you wish to contribute, and why you are suitable for the project - copy of PhD diploma - letters of recommendation (no more than 3 files) - publications in support of your application (no more than 3 files) - language skills - contact details for 2–3 references Application deadline: 07-Oct-2022 Web adress for application: https://www.su.se/english/about-the-university/work-at-su/available-jobs?rm… Contact information Dr. Thomas Hörberg thomas.hoerberg(a)psychology.su.se

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[corpora-list] gentle reminder about ConsiLR
by Victoria Bobicev 21 Sep '22

21 Sep '22

Dear friends and colleagues! *Due to technical problems our site has been down for almost a week.* *Now it is back on place.* *This is why we repeat our last Call for papers for ConsILR-2022 * We kindly invite you to submit a paper for the 17th edition of The *International Conference on Linguistic Resources and Tools * *for Natural Language Processing* – ConsILR-2022 together with the 2nd *DeLORo Workshop*, which will jointly take place from the 10th to the 12th of November 2022, in Chișinău, Republic of Moldova and online. The deadlines for paper’ submissions have been extended: - *September 30, 2022 – paper submission;* - *October 12, 2022 – authors’ notification;* - *October 20, 2022 – final form submission;* We invite papers presenting original and unpublished research in all areas related to Linguistic Resources and Tools for Natural Language Processing. We call for contributions that range from theoretical, empirical and applied linguistics to computational models, from development of resources to their dedicated use for the improvement of the natural language technology, research related to any language or no one in particular; case studies, demos and review papers are also most welcome. We encourage research evidencing specific interest on the Romanian spoken or written language per se or in contrast with other languages or within its idioms, describing morphological, syntactic and semantic structures, pragmatic usage, multi-word expressions, culture-bound or nature-related, the formation of the modern Romanian language, etc. Submitted papers can include descriptions of accomplished or in progress work. The joint DeLORo <http://deloro.iit.academiaromana-is.ro/> event is rooted in a nationally funded project aiming to build a technology capable of automatically transcribing Romanian documents written in Cyrillic into their Latin equivalents, in order to be placed at the base of future linguistic and semantic studies of the Romanian language. The 2nd DeLORo workshop will take place in the 3rd day of the ConsILR conference. Participants not involved in the project are also welcome. Authors are encouraged to also submit, additional to the papers *per se*, open-source linguistic resources, such as corpora (or corpus examples), demo code, videos and sound files. Further information can be found on the conference web site https://profs.info.uaic.ro/~consilr/2022/ On behalf of the conference organizers, Victoria Bobicev, Technical University of Moldova. *The ConsILR-2022 Conference is dedicated to* *the Ukrainian scientists! * *Their participation is tax free. *

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North African in ML affinity group workshop at NeurIPS 2022 (Deadline extended)
by Nedjma OUSIDHOUM 21 Sep '22

21 Sep '22

Dear colleagues, We are pleased to invite you to the North Africans in ML affinity group workshop <https://sites.google.com/view/northafricansinml/cfp>, which will take place at NeurIPS 2022. The workshop will include talks, poster sessions, as well as a shared task relating to ML in North Africa. We will have both archival and non-archival tracks and invited talks. Junior researchers and students interested in NLP from North African institutions and beyond (academia and industry) are welcome to present their new work as well as completed or ongoing research projects or ideas. All nationalities are welcome! Authors of non-archival papers can choose to have their abstracts, bios, and posters posted on our website. NeurIPS D&I will provide some travel grants and registration fee waivers to the participants. Please note that all participants are encouraged to apply for NeurIPS registration fee waivers. We welcome submissions related to any topic of Machine Learning and NLP. You can visit our website: https://sites.google.com/view/northafricansinml/. *Important dates* Oct 14th: Extended abstract (2 pages), short (4 pages) and long (8 pages) paper submission deadline Nov 1st: Notification of acceptance Nov 15th: Camera ready submission deadline Nov 15th: Poster submission deadline Dec 5th: Virtual Workshop Shared Task tentative schedule Aug 15th: Registration opens (https://forms.gle/zdZgkNZovFwm9BEX7) Sept 25th: Releasing the training data Oct 10th: Releasing the dev data Nov 8th: Releasing the test data Nov 10th: System submission deadline Nov 15th: System description paper deadline Nov 15th: Poster submission deadline Dec 5th: Virtual Workshop Best regards, The organisers.

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Faculty recruiting at several universities in Australia
by Jonathan K Kummerfeld 21 Sep '22

21 Sep '22

Several top Australian universities are recruiting new faculty. All are tenure-track research positions, though the position titles in Australia are slightly different: University of Sydney - https://usyd.wd3.myworkdayjobs.com/USYD_EXTERNAL_CAREER_SITE/job/Camperdown… University of Melbourne - https://jobs.unimelb.edu.au/caw/en/job/909798/lecturer-senior-lecturer-in-m… - https://jobs.unimelb.edu.au/caw/en/job/909837/senior-lecturer-associate-pro… Australian National University - https://jobs.anu.edu.au/en/job/540228 All three are excellent institutions. If you have questions about Sydney (where I just started), please reach out! Jonathan Kummerfeld -- Senior Lecturer (ie. research tenure-track Asst. Prof.) University of Sydney e: j.k.kummerfeld(a)gmail.com w: www.jkk.name

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PhD Position in Document-Level Machine Translation Evaluation (Dublin City University)
by Sheila Castilho M de Sousa 20 Sep '22

20 Sep '22

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

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Full Professor position in Fundamentals of Natural Language Processing at University of Bamberg, Deadline 19 October
by Stefan Ultes 20 Sep '22

20 Sep '22

We would like to draw your attention to the open call for a full-time academic position as Full Professor (m/f/d) of Fundamentals of Natural Language Processing (W3 salary level) at the University of Bamberg, Germany. Application deadline is 19 October 2022. For more details and how to apply, please refer to https://www.uni-bamberg.de/en/abt-personal/stellenausschreibung/professorsh… or directly to https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St… Queries regarding the position as such can be addressed to Prof. Dr. Andreas Henrich (andreas.henrich(a)uni-bamberg.de). -- Prof. Dr.-Ing. Stefan Ultes Chair of Language Generation and Dialogue Systems University of Bamberg Bamberg, Germany stefan.ultes(a)uni-bamberg.de

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Research Associate – Natural Language Processing @ UCREL, Lancaster
by Rayson, Paul 20 Sep '22

20 Sep '22

Research Associate – Natural Language Processing School of Computing and Communications Salary: Grade 6 £29,619 to £34,308 Closing Date: 30 September 2022 Interview Date: 17 October 2022 Reference: 0965-22 https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0965-22 The School of Computing and Communications (SCC) within Lancaster University’s Faculty of Science and Technology, is seeking to appoint a Research Associate (RA) to work on a new large five year long (nine million euros in total across sixteen partners) EU Horizon Project: Design-based Data-driven Decision-support Tools: Producing Improved Cancer Outcomes Through User-centered Research (4D PICTURE Project). Treatment decision-making by patients with cancer, their significant others, and clinicians can be complex, in particular when a choice has to be made between different treatment regimens with different risk profiles, potential outcomes, and effects on survival and quality of life. Decision making is often complicated through inefficient care paths, including logistic problems and lack of overview of the entire treatment trajectory including unclear responsibilities and inconsistency in information provision to patients. Recent research highlights that such inefficient care paths hinder patients with cancer and their significant others in treatment decision-making, leading to high levels of stress, fear, disempowerment, and unwanted dependence on healthcare professionals. Decision-support tools, which are computer-based tools developed to support decision analysis and participatory processes, have the potential to lead to improved access to innovative, high-quality, oncological care, enhanced patient empowerment, better treatment adherence, better health outcomes, and more health equity. The central aim of the 4D PICTURE project is to transform health care delivery decision-making processes in oncology by redesigning patients’ care paths and integrating evidence-based decision-support tools. The care paths will be redesigned to enable effective integration of these tools to facilitate the complexities of decision making with and for cancer patients. To achieve this aim, we will further develop a promising service design methodology to redesign care paths, called MetroMapping. Lancaster University will be leading on a work package to develop a conversation tool (based on our prior work on the metaphor menu, and the Metaphor in End of Life Care (MELC) project) for cancer patients, their significant others, their clinicians and citizens based on text mining analyses of patient experience ‘big’ data and citizen science methods. To that end, we will apply an interdisciplinary approach that combines the strengths of AI-tools (text mining / natural language processing (NLP) techniques), corpus linguistics, and qualitative (narrative) research to efficiently convert the stories of experience of people with cancer and their significant others into usable knowledge about how they experience their care trajectory. Our methodology embeds citizen science, or patient and public involvement (PPI), at its core. Working together with multiple project partners, the SCC RA will contribute to multilingual (English, Dutch, Danish and Spanish) data collection from multiple sources, exploratory data analysis using a variety of corpus-based NLP techniques, mapping patient vocabulary to clinical language, and machine learning tasks to train classifiers on human-labelled data. The RA will be part of an internationally recognised centre of expertise for corpus-based natural language processing (UCREL), and will work directly with Professor Paul Rayson in SCC, Professor Elena Semino (Linguistics) and Professor Sheila Payne (Health and Medicine). For more details, please see the associated job description and person specification for this position. Potential candidates can also make informal enquiries to Professor Paul Rayson (p.rayson(a)lancaster.ac.uk). This is a full-time position expected to start as soon as possible from October 2022, and the RA will join on an indefinite contract, however the role remains contingent on external funding, which for this position ends 30th September 2027. Flexible working arrangements may be possible, and there are possibilities to undertake a PhD on related topics during the project. Lancaster University are committed to family-friendly and flexible working policies on an individual basis. The School is also an Athena Swan Bronze Award holder, driving good employment practice and initiatives to address gender inequalities in Computing higher education and research. We welcome applications from people in all diversity groups. -- Paul Rayson Director of UCREL and Professor of Natural Language Processing Group Lead (SCC Data Science) School of Computing and Communications, InfoLab21, Lancaster University, Lancaster, LA1 4WA, UK. Web: http://www.research.lancs.ac.uk/portal/en/people/Paul-Rayson/ Tel: +44 1524 510357 Contact me on Teams<https://teams.microsoft.com/l/chat/0/0?users=p.rayson@lancaster.ac.uk>

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3-year postdoc position in Large-Scale Natural Language Processing at the University of Oslo, Norway
by Andrey Kutuzov 20 Sep '22

20 Sep '22

[with apologies for cross-posting] The Language Technology Group (LTG) at the University of Oslo offers a fully funded postdoctoral fellowship for a duration of 3 years. This position is a part of a new EU Horizon project titled “High-Performance Language Technologies” (HPLT). HPLT is a collaboration between 5 universities (Oslo, Edinburgh, Helsinki, Prague and Turku), 2 high-performance computing centers (Uninett Sigma2 in Norway and Cesnet in the Czech Republic), and one Spanish company (Prompsit) on the development of language and translation models at scale. The project aims at continuous integration of pre-trained language models and data, resulting in free downloadable high-quality models for all official European Union languages and beyond. With a strong focus on multi-linguality, reproducibility, openness and scale, HPLT will allow easy discovery and access to corpora, models and code. We are looking for a postdoctoral fellow interested in processing and maintaining very large troves of natural language data (in particular, significant parts of the Internet Archive). These corpora and datasets will be used for training, updating, evaluating and publicly serving state-of-the-art language models for European languages (both monolingual and multilingual). This includes developing and refining automated replicable software installations across high-performance computing (HPC) systems, notably the new LUMI European pre-exascale supercomputer. The successful candidate will join the HPLT project team and enjoy an active role in the consortium. Applicants must hold a degree equivalent to a Norwegian doctoral degree in Natural Language Processing, Computational Linguistics, or Computer Science with a suitable specialization. Candidates whose doctoral thesis has been submitted for evaluation by the closing date are encouraged to apply. Only applicants with an approved doctoral thesis and public defense prior to the start date will be eligible for appointment. The application deadline is September 23, 2022. Starting date subject to discussion, but no later than February 1, 2023. For more information, please see the full announcement and application form here: https://www.jobbnorge.no/en/available-jobs/job/231118/postdoctoral-research… Please do not hesitate to contact us for any further information: - postdoctoral fellow Andrey Kutuzov: andreku(a)ifi.uio.no - professor Stephan Oepen: oe(a)ifi.uio.no -- Andrey Postdoctoral Fellow Language Technology Group (LTG) University of Oslo

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Call for papers ConsiLR
by Victoria Bobicev 20 Sep '22

20 Sep '22

Dear friends and colleagues! *Due to technical problems our site has been down for almost a week.* *Now it is back on place.* *This is why we repeat our last Call for papers for ConsILR-2022 * We kindly invite you to submit a paper for the 17th edition of The *International Conference on Linguistic Resources and Tools * *for Natural Language Processing* – ConsILR-2022 together with the 2nd *DeLORo Workshop*, which will jointly take place from the 10th to the 12th of November 2022, in Chișinău, Republic of Moldova and online. The deadlines for paper’ submissions have been extended: - *September 23, 2022 – abstracts submission (max 300 words);* - *September 30, 2022 – paper submission;* - *October 12, 2022 – authors’ notification;* - *October 20, 2022 – final form submission;* We invite papers presenting original and unpublished research in all areas related to Linguistic Resources and Tools for Natural Language Processing. We call for contributions that range from theoretical, empirical and applied linguistics to computational models, from development of resources to their dedicated use for the improvement of the natural language technology, research related to any language or no one in particular; case studies, demos and review papers are also most welcome. We encourage research evidencing specific interest on the Romanian spoken or written language per se or in contrast with other languages or within its idioms, describing morphological, syntactic and semantic structures, pragmatic usage, multi-word expressions, culture-bound or nature-related, the formation of the modern Romanian language, etc. Submitted papers can include descriptions of accomplished or in progress work. The joint DeLORo <http://deloro.iit.academiaromana-is.ro/> event is rooted in a nationally funded project aiming to build a technology capable of automatically transcribing Romanian documents written in Cyrillic into their Latin equivalents, in order to be placed at the base of future linguistic and semantic studies of the Romanian language. The 2nd DeLORo workshop will take place in the 3rd day of the ConsILR conference. Participants not involved in the project are also welcome. Authors are encouraged to also submit, additional to the papers *per se*, open-source linguistic resources, such as corpora (or corpus examples), demo code, videos and sound files. Further information can be found on the conference web site https://profs.info.uaic.ro/~consilr/2022/ On behalf of the conference organizers, Victoria Bobicev, Technical University of Moldova. *The ConsILR-2022 Conference is dedicated to* *the Ukrainian scientists! * *Their participation is tax free. *

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Special issue DSTC9&10 on IEEE-ACM TASLP (Due Oct 15, 202)
by Luis Fernando D'Haro 20 Sep '22

20 Sep '22

=========================================================================================== IEEE/ACM TASLP Joint Special Issue on the Ninth and Tenth Dialog System Technology Challenge Call for Participation Websites: https://signalprocessingsociety.org/blog/ieee-acmtaslp-special-issue-ninth-… https://dstc10.dstc.community/call-for-talsp-papers =========================================================================================== The Dialog System Technology Challenge (DSTC) is an ongoing series of research competitions for dialog systems. To accelerate the development of new dialog technologies, the DSTCs have provided common testbeds for various research problems. The Ninth and Tenth Dialog System Technology Challenge (DSTC9&10) consist of the following nine main tracks. DSTC9: -Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access -Multi-domain Task-oriented Dialog Challenge II -Interactive Evaluation of Dialog -SIMMC: Situated Interactive Multi-Modal Conversational AI DSTC10: -MOD: Internet Meme Incorporated Open-domain Dialog -Knowledge-grounded Task-oriented Dialogue Modeling on Spoken Conversations -SIMMC 2.0: Situated Interactive Multimodal Conversational AI -Reasoning for Audio Visual Scene-Aware Dialog -Automatic Evaluation and Moderation of Open-domain Dialogue Systems This special issue will host work on any of the DSTC9&10 tasks. Papers may describe entries in the official DSTC9&10 challenge, or any research utilizing their datasets irrespective of the participation in the official challenge. We also welcome papers that analyze the DSTC9&10 tasks or results themselves. Finally, we also invite papers on previous DSTC tasks as well as general technical papers on any dialog-related research problems. Submission requirements ----------------------- You can get the author guide from the following link: https://signalprocessingsociety.org/publications-resources/information-auth… <https://www.google.com/url?q=https%3A%2F%2Fsignalprocessingsociety.org%2Fpu…> Submission site ----------------------- Submit your paper at mc.manuscriptcentral.com/tasl-ieee Important Dates ----------------------- -Manuscript submission date: October 15, 2022 -First Review Completed: December 15, 2022 -Revised Manuscript Due: January 15, 2023 -Second Review Completed: March 15, 2023 -Final Manuscript Due: April 30, 2023 -Expected publication date: July 2023 CONTACT ------- For any query regarding this special issue please contact steering(a)dstc.community Guest Editors Koichiro Yoshino, RIKEN, Japan Chulaka Gunasekara, IBM Research AI, USA

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CFP ACM TALLIP Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages
by Bharathi Raja Asoka Chakravarthi 20 Sep '22

20 Sep '22

*Apologies for cross-posting* *Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages * Link: https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang… * Aims, Scope and Objective of Special Issue: * Our everyday lives have become more reliant on online platforms. Social media (Facebook, Twitter, Instagram), discussion websites (Reddit), messaging services (WhatsApp, Snapchat), blogs, forums, and online chats have all been used to spread ideas and data. Without a doubt, social media platforms like Facebook, Twitter, and Instagram benefit society by enabling individuals to express themselves and seek support from others in the online community. Additionally, these platforms have an unmistakable wrong side: cyberbullying, cyberstalking, cyberterrorism, e-bile, fake news, flaming, hate speech, impersonation, pornography, glorification of dangerous behavior (e.g., eating disorders), and trolling. Various news sites in recent years have recorded numerous incidences of suicide, grief, and fear. Additionally, although individuals from many linguistic origins are exposed to online social media, English remains at the forefront of continuing advances in language technology research. Recently, several study investigations on highly resourced languages, such as Arabic, German, Hindi, and Italian, have been done. However, more research on making social media platforms safer in low-resource Eurasian languages is still needed. This special issue aims to gather original research articles that add to the body of knowledge about the use of intelligent natural language systems to build a safer social media environment in low-resource Eurasian languages. Topics Among the special issue's topics of interest are the following: - • Early detection of radicalization in low-resource Eurasian languages • Mechanisms for recognizing and preventing cyber predators in low-resource Eurasian languages • Identifying and resolving hate speech (abusive language, cyberbullying, etc.) in low-resource Eurasian languages • Simulated propagation and transmission of potentially harmful information via social media in low-resource Eurasian languages • Data collection and annotation methodologies for to safer social media in low resourced Eurasian languages • Content moderation strategies in low-resource Eurasian languages • Cybersecurity and social media in low-resource Eurasian languages • Fake news detection in low-resource Eurasian languages * Important Dates • Submissions deadline: 10 February 2023 * with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en <https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Pred…>

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Job: Research Associate – Natural Language Processing @ UCREL, Lancaster University
by Mahmoud El-Haj 20 Sep '22

20 Sep '22

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Staff Scientist position at NLM
by ddemner＠gmail.com 19 Sep '22

19 Sep '22

*STAFF SCIENTIST 1 IN BIOMEDICAL NATURAL LANGUAGE PROCESSING* NATIONAL LIBRARY OF MEDICINE, BETHESDA, MARYLAND *POSITION INFORMATION: * The National Library of Medicine (NLM), Lister Hill National Center for Biomedical Communication (LHNCBC) is recruiting for a Staff Scientist 1. The position is in the Computational Health Research Branch (CHRB), which is a part of the Intramural Research Program (IRP). NLM is one of 27 Institutes at the National Institutes of Health (NIH), part of the Department of Health and Human Services (DHHS). NLM IRP is looking for an outstanding candidate with extensive experience in biomedical natural language processing (NLP) with commitment to the biomedical informatics research in areas of fostering and applying discoveries. The responsibilities of this position will include the following activities: · conducting research in the general area of linking electronic medical data (focusing on NLP of narrative documentation) with biological/genomic data; · advancing text mining research, semantic parsing, and machine learning methods; · developing NLP methods for precision medicine; · providing consultation related to informatics applications for clinical decision support; · establishing collaborations with external entities and institutions; and, · working with and mentoring students and post-doctoral fellows. *POSITION REQUIRMENTS: * The ideal candidate may or may not be a United States citizen and must have a doctoral degree. We are looking for an individual with: · a Ph.D. or equivalent in computer science, related disciplines biomedical, or clinical informatics; · experience and a track record in natural language processing research applied to biomedicine documented by peer-reviewed publications; · demonstrated ability to work closely and productively with other research teams; and, · demonstrated ability to initiate and successfully conduct research. *FOREIGN EDUCATION:* Applicants who have completed part or all their education outside of the U.S. must have their foreign education evaluated by an accredited organization to ensure that the foreign education is equivalent to education received in accredited educational institutions in the United States. We will only accept the completed foreign education evaluation. For more information on foreign education verification, visit the National Association of Credential Evaluation Services (NACES) website <https://www.naces.org/>. Verification must be received prior to the effective date of the appointment. Employees, contractors, trainees, and volunteers providing healthcare or services in support of healthcare (Healthcare Workforce) may be required to receive a COVID-19 vaccine because they are expected to perform duties that put them in contact or potential contact with patients. We may request COVID-19 vaccination, and other vaccination documentation from Healthcare Workforce personnel at any point during the onboarding process or at any time during your employment with NIH. For more information on this requirement, visit the Safer Federal Workforce <https://www.saferfederalworkforce.gov/faq/vaccinations/> page on vaccines. If you need a COVID-19 vaccine, please visit Vaccines.gov <https://www.vaccines.gov/>. *SALARY/BENEFITS:* This non-competitive appointment in the excepted service is like a federal full-time position. Salary will be commensurate with experience and qualifications. A full package of benefits <https://www.opm.gov/healthcare-insurance/healthcare/enrollment/new-federal-…> is available. *HOW TO APPLY: * Interested individuals should send a copy of their CV with the names of three references along with a cover letter detailing research interests and evidence of engagement in multi-disciplinary collaborative research to maria.lugo(a)nih.gov. Please include the announcement number, NLM2452-2022, in the cover letter. Do not include your birth date, social security number (SSN), or personal photograph on application materials. Review of applications will begin on September 29, 2022. Applications will be accepted until the position is filled. *COMMITMENT TO DIVERSITY AND EQUAL EMPLOYMENT OPPORTUNITY:* NIH/NLM encourages the application and nomination of qualified women, minorities, and individuals with disabilities. The U.S. government does not discriminate in employment based on race, color, religion, sex (including sexual orientation, pregnancy, and gender identity), national origin, political affiliation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factors. NIH/NLM will provide reasonable accommodations to applicants with disabilities as appropriate. If you require reasonable accommodation during any part of the application and hiring process, please notify us. *DHHS, NIH, and NLM are equal opportunity employers*

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Save the date: eLex 2023, 27–29 June 2023
by Ondřej Matuška 19 Sep '22

19 Sep '22

The eighth biennial conference *eLex 2023* electronic lexicography in the 21st century will be held in Brno, Czech Republic, 27–29 June 2023. The topic of this conference is: Invisible lexicography. Save the date and follow the conference on the website, Twitter and Facebook to get updates. More information will be provided in the next couple of days. https://elex.link/elex2023 https://twitter.com/elex_conference www.facebook.com/elexconference We are looking forward to meeting you in Brno. Ondřej Matuška (on behalf of the eLex 2023 organising committee)

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Failed to post position
by Nikolay Babakov 19 Sep '22

19 Sep '22

Hello! I have tried to post the Ph.D. position "PhD position in NL4XAI project (Universitat Autònoma de Barcelona-UAB, Spain)" but failed twice. I get the notification, that the message has been successfully sent, but nothing happens afterward. What should I do? Best regards, Nikolay Babakov

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PhD position in NL4XAI project (Universitat Autònoma de Barcelona-UAB, Spain)
by bbkhse＠gmail.com 19 Sep '22

19 Sep '22

A PhD position is offered within the framework of NL4XAI: Interactive Natural Language Technology for Explainable Artificial Intelligence, a project funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 860621. PhD research topic: Argumentation-based Multi-agent Recommender System Host institution: Agencia Estatal del Consejo Superior de Investigaciones Científicas- CSIC (Spain), Barcelona-Spain. Required Degree: Degree in Computer Science (or similar), Master degree in Artificial Intelligence, Computer Science or equivalent providing access to a PhD program. 📆 Deadline for application: October 5, 2022 at 23h59 CET (UCT + 01:00) All details are available at: https://nl4xai.eu/open_position/esr72022-argumentation-based-multi-agent-re… NL4XAI is a European Training Network (ETN) project, which will train 11 creative, entrepreneurial and innovative early-stage researchers (ESRs), who will face the challenge of making Artificial Intelligence (AI) self-explanatory and thus contribute to translating knowledge into products and services for economic and social benefit, with the support of Explainable AI (XAI) systems. The focus of NL4XAI is in the automatic generation of interactive explanations in natural language, just as humans naturally do, and as a complement to visualization tools. As a result, ESRs are expected to leverage the usage of AI models and techniques even by non-expert users. The NL4XAI consortium is made up of 19 partners and beneficiaries from 6 different European countries (France, Malta, Poland, Spain, The Netherlands and the United Kingdom). The consortium is coordinated by the Research Centre in Intelligent Technologies of the Univ. of Santiago de Compostela (CiTIUS-USC) and the partners correspond to 2 national R&D centres (IIIA-CSIC and CNRS-LORIA), 11 universities (Univ. Aberdeen, TU Delft, Univ. Malta, Utrecht Univ., Univ. Twente, Univ. Lorraine, Univ. Dundee, Univ. Autònoma de Barcelona, Univ. Santiago de Compostela, Warsaw Univ. of Technology and Maastricht University) and 6 private companies (Indra, Accenture, Orange, Wizenoze, Arria and Info Support). Each ESR will work in an individual research project in a different host institution and will participate in academic and inter-sectoral secondments at the premises of other NL4XAI’s members. We look for outstanding, motivated and team-spirited candidates to carry out a PhD within the NL4XAI ETN and who will get unique international and inter-sectoral training from prominent European researchers (from both academy and industry). Young researchers willing to work on Explainable AI are encouraged to apply. ralucasilvana.tomoni(a)usc.es

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Job: Research Associate – Natural Language Processing @ UCREL, Lancaster University
by Mo El-Haj 19 Sep '22

19 Sep '22

[in plain text] School of Computing and Communications, Lancaster University Salary: £29,619 to £34,308 Closing Date: Friday 30 September 2022 Interview Date: Wednesday 19 October 2022 Reference: 0978-22 Post URL: https://hr-jobs.lancs.ac.uk/Vacancy.aspx?ref=0978-22 Research Associate – Natural Language Processing Salary: Grade 6 £29,619 to £34,308 The School of Computing and Communications (SCC) within Lancaster University’s Faculty of Science and Technology, is seeking to appoint a Research Associate (RA) to work on research project on Natural Language Processing (NLP) for Canadian Annual Report Extraction (CARE) project. CARE is funded by the Canadian Mitacs (https://www.mitacs.ca/) and HEC Montreal (https://www.hec.ca/en/). Working together with project partners at HEC Montreal (led by Dr Kim Trottier), and Representatives from Chartered Professional Accountants (CPA) of Canada, the RA will develop novel NLP Python tool with techniques to automatically detect structure and extract from PDF annual reports, assess readability and sentiment. The post is based in Lancaster, UK. With CARE, users can upload the PDF of an annual report, run the program, and receive an output consisting of a set of disaggregated text files, one for each section of the annual report. These text files can be useful to investors, regulators, and researchers for performing text analysis. For example, an investor may want to examine a specific section that is relevant to their analysis, such as the chairman’s message or the auditor’s report. A regulator may be interested in assessing climate risk disclosure from the MD&A of all Oil and Gas companies. A researcher exploring goodwill impairment could extract and analyse only the notes on impairments for the firms in their sample. The gains from using CARE are not only in terms of transforming PDF files to text format, but also through an ability to process a large sample of annual reports all at once. While users of CARE can develop and apply their own Natural Language Processing (NLP) algorithms to the disaggregated text files, CARE provides some of the more common metrics for quick analysis. The following information is produced for each text file: readability scores, tone measures, causal language metrics, and word-frequency counts, where the latter (frequency counts) can be tailored to include key words that are relevant to the user. In addition to being efficient, capital markets should strive to provide a level playing field. Institutional investors are able to create their proprietary, in-house programs that extract and analyse the narrative portion of annual reports. CARE brings this functionality to the rest of market participants, through a simple, open-source tool. By supporting the development of CARE, Canadian regulators are positioning themselves to be early-movers in making annual report narratives accessible to a growing set of digital users among their constituents. The RA will be part of an internationally recognised centre of expertise for corpus-based natural language processing (UCREL), and will work directly with Dr Mo El-Haj in SCC at Lancaster University and Dr Kim Trottier in the department of Accounting at HEC Montreal. For more details, please see the associated job description and person specification for this position. Potential candidates can also make informal enquiries to Dr Mo El-Haj (m.el-haj(a)lancaster.ac.uk) and Dr Kim Trottier (kim.trottier(a)hec.ca). This is a 50% part-time position expected to start in November 2022, and the RA will join on an indefinite contract, however the role remains contingent on external funding, which for this position which for this position ends 30th October 2023. Lancaster University are committed to family-friendly and flexible working policies on an individual basis. The School is also an Athena Swan Bronze Award holder, driving good employment practice and initiatives to address gender inequalities in Computing higher education and research. We welcome applications from people in all diversity groups. Best wishes, Mo ————————————————————- Dr Mo El-Haj NLP Lecturer, School of Computing and Communications, Lancaster University, UK https://www.lancaster.ac.uk/staff/elhaj @DocElhaj

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Open position for the analysis of Church Slavonic texts
by Lendvai, Piroska 18 Sep '22

18 Sep '22

The Bavarian Academy of Sciences and Humanities is offering for the externally funded project "QuantiSlav" as of October 1, 2022 a Post-Doc or Master’s level position (m/f/d) E 13 TV-L | part-time (75 %) Provided that the corresponding third-party funds are made available, the employment can take place maximally until the end of the project (September 30, 2025), if the corresponding conditions are met. Place of employment is Munich. The BAdW conducts innovative long-term research in the Humanities and Natural Sciences. It networks scholars internationally and interdisciplinarily, impacts politics and society with its expertise, promotes young scientists and informs the public about current scientific findings. Duties of this position include: - Creating learning materials via digital means and quantitative methods for the analysis of Church Slavonic texts, e.g., in Jupyter notebook format. - Teaching language technology for text-based historical research and data skills at (online) block seminars - Applying language technology methods for the analysis of Slavic medieval writing, e.g. for dating and localization of texts from digital collections of different periods and regions of the 'Slavia Orthodoxa’ - Publishing and presenting scientific papers. Your profile: - Completed university studies in computational linguistics or natural language processing or another relevant technical area or have equivalent expertise, - PhD desirable - Experience in teaching and historical text processing desirable - Knowledge of at least one Slavic language, as well as German or English - Team player - Willing to make regular regular business trips. What we offer: - Diverse fields of development and challenging tasks with a high degree of personal responsibility and creative freedom - Professional development through regular and wide-ranging training opportunities - Attractive work-life balance thanks to flexible working hours and the opportunity to work on a mobile basis - Attractive social benefits: e.g. a company pension scheme, discounted tickets for local public transport and capital-forming benefits. The BAdW is a member of the Diversity Charter and is committed to the diversity of its employees. We support the compatibility of work, family and care. Equal opportunities are of particular importance to the Academy. People with disabilities are given preference in employment if they have equivalent qualifications. The Academy is characterized by the diversity of its employees and welcomes applications from all qualified candidates, regardless of age, gender, sexual orientation, religion, ideology or ethnic origin. By submitting your online application, you confirm that you have read the information sheet on data protection and consent to the collection of personal data as part of your application to the Bavarian Academy of Sciences and Humanities. We look forward to receiving your application, sent as a single PDF file (max. 5 MB) to bewerbungen(a)badw.de. If you have questions about the application process, please contact Ms. Balk/Mrs. Wagner (089/23031-1137 or -1327). Your questions regarding the content of the position will be answered by Dr. Piroska Lendvai (piroska.lendvai(a)badw-muenchen.de).

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Argument Mining workshop (17 October, hybrid, COLING) - scholarships for online participation
by Gabriella Lapesa 17 Sep '22

17 Sep '22

Dear all, The Argument Mining workshop will take place in a hybrid format on October 17, co-located with COLING: https://argmining-org.github.io/2022/ <https://argmining-org.github.io/2022/> We are very happy to announce that we will award scholarships (100 USD, covering early bird deadline for online participation) to selected workshop attendees who have no/limited funding). We ask you to help us reach as many potential applicants as possible (also master students, who have no access to funding but for whom attending such a workshop could be of great inspiration). The link to apply (with more details) is https://docs.google.com/forms/d/1L7WjDSMCGZ8jLX4jvqMWcbJjQ_eTPtEP4Pm8fQHAKsc . <https://docs.google.com/forms/d/1L7WjDSMCGZ8jLX4jvqMWcbJjQ_eTPtEP4Pm8fQHAKsc> Important detail: application deadline is September 22 and the notification date is September 23 (we are aware this is tight but we could settle the budget only now, and early bird deadline is coming up soon, September 25). Thanks for your help disseminating this! Best, Gabriella, Jodi, Yohan, and Sougata (Apologies for cross-posting)

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Postdoctoral Researcher in Natural Language Processing and statistical learning for Health
by Mathieu Constant 17 Sep '22

17 Sep '22

Postdoctoral Researcher in Natural Language Processing and statistical learning for Health The Université de Lorraine (France) invites applications for a postdoctoral Researcher in Natural Language Processing and statistical learning for Health. The position is attached to a new scientific project involving three research units specialized in natural language processing (Research Center for Computer Processing and Analysis of the French Language - ATILF), applied mathematics (Mathematics Research Institute - IECL) and cancer (Research Center for Automatic Control - CRAN). The main objective is to propose new methodologies and an innovative framework for the development of personalized medicine of low-grade brain tumors based on the latest advances in natural language processing and statistical learning. The research will investigate methods to automatically retrieve relevant information based on medical data about patients as well as scientific data publications. The precise research subject within this framework is open to discussion. Terms and tenure This two-year position will be based at the ATILF, Research Center for Computer Processing and Analysis of the French Language (Nancy, France). The duration can not exceed 24 months. The ATILF (https://www.atilf.fr/laboratoire/presentation-english/ <https://www.atilf.fr/laboratoire/presentation-english/>) is a research unit in (computational) linguistics, including expertise in natural language processing and terminology. Within the framework of multidisciplinary activities, the recruited researcher will be required to interact frequently with two other partner research centers of the project, the IECL and the CRAN, also located in Nancy, as well as to the neuro-oncology department of the regional hospital (CHRU) of Nancy. The target start date for the position is flexible and depends on the availability of the candidate, in the limit of the beginning of 2023 (to be discussed). Salary depends on experience. How to apply Applicants are requested to submit the following materials: A cover letter applying for the position Full CV and list of publications Academic transcripts (unofficial versions are fine) Applications will be considered as they arise. PhD students planning to defend before the end of 2022 are very welcome. Applications are only accepted through email. All documents must be sent to Mathieu Constant (Mathieu.Constant(a)univ-lorraine.fr <mailto:Mathieu.Constant@univ-lorraine.fr>), Marianne Clausel (marianne.clausel(a)univ-lorraine.fr <mailto:marianne.clausel@univ-lorraine.fr>) and Hélène Dumond (helene.dumond(a)univ-lorraine.fr <mailto:helene.dumond@univ-lorraine.fr>). Job location Nancy, France Requirements PhD in natural language processing, computer science, machine learning or applied mathematics (PhD from the Université de Lorraine are excluded). Skills Expert knowledge of Natural language processing Good knowledge of statistical learning Good programming skills Experience in the interaction with biologists and clinicians Working in a multidisciplinary team

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Call for Participation: AfriSenti-SemEval Shared Task 12
by Nedjma OUSIDHOUM 16 Sep '22

16 Sep '22

Dear Colleagues, Apologies for cross-posting. We are glad to announce the first SemEval shared task targeting African low-resource languages, AfriSenti-SemEval, Task 12. The AfriSenti-SemEval Shared Task 12 is based on a collection of humanly annotated Twitter datasets in 16 African languages (all low resource) for sentiment classification. This year, we have three sub-tasks, from which the participants can choose one or more tasks depending on their preference. Task A: Monolingual Sentiment Classification Given training data in a target language, determine the polarity of a tweet in the target language (positive, negative, or neutral). If a tweet For messages conveying both a positive and negative sentiment, whichever is the stronger sentiment should be chosen. This sub-task covers 13 languages namely, Hausa, Yoruba, Igbo, Nigerian_Pidgin, Amharic, Algerian Arabic, Kinyarwanda, Twi, Mozambican Portuguese, Swahili, Setswana, isiZulu, Moroccan Arabic/Darija. Task B: Multilingual Sentiment Classification Given combined training data from 13 African languages, determine the polarity of a tweet in the target language (positive, negative, or neutral). Task C: Zero-Shot Sentiment Classification Given unlabeled tweets in three African languages (Oromo, Tigrinya, and Xithonga), leverage any or all of the available training datasets in Subtasks A and B to determine the sentiment of a tweet in the two target languages is positive, negative, or neutral. Helpful Links: - Competition: https://codalab.lisn.upsaclay.fr/competitions/7320 - AfriSenti: https://afrisenti-semeval.github.io/ - Twitter: https://twitter.com/AfriSenti2023 <https://twitter.com/AfriSenti2023> Prize: The afriSenti-SemEval competition has a prize and will be awarded to the best performing team in each of the three sub-tasks. - African League: To encourage African participation, this league is for teams with at least one African. - Master's and Undergraduate League: This league is dedicated to master and undergraduate students only. - Worldwide League: Be a participant from any country. Important Dates: - Training data ready - 11 September 2022 - Evaluation Starts - 10 January 2023 - Evaluation End - 31 January 2023 - System Description Paper Due - February 2023 - SemEval workshop Summer 2023 - (co-located with a major NLP conference) Task Organizers: Shamsuddeen Hassan Muhammad, Seid Muhie Yimam, Idris Abdulmumin, Ibrahim Sa’id, Ahmad, David Ifeoluwa Adelani, Abinew Ali Ayele, Vukosi Marivate, Sebastian Ruder, Saif M. Mohammad, Nedjma Ousidhoum, Meriem Beloucif, Tadesse Destaw Belay

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Call for abstracts: CL poster session at the 45th meeting of the German Linguistic Society (DGfS)
by Rainer Osswald 16 Sep '22

16 Sep '22

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

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Shared tasks at The 5th Workshop on Challenges and Applications of Automated Extraction of Socio Political Events
by Hristo Tanev 16 Sep '22

16 Sep '22

Dear researchers, For the 5th consecutive year the Emerging Market Welfare Project and the European Commission Joint Research Centre would like to invite you to test your event extraction systems at the three shared tasks in "The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text" (CASE 2022). The shared tasks feature detection of politically-motivated conflicts, protests, riots and other socio-political events. You can use the occasion to test your system in real-life text collection and to compare it with other systems. Please, follow the link to the workshop to register: CASE 2022 The organizers of CASE 2022

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PhD position in NL4XAI project (Universitat Autònoma de Barcelona-UAB, Spain)
by bbkhse＠gmail.com 16 Sep '22

16 Sep '22

A Ph.D. position is offered within the framework of NL4XAI: Interactive Natural Language Technology for Explainable Artificial Intelligence, a project funded by the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie Grant Agreement No. 860621. Ph.D. research topic: Argumentation-based Multi-agent Recommender System Host institution: Agencia Estatal del Consejo Superior de Investigaciones Científicas- CSIC (Spain), Barcelona-Spain. Required Degree: Degree in Computer Science (or similar), Master's degree in Artificial Intelligence, Computer Science or equivalent providing access to a Ph.D. program. 📆 Deadline for application: October 5, 2022 at 23h59 CET (UCT + 01:00) All details are available at: https://nl4xai.eu/open_position/esr72022-argumentation-based-multi-agent-re… NL4XAI is a European Training Network (ETN) project, which will train 11 creative, entrepreneurial, and innovative early-stage researchers (ESRs), who will face the challenge of making Artificial Intelligence (AI) self-explanatory and thus contribute to translating knowledge into products and services for economic and social benefit, with the support of Explainable AI (XAI) systems. The focus of NL4XAI is on the automatic generation of interactive explanations in natural language, just as humans naturally do, and as a complement to visualization tools. As a result, ESRs are expected to leverage the usage of AI models and techniques even by non-expert users. The NL4XAI consortium is made up of 19 partners and beneficiaries from 6 different European countries (France, Malta, Poland, Spain, The Netherlands, and the United Kingdom). The consortium is coordinated by the Research Centre in Intelligent Technologies of the Univ. of Santiago de Compostela (CiTIUS-USC) and the partners correspond to 2 national R&D centers (IIIA-CSIC and CNRS-LORIA), 11 universities (Univ. Aberdeen, TU Delft, Univ. Malta, Utrecht Univ., Univ. Twente, Univ. Lorraine, Univ. Dundee, Univ. Autònoma de Barcelona, Univ. Santiago de Compostela, Warsaw Univ. of Technology and Maastricht University) and 6 private companies (Indra, Accenture, Orange, Wizenoze, Arria, and Info Support). Each ESR will work on an individual research project in a different host institution and will participate in academic and inter-sectoral secondments at the premises of other NL4XAI members. We look for outstanding, motivated, and team-spirited candidates to carry out a Ph.D. within the NL4XAI ETN and who will get unique international and inter-sectoral training from prominent European researchers (from both academy and industry). Young researchers willing to work on Explainable AI are encouraged to apply. Please, don't hesitate to contact me for further information. Raluca Silvana Tomoni Meda Project Manager E-mail: ralucasilvana.tomoni(a)usc.es

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Launch of a new journal JDIR
by Mai Zaki 16 Sep '22

16 Sep '22

Dear all, *Apologies for cross posting* It is my pleasure to announce to you the launch of a new journal by Brill, Journal of Digital Islamicate Research, where I am privileged to be the co-editor in chief. The journal aims to highlight works using the computational, visualization and big data methods to explore various issues in the emerging field of Middle Eastern and Islamic Digital Humanities. The Journal also aims to promote the study of Arabic-language and other Arabic-script DH work, in addition to Islamicate materials that are digital-born or digitally-reformatted. Please feel free to circulate among your colleagues, and visit the website for more information. We hope to see some of your contributions soon. https://brill.com/view/journals/jdir/jdir-overview.xml On behalf of the whole editorial team, Mai Zaki ******************* *Mai Zaki, Ph.D. د. مي زكي* Associate Professor of Linguistics أستاذ مشارك في اللسانيات CAS | Department of Arabic and Translation Studies قسم دراسات اللغة العربية والترجمة American University of Sharjah, UAE الجامعة الأمريكية في الشارقة، الإمارات العربية المتحدة *http://www.aus.edu <http://www.aus.edu/>* Follow me on Academia.edu <https://aus.academia.edu/DrMaiZaki> Follow me on ResearchGate <https://www.researchgate.net/profile/Mai_Zaki2>

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Mini survey on EXMARaLDA annotation tools
by Thomas Schmidt 15 Sep '22

15 Sep '22

Dear list members, if you happen to be using or have used EXMARaLDA (https://exmaralda.org/en/) tools in your work, I would appreciate if you could complete this little survey: https://tinyurl.com/exmaralda-mini-survey More on the background here: https://exmaralda.org/en/2022/09/10/exmaralda-mini-survey/ Thanks, best regards, Thomas (Schmidt) ---------------- Dr. Thomas Schmidt https://orcid.org/0000-0003-0026-6450

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Multilingual dictionary of phonetic spelling
by Luis Camacho Caballero 15 Sep '22

15 Sep '22

Dear colleagues I'm devoted to the revitalization and massification of the Andean Amazonian native language with computational processing as a key enabler. Among the many tasks to do, nowadays I'm dealing with the creation of neologisms. That is why I'm looking for the larger multilingual dictionary of phonetic spelling, even better if that database includes asian languages (mandarin, japanese, korean, hindi, urdu, etc). If you have this kind of database, I kindly ask you for bring me access, if you don't, I'd appreciate any clue about where and/or how access to it Kind regards Luis Camacho <https://orcid.org/0000-0001-6569-550X> ------------------------------

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Call for Shared Task Proposals for SIGMORPHON 2023
by SIG MORPHON 15 Sep '22

15 Sep '22

Attention, the Special Interest Group on Computational Morphology and Phonology (SIGMORPHON) is currently soliciting proposals for Shared Tasks for the 2023 workshop. If you're interested in organizing a shared task, or know someone who might be interested, please visit https://sigmorphon.github.io/workshops/2023/call_for_tasks/ for details. Important dates: Submission of proposal: September 30, 2022 Notification of acceptance: October 15, 2022 Data ready / task begins: January 31, 2023 Workshop: TBA, Summer 2023 Any inquiries can be sent to the official SIGMORPHON e-mail address: sigmorphon(a)gmail.com Garrett Nicolai SIGMORPHON President

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September 2022 Newsletter - LDC
by Penn LDC 15 Sep '22

15 Sep '22

In this newsletter: Upcoming Policy Change to LDC's Open Memberships LDC at Interspeech 2022 LanguageARC: Citizen Science for Language 30th Anniversary Highlight: Switchboard New publications: Xi'an Guanzhong Object Naming<https://catalog.ldc.upenn.edu/LDC2022S09> MASRI Synthetic<https://catalog.ldc.upenn.edu/LDC2022S08> ________________________________ Upcoming Policy Change to LDC's Open Memberships LDC is changing Its open membership year policy beginning January 1, 2023. Only one membership year will be open for joining - the current membership year. The 2022 membership year will close for joining on December 31, 2022. We expect this change to have a minimal impact on members, while allowing us to streamline our processes to serve members better. LDC's many membership benefits<https://www.ldc.upenn.edu/members/benefits> will remain the same and organizations choosing to join membership years in advance will still be able to do so. If you have any questions about this change, please don't hesitate to contact our membership office<mailto:ldc@ldc.upenn.edu>. LDC at Interspeech 2022 LDC is proud to sponsor the Workshop for Young Female Researchers in Speech<https://sites.google.com/view/yfrsw-2022/> (YFRSW) to be held in-person as an Interspeech 2022<https://interspeech2022.org/> pre-conference satellite event on September 17. Also, be sure to check out the collaborative work of LDC's Mark Liberman, "The mapping between syntactic and prosodic phrasing in English and Mandarin", presented during the On-Site Oral Session: Phonetics and Phonology on Wednesday, September 21, 13:30-15:30 KST. LanguageARC: Citizen Science for Language LanguageARC<https://languagearc.com> is a citizen science web portal for language research developed by LDC with the support of the National Science Foundation (grant #1730377). LanguageARC brings together researchers and participants from the general public interested in language to form a community dedicated to support and advance language-related research and development. Contributors to this online community can participate in a variety of language-related tasks and activities such as reading text, answering questions, describing images or video, creating or evaluating transcriptions for audio clips, or developing translations into their native languages. LanguageARC includes projects in languages other than English, such as French, Sesotho, and Swedish. Xi'an Guanzhong Object Naming LDC2022S09<https://catalog.ldc.upenn.edu/LDC2022S09>, released this month in LDC's Catalog and described below, is an example of a data set developed using LanguageARC. New projects will be added on an ongoing basis. Sign up for a LanguageARC account today to start making real contributions to language knowledge and research. Please share this information with colleagues, students, and anyone who might be interested in participating in the language activities on this website. If you are a researcher interested in creating a project on Language ARC, please reach out on the site's Contact<https://languagearc.com/messages/new> page. Find LanguageARC on Facebook at: https://www.facebook.com/languagearc 30th Anniversary Highlight: Switchboard Switchboard-1 Release 2 (LDC97S62<https://catalog.ldc.upenn.edu/LDC97S62>) is considered the first large collection of spontaneous conversational telephone speech (Graff & Bird, 2000<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/lrec2000-many-uses-…>). It consists of approximately 260 hours of recordings collected by Texas Instruments in 1990-1991 (Godfrey et al., 1992<https://isip.piconepress.com/projects/switchboard/doc/education/papers/pape…>). The first release of the corpus (later superseded) was published by NIST and distributed by LDC in 1993. Participants were 543 speakers (302 male, 241 female) from across the United States who accounted for around 2,400 two-sided telephone conversations. A robot operator handled the calls, giving the caller appropriate recorded prompts, selecting and dialing another person (the callee) to take part in a conversation, introducing a topic for discussion, and recording the speech from the two subjects into separate channels until the conversation was finished. Roughly 70 topics were provided, of which about 50 were used frequently. Selection of topics and callees was constrained so that: (1) no two speakers would converse together more than once and (2) no one spoke more than once on a given topic. This gold standard data set has been used for many HLT applications, including speaker identification, speaker authentication, and speech recognition. It is considered one of the most important benchmarks for recognition tasks involving large vocabulary conversational speech (Deshmukh et al., 1998<https://www.researchgate.net/profile/Aravind-Ganapathiraju/publication/2214…>) as well as a key resource for studying the phonetic properties of spontaneous speech (Greenberg et al., 1996<https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.65.3655&rep=rep1&…>). Annotation tasks based on Switchboard include discourse tags/speech acts, part-of-speech tagging and parsing, and sentiment analysis<https://catalog.ldc.upenn.edu/LDC2020T14>. The Switchboard series includes Switchboard Credit Card<https://catalog.ldc.upenn.edu/LDC93S8>, Phase II<https://catalog.ldc.upenn.edu/LDC98S75>, Phase III<https://catalog.ldc.upenn.edu/LDC2002S06>, the Switchboard Cellular<https://catalog.ldc.upenn.edu/LDC2001S13> collection, and new recordings from 18 Switchboard participants in the 2013 Greybeard<https://catalog.ldc.upenn.edu/LDC2013S05> corpus. All Switchboard corpora are available in the Catalog for licensing by Consortium members and non-members. Visit Obtaining Data<https://www.ldc.upenn.edu/language-resources/data/obtaining> for more information. ________________________________ New publications: Xi'an Guanzhong Object Naming<https://catalog.ldc.upenn.edu/LDC2022S09> is comprised of 15 hours of audio recordings from speakers of the Guanzhong dialect of Mandarin Chinese living in or near Xi'an in Shaangxi Province (China) naming objects that appeared in colored line drawings. The corpus was developed to support traditional and computer aided language documentation. The collection was conducted from February-May 2021 using LanguageARC<https://languagearc.com/>, a citizen science portal developed by LDC, from a closed volunteer community. Speakers were presented with images selected from the MultiPic dataset<https://www.bcbl.eu/databases/multipic> and were asked to record themselves naming the objects in the images. Xi'an Guanzhong Object Naming is distributed via web download. 2022 Subscription Members will automatically receive copies of this corpus. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. * MASRI Synthetic<https://catalog.ldc.upenn.edu/LDC2022S08> MASRI (Maltese Automatic Speech Recognition I) Synthetic was developed by the MASRI team <https://www.um.edu.mt/projects/masri/> at the University of Malta<https://www.um.edu.mt/> and contains 99 hours of synthesized Maltese speech. Source sentences were extracted from the Maltese Language Resource Server<https://mlrs.research.um.edu.mt/index.php?page=corpora> (MLRS) corpus, comprised of written or transcribed Maltese covering various genres, including parliamentary debates, news, law, opinion, sports, culture, academic, literature, and religious texts. Text was processed through the CrimsonWing text-to-speech system to generate speech files. Synthesized speech was created with 210 voices (105 female, 105 male). MASRI Synthetic is distributed via web download. 2022 Subscription Members will automatically receive copies of this corpus provided they have submitted a completed copy of the special license agreement. 2022 Standard Members may request a copy as part of their 16 free membership corpora. Non-members may license this data for a fee. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Second Call for Papers Global WordNet Conference 2023
by Begoña Altuna 15 Sep '22

15 Sep '22

Second Call for Papers Global WordNet Conference 2023 [Apologies for cross posting] Call for Papers 12th International Global Wordnet Conference Donostia / San Sebastian, Basque Country January 23-27, 2023 Global Wordnet Association: www.globalwordnet.org Conference website: https://hitz.eus/gwc2023 The Global Wordnet Association is pleased to announce the 12th International Global Wordnet Conference (GWC2023) in Donostia / San Sebastian (Spain) hosted by HiTZ, Basque Center for Language Technology at the University of the Basque Country. NOTE: COVID-19 allowing, the conference will be in person only. Organisers: Begoña Altuna, Itziar Aldabe, Xabier Arregi, Itziar Gonzalez-Dios, Aritz Farwell and Esther Miranda. Details about the Association and the full announcement for the conference can be found on the conference website: https://hitz.eus/gwc2023 We invite submissions with original contributions addressing, but not limited to, the topics listed below. Proposals for tutorials are welcome as well. Conference Topics 1. Lexical semantics and meaning representation * Critical analysis and applications of lexical and semantic relations * Proposed new relations * Definitions, semantic components, co-occurrence and frequency statistics * Word, Sense and Context Embeddings * Necessity and completeness issues * Ontology and wordnet * Other lexicographical and lexicological questions pertaining to wordnet-style meaning representation * Wordnets and other modalities 1. Architecture of lexical databases * Language independent and language dependent components * Integration of multi-wordnets in research infrastructures (like CLARIN, ELG, etc.) * Wordnets and Linked Open Data (LOD) 1. Tools and methods for wordnet development * User and Data entry interfaces * Methods for constructing, extending and enriching wordnets * Methods for linking wordnets to other lexical and semantic resources * Methods for leveraging existing wordnets and semantic networks with large language models 1. Applications of wordnet * Word sense disambiguation * Text generation * Commonsense reasoning * Machine translation * Information extraction and retrieval * Document structuring and categorisation * Automatic hyperlinking * Language pedagogy * Psycholinguistic applications * Embeddings and pretrained language models * Probing large neural language models 1. Standardization, distribution and availability of wordnets and wordnet tools. Submissions will fall into one of the following categories (page limits exclude references): * long papers: 8 pages max, 30 minute presentation * short papers: 5 pages max; 15 minute presentation * project reports: 5 pages max., 10 minute presentation * demonstrations : 5 pages max, with an additional 3 pages screen dumps or images; 20 minute presentation Submissions should be anonymous and any identifying information must be removed. Authors must state the preferred category, though acceptance may be subject to change in the category of the presentation, e.g. a long paper submission may be accepted as a short paper. Final papers should be submitted in electronic form (PDF only). Paper submissions must use the official ACL style templates, which are available from here <https://github.com/acl-org/acl-style-files> (Latex and Word). Please follow the paper formatting guidelines general to “*ACL” conferences available here <https://acl-org.github.io/ACLPUB/formatting.html>. Authors may not modify these style files or use templates designed for other conferences. Submission site: https://easychair.org/conferences/?conf=gwc2023 Important Dates (NEW DATES!!!) 1. September 30, 2022 Deadline for abstract submission 2. October 14, 2022 Deadline for paper submission 1. November 18, 2022 Notification of acceptance 1. December 1, 2022 Registration opens 1. December 23, 2022 Deadline author registration, final version paper 1. January 23-27, 2023 Conference Proceedings Conference proceedings will be open access and downloadable from the GWA website. The proceedings will have an ISBN and be published in the ACL anthology. Papers are only included in the proceedings if at least one author has registered. Inclusion of accepted submissions into the final program and the proceedings is contingent upon at least one author’s registration. Late registration and on-site registration for participants is possible without inclusion of the paper and without presentation. Conference Chairs German Rigau - german.rigau(a)ehu.eus Francis Bond - bond(a)ieee.org Local Organizing Chairs Begoña Altuna - begona.altuna(a)ehu.eus Itziar Aldabe - itziar.aldabe(a)ehu.eus Xabier Arregi - xabier.arregi(a)ehu.eus Itziar Gonzalez-Dios - itziar.gonzalezd(a)ehu.eus Aritz Farwell - asfarwell(a)ehu.eus Esther Miranda - esther.miranda(a)ehu.eus Program Committee (to be confirmed and extended) Adam Pease, Articulate Software Ales Horak, Masaryk University Alexandre Rademaker, IBM Research Brazil and EMAp/FGV Bolette Pedersen, University of Copenhagen Christiane Fellbaum, Princeton University Darja Fiser, University of Ljubljana David Lindemann, IWiSt, University of Hildesheim Diptesh Kanojia, IIT Bombay Eneko Agirre, University of the Basque Country Ewa Rudnicka, Wrocław University of Technology Francis Bond, Palacký University Gerard De Melo, Rutgers University German Rigau, IXA Group, UPV/EHU Haldur Oim, University of Tartu Heili Orav, University of Tartu Hugo Gonçalo-Oliveira, Department of Informatics Engineering of the University of Coimbra Janos Csirik, University of Szeged John Mccrae, National University of Ireland, Galway Kadri Vider, University of Tartu Kevin Scannell, Saint Louis University Kyoko Kanzaki, Otemon Gakuin University Maciej Piasecki, Department of Computational Intelligence, Wroclaw University Marten Postma, Vrije Universiteit Amsterdam Paul Buitelaar, National University of Ireland, Galway Piek Vossen, VU University Amsterdam. Sanni Nimb, The Danish Society for Language and Literature Shan Wang, The Education University of Hong Kong Shu-Kai Hsieh, National Taiwan Normal University Sonja Bosch, Department of African Languages, University of South Africa Thierry Declerck, DFKI, Saarbruecken Tim Baldwin, The University of Melbourne Tomaž Erjavec, Dept. of Knowledge Technologies, Jožef Stefan Institute Umamaheswari Vasanthakumar, Nanyang Technological University Valeria Depaiva, Natural Language and AI Research Laboratory of Nuance Communications, Inc. Verginica Mititelu, Romanian Academy Research Institute for Artificial Intelligence Sponsors Keler https://www.keler.eus/en

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CASE 2022, shared tasks on event extraction
by Hristo Tanev 15 Sep '22

15 Sep '22

Dear NLP Researchers, For the 5th consecutive year the Emerging Market Welfare Project and the Europeam Commission Joint Research Centre would like to invite you to test your event extraction systems at the three shared tasks in The 5th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text. (CASE 2022). The shared tasks feature detection of politically-motivated conflict events, especially detection of protests and riots. You can use the occasion to test your system in real-life text collection. Please, follow the link to the workshop and register, if you want to participate: https://lnkd.in/dbGp2jRe The organizers of CASE 2022

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Conference: Literary Machine Translation as a Human-Machine Dialectic (ULiège)
by Damien Hansen 14 Sep '22

14 Sep '22

[Apologies for cross-posting] *Literary Machine Translation as a Human-Machine Dialectic* International conference Thursday, 6 October 2022 University of Liège, Belgium Program and registration: https://www.cirti.uliege.be/litMT2022 The Centre interdisciplinaire de recherches en traduction et en interprétation (CIRTI, University of Liège) will hold a one-day symposium centred around the topic of literary machine translation and dialogue between human and machine as a potential computer-assisted literary creation tool. • Can we re-imagine and use machine translation tools for creative means? • How do we train systems adapted to the literary domain? • What impact would it have on creativity, quality and translators' voice? • What are the ethical challenges brought about by new technologies? Join us for a day of exchanges, presentations and round tables as we tackle these questions. All best, The Organizing Team --- *Damien Hansen* Université de Liège - Université Grenoble Alpes CIRTI - LIG/GETALP - LGL

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multi-modal research opening in Cambridge, UK
by Svetlana Stoyanchev 14 Sep '22

14 Sep '22

The Speech Technology Group of Toshiba Europe LTD in Cambridge has opening for a researcher to work on multi-modal interfaces. The position offers researchers to work with an interdisciplinary team focussing on both speech and vision modalities. We are looking for candidates with a PhD or Masters with deep learning experience who will contribute to advancing multi-modal research and building prototype systems. Please check here for more details: https://careers.toshiba.eu/displayjob.aspx?jobid=351 ----------------------- Dr Svetlana Stoyanchev Speech Technology Group, Cambridge Research Lab, Toshiba Europe Limited https://www.linkedin.com/in/svetlana-stoyanchev/

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Monday 19 September: Free online course (MOOC) in CL starts
by Brezina, Vaclav 14 Sep '22

14 Sep '22

Dear all, We are really excited to be offering the highly-successful free online course (MOOC) in Corpus linguistics: 'Corpus Linguistics: Method, Analysis, Interpretation'. This anniversary tenth run of the course starts on 19 September 2022 and runs for eight weeks. If you are interested, you can register now for free at https://www.futurelearn.com/courses/corpus-linguistics by clicking on 'Join today'. As every year, we have included brand new features to the course keeping you up to date with new developments in the field. I hope to see you on the course! Best, Vaclav **Special offer - £500 off Lancaster tuition fees** If you decide to study the free MOOC, or if you actively participated and completed the course within the last three years, you are eligible to apply for our MOOC entry route to Lancaster University's MA (2 years, online) or Postgraduate Certificate (1 year, online). You can still apply for the 2022 start. By doing so, you will not take the first core module of the programme, Fundamentals of Corpus Linguistics, but will be expected to submit two written assessments, in January of year 1, using the knowledge you developed through the MOOC. This entry route has a fee discount of £500, which will be deducted from the first year of your fees. MA https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/corpus-… PG Certificate https://www.lancaster.ac.uk/study/postgraduate/postgraduate-courses/corpus-… Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.png@01D8C82C.E9592780]@vaclavbrezina [cid:image002.png@01D8C82C.E9592780]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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Open call for tenders - Corpus collection + Use case study for a technology-based scientific translation service
by susanna.fiorini＠operas-eu.org 14 Sep '22

14 Sep '22

***Translations & Open Science calls for tenders*** The OPERAS Research Infrastructure launches a series of calls for tenders in order to lay the foundation of a technology-based scientific translation service to foster multilingualism in scholarly communication and thus help to remove language barriers according to Open Science principles. The first two calls are now open (submission deadline: 7 October 2022) 1. Mapping and collection of scientific bilingual corpora: identifying, collecting and preparing corpora of bilingual scientific texts which will serve as training dataset for specialised translation engines, source data for terminology extraction, and translation memory creation Link to call 1: https://www.operas-eu.org/mapping-and-collection-of-scientific-bilingual-co… 2. Use case study for a technology-based scientific translation service: drafting an overview of the current translation practices and challenges in scholarly communication and defining the use cases of a technology-based scientific translation service (expected users and usage scenarios, features, quality requirements, editorial and technical workflows) Link to call 2: https://www.operas-eu.org/use-case-study-for-a-technology-based-scientific-… Please note that two additional calls will be released in the coming months in the following areas: Machine translation output evaluation and Roadmap and budget projections. For any information about ongoing and future calls, please feel free to contact Susanna Fiorini at susanna.fiorini(a)operas-eu.org

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Full-time Assistant Professor position in Natural Language Processing at FI MU Brno - deadline Sep 30
by Ales Horak 14 Sep '22

14 Sep '22

We would like to draw your attention to currently open call for full-time academic position of Assistant Professor in the field of Natural Language Processing at the Faculty of Informatics, Masaryk University in Brno, Czech Republic. https://www.muni.cz/en/about-us/careers/vacancies/70340 Assistant Professor Position in Natural Language Processing Department Department of Machine Learning and Data Processing – Faculty of Informatics Deadline 30 Sep 2022 Start date By mutual agreement. The Dean of the Faculty of Informatics MU invites applications for a position of Assistant Professor in Natural Language Processing, with the Department of Machine Learning and Data Processing. This position is aimed to strengthen the work of the Natural Language Processing Centre (NLP Centre - https://nlp.fi.muni.cz/) at the Faculty of Informatics. NLP Centre conducts basic and applied research in all areas of text and speech analysis and knowledge engineering with applications in data analysis projects (often in cooperation with industrial partners) and education of future language and data analysts. Besides research and education, the abilities to work with a team of graduate students on research targeting top NLP conferences and to engage undergraduate and graduate students in both educational and research exercises are crucial. Job description key points - Active international cooperation, in research and education. - Involvement in teaching in the natural language processing area. - Supervision of Master/Bachelor theses and consultancy or co-supervision of PhDs. - Involvement in expanding industrial cooperation in the natural language processing area. Requirements - PhD in Informatics or related discipline. - Passion for problem solving and desire for continuous improvement in teaching skills. - Existing track record in both education and research in natural language processing. - Expert knowledge in (several) areas covered by courses: - PA153 Natural Language Processing https://is.muni.cz/course/fi/PA153 - IA161 Natural Language Processing in Practice https://is.muni.cz/course/fi/IA161 - PA164 Machine learning and natural language processing https://is.muni.cz/course/fi/PA164 - PA154 Language Modeling https://is.muni.cz/course/fi/PA154 - PV061 Machine Translation https://is.muni.cz/course/fi/PV061 - PV277 Programming Applications for Social Robots https://is.muni.cz/course/fi/PV277 - PA156 Dialogue Systems https://is.muni.cz/course/fi/PA156 - IB047 Introduction to Corpus Linguistics and Computer Lexicography https://is.muni.cz/course/fi/IB047 - Practical involvement in the development phase of software project(s) with ability to demonstrate tools developed and showcase data analyses performed. - Dynamic, flexible personality, able to work well in teams. - Languages – fluent English (both spoken and written), other language(s) welcome. - Experience from other countries than Czech & Slovak republics (at least half a year). Desired skills and achievements - Experience with research achievements published at the top NLP conferences or best journals publishing NLP research results. - Ability to work well in interdisciplinary teams. - Successfully defended Bachelor and/or Master theses supervised. - Experience with research project team leadership is an advantage. - Open-source projects development and maintenance. Other information The starting salary for this Assistant Professor position is 76,500 CZK, and with the progress in this tenure-track position can in no more than 3 years be modified based on the level of involvement in research and educational projects. Applicants should submit - CV; - degree documents; - summary of work experience, publication and teaching activities and involvement in research grants; - cover letter explaining your interest in the position and the IT area; - title and abstract of a lecture that can be presented as a part of the application process; - names and contacts of three professional and language referees. Please submit your application, including all required documents, preferably online via the MU e-application at Vacancies | Masaryk University (muni.cz) In case this way of submission would not be possible, we also accept a paper application with a declaration of the reason for the such submission. Any queries regarding the submission shall be sent to: pers(a)fi.muni.cz. Queries regarding the position as such can be addressed to assoc. prof. Ales Horak: hales(a)fi.muni.cz. Further information is available Masaryk University at https://www.muni.cz/en Brno at https://www.gotobrno.cz/en/ -- Ales Horak Faculty of Informatics Masaryk University Brno, Czech Republic

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Free virtual panel discussion: The Oxford Dictionary of African American English in the making
by OEDUK 14 Sep '22

14 Sep '22

[apologies for cross-posting] Free virtual panel discussion: The Oxford Dictionary of African American English in the making When: 22nd September 2022; 18:00 BST (UTC +1) / 13:00 EDT (UTC -4)<https://www.timeanddate.com/time/zones/edt> / 10:00 PDT (UTC -7)<https://www.timeanddate.com/time/zones/pdt> Oxford Languages and Harvard University's Hutchins Center for African & African American Research have partnered for a three-year research project, whose aim is to compile the Oxford Dictionary of African American English (ODAAE). The project is spearheaded by Professor Henry Louis Gates, Jr. (Editor-in-Chief), Director of the Center and Alphonse Fletcher University Professor at Harvard, and is funded in part by grants from the Mellon and Wagner Foundations. Join some project team members for a panel discussion covering: * Project overview and aims * Where we are now * Why we are compiling ODAAE * The socio-linguistic importance of African American English * Q&A - bring your questions to the panellists or send them in advance to oed.uk(a)oup.com<mailto:oed.uk@oup.com> Book your place: http://tiny.cc/ODAAE-ML With kind regards, The OED Team

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CoCo4MT: Friday, Sept 16 @ AMTA - Program Available
by John Ortega 13 Sep '22

13 Sep '22

-- Apologies in advance for cross-posting -- CoCo4MT @ AMTA 2022 is only a few days away! The First Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT) focuses on the topic of creating and augmenting training corpora for low-resource languages and machine translation. The CoCo4MT program is now available and we are happy to present an all-star line-up of presentations and speakers. Registration is still available on the AMTA website: https://web.cvent.com/event/ebca84a9-fd92-4186-a248-e4eda76bdf5e/summary The program and other details about the workshop can be found on the website: https://sites.google.com/view/coco4mt Here are some of of the incredible guest keynote speakers: Jörg Tiedemann - Collecting data, training models and distributing both – the OPUS way Graham Neubig - Unlocking Resources for Under-resourced Languages Ankur Parikh - A Multilingual View of Unsupervised Machine Translation Julia Kreutzer - Tackling Low-Resource Machine Translation with Participation, Data and Scale Maria Nadejde - Formality Control for Machine Translation We will also have a panel discussion on low-resource language corpora and more with Marine Carpuat and Kenneth Ward Church and one surprise guest. See you there!

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Save the date: eLex 2023, 27–29 June 2023
by Ondřej Matuška 13 Sep '22

13 Sep '22

The eighth biennial conference *eLex 2023* electronic lexicography in the 21st century will be held in Brno, Czech Republic, 27–29 June 2023. The topic of this conference is: Invisible lexicography. Save the date and follow the conference on the website, Twitter and Facebook to get updates. More information will be provided in the next couple of days. https://elex.link/elex2023 https://twitter.com/elex_conference www.facebook.com/elexconference We are looking forward to meeting you in Brno. Ondřej Matuška (on behalf of the eLex 2023 organising committee)

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[Job opening] Lecturer/Senior Lecturer in Computer Science at Cardiff University
by Jose Camacho Collados 13 Sep '22

13 Sep '22

Dear all, The School of Computer Science and Informatics at Cardiff University (Wales, United Kingdom) is now recruiting for 14 posts at the levels of Lecturer (~Assistant Prof) or Senior Lecturer (~Associate Prof) in several areas of Computer Science, with Natural Language Processing (NLP) being one of the priority areas. Further details can be found here: * Lecturer* (Teaching & Research): https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partner… * Senior Lecturer* (Teaching & Research): https://krb-sjobs.brassring.com/TGnewUI/Search/home/HomeWithPreLoad?partner… The application deadline is Friday, 7 October 2022. More about our Cardiff NLP group can be found here: https://cardiffnlp.github.io/ Best, Jose -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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Postdoctoral position: Research associate in AI and text analytics for digital community collections
by Riza theresa Batista-navarro 13 Sep '22

13 Sep '22

The University of Manchester invites applications for a post-doctoral Research Associate in AI and text analytics to work on an AHRC-funded multi-disciplinary research project "Our Heritage, Our Stories: Linking and searching community-generated digital content to develop the people's national collection". The project, part of the Towards a National Collection: Opening UK Heritage to the World (TaNC) programme, will develop cutting-edge approaches for scalable search, linking and discoverability across community-generated digital content (CGDC) and the national collections of The National Archives (TNA). The successful candidate will focus on developing natural language processing-based methods for automated extraction and semantic enrichment of CGDC metadata from disparate collection descriptions, and will build associated knowledge graphs to enable complex representations and search. This is an excellent opportunity for an experienced and enthusiastic researcher to join a multi-disciplinary team to work with real-world community data and demonstrate the potential of AI in making previously unfindable and unlinkable CGDC, discoverable within the national collection, while respecting and embracing its complexity and diversity. Based in the Department of Computer Science at Manchester, the post will be closely linked to the Emerging Technologies Research team at TNA and researchers in digital humanities, archives, history and linguistics at the Universities of Manchester and Glasgow, and will collaborate with leading UK heritage organisations, including Tate, the British Museum, the National Libraries of Scotland and Wales, the National Lottery Heritage Fund, the Public Record Office of Northern Ireland, and a network of smaller regional and local heritage organisations holding digital content created by and relating to communities. Further details can be found at https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=23281 How to apply: Applications are to be submitted online at https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=23281 Deadline for applications: 27 September 2022

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Second Call for Papers: 1st International Multimodal Communication Symposium 2023
by Multimodal Communication Symposium 12 Sep '22

12 Sep '22

Dear colleagues, Could you please help distribute the information below regarding the 2nd CFP? Thank you very much in advance! ------------------------------------------------ ***With apologies for multiple postings*** We are delighted to announce that the *1st International Multimodal Communication Symposium (MMSYM 2023)*, which will take place in Barcelona in April 2023 (27th-28th), has just issued a Call for Papers. The abstract submissions are now open. *Call for Papers: MMSYM 2023* *1st International Multimodal Communication Symposium, April 27-28 2023, Barcelona* The *1st International Multimodal Communication Symposium (**MMSYM 2023)* will be held from Thursday 27th to Friday 28th April 2023 at Universitat Pompeu Fabra in Barcelona, Catalonia. *MMSYM 2023* follows up on a tradition established by the Swedish Symposia on Multimodal Communication held from 1997 until 2000, and continued by the Nordic Symposia on Multimodal Communication held from 2003 to 2012. Since 2013, the symposium has acquired a broader European dimension, with editions held in Malta (2013), Tartu (2014), Dublin (2015), Copenhagen (2016), Bielefeld (2017), and Leuven (2019). To acknowledge its international ambition, this year, the symposium in Barcelona has updated its name to *1st International Multimodal Communication Symposium*. The symposium is locally organized at Universitat Pompeu Fabra with the support of the research groups collaborating within the GEHM network (GEstures and Head Movements in Language, https://cst.ku.dk/english/projects/gestures-and-head-movements-in-language-…), whose goal is to foster research into the way hand gestures and head movements interact with speech in face-to-face and human-computer multimodal communication. We welcome works aimed at exploring different approaches to multimodal communication, including research on multimodality in human communication and/or in human-computer interaction. In addition, this year’s symposium has a particular interest in three main research themes: 1) the language-specific characteristics of gesture-speech interaction 2) multimodal prominence 3) the conceptual and statistical modelling of multimodal contributions, with particular regard to head movements and the use of gaze. Therefore, we particularly encourage contributions dealing with––but not limited to––the three topics described above. The symposium will feature *keynote talks* by three confirmed invited speakers: - *Alan Cienki*, Professor of Language Use & Cognition and English Linguistics, Vrije Universiteit Amsterdam. Website: https://research.vu.nl/en/persons/alan-cienki - *Jelena Krivokapić*, Associate Professor in Linguistics, University of Michigan. Website: https://sites.lsa.umich.edu/jelenakrivokapic/ - *Catherine Pelachaud*, Director of Research, Institute of Intelligent Systems and Robotics, Campus Pierre et Marie Curie, Sorbonne Université. Website: https://www.isir.upmc.fr/personnel/pelachaud/ *Abstract submission guidelines* 1) Abstracts should be written in English and should not exceed 2 A4 pages (max. 700 words) including examples, figures and references. The format should comply with the MS Word model provided *here*: https://docs.google.com/document/d/1Eyi9laqglihk7OmfFWv8QsEd1jqzYjIi/edit?r… 2) Add at least three keywords to your submission. 3) Abstracts should be *anonymous* and submitted in pdf format. All references to authors should be omitted for purposes of blind review. 4) Authors may submit one abstract as first author and up to three abstracts as a co-author. Please use our *EasyChair* website for abstract submissions: https://easychair.org/conferences/?conf=mmsym2023 Abstracts received after the deadline will not be considered. Accepted abstracts will be allocated as either oral talk or poster presentation, and will be published in the book of abstracts. *Abstract submission*: September 30, 2022 *Notification of acceptance*: approximately December 15, 2022 For more information, please visit the symposium website at http://mmsym.org/ If you have any questions, do not hesitate to contact us at mmsym2023(a)gmail.com *Local organizing committee:* Pilar Prieto (coordinator) Florence Baills Júlia Florit-Pons Celia Gorba Sara Muñoz Mariia Pronina Patrick Rohrer Ïo Valls Ingrid Vilà-Giménez Xiaotong Xi Ting Yao Yuan Zhang *Program committee:* Patrizia Paggio (coordinator, University of Copenhagen) Jens Edlund (KTH Royal Institute of Technology, Stockholm) Marianne Gullberg (Lund University) David House (KTH Royal Institute of Technology, Stockholm) Maria Koutsombogera (Trinity College Dublin) Pilar Prieto (ICREA-Universitat Pompeu Fabra) Carl Vogel (Trinity College Dublin) Margaret Zellers (Kiel University) ------------------------------------------------ Please feel free to share the call with your colleagues/networks. Best wishes, The MMSYM 2023 Organizing Committee -- *The MMSYM 2023 Organizing Committee* *Website*: mmsym.org *Email*: mmsym2023(a)gmail.com *Twitter*: @MMSYM2023 <https://twitter.com/mmsym2023>

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conference call for LTC 2023
by pap 12 Sep '22

12 Sep '22

Dear manager of the corpora mailing list, could you please post the following call for paper. In advance, thank you for you help. Patrick Paroubek LISN - CNRS - U. Paris-Saclay ----- 10th LANGUAGE AND TECHNOLOGY CONFERENCE: Human Language Technologies as a Challenge for Computer Science and Linguistics, April 21-23, 2023, Poznań, Poland (LTC 2023) CALL FOR PAPERS VENUE: April 21-23, 2023 in Poznań, Poland. IMPORTANT DATES/DEADLINES: * Deadline for submission of papers for review: October 22, 2022 * Acceptance/Refusal notification: November 30, 2022 * Deadline for submission of final versions of accepted papers: December 28, 2022 * Conference: April 21-23, 2023 WEB SITE: http://ltc.amu.edu.pl/ -------------------------------------------------------------------------------- The Faculty of Mathematics and Computer Science of the Adam Mickiewicz University in Poznań (Poland) and the Adam Mickiewicz University Foundation organize the 10th LTC on April 21-23, 2023. Following the tradition of the past events, it is supported by ELRA, FlaReNet and META-NET. Since 2005 LTC is organized every two years as the “Language & Technology Conference: Human Language Technologies as a Challenge for Computer Science and Linguistics”. Started 27 years ago, the conference find its origin in the Language and Technology Awareness Days, a meeting organized in 1995 with the assistance of the European Commission (DG XIII), with among the key speakers: Antonio Zampolli (Italy), Dafydd Gibbon (Germany), Dan Tufiş (Romania) and Orest Kossak (Ukraina). The conference welcomes researchers, advanced and beginning students, as well as all other people interested in the new advances at the borderline between computer science, human language industries and linguistics. CONFERENCE TOPICS LTC 2023 welcomes the submission of original unpublished papers on various aspects of Human Language Technology of both theoretical and practical importance: * AI-oriented studies of human language competence * communicative intelligence * computational semantics * computer modeling of language competence * corpora-based methods in language engineering * electronic language resources and tools * formalization of natural languages * HLT related policies * HLT standards and best practices * HLTs as support for e-learning * HLTs as support for foreign language teaching * HLTs as support in solving Homeland Security problems (technology applications and legal aspects) * knowledge representation * language-specific computational challenges for HLTs (especially for languages other than English) * legal issues connected with HLTs (problems and challenges) * Logic Programming in Natural Language Processing * human- machine NL interfaces * methodological issues in HLT * neural networks in language engineering * NL applications in robotics * NL understanding by computers * NL user modeling * NLP methods in cyber-criminality detection and prevention * paralinguistic phenomena in Natural Language Processing * parsing and other forms of NL processing * question answering * sentiment, opinion and emotion analysis * socio-political aspects of HLTs * speech processing * system prototype presentations * technological aspects of nonverbal linguistics * text-based information retrieval and extraction * tools and methodologies for developing multilingual systems * translation enhancement tools * validation in all areas of HLTs * visionary papers in the field of HLT * WordNet-like ontologies PAPER SUBMISSION The conference accepts papers in English only. Papers (5 formatted pages in the conference format) are due by October 22, 2022 (midnight, any time zone) and should not disclose the author(s) in any manner. In order to facilitate submission we have decided to reduce the formatting requirements as much as possible at the submission stage. All submissions are to be made electronically via the LTC 2023 web submission system (EasyChair). Paper templates will be available soon at http://www.ltc.amu.edu.pl (Paper Submission section). PUBLICATION POLICY Acceptance will be based on the reviewers' assessments (blind peer review by tree experts). The accepted papers will be published in the conference proceedings (hard and electronic copy, with ISBN number). The abstracts of the accepted contributions will also be made available via the conference page (during its lifetime). Publication requires full electronic registration and payment of the conference fee (full registration) by at least one co-authors in the due time (dates will be presented at the conference site). One registration fee entitles publication of one paper. Since 2005 until now, post-conference volumes with substantially extended versions of selected conference papers were published. Since 2007 these post-conference monographs were published in the Springer Verlag series Lecture Notes in Artificial Intelligence. We intend to continue this tradition. Papers will be selected based on reviewers’ reports among the best evaluated papers of general interest with new innovative results. Preference will be given to papers providing significant content extension with respect to the paper presented at the conference. More details will be provided via the LTC23 web site. AWARDS FOR BEST STUDENT PAPERS Special awards will be granted to the best student (status at the date of paper submission). The majoritarian student contribution to the paper must be confirmed by all paper co-authors in a written form. More details will be provided at the LTC website. To find information out about the winners at previous conferences please visit www.ltc.amu.edu.pl. ACCOMPANYING EVENTS Please do not hesitate to contact us with new suggestions and ideas concerning . We are open to suggestions concerning accompanying events (workshops, exhibits, panels, etc). Suggestions, ideas and observations may be addressed directly to ltc23(a)amu.edu.pl or to the LTC23 Chairs via email (cc marta.witkowska(a)amu.edu.pl). LANGUAGE: The conference language is English. Contacts: Zygmunt Vetulani (vetulani(a)amu.edu.pl) and Patrick Paroubek (pap(a)lisn.fr) (LTC23 Cochairs), Marta Witkowska (LTC23 Secretary) (marta.witkowska(a)amu.edu.pl) MORE ABOUT THE CONFERENCE at the LTC23 website: http://www.ltc.amu.edu.pl *) City of Poznań: https://www.poznan.pl/mim/en/ -----

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Tenure Track faculty position in Computational Linguistics at Brandeis University
by Nianwen Xue 12 Sep '22

12 Sep '22

*Tenure-track Assistant Professor, Computational Linguistics* The Department of Computer Science at Brandeis University invites applications for a tenure-track assistant professor in computational linguistics, beginning Fall 2023. Qualifications required of all applicants include a Ph.D., in hand by Fall 2023, in Computer Science or a related discipline, a strong research record, and a commitment to teaching at the undergraduate and graduate levels. Particular attention will be given to candidates pursuing research in the broad area of speech, dialogue, or multimodal language processing. This position is subject to budgetary approval. The Department consists of a diverse group of 20 full-time faculty members and researchers and offers programs leading to B.A./B.S., M.S., and Ph.D. degrees in Computer Science and an M.S. in Computational Linguistics. The Department has research strengths in computational linguistics, theoretical linguistics, machine learning, computer vision, data mining, networking, distributed systems, operating systems, databases, algorithms, and software design and implementation. In addition, members of the Department collaborate closely with faculty across the university including biology, neuroscience, economics, physics, political science, among others. At Brandeis, we believe that diversity, equity, and inclusion are essential components of academic excellence. Brandeis University is an affirmative action, equal opportunity employer that is committed to creating equitable access and opportunities for applicants to all employment positions. Because diversity, equity, and inclusion are at the core of Brandeis’ history and mission, we value and are seeking candidates that represent a variety of social identities, including those that have been underrepresented in higher education, who possess skills that spark innovation, and who, through their scholarly pursuits, teaching, and/or service experiences, bring expertise in building, engaging, and sustaining a pluralistic, just, and inclusive campus community. Applicants should submit a CV, research statement, and teaching statement, and arrange for at least three reference letters to be submitted to AcademicJobsOnline. Because Brandeis is committed to advancing diversity, equity, and inclusion in all areas of faculty effort, applicants should address at least one of these areas in their cover letter and/or the teaching statement. Qualified applicants should apply at https://academicjobsonline.org/ajo/jobs/22659 . First consideration will be given to applications received by December 20, 2022. Questions about the position can be directed to Professor Nianwen Xue at xuen(a)brandeis.edu. Additional information about the Department is available at https://www.brandeis.edu/computer-science <https://www.brandeis.edu/computer-science/,>, and information about the Computational Linguistics program is available at https://www.brandeis.edu/computer-science/computational-linguistics/index.h… .

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EVALITA 2023: Call for NLP tasks
by Marco Polignano 12 Sep '22

12 Sep '22

****************************************************** *********** EVALITA 2023: Call for tasks *********** ****************************************************** *EVALITA 2023 *is an initiative of AILC (Associazione Italiana di Linguistica Computazionale, *AILC* https://www.ai-lc.it/). As in the previous editions (https://www.evalita.it/), EVALITA 2023 will be organized along a few selected tasks, which provide participants with opportunities to discuss and explore both emerging and traditional areas of *Natural Language Processing and Speech*. The participation is encouraged for teams working both in academic institutions and industrial organizations. *TASK PROPOSAL SUBMISSION* Tasks proposals should be no longer than 4 pages and should include: - task title and acronym; - names and affiliation of the organizers (minimum 2 organizers); - brief task description, including motivations and state of the art; - explanation of the international relevance of the task; - description and examples of the data, including information about their availability, development stage, and issues concerning privacy and data sensitivity. The examples are mandatory because they are intended to give potential participants an idea of what the task data will look like, how it’ll be formatted, etc. - expected number of participants and attendees; - names and contact information of the organizers. /In submitting your proposal, please bear in mind that we encourage:/ - c*hallenging tasks* involving linguistic analysis, e.g., beyond “simple” classification problems; - tasks focused on multimodality, e.g., considering both textual and visual information; - tasks characterized by *different levels of complexity*, e.g., with a straightforward main subtask and one or more sophisticated additional subtasks; - the re-annotation/expansion of datasets from previous years with new annotation levels, and texts from publicly available corpora; - both new tasks and re-runs: for new tasks, organizers will have to specify in the proposal why it would attract a reasonable number of participants, and why it is needed; - application-oriented tasks, that is tasks that have a clearly defined end-user application showcasing; - *multilingual tasks*, i.e. with data both in Italian and in other languages; - *industrial tasks*, i.e. task with real data provided by companies. The organizers of the accepted tasks should take care of planning, according to the scheduled deadlines (see below): - the development and distribution of datasets needed for the contest, i.e. data for training and development, and data for testing; the scorer to be used to evaluate the submitted systems should be included in the release of development data; - the development of task guidelines, where all the instructions for the participation are made clear together with a detailed description of data and evaluation metrics applied for the evaluation of the participant results; - the collection of participants results; - the evaluation of participants results according to standard metrics and baseline(s); - the solicitation of participation and of submissions; - the reviewing process of the papers describing the participants approach and results (according to the template to be made available by the EVALITA 2023 chairs); - the production of a paper describing the task (according to the template to be made available by the EVALITA 2023 chairs). **** Email your proposal in PDF format to evalita2023(a)gmail.com with "EVALITA 2023 TASK Proposal" as the subject line by the submission deadline: October 4th 2022. **** Please feel free to contact the EVALITA 2023 chairs at evalita2023(a)gmail.com in case of any questions or suggestions. * **Deadlines of the task proposal:* - October 4th 2022: submission of task proposals - October 18th 2022: notification of task proposal acceptance *Timelines of EVALITA 2023: To be Announced Shortly* *EVALITA 2023 CHAIRS* Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” - CNR)

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Historical political corpus
by Alexander Osherenko 12 Sep '22

12 Sep '22

Hi all, I am looking for a historical corpus containing political speeches of the Weimar Republic in Germany (1919-1932). Best, Alexander -- Alexander Osherenko, Dr. rer. nat. Socioware Development <http://www.socioware.de/osherenko_page.html> Founder and R&D LMU Project <https://www.researchgate.net/project/Researching-radicalization-and-genocide> Profile: ResearchGate <https://www.researchgate.net/profile/Alexander_Osherenko> Profile: Humboldt-Universität zu Berlin <https://wirsindhumboldt.de/de/VKkZNyFaeu> Channel: Youtube <https://www.youtube.com/user/MrOsherenko>

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Slavic Cognitive Linguistics Conference: first announcement
by Fried, Mirjam 12 Sep '22

12 Sep '22

Dear All, We're very pleased to announce that the 2023 SCLA conference (SCLC-2023) will take place at Harvard University, on June 1-3, 2023, and will be hosted locally by Steven Clancy. Details about the dates, the abstract submission process, fees etc. will be announced in late September. This is just a heads-up about what’s coming and an invitation to start thinking about potential contributions. We anticipate receiving the abstracts within the next 3 months. Please stay tuned! Best regards, Mirjam, Mateusz, and Steven

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CFP: PAC 2023: Spoken English varieties: interfaces and multidimensional approaches
by Anne Przewozny desriaux 11 Sep '22

11 Sep '22

PAC 2023 – Spoken English varieties: interfaces and multidimensional approaches International conference Wednesday, April 12th to Friday, April 14th 2023 @ Université Paris Nanterre, France Guest Speakers David Britain, University of Bern, Switzerland Alexander Haselow, University of Münster, Germany Magdalena Wrembel, Adam Mickiewicz University, Poland The PAC programme (Phonologie de l’Anglais Contemporain: usages, variétés et structure - The Phonology of Contemporary English: usage, varieties and structure) is coordinated by Anne Przewozny-Desriaux (Toulouse Jean Jaurès University), Sophie Herment (University of Aix-Marseille), Sylvain Navarro (Paris Cité University) and Cécile Viollain (Paris Nanterre University). The main aims of the programme can be summarized as follows: to give a better picture of spoken English in its unity and diversity (geographical, social and stylistic); to test existing theoretical models in phonology, phonetics and sociolinguistics from a synchronic and diachronic point of view, making room for the systematic study of variation; to favour communication between specialists in speech and in phonological theory; and to provide corpus-based data and analyses which will help improve the teaching of English as a foreign language. To learn more about us, you can visit the programme’s website: https://www.pacprogramme.net/?lang=en. The 16th edition of the PAC international conference in 2023 will focus on interfaces between phonology and phonetics as well as other levels of linguistic structure in contemporary spoken English varieties on the basis of corpus data. Multidimensional approaches to oral corpora are understood as approaches combining different levels of linguistic analysis and/or tools and methods borrowed from other disciplines (such as sociology, geography, anthropology, computer science, stylistics, psychology, neuro and cognitive sciences, media studies, cultural studies). The conference will be organized around three days of plenary and thematic sessions focusing on the issues detailed hereafter. We will welcome submissions which address, but are not limited to, these topics. Submissions need not be limited to a single thematic session either and may encompass issues from different themes. 1. Identities, attitudes & representations The following topics and questions fall within the scope of this session: • What are the current dynamics of linguistic and cultural communities and identities in the English-speaking world? Are there new linguistic and cultural identities currently emerging? • How are these communities and identities self-perceived and represented, notably in audiovisual and/or literary productions? What is their relationship to traditional standard varieties? • What interfaces or multidimensional approaches can best tackle the issues of sociolinguistic evaluation, representation, authenticity and stereotyping? 2. Standard(s), variation & change The following topics and questions fall within the scope of this session: • What are ongoing changes in contemporary spoken varieties of English (standard and non-standard)? Do they challenge existing theoretical models of speech variation? • What is the impact of regional and social factors on variation and change in the English-speaking world? • What concepts and notions can be borrowed from other disciplines to account for variation and change? • How can corpus phonology shed light on the phonology/phonetics interface? • How do authentic data contribute to empirical approaches in phonology? 3. Suprasegmentals The following topics and questions fall within the scope of this session: • What are the suprasegmental characteristics of contemporary varieties of spoken English? • What interfaces (e.g. prosody/syntax, prosody/pragmatics) or multidimensional approaches (e.g. acoustics, kinesics) can adequately account for the suprasegmental characteristics of spoken varieties of English? • What is the impact of regional and social factors on rhythmic and intonational patterns in spoken English? • How can intonational variation be described, modeled? • What tools are most relevant for the (semi-)automatic annotation of prosody? 4. Interphonology & learner corpora The following topics and questions fall within the scope of this session: • What are the characteristics of L2 varieties of English? How can the acquisition of L2 phonology best be modeled? • How can L2 pronunciation be assessed? What are the most relevant criteria to take into account? How can multidimensional approaches to oral performance help provide feedback to learners? • What is the impact of motivation and self-efficacy on L2 speech productions and perception? • What are learners’ representations of English teaching norms and stereotypes regarding the different varieties of spoken English? 5. Oral syntax The following topics and questions fall within the scope of this session: • What is the syntax of contemporary varieties of spoken English? How can it be described? What are its unique features? • Are the tools and methods used to describe the syntax of written varieties of English appropriate/relevant for the study of spoken English syntax? What adjustments and/or developments can be advocated? • To what extent can oral syntax be studied independently from other linguistic levels of structure? What interfaces (e.g. syntax/prosody, syntax/pragmatics) may be necessary to adequately account for the syntactic characteristics of spoken varieties of English? Are all theoretical frameworks equally equipped to account for the specificities of oral syntax? What syntactic phenomena challenge existing models and frameworks? In tackling these issues, comparisons with written data / varieties are not excluded as long as the main contribution is the characterization of oral syntax. Given the exploratory nature of this topic, we will also welcome presentations reporting work in progress on those issues and technical solutions for the multidimensional study of oral syntax. Dates and deadlines Conference: April 12th to April 14th 2023 Final deadline for submissions: October 3rd 2022 Results of refereeing of abstracts: November 7th 2022 Organised by CREA (Centre de Recherches Anglophones), Université Paris Nanterre TransCrit (Transferts Critiques anglophones), Université Paris 8 with the support of LPL, Aix-Marseille Université CLILLAC-ARP, Université Paris Cité CLLE, Université Toulouse Jean Jaurès Anne Przewozny-Desriaux Prof. in English linguistics | Phonology and sociolinguistics CLLE | CNRS UMR 5263 Dpt of English Studies University of Toulouse-Jean Jaurès, France https://clle.univ-tlse2.fr/accueil/annuaire/anne-przewozny-desriaux#/ The Corpus Phonology of English: Multifocal Analyses of Variation https://edinburghuniversitypress.com/book-the-corpus-phonology-of-english-h… PAC programme & LVTI project https://www.pacprogramme.net/

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Jobs: Tenure track Assistant Professor in Computational Linguistics at Montclair State University
by Anna Feldman 10 Sep '22

10 Sep '22

The Department of Linguistics at Montclair State University invites candidates to apply for a tenure-track Assistant Professor in Computational Linguistics position starting on September 1, 2023. Tenure Track Assistant Professor in Linguistics, with a primary specialization in computational linguistics. We seek candidates who are active researchers in a core linguistics area that complements existing departmental strengths. The successful candidate will play an important role in the continued development of our programs in computational linguistics at the graduate and undergraduate levels that prepare students for careers in industry as well as academia. The new faculty will be expected to teach undergraduate and graduate courses, have an active research agenda, and participate in graduate mentoring and student advisement. Willingness to provide service to the department, university and the larger professional community is also required. Demonstrated ability in grant seeking/writing is a plus. Link to submit your application: https://montclair.wd1.myworkdayjobs.com/en-US/JobOpportunities/details/Assi… Further information about the department and the research interests of its faculty is available at http://www.montclair.edu/chss/linguistics/ COLLEGE/SCHOOL AND DEPARTMENT DESCRIPTIONS The Linguistics Department at Montclair State, housed within the College of Humanities and Social Sciences, offers a wide variety of graduate and undergraduate programs including B.A. in Linguistics, M.A. in Applied Linguistics, and M.S. in Computational Linguistics (jointly with Computer Science). The undergraduate concentrations include ASL/English Interpreting, TESL, and Language Engineering. We also offer Graduate Certificates in Teaching English as a Second Language, Teaching English to Speakers of Other Languages, and Computational Linguistics. The Montclair State Linguistics Department faculty are all actively engaged in research. THE UNIVERSITY Montclair State University is a nationally recognized R2 research doctoral institution that empowers students, faculty, and researchers to rise above their own expectations. Building on a distinguished history dating back to 1908, the University today has 10 colleges and schools that serve 21,000 undergraduate and graduate students with more than 300 doctoral, master’s and baccalaureate programs. Situated on a beautiful, 252-acre suburban campus just 12 miles from New York City, Montclair State welcomes a diverse population of students, many of whom are first generation, and delivers the instructional and research resources of a large public university in a supportive and sophisticated academic environment. QUALIFICATIONS Earned Ph.D. in Linguistics or related discipline required at the time of appointment. Evidence of successful teaching experience at the undergraduate and graduate levels and an active research agenda in computational linguistics. DIVERSITY, EQUITY & INCLUSION STATEMENT Montclair State University is committed to establishing and maintaining a diverse campus community that is representative of the State of New Jersey through inclusive excellence and equal opportunity. Montclair State University's commitment to access and equity is designed to prepare each graduate to thrive as a global citizen. As an affirmative action, equal opportunity institution we are working to support a campus-wide agenda to foster a community that both values and promotes the varied voices of our students, faculty, and staff. The University encourages candidates to apply who will contribute to the cultural tapestry of MSU and who value teaching a diverse student population, many of whom are first generation students. SALARY RANGE Commensurate with experience STARTING DATE September 1, 2023 REQUIRED MATERIALS: · Cover letter, curriculum vitae, research and teaching statements, and representative publications, which can be uploaded during the application process. · 3 letters of recommendation, which can be sent to: lingsearch2022(a)montclair.edu APPLY BY: The position is open until filled and application review begins immediately. You can contact the chair of the search committee, Dr. Jonathan Howell, with questions on the position at lingsearch2022(a)montclair.edu. AN EQUAL OPPORTUNITY/AFFIRMATIVE ACTION INSTITUTION

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PhD position on the topic of hate speech detection at University of Klagenfurt
by Wiegand, Michael 10 Sep '22

10 Sep '22

We are pleased to announce the following *PhD position* in the area of Natural Language Processing at the Digital Age Research Center (D!ARC) at the University of Klagenfurt to commence at the earliest opportunity. Level of employment: 75% (30hours/week) Minimum salary: € 32.116,00 per annum (gross), Classification according to collective agreement: B1 Limited to: 4 years Application deadline: open until filled Tasks and responsibilities: contributing to a new research project in the area abusive language detection/hate speech detection Prerequistites for the appointment: • A Master’s degree in the field of computational linguistics, linguistics, computer science or alike, graded with excellent success and corresponding knowledge in the field • Good programming skills (preferably Python) • Fluent in English (both spoken and written); knowledge in German is a plus Additional desired qualifications: • Familiarity with setting up annotation tasks via crowdsourcing • Experience with supervised learning, particularly state-of-the-art deep learning algorithms • Profound knowledge of publicly available NLP tools and resources • Experience with NLP on social media, particularly Twitter • Experience with web crawling and processing large amounts of textual data • Publications at scientific conferences and in journals in the field relating to the position • Social and communication skills, ability to work independently Our offer: The employment contract is concluded with a starting salary of € 2.294,00 gross per month (14 times a year; previous experience deemed relevant to the job can be recognised in accordance with the collective agreement). The University of Klagenfurt also offers: • Personal and professional advanced training courses, management and career coaching • Numerous attractive additional benefits, see also https://jobs.aau.at/en/the-university-as-employer/ • Diversity- and family-friendly university culture • The opportunity to live and work in the attractive Alps-Adriatic region with a wide range of leisure activities in the spheres of culture, nature and sports The application: If you are interested in this position, please apply in German or English providing the usual documents: • Letter of application • Curriculum vitae • Proof of all completed higher education programmes (certificates, supplements, if applicable) • Other documentary evidence that may be relevant to this announcement (see prerequisites and desired qualifications) To apply, please send all your application materials to michael.wiegand(a)aau.at. Please also use this address for obtaining further information on this specific vacancy. General information about the university as an employer can be found at https://jobs.aau.at/en/the-university-as-employer/. The University of Klagenfurt aims to increase the proportion of women and therefore specifically invites qualified women to apply for the position. Where the qualification is equivalent, women will be given preferential consideration. People with disabilities or chronic diseases, who fulfil the requirements, are particularly encouraged to apply.

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First Call for Papers: Construction Grammars and NLP (CxGs+NLP) Workshop
by Harish Tayyar Madabushi 09 Sep '22

09 Sep '22

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

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Call for Participation: ValueEval @ SemEval'23
by Milad Alshomary 09 Sep '22

09 Sep '22

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

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Final Call for Papers: EvoNLP Workshop (co-located with EMNLP 2022) + Shared task
by Jose Camacho Collados 08 Sep '22

08 Sep '22

************************************ Final Call for Papers: EMNLP EvoNLP Workshop (The First Workshop on Ever Evolving NLP) + Shared task (TempoWiC) Workshop: https://sites.google.com/view/evonlp/ Shared Task (evaluation period still open!): https://sites.google.com/view/evonlp/shared-task Submission deadline (for papers requiring review / non-archival): 10 October, 2022 Submission deadline (with ARR reviews): 25 October, 2022 Notification of acceptance: 31 October, 2022 Camera-ready paper deadline: 11 November, 2022 Workshop date: 7 December, 2022 (co-located with EMNLP) ************************************ Advances in language modeling have led to remarkable accuracy on several NLP tasks, but most benchmarks used for evaluation are static, ignoring the practical setting under which training data from the past and present must be used for generalizing to future data. Consequently, training paradigms also ignore the time sensitivity of language and essentially treat all text as if it was written at a single point in time. Recent studies have shown that in a dynamic setting, where the test data is drawn from a different time period than the training data, the accuracy of such static models degrades as the gap between the two periods increases. -------------------------------------------------------------- This workshop focuses on these time-related issues in NLP models and benchmarks. We invite researchers from both academia and industry to redesign experimental settings, benchmark datasets, and modeling by especially focusing on the “time” variable. We will welcome papers / work-in-progress on several topics including (but not limited to): - Dynamic Benchmarks: Evaluation of Model Degradation in Time Measuring how NLP models age Random splits vs time-based splits (past/future) Latency (days vs years) at which models need to be updated for maintaining task accuracy Time-sensitivity of different tasks and the type of knowledge which gets stale Time-sensitivity of different domains (e.g., news vs scientific papers) and how domain shifts interact with time shifts Sensitivity of different models and architectures to time shifts - Time-Aware Models Incorporating time information into NLP models Techniques for updating / replacing models which degrade with time Learning strategies for improving temporal degradation Trade-offs between updating a degraded model vs replacing it altogether Mitigating catastrophic forgetting of old knowledge as we update models with new knowledge Improving plasticity of models so that they can be easily updated Retrieval based models for improving temporal generalization - Analysis of existing models / datasets Characterizing whether degradation on a task is due to outdated facts or changes in language use Effect of model scale on temporal degradation – do large models exhibit less degradation? Efficiency / accuracy trade-offs when updating models -------------------------------------------------------------- All accepted papers will be published in the workshop proceedings unless requested otherwise by the authors. Submissions can be made either via OpenReview where they will go through the standard double-blind process, or through ACL Rolling Review with existing reviews. See details below. ---- Submission guidelines ---- We seek submissions of original work or work-in-progress. Submissions can be in the form of long/short papers and should follow the ACL main conference template. Authors can choose to make their paper archival/non-archival. All accepted papers will be presented at the workshop. Archival track We will follow double-blind review process and use OpenReview for the submissions. We also will accept ACL rolling review (ARR) submissions with reviews. Since these submissions already come with reviews, the submission deadline is much later than the initial deadline. We will use Open Review for the submissions. Submission link: https://openreview.net/group?id=EMNLP/2022/Workshop/EvoNLP For papers needing review click “EMNLP 2022 Workshop EvoNLP submission” For papers from ARR click “EMNLP 2022 Workshop EvoNLP commitment Submission” ---- Non-archival track ---- Non-archival track seeks recently accepted / published work as well as work-in-progress. It does not need to be anonymized and will not go through the review process. The submission should clearly indicate the original venue and will be accepted if the organizers think the work will benefit from exposure to the audience of this workshop. Submission: Please email your submission as a single PDF file to evonlp(a)googlegroups.com. Include “EvoNLP Non-Archival Submission” in the title and the author names and affiliation within the body of your email. ---- Shared task (TempoWiC) ---- The workshop features a shared task on meaning shift detection in social media. Data is already available and the evaluation phase ends on September 12. Winners of the shared task will also receive a cash prize. More details at the workshop website: https://sites.google.com/view/evonlp/shared-task -- Jose Camacho Collados http://www.josecamachocollados.com<http://www.josecamachocollados.com/>

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Reminder: Application deadline today - PhD & Postdoc positions in NLP and Deep Learning at CIS/LMU Munich
by Barbara Plank 08 Sep '22

08 Sep '22

Application deadline *today* (AOE): September 8th, 2022 The Center for Information and Language Processing (CIS) at LMU Munich has several fully-funded positions in Natural Language Processing and Deep Learning available in the groups of Barbara Plank and Hinrich Schütze. Details and application: https://www.cis.lmu.de/web/jobs2022.html

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[FinNLP-2022 @ EMNLP] Deadline Extended: 14 Sep, 2022
by CHUNG-CHI CHEN 08 Sep '22

08 Sep '22

Dear colleagues, We received a lot of requests about the extension of the submission deadline. Because we still have some time to wait for more interesting submissions, we have decided to extend the submission deadline to* 14 Sep. 2022 (AoE).* EMNLP-2022 at Abu Dhabi is a hybrid conference. We will also provide both online and offline choices for FinNLP workshop participants. We are looking forward to your participation in FinNLP-2022@EMNLP. FinNLP-2022: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022-emnlp/home Best Regards, Chung-Chi Chen --- 陳重吉 (Chung-Chi Chen), Ph.D. Researcher Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan E-mail: c.c.chen(a)acm.org <cjchen(a)nlg.csie.ntu.edu.tw> Website: http://cjchen.nlpfin.com FinNLP-2022: The 4th Workshop on Financial Technology and Natural Language Processing Abu Dhabi National Exhibition Centre Abu Dhabi, UAE, December 8, 2022 Conference website https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2022-emnlp/home Submission deadline September 14, 2022 *FinNLP has become a twice-a-year workshop since 2022.* In H1, it keeps in conjunction with IJCAI; in H2, it starts to colocated with EMNLP. The aim of this workshop is to provide a forum where international participants share knowledge on applying NLP to the FinTech domain. Recently, analyzing documents related to finance and economics has attracted much attention in the AI community. In the financial field, FinTech is a new industry that focuses on improving financial activity with technology. Thus, in order to bridge the gap between the NLP research and the financial applications, we organize FinNLP workshop series. One of the expected accomplishments of FinNLP is to introduce insights from the financial domain to the NLP community. With the sharing of the researchers in FinNLP, the challenging problems of blending FinTech and NLP will be identified, and the future research direction will be shaped. That can broaden the scope of this interdisciplinary research area. Submission Guidelines All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: - *Long Paper:* May consist of up to 8 pages of content, plus unlimited pages for references and appendix. - *Short Paper and Demo Paper: *May consist of up to 4 pages of content, plus unlimited references and appendix. List of Topics We invite submissions of research papers on all topics related to NLP for Financial Technology (FinTech) applications. Besides, one of our goals of this workshop is to foster collaboration between researchers and developers from computational linguistics and finance and economic areas. Original studies reporting joint work are therefore especially encouraged. Topics of interest include, but are not limited to: - Text-based Market Provisioning - NLP-based Investment Management - Crowdfunding Analysis with Text Data - Text-oriented Customer Preference Analysis - Insurance Application with Textual Information - NLP-based Know Your Customer (KYC) Approach - Applications or Systems for FinTech with NLP Methods CommitteesProgram Committee - Hiroki Sakaji - The University of Tokyo - Emmanuele Chersoni - The Hong Kong Polytechnic University - Kiyoshi Izumi - The University of Tokyo - Pablo Duboue - Textualization Software Ltd. - Juyeon Kang - Fortia Financial Solutions - Paulo Alves - Católica Porto Business School - Luciano Del Corro - Microsoft Research - Chuan-Ju Wang - Academia Sinica - Ismail El Maarouf - Imprevicible - Damir Cavar - Indiana University Organizing Committee - Chung-Chi Chen <http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2F~cjchen%2F&s…> - Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan - Hen-Hsen Huang <http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2F~hhhuang%2F&…> - Institute of Information Science, Academia Sinica, Taiwan - Hiroya Takamura <http://www.google.com/url?q=http%3A%2F%2Fwww.lr.pi.titech.ac.jp%2F~takamura…> - Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology, Japan - Hsin-Hsi Chen <http://www.google.com/url?q=http%3A%2F%2Fnlg.csie.ntu.edu.tw%2Fadvisor.php&…> - Department of Computer Science and Information Engineering, National Taiwan University, Taiwan Venue The conference will be held in conjunction with EMNLP-2022 on December 8, Abu Dhabi, United Arab Emirates Contact All questions about submissions should be emailed to finnlp(a)nlg.csie.ntu.edu.tw

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Onto4FAIR Workshop at SEMANTICS 2022: programme
by Cassia TROJAHN 07 Sep '22

07 Sep '22

** With apologies for multiple postings ** -------------- Onto4FAIR Workshop at SEMANTICS 2022 Programme -------------- 13 September 2022 - Hybrid event Programme: https://2022-eu.semantics.cc/programme Registration: https://2022-eu.semantics.cc/prices 09:45 CEST: Welcome from the organisers 09:50-10:20: Invited presentation *O'FAIRe: Ontology FAIRness Evaluator in the AgroPortal semantic resource repository* Emna Amdouni, Syphax Bouazzouni and Clement Jonquet 10:25-10:55 Short papers session *Building a community-based FAIR metadata schema for Brazilian agriculture and livestock trading data* Filipi Miranda Soares, Fernando Elias Corrêa, Luis Ferreira Pires, Luiz Olavo Bonino da Silva Santos, Debora Pignatari Drucker, Kelly Rosa Braghetto, Dilvan de Abreu Moreira, Alexandre Cláudio Botazzo Delbem, Roberto Fray da Silva, Celso Oviedo da Silva Lopes and Antonio Mauro Saraiva *Persistent Identifiers and their limitations in a dynamic Web* Marcos Da Silveira and Cédric Pruski 10:55-11:10: Break 11:10-12:10: Long papers session *FAIR Data APIs in the FAIR in vivo data sharing* Felix Schwagereit, Martin Romacker, Fabien Richard, Robert Trypuz, Thomas Liener and Olivier Roche *CALLISTO: A semantics-based platform for sharing FAIR scientific data* Thierry Louge, Emmanuel Courcelle, Michelle Sibilla, Nathalie Aussenac-Gilles, Christophe Marteau, Marianna Braza, Jean-Baptiste To, Laurent Orgogozo 12:10-13:00 Panel and discussion 13:00-14:00 Lunch -------------------------------- Best Onto4FAIR organisers

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Online free event Corpus & applied linguistics research 2022 - October 2022
by Pascual Pérez-Paredes 07 Sep '22

07 Sep '22

[Apologies for multiple postings] Corpus & applied linguistics research 2022 https://www.um.es/languagecorpora/corpus-applied-linguistics-research-2022/ Talks and dates: –Corpus linguistics and Second Language Acquisition Prof Tony McEnery, University of Lancaster October 5, 18:00 (Madrid time) / 17:00 (UK time) –Who’s in this corpus? Looking at language and identity with (and without) demographic metadata Dr Gavin Brookes, University of Lancaster October 12, 18:00 (Madrid time) / 17:00 (UK time) –Corpus linguistics and the discursive construction of migrants Dr Charlotte Taylor, University of Sussex October 19, 18:00 (Madrid time) / 17:00 (UK time) –A corpus-friendly analysis of fragmentary constructions in English Prof Javier Pérez Guerra, Universidad de Vigo October 26, 18:00 (Madrid time) / 17:00 (UK time) Event registration link: https://umurcia.zoom.us/webinar/register/WN_ey8fEpC3RkC7_vAUKEpAgg After registration, you’ll receive an email with the webinar link for the four talks. You can check out the 2021 talks here: https://www.youtube.com/channel/UCKjKIIQL6u1mXD2V9ZaT-_Q/featured This online event is organized by Universidad de Murcia and the E020-07 research group @languagecorpora (Lenguajes de especialidad, corpus lingüísticos y lingüística inglesa aplicada a la ingeniería del conocimiento). Prof Pascual Pérez-Paredes https://webs.um.es/pascualf/

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[DEADLINE EXTENSION: 14 SEPTEMBER 2022] Final Call for Papers: 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022) at EMNLP 2022
by Alberto Lavelli 07 Sep '22

07 Sep '22

[Apologies for multiple postings] *** FINAL CALL FOR PAPERS - EXTENDED DEADLINE*** EMNLP 2022 Workshop - The 13th International Workshop on Health Text Mining and Information Analysis (LOUHI 2022) https://louhi2022.fbk.eu/ Colocated with EMNLP 2022, Abu Dhabi (7 December 2022) but also accessible online EXTENDED SUBMISSION DEADLINE: 14 SEPTEMBER 2022 ** Call for Papers ** The 13th International Workshop on Health Text Mining and Information Analysis provides an interdisciplinary forum for researchers interested in automated processing of health documents. Health documents encompass textual content of electronic health records, clinical guidelines, spontaneous reports for pharmacovigilance, biomedical literature, health forums/blogs or any other type of health-related documents. The LOUHI workshop series fosters interactions between the Computational Linguistics, Medical Informatics, and Artificial Intelligence communities. It started in 2008 in Turku, Finland and has been organized 12 times: LOUHI 2010 was co-located with NAACL in Los Angeles, CA; LOUHI 2011 was co-located with Artificial Intelligence in Medicine (AIME) in Bled, Slovenia; LOUHI 2013 was held in Sydney, Australia during NICTA Techfest; LOUHI 2014 was co-located with EACL in Gothenburg, Sweden; LOUHI 2015 was co-located with EMNLP in Lisbon, Portugal; LOUHI 2016 was co-located with EMNLP in Austin, Texas; LOUHI 2017 was held in Sydney, Australia; LOUHI 2018 was co-located with EMNLP in Brussels, Belgium; LOUHI 2019 was co-located with EMNLP-IJCNLP in Hong Kong; LOUHI 2020 was co-located with EMNLP; and LOUHI 2021 was co-located with EACL. LOUHI 2022 is soliciting papers describing original research. Papers must describe substantial and completed work but could also focus on other contributions, such as a negative result, a software package or work in progress. The topics include, but are not limited to, the following language processing techniques and related areas: - Techniques supporting information extraction, e.g., named entity recognition, negation and uncertainty detection - Classification and text mining applications (e.g., diagnostic classifications such as ICD-10 and nursing intensity scores) and problems (e.g., handling of unbalanced data sets) - Text representation, including dealing with issues of data sparsity and dimensionality - Domain adaptation, e.g., adaptation of standard NLP tools (incl. tokenizers, PoS-taggers, etc) to the medical domain - Information fusion, i.e. integrating data from various sources, e.g. structured and narrative documentation - Unsupervised methods, including distributional semantics - Evaluation, gold/reference standard construction and annotation - Syntactic, semantic and pragmatic analysis of health documents - Anonymization / de-identification of health records and ethics - Supporting the development of medical terminologies and ontologies - Individualization of content, consumer health vocabularies, summarization and simplification of text - NLP for supporting documentation and decision making practices - Predictive modeling of adverse events, e.g., adverse drug events and hospital acquired infections - Terminology and information model standards (SNOMED CT, FHIR) for health text mining - Bridging gaps between formal ontology and biomedical NLP We welcome submissions on topics related to text mining of health documents, particularly emphasizing multidisciplinary aspects of health documentation and the interplay between nursing and medical sciences, information systems, computational linguistics and computer science. We also encourage submissions reporting work on low-resourced languages, addressing the challenges of data sparsity and language characteristic diversity. ** Important Dates ** Paper submission deadline: 14 September 2022 Notification to authors: October 9, 2022 Camera-ready papers due: October 16, 2022 Workshop: December 7, 2022 ** Submission Instructions ** Submissions go through a double-blind review process, where each submission is reviewed by three program committee members. Accepted papers will be presented by the authors in a regular workshop session either as a talk or a poster. All accepted papers will be published in the workshop proceedings. The submissions should be in PDF format and anonymized for review. All submissions must be written in English and follow the EMNLP 2022 style guidelines: https://2022.emnlp.org/calls/style-and-formatting/ * Long paper submission: up to 8 pages of content, plus unlimited pages for references and appendix; final versions of long papers: one additional page (so that reviewers' comments can be taken into account): up to 9 pages with unlimited pages for references * Short paper submission: up to 4 pages of content, plus unlimited pages for references and appendix; final version of short papers: up to 5 pages with unlimited pages for references Note that appendices are material that can be read, and include lemmas, formulas, proofs, and tables that are not critical to the reading and understanding of the paper. LOUHI 2022 will accept electronic submission via Softconf ( https://www.softconf.com/emnlp2022/louhi2022/). ** Invited Speaker ** TO BE ANNOUNCED Workshop Organizers: Alberto Lavelli (FBK, Trento, Italy) James Pustejovsky (Brandeis University, USA) Eben Holderness (Brandeis University, USA) Antonio Jimeno Yepes (RMIT University, Australia) Anne-Lyse Minard (University of Orleans, LLL CNRS, France) Fabio Rinaldi (Dalle Molle Institute for Artificial Intelligence Research - IDSIA, Switzerland & FBK, Trento, Italy) -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Ausschreibung: Förderung einer Open-Access-Publikation „Einführung in die Computerlinguistik“
by Josef Ruppenhofer 06 Sep '22

06 Sep '22

(Apologies if you end up receiving this multiple times. The text below appears only in German as it concerns a call for a German language book proposal.) Aufforderung zur Konzepteinreichung Zum Hintergrund Das letzte Jahrzehnt hat weltweit zahlreiche neue Aktivitäten und Entwicklungen auf dem Feld der Computerlinguistik erbracht. Nicht nur haben sich neue Ansätze und Methoden durchgesetzt; die Computerlinguistik als solche hat sich auch disziplinär stark ausdifferenziert. Dessen ungeachtet ist festzustellen, dass für Forschung und Lehre kein aktuelles deutschsprachiges Lehrbuch zur Verfügung steht, das ein umfassendes Bild des aktuellen Standes der Computerlinguistik zu zeichnen vermag. Die GSCL möchte deshalb dazu beitragen, diese Lücke zu füllen und hat beschlossen, Mittel zur Veröffentlichung eines umfassenden einführenden Lehrbuches oder einander ergänzender Lehrbücher zur Verfügung stellen. Was wird gefördert? Die Einführung soll sich vorrangig an den wissenschaftlichen Nachwuchs, insbesondere an Studierende in einem Bachelor-Studiengang, richten. Diese allgemeine Einführung in den Forschungsgegenstand sollte zudem die Trends der letzten Jahre thematisieren. Der Fokus der Publikation oder der Publikationen könnte beispielsweise auf anwendungsorientierte Fragestellungen der Informatik gelegt werden. Alternativ könnten auch Schwerpunktsetzungen in den Bereichen Linguistik oder Digital Humanities erfolgen. Die GSCL wird die finanziellen Mittel bereitstellen, die zur Deckung der Publikationskosten eines oder mehrerer sich ergänzender deutschsprachiger Open- Access-Bände zur Einführung in die Computerlinguistik in einem renommierten Verlag benötigt werden. Sofern die Autorinnen und Autoren bzw. Herausgeberinnen und Herausgeber die Publikation bei einem kostenfreien Non-Profit-Verlag bevorzugen, unterstützt die GSCL auch solche Vorhaben, kann die dadurch freiwerdenden finanziellen Mittel allerdings nicht umwidmen. Momentan steht die GSCL mit renommierten Verlagen in Kontakt, die Autorinnen und Autoren nicht nur ein breitgefächertes Distributionsnetz, sondern auch deutliche Mehrwerte für die Sichtbarkeit und Reichweite ihrer Forschung bieten. Die Einführung soll so konzipiert werden, dass sie sowohl in digitaler Fassung als PDF über Bibliotheken und Gedächtnisorganisationen barrierefrei zur Verfügung steht, als auch als Druckversion über den Buchhandel verbreitet und von Bibliotheken angeschafft werden kann. Die GSCL wird alle mit der Publikation anfallenden Kosten von professionellem Lektorat, Satz und dauerhafter Bereitstellung des Bandes übernehmen. Es steht zu erwarten, dass ein Zuschlag für die erfolgreichen Autorinnen und Autoren erhebliche Reputationsgewinne infolge der Schließung einer Lücke in der deutschsprachigen Computerlinguistik zur Folge haben wird. Weitere Anreize, insbesondere Honorare für das Verfassen von Texten oder die Herausgabe des Bandes werden von der GSCL explizit nicht ausgelobt. Zur Antragstellung Die GSCL bittet einschlägig erfahrene Wissenschaftlerinnen und Wissenschaftler um Einreichung eines Essays zur thematischen Ausrichtung einer Einführung. Die Einführung kann sowohl als monographische Schrift als auch als Sammelband konzipiert werden. Bis zum 15.12.2022 sind Autorinnen und Autoren oder Herausgeberinnen und Herausgeber aufgerufen, eine entsprechende kurze Konzeption einzureichen, welche die thematische Ausrichtung des Lehrbuches konzise skizziert und, im Falle von Sammelbänden, Einzelthemen und potenzielle Autorinnen und Autoren aufführt. Erwartet wird überdies ein straffer, aber umsetzbarer Zeitplan zur Durchführung der Publikation, die idealerweise innerhalb eines Jahres abzuschließen sein wird. Die Auswahl der Einreichungen wird bis zum 31.01.2023 erfolgen; entsprechende Vorschläge sind bitte unter dem Betreff „GSCL: Einführung in die Computerlinguistik“ an die Adresse informationsreferent(a)gscl.org zu richten -- ** * Dr. Josef Ruppenhofer * Leibniz-Institut für Deutsche Sprache * Archiv für Gesprochenes Deutsch *http://agd.ids-mannheim.de/ * * R5, 6-13 * 68161 Mannheim * +49 (0)621 / 1581-108 * **

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Job: research and teaching positions at the University of Hildesheim (Germany)
by Ekaterina Lapshinova-Koltunski 06 Sep '22

06 Sep '22

The Institute of Translation Studies and Specialised Communication (Linguistic and Information Science) at the University of Hildesheim is seeking to appoint two research associates (German salary of TV-L E 13 with 65% of working load each). The knowledge of German and English is required. A detailed description (in German), contact details, as well as the application link can be found here https://bewerbung.uni-hildesheim.de/jobposting/7889b5c712886e0a48fa0973a949… -- PD Dr. Ekaterina Lapshinova-Koltunski Sprachwissenschaft und Sprachtechnologie/ Language Science and Technology Universität des Saarlandes Building A2.2, Room 1.02 Campus, 66123 Saarbrücken Tel. +49 681 302 2563 E-Mail: e.lapshinova(a)mx.uni-saarland.de

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The 21st International Workshop on Treebanks and Linguistic Theories – FIRST CALL FOR PAPERS
by Kilian Evang 06 Sep '22

06 Sep '22

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

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Baltic HLT 2022: Call for Participation
by inguna.skadina＠lumii.lv 06 Sep '22

06 Sep '22

CALL FOR PARTICIPATION Baltic HLT 2022: The Tenth Baltic Conference "Human Language Technologies - the Baltic Perspective" October 6-7, 2022 Riga, Latvia Conference Web page: http://hlt2022.tilde.eu/ The Tenth International Conference "Human Language Technologies - the Baltic Perspective" will be held at the University of Latvia. The conference aims to provide a forum for the sharing of new ideas and recent advances in human language processing and to promote cooperation between the research communities of computer science and linguistics. The conference brings together scientists, developers, providers and users to discuss state-of-the-art of HLT in the Baltic sea states, to exchange information and to discuss problems, to find new synergies and to promote initiatives for international cooperation. Accepted papers: http://hlt2022.tilde.eu/node/26 REGISTRATION The early-bird registration closes on September 23, 2022. To register visit http://hlt2022.tilde.eu/registration. Contact: hlt2022(a)tilde.lv

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[CFP] Cambridge NLE - Special Issue - "Natural Language Processing Applications for Low-Resource Languages"
by Sivaji Bandyopadhyay 06 Sep '22

06 Sep '22

Dear Colleagues and Friends, We welcome submissions to the special issue of the Cambridge University Press journal <https://www.cambridge.org/core/journals/natural-language-engineering>Natural Language Engineering <https://www.cambridge.org/core/journals/natural-language-engineering> on Natural Language Processing Application on Low-Resource Languages. *Cambridge NLE - Special Issue* *Natural Language Processing Applications for Low-Resource Languages* *The deadline for submissions is November 30, 2022.* *Call for Papers* We welcome papers dealing with one or more of the following topics: ● *Machine Translation for Low-Resource Languages* ● *Caption Generation for Low-Resource Languages* ● *POS Tagging on Low-Resource Languages* ● *Optical character recognition and generation of Low-Resource Languages.* ● *Chatbot assistant for Low-Resource Languages* ● *Speech/Language recognition* ● *Regional music identification and classification* ● *Textual Entailment of Low-Resource Languages* ● *Face-to-Face Translation of Low-Resource Languages* ● *News/Social media analysis* ● *Text prediction and suggestion* ● *Sentiment analysis* ● *Text classification* *Important Dates* *Deadline for submissions*: November 30, 2022 *First-round author notification*: Between March 30, 2023 and April 30, 2023 *Submission of revised versions*: Between June 30, 2023 and July 30, 2023 *Second-round author notification (final)*: Between August 30, 2023 and September 30, 2023 *Camera-ready versions*: Between Oct 01, 2023 and Oct 30, 2023 *Submissions* Instructions for preparing your manuscript for the *Journal of Natural Language Engineering* are available <https://www.cambridge.org/core/journals/natural-language-engineering/inform…> here <https://www.cambridge.org/core/journals/natural-language-engineering/inform…> . Please submit your article through the NLE <https://mc.manuscriptcentral.com/nle>manuscript submission system <https://mc.manuscriptcentral.com/nle>. When submitting your manuscript, please select *Natural Language Processing Applications for Low-Resource Languages *in the field *Special Issue Designation.* *Guest Editors* *Dr. Partha Pakray, National Institute of Technology Silchar* *Prof. Alexander Gelbukh, Instituto Politécnico Nacional, Mexico City, Mexico* *Prof. Sivaji Bandyopadhyay, National Institute of Technology Silchar* Yours Cordially, Professor Sivaji Bandyopadhyay Guest Editors Director, National Institute of Technology(NIT) Silchar (Assam) Professor, Computer Science and Engineering Department NIT Silchar (Assam) Professor, Computer Science and Engineering Department (on lien) Jadavpur University, Kolkata - 700032 INDIA

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[CFP - due Sep 13] EMNLP Workshop on Text Simplification, Accessibility, and Readability
by Xu, Wei 05 Sep '22

05 Sep '22

Workshop on Text Simplification, Accessibility, and Readability (TSAR) at EMNLP 2022 website: https://taln.upf.edu/pages/tsar2022-ws Call for Papers The web provides an abundance of knowledge and information that can reach large populations. However, the way in which a text is written (vocabulary, syntax, or text organization/structure), or presented, can make it inaccessible for many people, especially for non-native speakers, people with low literacy, and people with some type of cognitive or linguistic impairments. The results of the Adult Literacy Survey (OECD, 2013) indicate that approximately 16.7% of the adult population (averaged over 24 highly-developed countries) requires lexical, 50% syntactic, and 89.4% conceptual simplification of everyday texts (Štajner, 2021). Research on automatic text simplification (TS), textual accessibility, and readability have the potential to improve the social inclusion of marginalized populations. These related research areas have attracted attention in the past ten years, as evidenced by the growing number of publications in NLP conferences. While only about 300 articles in Google Scholar mentioned TS in 2010, this number has increased to about 600 in 2015 and greater than 1000 in 2020 (Štajner, 2021). Recent research in automatic text simplification has mostly focused on proposing the use of methods derived from the deep learning paradigm (Glavaš and Štajner, 2015; Paetzold and Specia, 2016; Nisioi et al., 2017; Zhang and Lapata, 2017; Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021). However, there are many important aspects of automatic text simplification that need the attention of our community: the design of appropriate evaluation metrics, the development of context-aware simplification solutions, the creation of appropriate language resources to support research and evaluation, the deployment of simplification in real environments for real users, the study of discourse factors in text simplification, the identification of factors affecting the readability of a text, etc. To overcome those issues, there is a need for the collaboration of CL/NLP researchers, machine learning and deep learning researchers, UI/UX and Accessibility professionals, as well as public organizations representatives (Štajner, 2021). The proposed TSAR workshop builds upon the recent success of several regional workshops that covered a subset of our topics of interest, including READI Workshops at LREC 2022 and LREC 2022, SEPLN 2021 Workshop on Current Trends in Text Simplification (CTTS), and the SimpleText workshop at CLEF 2021, as well as the birds-of-a-feather events on Text Simplification at NAACL 2021 (over 50 participants) and ACL 2022. The TSAR workshop aims to foster collaboration among all parties interested in making information more accessible to all people. Through the two invited talks, a shared task on lexical simplification, the round table discussion, oral and poster presentations of novel research, we will discuss recent trends and developments in the area of automatic text simplification, text accessibility, automatic readability assessment, language resources and evaluation for text simplification, etc. Topics We invite contributions on the following topics (among others): * Lexical simplification; * Syntactic simplification; * Modular and end-to-end TS; * Sequence-to-sequence and zero-shot TS; * Controllable TS; * Text complexity assessment; * Complex word identification and lexical complexity prediction; * Corpora, lexical resources, and benchmarks for TS; * Evaluation of TS systems; * Domain-specific/adaptable TS (e.g. health, legal); * Other related topics (e.g. empirical and eye-tracking studies); * Assistive technologies for improving readability and comprehension including those going beyond text. * Text Simplification in Languages other than English * Multilingual TS * Readability Controlled MT Submissions We welcome two types of papers: long papers and short papers. Submissions should be made to the Softconf submission management system: https://softconf.com/emnlp2022/tsar. The papers should present novel research. The review will be double-blind and thus all submissions should be anonymized. Format: Paper submissions must use the official EMNLP template, which is available as an Overleaf template and also downloadable directly (Latex and Word) (see here: https://2022.emnlp.org/calls/style-and-formatting/). Authors may not modify these style files or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Long Papers: Long papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to eight (8) pages of content, plus unlimited pages of references. Final versions of long papers will be given one additional page of content (up to 9 pages), so that reviewers’ comments can be taken into account. Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and long papers presented as posters. Short Papers: Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Some kinds of short papers include: a small, focused contribution; a negative result; an opinion piece; an interesting application nugget Short papers may consist of up to four (4) pages of content, plus unlimited pages of references. Final versions of short papers will be given one additional page of content (up to 5 pages), so that reviewers' comments can be taken into account. Short papers will be presented orally or as posters as determined by the program committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and short papers presented as posters. Important Dates 13 September 2022 (extended): paper submission deadline 2 October 2022: acceptance notification deadline 16 October 2022: camera-ready deadline 8 December 2022: Workshop at EMNLP Proceedings All accepted papers will be included in the workshop proceedings and published in ACL Anthology. Extended versions of the best papers will be invited for a special issue of Frontiers in Artificial Intelligence focused on: applied research for TS and readability assessment in the context of TS. Organizers * Sanja Štajner, NLP Researcher, Germany * Horacio Saggion, Chair in Computer Science and Artificial Intelligence and Head of the LaSTUS Lab in the TALN-DTIC, Universitat Pompeu Fabra * Wei Xu, Assistant Professor, Georgia Institute of Technology * Marcos Zampieri, Assistant Professor, Rochester Institute of Technology * Matthew Shardlow, Senior Lecturer, Manchester Metropolitan University * Daniel Ferrés, Post-Doctoral Research Assistant, Universitat Pompeu Fabra * Kai North, Ph.D. student, Rochester Institute of Technology * Kim Cheng Sheang, PhD student, Universitat Pompeu Fabra

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Discours Journal, Issue 32 (deadline 10/15/2022), Publication June 2023
by Nicolas Hernandez 05 Sep '22

05 Sep '22

Discours Journal, Issue 32, Publication June 2023 Deadline: October 15th 2022 Coordinators: Lydia-Mai Ho-Dac and Nicolas Hernandez Dear colleagues, we are inviting submissions for the next issue of Discours, to appear in June 2023. THE DISCOURS JOURNAL Discours is an international and interdisciplinary peer-reviewed e-journal, which publishes two issues a year in open access. The journal is intended as a forum for exchanging and comparing data, analyses and opinions for all linguists, psycholinguists and computer linguists working in fields involving the description, comprehension, formalization and processing of text organization. EDITORIAL LINE It focuses on the following topics (not limited to): discourse structure and discursive markers, discourse relations, coherence, cohesion, linearization, indexation, information structure, word order, discourse comprehension and production, and other related topics. For this issue, we are particularly interested in studies that investigate the following topics: - discourse and dialogue-level annotated corpora (e.g. rhetorical and argumentative structures, dialogue acts, reference chains, enumerative structures, document structures, thematic segmentation) - studies on discourse and dialogue structures in (very) large corpora - tools and methods in Natural Language Processing and Computational Linguistics for discourse and dialogue-level processing - exploitation of discourse or dialogue-level processing in end-user applications (e.g. human language technology, education, health, risk management) SUBMISSION Papers (in English or French) should be sent to discours(a)univ-nantes.fr Full instructions can be found on https://journals.openedition.org/discours/224 IMPORTANT DATES - Manuscript submission: October 15th 2022 - Final decision of the editorial board: First quarter of 2023 - Online publication: June 2023 SCIENTIFIC COMMITTEE - Scientific Committee https://journals.openedition.org/discours/122 - Referees outside the Scientific Committee https://journals.openedition.org/discours/8977 -- Dr. Nicolas Hernandez Associate Professor (Maître de Conférences) Nantes Université - LS2N UMR6004 https://nicolashernandez.github.io/ <https://www.google.com/url?q=https%3A%2F%2Fnicolashernandez.github.io%2F&sa…> +33 (0)2 51 12 53 94 +33 (0)2 40 30 60 67 https://sciences-techniques.univ-nantes.fr/programme-du-m1-atal

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[CFP] Special Issue on "Information Extraction and Language Discourse Processing" of Journal Information (ISSN 2078-2489)
by Jennifer D'Souza 05 Sep '22

05 Sep '22

Dear colleagues and friends, *We invite submissions to a special issue on "Information Extraction and Language Discourse Processing" of journal Information <https://www.mdpi.com/journal/information> (ISSN 2078-2489).* *Special Issue Information* This Special Issue seeks novel research reports on the spectrum that blends information extraction and language discourse processing research in diverse communities. The editors welcome submissions along various dimensions derived from the nature of the extraction task, the advanced neural techniques used for extraction, the variety of input resources exploited, and the type of output produced. Quantitative, qualitative, and mixed methods studies are welcome, as are case studies and experience reports if they describe an impactful application at a scale that delivers useful lessons to the journal readership. Topics of interest include (but are not limited to): - Knowledge base population with discourse-centric information extraction (IE) - Coreference resolution and its impact on discourse-centric IE - Relationship extraction leveraging linguistic discourse - Template filling - Impact of pragmatics or rhetorics on information extraction - Discourse-centric IE at scale - Intelligent and novel assessment models of discourse-centric IE - Survey of discourse-centric IE in natural language processing (NLP) - Challenges implementing discourse-centric IE in real-world scenarios - Modeling domains using discourse-centric IE - Human–AI hybrid systems for learning discourse and IE *Submission Instructions* https://www.mdpi.com/journal/information/special_issues/WYS02U2GTD *Deadline for manuscript submissions* Submissions to the SI will be accepted and published on a rolling basis until the close of the issue on 10 December 2022 Yours cordially, Dr. Jennifer D'Souza Prof. Dr. Chengzhi Zhang *Guest Editors*

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Open call for tenders - Corpus collection + Use case study for a technology-based scientific translation service
by susanna.fiorini＠operas-eu.org 05 Sep '22

05 Sep '22

***Translations & Open Science calls for tenders*** The OPERAS Research Infrastructure launches a series of calls for tenders in order to lay the foundation of a technology-based scientific translation service to foster multilingualism in scholarly communication and thus help to remove language barriers according to Open Science principles. The first two calls are now open (submission deadline: 7 October 2022) 1. Mapping and collection of scientific bilingual corpora: identifying, collecting and preparing corpora of bilingual scientific texts which will serve as training dataset for specialised translation engines, source data for terminology extraction, and translation memory creation Link to call 1: https://www.operas-eu.org/mapping-and-collection-of-scientific-bilingual-co… 2. Use case study for a technology-based scientific translation service: drafting an overview of the current translation practices and challenges in scholarly communication and defining the use cases of a technology-based scientific translation service (expected users and usage scenarios, features, quality requirements, editorial and technical workflows) Link to call 2: https://www.operas-eu.org/use-case-study-for-a-technology-based-scientific-… Please note that two additional calls will be released in the coming months in the following areas: Machine translation output evaluation and Roadmap and budget projections. For any information about ongoing and future calls, please feel free to contact Susanna Fiorini at susanna.fiorini(a)operas-eu.org

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2nd CfP: Special Issue on Trends in Social Media Analysis to Address Fake News, Hate Speech, or Bias (Springer Datenbank-Spektrum)
by Wiegand, Michael 05 Sep '22

05 Sep '22

[Apologies if you receive multiple copies of this CfP] Special Issue on Trends in Social Media Analysis to Address Fake News, Hate Speech, or Bias ========================================================== Springer Datenbank-Spektrum https://www.springer.com/13222 ========================================================== Social media has many benefits: from staying in contact with close and not-so-close friends, over exercising the right to voice one's opinion, to communicating with many like-minded people all over the world and providing an additional channel for information exchange. Unfortunately, social media has also been abused and misused ever since its inception. Hate speech is prevalent on many sites alienating trusting users and hindering fruitful discussions. Fake news are distributed through social media platforms with dangerous effects. But even without malicious intention, social media can be misleading due to various biases in the system. Topics of Interest ================== In this special issue of Datenbank-Spektrum, we will explore and present current trends in the field of automatically detecting and managing hate speech, fake news, bias and other toxic content in the context of social media. We welcome original contributions including technical papers, application-oriented papers, case studies, survey papers and position papers. Topics of interest include, but are not limited to: - Automatic detection of hate speech - Methods to improve online discussions - Trust and reputation of social media actors - Identification of fake news - Countermeasures to fight fake news - Detection and/or mitigation of bias - Dealing with bias in training data - Content analysis and NLP - Opinion mining and sentiment analysis on social media - Information extraction and retrieval on social media - Information diffusion within social networks - Ethical and legal aspects Submission Guidelines ==================== Paper format: 8-10 pages, double-column (cf. author guidelines at https://www.springer.com/13222). We welcome contributions in both German and English through the Springer submission system https://www.editorialmanager.com/dasp/ Deadline for submissions: Oct. 1st, 2022; Publication of special issue: DASP-1-2023 (March 2023) Guest editors ============= Feel free to contact the guest editors in case you have questions. Ralf Krestel, ZBW & CAU Kiel, r.krestel(a)zbw.eu Udo Kruschwitz, Universität Regensburg, udo.kruschwitz(a)ur.de Michael Wiegand, Universität Klagenfurt, michael.wiegand(a)aau.at

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Call for bids to host EACL 2024
by Georg Rehm 04 Sep '22

04 Sep '22

*CALL FOR BIDS TO HOST EACL 2024* The European Chapter of the Association for Computational Linguistics (EACL) invites expressions of interest to host the 2024 EACL conference, to be held in Europe, the Middle East or Africa (EMEA) in Spring (preferably April/May) 2024. The 2024 conference will be the 18th meeting of the EACL. *At this stage, we seek draft proposals from prospective bidders.* These will be evaluated and promising bidders will be asked to provide additional information for the final selection. The EACL Board will appoint the general chair for the conference, the programme committee co- chairs, and all other chairs (tutorial co-chairs, workshop co-chairs, etc.), except for the local arrangements chair. Draft bid proposals (due *October 15th, 2022*) should include information on all of the following items: 1. *Proposed dates:* in Spring (preferably April/May) 2024 2. *Location:* city and conference venue. Indicate whether the conference would be held at a university, hotel or convention center. Bear in mind that EACL is growing. While Gothenburg (EACL 2014) had 520 registered participants, Valencia (EACL 2017, the last Conference held in person) had 680 registered participants. So please suggest a location that could host 800+ people for plenary sessions, plus at least 4 conference rooms hosting parallel sessions (200-250 people each), a large poster or exhibit room; 11 rooms on the workshops/tutorials days among which at least two host 200 people and the others 60 persons; and rooms for demos, small meetings and registration 3. *Local arrangements team:* local chair/co-chair, committee, volunteer labour (e.g. students), registration handling. The local arrangements team will be responsible for activities such as arranging meeting rooms, equipment, refreshments, accommodation, on-site registration, participant internet access, the reception, the conference dinner, and working with the other chairs and the EACL Board to develop the budget and registration materials. Indicate whether a professional conference organizer (PCO) will be involved in the organization. Also, indicate whether any national/regional Computational Linguistics association would be on board of the local organization *The final bids will also include detailed information on the following items:* 1. Computing/wifi/audiovisual: whether there will be desktop/laptop in conference rooms and high-speed wireless Internet access, what the audiovisual facilities are 2. Printing of conference booklet 3. Food catering including breaks, reception, poster sessions and conference dinner 4. Accommodation options at the venue, including low-cost student accommodation 5. Travel alternatives to the venue from Europe and beyond 6. Social events including infrastructure for banquet/other social event and reception 7. Potential for local sponsorships 8. Opportunities for co-location with other meetings 9. The costs related to all of the above items, which should be indicated in the expenses spreadsheet (template provided below). Proposals will be evaluated with respect to a number of criteria (unordered): - Adequacy of conference and exhibit facilities for the anticipated number of registrants - Adequacy of accommodations and food services (in a range of price categories) and proximity to the conference facilities - Adequacy of expenses projections and expected surplus - Appropriateness of proposed dates - Geographical and national balance with regard to previous EACL and ACL conferences, and other major Natural Language Processing conferences held in EMEA - Co-location with national/regional conferences - Experience of the local arrangements team - Local CL community support - Local government and industry support - Appropriateness of expected registration fees - Accessibility of proposed site To help with your bid, you can check: - Bid Guidelines <https://wiki.coli.uni-saarland.de/eacl/Bid%20guidelines?highlight=%28bids%29> - EACL 17 report <http://aclweb.org/adminwiki/index.php?title=2017Q3_Reports:_EACL_2017> Reports, lessons learnt and successful bids from previous years: - Previous Calls for Conference Bids <https://wiki.coli.uni-saarland.de/eacl/Call%20for%20conference%20bids> The EACL conference handbook: - EACL conference handbook <https://wiki.coli.uni-saarland.de/eacl/EACL_conference_handbook> Please send your expressions of interest electronically to the EACL Chair-elect: Roberto Basili, University of Rome, Tor Vergata, Italy – basili(a)info.uniroma2.it The EACL board encourages groups who intend to submit a proposal to ask questions about how to prepare the proposal. *Important Dates:* - *October 15th, 2022:* Deadline for draft bids - *October 31st, 2022:* Feedback to bidders and announcement of shortlist of bidders - *December 22nd, 2022:* Deadline for final bids - *January 15th, 2023:* Final bid chosen - *April or May, 2024:* EACL Conference Best regards, Georg Rehm – Secretary of EACL – -- *Prof. Dr. Georg Rehm <http://georg-re.hm/>* Principal Researcher and Research Fellow DFKI GmbH <http://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Gabriël Clemens Amtsgericht Kaiserslautern, HRB 2313

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2nd Call for Participation - EmoThreat: Emotions & Threat Detection in Urdu - CICLing 2022 track @FIRE 2022
by Maaz Amjad 04 Sep '22

04 Sep '22

*[Apologies for cross-posting]* *EmoThreat: Emotions & Threat Detection in Urdu* CICLing 2022 track @FIRE 2022* Website: Link <https://sites.google.com/view/multi-label-emotionsfire-task/home> Registration is now open: Link <https://docs.google.com/forms/d/e/1FAIpQLSfWSPSM5wlgkucnhq3lDEsnWdaitwfq2EF…> The training set is now available. Participants are invited to publish Working Notes of FIRE 2022* *Task Description* With the growth of the spread and importance of social media platforms, the effect of their misuse became more and more impactful. In particular, numerous posts contain abusive language towards certain users and hence worsen users’ experience from communication via such platforms, while other posts contain actual threats that potentially put platform users in danger. The Urdu language has more than 230 million speakers worldwide, with vast representation on social networks and digital media. We encourage participants to participate in *EmoThreat: Emotion and Threat detection in Urdu (Nastaliq)* *Task A: Multi-label emotion classification in Urdu *Link <https://sites.google.com/view/multi-label-emotionsfire-task/home/task-a> Task A requires you to classify the tweet as one, or more of the six basic emotions (plus neutral), which is the best representation of the emotion of the person tweeting. *Task B: Threatening Language Detection Task in Urdu *Link <https://sites.google.com/view/multi-label-emotionsfire-task/home/task-b> Task B focuses on detecting Threatening language using Twitter tweets in Urdu language. This is a binary classification task in which participating systems are required to classify tweets into two classes, namely: Threatening and Non-Threatening. *Note: Participants in this year’s shared task can choose to participate in either one or both subtasks. Please visit the website for more information.* *Important Dates* 30th June – Training data release 25th July – Codalab submission link release (Task A) 7th September - Test set release (Task B) 20th September – Run submission deadline 30th September – Results Declared 12th October - Working Note submission 26th October - Review Notifications 2nd November – Camera Ready Due 9th - 13th December - FIRE 2022 (Online Event) *Organizers* Sabur Butt, Instituto Politécnico Nacional, Mexico Maaz Amjad, Instituto Politécnico Nacional, Mexico Noman Ashraf, Dana-Farber Cancer Institute, Harvard Medical School, United States Fazlourrahman Balouchzahi, Instituto Politécnico Nacional, Mexico Rajesh Sharma, University of Tartu, Estonia Grigori Sidorov, Instituto Politécnico Nacional, Mexico Alexander Gelbukh, Instituto Politécnico Nacional, Mexico *Contact* Email: emothreat2022(a)gmail.com Google-group: Link <https://groups.google.com/g/emothreat> *FIRE 2022: Link <http://fire.irsi.res.in/fire/2022/home> -- *With my best regards,* *Maaz Amjad**, PhD* ================================================ *LinkedIn <http://www.linkedin.com/in/maazmjad> **Twitter <https://twitter.com/maazamjad13?lang=en> * *Skype: maaz.amjad72Mobile: +5215567332662* *Email: h.maazamjad(a)gmail.com <h.maazamjad(a)gmail.com>*

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[Final Deadline Extension] First Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022
by Tirthankar Ghosal 03 Sep '22

03 Sep '22

*** First Workshop on Information Extraction from Scientific Publications ( WIESP) at AACL-IJCNLP 2022 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/ *** Twitter: https://twitter.com/wiesp_nlp The number of scientific papers published per year has exploded in recent years. Indexing the article's full text in search engines helps discover and retrieve vital scientific information to continue building on the shoulders of giants, informing policy, and making evidence-based decisions. Nevertheless, it is difficult to navigate this ocean of data. Using simple string matching has substantial limitations: human language is ambiguous in nature, context matters, and we frequently use the same word and acronyms to represent a multitude of different meanings. Extracting structured and semantically relevant information from scientific publications (e.g., named-entity recognition, summarization, citation intention, linkage to knowledge graphs) allows for better selection and filter articles. The First Workshop on Information Extraction from Scientific Publications ( WIESP) will create the necessary forum to foster discussion and research using Natural Language Processing and Machine Learning. WIESPwould specifically focus on topics related to information extraction from scientific publications, including (but not limited to): - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata - Information extraction from COVID-19 articles to inform public health policy In addition to research paper presentations, WIESP would also feature keynote talks, a panel discussion, and a shared task. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. ***Call for Papers*** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. ***Position papers*** will give voice to authors who wish to take a position on a topic listed above or the field of scholarly information extraction. Submissions need not present original work and should be two to four pages in length, including title, text, figures and tables, and references. ***Demo papers*** should be no more than four (4) pages in length, including references, and should describe implemented systems that are of relevance to the theme of the workshop. Authors of demo papers should be willing to present a demo of their system during WIESP at AACL-IJCNLP 2022. ***Extended Abstracts*** We welcome submissions of extended abstracts (2 pages max) related to the research topics mentioned above. Submissions may include previously published results, late-breaking results, or a description of ongoing projects in the broad field of information extraction and mining from scientific publications. Extended abstracts can also summarize existing work, work in progress, or a collection of works under a unified theme (e.g., a series of closely related papers that build on each other or tackle a common problem). ***Shared Task: Detecting Entities in the Astrophysics Literature (DEAL)*** A good amount of astrophysics research makes use of data coming from missions and facilities such as ground observatories in remote locations or space telescopes, as well as digital archives that hold large amounts of observed and simulated data. These missions and facilities are frequently named after historical figures or use some ingenious acronym which, unfortunately, can be easily confused when searching for them in the literature via simple string matching. For instance, Planck can refer to the person, the mission, the constant, or several institutions. Automatically recognizing entities such as missions or facilities would help tackle this word sense disambiguation problem. The shared task consists of Named Entity Recognition (NER) on samples of text extracted from astrophysics publications. The labels were created by domain experts and designed to identify entities of interest to the astrophysics community. They range from simple to detect (ex: URLs) to highly unstructured (ex: Formula), and from useful to researchers (ex: Telescope) to more useful to archivists and administrators (ex: Grant). Overall, 31 different labels are included, and their distribution is highly unbalanced (ex: ~100x more Citations than Proposals). Submissions will be scored using both the CoNLL-2000 shared task seqeval F1-Score at the entity level and scikit-learn's Matthews correlation coefficient method at the token level. We also encourage authors to propose their own evaluation metrics. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2022/SharedTasks Participants (individuals or groups) will have the opportunity to present their findings during the workshop and write a short paper. The best performant or interesting approaches might be invited to further collaborate with the NASA Astrophysical Data System ( https://ui.adsabs.harvard.edu/). ***Important Dates*** - Paper/Abstract Submission Deadline: September 12, 2022 (Final extension) - Notification of workshop paper/abstract acceptance: October 7, 2022 - Camera-ready Submission Deadline: October 24, 2022 - Workshop: November 20, 2021 (online) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ***Submission Website and Format*** Submission Link: https://softconf.com/aacl2022/WIESP/ Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. Position papers, Demo papers, and Extended Abstracts need not be anonymized. The authors will present accepted papers at the workshop either as a talk or a poster. All accepted papers will be published in the workshop proceedings. We follow the same policies as AACL-IJCNLP 2022 regarding preprints and double submissions. The anonymity period for WIESP 2022 is from July 15 to September 25. ***Organizers*** - Tirthankar Ghosal, Charles University, CZ - Sergi Blanco-Cuaresma, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA - Robert M. Patton, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tirthankar Ghosal Researcher at UFAL, Charles University, CZ https://member.acm.org/~tghosal +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++

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1st CFP: Crowdsourcing & Human Computation Track @TheWebConf 2023
by Matt Lease 02 Sep '22

02 Sep '22

https://www2023.thewebconf.org/calls/research-tracks/crowdsourcing-hc/ We invite research contributions to the Crowdsourcing and Human Computation track at the 32nd edition of The Web Conference series (formerly known as WWW), to be hosted at Austin, TX, US, on April 30 - May 4, 2023 ( https://www2023.thewebconf.org/ <https://www2023.thewebconf.org/>) Fifteen years ago, a 2007 WWW paper entitled “Internet-Scale Collection of Human-Reviewed Data <https://dl.acm.org/doi/abs/10.1145/1242572.1242604>” was one of several forerunners to signal a new, emerging area of research on Human Computation and Crowdsourcing (HCOMP). Growing excitement and work in this new area would eventually lead to four years of HCOMP workshops across KDD and AAAI (2009-2012), a new annual AAAI HCOMP conference <https://www.humancomputation.com/> (2013 onward), and a new, annual HCOMP track at the WebConference (2014 onward). Today, the world and research landscape looks remarkably different than it did in 2007, with the Web playing a central role in orchestrating such advances. Of particular note, modern neural models have transformed AI capabilities, along with far greater ubiquity and significance of AI systems now in practical deployment around the world. As one effect of this, the commoditization and democratization of AI models today has also brought a new focus to “data-centric AI” in which AI models can succeed or fail based on the quality of underlying data and human annotations. The nature of human-AI interactions are also continually evolving in response to AI advances, posing an ever-changing frontier of new challenges for researchers and practitioners. Furthermore, the growth of AI power has brought a commensurate recognition of the need for responsible AI systems that are fair, accountable, transparent, and trustworthy – across diverse, global communities of human stakeholders who interact with or are impacted by AI systems. Given the central role of HCOMP in AI (creating reliable training and benchmark annotations, as well as enabling hybrid, human-in-the-loop systems), continuing innovation in HCOMP remains a key challenge for the further advancement of AI. HCOMP itself has made tremendous strides forward in the past fifteen years, yet many research challenges remain. *We invite AI, HCI, and related contributions that advances the broad spectrum of crowdsourcing and human computation (HCOMP) in the scope of the Web*: - algorithms, analysis, applications, methods, systems, and techniques - conceptual, empirical, theoretical, and mixed-methods - spanning fields (e.g, psychology, sociology, economics, ethics, etc.) - system-centered, human-centered, and hybrid More specifically, we invite work addressing contemporary HCOMP challenges including (but not limited to) the following Web-related themes: - Fundamental research challenges in Web-based HCOMP - *Data collection, generation, labeling, and cleaning*: data-centric AI; human and AI-assisted annotation; annotator agreement, aggregation, and modeling; annotation subjectivity and ambiguity, data excellence; human-in-the-loop data augmentation, generation, and adversarial attacks; label noise and bias detection and reduction; task decomposition, task and workflow design, novel modalities for input acquisition, etc. - *Human-centered explainability *: algorithmic/model explanations, interpretability, and transparency to enhance human success in using AI in decision-making, model and data debugging, task performance, trust in AI systems, appropriate reliance, etc. (please also read the CFP of the “Fairness, Accountability, Transparency and Ethics” track) - *Human-centered studies*: collaborative systems, computer-supported cooperative work, human-computer interaction, human factors, interaction design, usability, user experience, etc. - *Resources, benchmarking, reproducibility*: New resources for the community (e.g., datasets, open source toolkits, etc.), benchmarking studies comparing state of the art methods, and/or reproducibility studies of prior work. - *Addressing bias and diversity in annotation and human computation*: Methods and algorithms to identify and mitigate biases in annotations; bias-aware annotation workflows; diversity in annotators and workers, data labeling, and hybrid, human-in-the-loop systems; downstream effects of annotator diversity on bias and fairness measures; impact on evaluation of various systems (e.g. information retrieval systems, recommender systems, etc.); ethics and fairness of HCOMP practices - Underlying workforce powering Web-based HCOMP - *Social and economic impacts of human computation and crowdsourcing*: societal and methodological challenges around crowdsourcing labor and workforces; inequalities in access and representation in crowdsourcing workforces; platform affordances and economic impact - *Supporting HCOMP workers*: collective action; design activism; fair work <https://fair.work/en/fw/homepage/>; ghost work, heteromation, and invisible work; human computation, digital colonialism, and the global south; impact sourcing <https://en.wikipedia.org/wiki/Impact_sourcing> and responsible sourcing <https://partnershiponai.org/workstream/responsible-sourcing/>; regulation; worker empowerment, organization, protection and wellness; and workforce diversity, equity, and inclusion, etc. - *Future of work*: AI-assisted human coordination, team formation and work, distributed work, freelancer economy, hybrid, human+AI work and complementarity, etc. - Web-based HCOMP systems, frameworks, or architectures - *Crowd-powered systems*: data management, marketplace design and sustainability, platforms, scalability, security, privacy, programming languages, real-time crowdsourcing, etc. - *Human-in-the-loop architectures*: decision support; human-AI collaboration, interaction, and teaming; hybrid systems; mixed-initiative design, etc. - *Crowdsourcing*: citizen science, collective intelligence, crowd computing, crowd creativity, crowdfunding, crowd ideation, crowd intelligence, crowd sensing, crowdsourcing contests, crowd phenomena, crowd science, incentive schemes, gamification, human flesh search, open innovation, peer production, prediction markets, reputation systems, social web, wisdom of crowds, etc. - *Human computation*: decision-theoretic and game-theoretic design, design patterns, human algorithm design and complexity, mechanism and incentive design, etc. - Web-based Applications of HCOMP - *Machine learning for HCOMP*: aggregation, answer fusion, annotator and user modeling, quality assurance, optimization, task assignment and recommendation, truth inference, etc. - *New Applications and Services*: delivering beyond state-of-the-art AI capabilities and enhanced services through human computation and human-in-the-loop systems. Authors should consult the conference’s main Research Track CFP <https://www2023.thewebconf.org/calls/research-tracks/> to ensure their submissions are aligned with broader conference expectations, scope, and theme: “Web Research with Openness, Fairness and Reproducibility”. The CFP also details submission guidelines, relevant dates, and important policies. Review criteria <https://www.humancomputation.com/2016/review-criteria.html> will include considerations typical of those in past years of this track and the AAAI HCOMP conference. Submissions that are out of scope or unresponsive to the call above will be rejected early during the reviewing process (“desk rejected”) with minimal feedback.This includes submissions that: - merely apply HCOMP methods in standard, previously known ways, without novel contributions to advance the methodology itself; - do not relate to the web or web-based human computation platforms, methods, or applications. In case you have doubts whether your paper fits the scope of this track, please contact the track chairs hcomp-webconf2023(a)easychair.org Important dates - Abstract submission: October 6, 2022. This is compulsory for all papers. - Full papers submission: October 13, 2022 - Rebuttal: December 15 - 22, 2022 - Notification: January 25, 2023 Track chairs: - Ujwal Gadiraju <http://ujwalgadiraju.com/>(Delft University of Technology) - Matthew Lease <https://www.ischool.utexas.edu/~ml/>(University of Texas at Austin and Amazon) - Besmira Nushi <https://besmiranushi.com/>(Microsoft Research) *Senior Program Committee & Program Committee*: Stay Tuned! -- Matt Lease Professor School of Information University of Texas at Austin Voice: (512) 471-9350 · Fax: (512) 471-3971 · Office: UTA 5.536 http://www.ischool.utexas.edu/~ml

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2nd call: EAMT Sponsorship of Activities (Students' edition) for 2023 (deadline 07/10/2022)
by Carol Scarton 02 Sep '22

02 Sep '22

************************************************************** EAMT Sponsorship of Activities (Students' edition) for 2023 Deadline: 07/10/2022 ************************************************************** == Call for Proposals == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is for the third consecutive year launching a call for proposals to fund MT-related activities led by students during 2023. == Purpose of the Call == The EAMT is planning to support various MT activities such as shared tasks, workshops, teaching and awareness initiatives, open-source initiatives, dataset creation and small research and development projects by its current student members. The EAMT particularly welcomes proposals from students in all levels of education, including undergraduates, postgraduates and PhD students. This call will also give priority to projects that extend work done during the Machine Translation Marathon 2022 ( https://ufal.mff.cuni.cz/events/mt-marathon-2022), being held in Prague, Czech Republic from 5 to 10 September 2022. Topics of interest include, but are not limited to: - Recent developments in MT research. - MT evaluation methodology, metrics and results. - Launch of MT-specific evaluation campaigns. - New or prospective commercial users of MT technology. - MT environments (workflow, support tools, etc.). - Interaction between users and MT systems. - MT combined with other technologies (translation memories, speech translation, cross-language information retrieval, multilingual text categorization, multilingual text summarization, etc.). - MT for less-resourced languages: development, usage, etc. - MT in the social internet: new uses, new modes of development. - MT for crisis management. - Training events on MT, particularly on recent developments. - Events to disseminate MT, especially to the wider public (including shared tasks). - Creation of datasets for MT research. All proposals will be screened by a review committee that consists of EAMT Executive Committee members and possibly a few appointed external experts if necessary. == Submission information == * Eligibility requirements * In order to qualify for funding, the individual making the proposal must be a confirmed student member of the EAMT at submission time (Membership information: http://www.eamt.org/membership.php). Applicants will also need formal approval from their supervisor. It is important to emphasise that projects are expected to be student-led. Therefore, although we welcome projects showing collaboration with industry and other academic partners, the project is expected to directly benefit the students own career and/or project. * Selection criteria * - The proposed activity should be of direct interest to the MT community at large: researchers, developers, vendors, translators and/or users of MT technologies. - The proposal shall clearly describe the purpose of the project and include measurable mid-project milestones for which a report should be submitted (see below). - Preference will be given to projects which by nature will involve and be beneficial for several persons, as for instance conferences, seminars, workshops, shared tasks and tutorials. - Proposals with a significant, clearly identified impact on the MT community (through the development, dissemination or use of project results) are those most likely to be accepted. - Proposals that bring together different aspects of MT will be especially valued. - The proposal should be clearly justified as being technically and/or scientifically sound. - The quality and efficiency of the implementation of the proposal will be evaluated. - The budget should be adequate for the proposed objectives and the actual implementation of the activity. == Budget == EAMT anticipates funding several proposals for various activities. The total foreseen EAMT Budget for this call is around €4,000 to cover all granted projects. The maximum amount EAMT can grant for a single project will be €4,000. During the negotiation stage, budget adjustments may be required by the EAMT executive committee. This means that the EAMT may only offer to partially fund a project. A project being granted financial support by EAMT according to this call will receive 50% of the granted amount at the start of the project. The proposer will receive the remaining 50% when the mid-project progress report has been received by the EAMT Secretary and substantiates that the mid-project milestones are met, and furthermore provided that the proposer is still a current member of the EAMT. == Contact for enquiries == Carolina Scarton EAMT Secretary e-mail: c.scarton(a)sheffield.ac.uk == Submission procedure == * Overview * Candidates should submit their proposals as a single PDF file, written in English, that is composed of the elements described below. - Proposal description: 2-page maximum - Person/organisation experience: 1-page maximum - Budget and project planning overview: 1-page maximum - Supervisor's letter of approval: 1-page maximum Proposals should be submitted no later than the deadline (see Important Dates below) through EasyChair: https://easychair.org/conferences/?conf=eamt2023 (Submission type: Project Proposals). Authors are encouraged to use the template available at http://www.eamt.org/eamt2020-projects.zip. Templates for both LaTeX and Microsoft Word are available. * Detailed description of sections of the proposal * 1-) Proposal summary (two pages) in English - Complete contact information of the candidate. - A clear and detailed description of the proposed event or activity. - A statement on why this event or activity would be helpful for the community and the development of your studies (you should establish a clear connection between this activity and your degree project). - A statement justifying why EAMT should support this event or activity. 2-) Experience of the proposing person in the field (up to one page) - It may include a list of experience and related skills of the participants of the team (your team may be composed by your supervisors and potential collaborators). 3-) Budget and project planning overview (up to one page) - A breakdown of the costs estimated for the entire activity or event. - Clear milestones and deliverables must be indicated. - An identification of the support requested from EAMT and possible other supporting funds. 4-) Supervisor's letter of approval (up to one page) - A letter from your supervisor stating that they approve your project submission and that they will act as fund manager if needed (please note that EAMT needs to make payments into a research account set up at your institution). == Important Dates == - Circulation of the Call: August 1, 2022 - Submission deadline for proposals: October 7, 2022, 23:59 CEST - Acceptance notifications and negotiations to start on: December 7, 2022 In case of acceptance: - Mid-project progress report due: June 30, 2023, 23:59 CEST - Final report and deliverables due: January 31, 2024, 23:59 CET == Additional provisions == - Only complete proposals will be reviewed. - All information submitted with proposals will be regarded as confidential and will only be used in the context of this project. - Following the recommendations from the reviewers and EAMT executive members, projects may be approved with amendments that will be discussed during the negotiation stage. - The funded projects may be required to report at the EAMT events (e.g. Poster at the EAMT conference, a short progress report for the General assembly, etc.). If you think you will not have funds for attending the EAMT event you can add travel costs to your budget. - The EAMT should be acknowledged in all materials related to the project, activity or initiative. == No obligation to award the proposal == The EAMT shall be under no obligation to fund the proposals pursuant to this call for proposals. EAMT shall not be liable for any compensation with respect to candidates whose proposals have not been accepted. Nor shall it be liable in the event of it deciding not to award the proposal. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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2nd call: EAMT Sponsorship of Activities for 2023 (deadline 07/10/2022)
by Carol Scarton 02 Sep '22

02 Sep '22

************************************************************** EAMT Sponsorship of Activities for 2023 Deadline: 07/10/2022 ************************************************************** == Call for Proposals == The European Association for Machine Translation (EAMT) is an organisation that serves the growing community of people interested in MT and translation tools, including translators, users, developers, and researchers of this increasingly viable technology. As part of its commitment to promote research, development and awareness about translation technologies, the EAMT is for the eleventh consecutive year launching a call for proposals to fund MT-related activities during 2023. == Purpose of the Call == The EAMT is planning to support various MT activities such as tutorials, workshops, teaching and awareness initiatives, open-source initiatives, and small research and development projects by its current members. The EAMT particularly encourages proposals from early career researchers. Topics of interest include, but are not limited to: - Recent developments in MT research. - MT evaluation methodology, metrics and results. - Launch of MT-specific evaluation campaigns. - New or prospective commercial users of MT technology. - MT environments (workflow, support tools, etc.). - Interaction between users and MT systems. - MT combined with other technologies (translation memories, speech translation, cross-language information retrieval, multilingual text categorization, multilingual text summarization, etc.). - MT for less-resourced languages: development, usage, etc. - MT in the social internet: new uses, new modes of development. - MT for crisis management. - Training events on MT, particularly on recent developments. - Events to disseminate MT, especially to the wider public. All proposals will be screened by a review committee that consists of EAMT Executive Committee members and possibly a few appointed external experts if necessary. == Submission information == * Eligibility requirements * In order to qualify for funding, the institution(s) or the individual making the proposal must be a confirmed member of the EAMT at submission time. Membership information: http://www.eamt.org/membership.php * Selection criteria * - The proposed activity should be of direct interest to the MT community at large: researchers, developers, vendors, translators and users of MT technologies. - The proposal shall clearly describe the purpose of the project and include measurable mid-project milestones for which a report should be submitted (see below). - Preference will be given to projects which by nature will involve and be beneficial for several persons, as for instance conferences, seminars, workshops and tutorials. - Proposals with a significant, clearly identified impact on the MT community (through the development, dissemination or use of project results) are those most likely to be accepted. - Proposals that bring together different aspects of MT will be especially valued. - The proposal should be clearly justified as being technically and/or scientifically sound. - The quality and efficiency of the implementation of the proposal will be evaluated. - The budget should be adequate for the proposed objectives and the actual implementation of the activity. == Budget == EAMT anticipates funding several proposals for various activities. There are two categories of proposals. The member institutions’ category and the individual members’ category. The total foreseen EAMT Budget for this call is around €10,000 to cover all granted projects. The maximum amount EAMT can grant for a single project will be €10,000. During the negotiation stage, budget adjustments may be required by the EAMT executive committee. This means that the EAMT may only offer to partially fund a project. A project being granted financial support by EAMT according to this call will receive 50% of the granted amount at the start of the project. The proposer will receive the remaining 50% when the mid-project progress report has been received by the EAMT Secretary and substantiates that the mid-project milestones are met, and furthermore provided that the proposer is still a current member of the EAMT. == Contact for enquiries == Carolina Scarton EAMT Secretary e-mail: c.scarton(a)sheffield.ac.uk == Submission procedure == * Overview * Candidates should submit their proposals as a single PDF file, written in English, that is composed of the elements described below. - Proposal description: 2-page maximum - Person/organisation experience: 1-page maximum - Budget and project planning overview: 1-page maximum Proposals should be submitted no later than the deadline (see Important Dates below) through EasyChair: https://easychair.org/conferences/?conf=eamt2023 (Submission type: Project Proposals). Authors are encouraged to use the template available at http://www.eamt.org/eamt2020-projects.zip. Templates for both LaTeX and Microsoft Word are available. * Detailed description of sections of the proposal * 1-) Proposal description (two pages) in English - Complete contact information of the candidate. - A clear and detailed description of the proposed event or activity. - A statement on why this event or activity would be helpful for the community. - A statement justifying why EAMT should support this event or activity. 2-) Experience of the proposing person/organisation in the field (up to one page). - It may include a list of experience and related skills of the participants of the team. 3-) Budget and project planning overview (up to one page) - A breakdown of the costs estimated for the entire activity or event. - Clear milestones and deliverables must be indicated. - An identification of the support requested from EAMT and possible other supporting funds. == Important Dates == - Circulation of the Call: August 1, 2022 - Submission deadline for proposals: October 7, 2022, 23:59 CEST - Acceptance notifications and negotiations to start on: December 7, 2022 In case of acceptance: - Mid-project progress report due: June 30, 2023, 23:59 CEST - Final report and deliverables due: January 31, 2024, 23:59 CET == Additional provisions == - Only complete proposals will be reviewed. - All information submitted with proposals will be regarded as confidential and will only be used in the context of this project. - Following the recommendations from the reviewers and EAMT executive members, projects may be approved with amendments that will be discussed during the negotiation stage. - The funded projects may be required to report at the EAMT events (e.g. Poster at the EAMT conference, a short progress report for the General assembly, etc.), without any claim for additional funds. - The EAMT should be acknowledged in all materials related to the project, activity or initiative. == No obligation to award the proposal == The EAMT shall be under no obligation to fund the proposals pursuant to this call for proposals. EAMT shall not be liable for any compensation with respect to candidates whose proposals have not been accepted. Nor shall it be liable in the event of it deciding not to award the proposal. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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Monthly online ILFC Seminar: interactions between formal and computational linguistics
by Timothée Bernard 02 Sep '22

02 Sep '22

*Monthly online ILFC Seminar: interactions between formal and computational linguistics* https://gdr-lift.loria.fr/monthy-online-ilfc-seminar/ GdR LIFT is happy to announce the two forthcoming sessions of the ILFC seminar on the interactions between formal and computational linguistics (note that they will both be held on a *Wednesday*): - 2022/09/14 17:00-18:00 UTC+2: *Ellie Pavlick* (Brown University & Google; 11:00-12:00 UTC-4) Title: *Implementing Symbols and Rules with Neural Networks* Abstract: *Many aspects of human language and reasoning are well explained in terms of symbols and rules. However, state-of-the-art computational models are based on large neural networks which lack explicit symbolic representations of the type frequently used in cognitive theories. One response has been the development of neuro-symbolic models which introduce explicit representations of symbols into neural network architectures or loss functions. In terms of Marr’s levels of analysis, such approaches achieve symbolic reasoning at the computational level (“what the system does and why”) by introducing symbols and rules at the implementation and algorithmic levels. In this talk, I will consider an alternative: can neural networks (without any explicit symbolic components) nonetheless implement symbolic reasoning at the computational level? I will describe several diagnostic tests of “symbolic” and “rule-governed” behavior and use these tests to analyze neural models of visual and language processing. Our results show that on many counts, neural models appear to encode symbol-like concepts (e.g., conceptual representations that are abstract, systematic, and modular), but not perfectly so. Analysis of the failure cases reveals that future work is needed on methodological tools for analyzing neural networks, as well as refinement of models of hybrid neuro-symbolic reasoning in humans, in order to determine whether neural networks’ deviations from the symbolic paradigm are a feature or a bug.* - 2022/10/12 17:00-18:00 UTC+2: *Dan Lassiter* (University of Edinburgh; 16:00-17:00 UTC+1) Title: *Modelling suppositional meaning in discourse* The seminar is held on Zoom. To attend the seminar and get updates, please register to be on our mailing list: https://sympa.inria.fr/sympa/subscribe/seminaire_ilfc

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Fwd: [parole] ALPS 2023 **WINTER** School, 2d Call for Participation
by François Portet 02 Sep '22

02 Sep '22

-------- Message transféré -------- Sujet : [parole] ALPS 2023 **WINTER** School, 2d Call for Participation Date : Fri, 2 Sep 2022 11:49:29 +0200 De : Laurent Besacier <laurent.besacier(a)univ-grenoble-alpes.fr> Répondre à : Laurent Besacier <laurent.besacier(a)univ-grenoble-alpes.fr> Pour : sigul(a)list.elra.info, ln(a)groupes.renater.fr <ln(a)groupes.renater.fr>, parole(a)listes.afcp-parole.org <parole(a)listes.afcp-parole.org>, gdrtal-multilinguisme(a)services.cnrs.fr, gdrtal-intermodalite(a)services.cnrs.fr, moses-support <moses-support(a)mit.edu>, mt-list(a)eamt.org =/=/=/= Parole, la liste de diffusion de l'AFCP =\=\=\=

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Open position for a doctoral student in NLP at Språkbanken Text (Gothenburg, Sweden)
by Elena Volodina 01 Sep '22

01 Sep '22

Dear all, Språkbanken Text (Gothenburg, Sweden) has an open position for a doctoral student in Natural Language Processing. It is a fully-paid 4-year position with a possibility to extend to 5 years. See the full announcement here (note a link to detailed instructions under the Section "Application"): Eng: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Swe: https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… Timeline: Application deadline : September, 29th Preliminary decision : December, 21st Start of the position : February, 1st or as soon as possible after that date Please forward this announcement to relevant people and channels. Looking forward to great candidates! ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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ADAPT: Multimodal Conversational Agents - PhD@UNITN: Application deadline: 6th of September
by Raffaella Bernardi 01 Sep '22

01 Sep '22

The IECS Doctoral School, at the University of Trento, has several PhD openings. Application deadline on September* 6, 2022 hrs. 04:00 PM *(CEST). See here for details: https://iecs.unitn.it/education/admission/call-for-application If you are interested in the project on *Adaptive Multimodal conversational agents* that will be run in collaboration with Amazon Alexa (in Berlin), please contact me at raffaella.bernardi(a)unitn.it Project description: http://iecs.unitn.it/education/admission/reserved-topic-scholarships#A1 I am looking for PhD candidates with a strong background in Computer Science, in particular on Machine Learning, ideally with some expertise on Natural Language Processing/Natural Language Generation. Raffaella ============================================================== University of Trento CIMeC: C225, second floor, Corso Bettini 31, 38068 Rovereto (TN), DISI: Povo 2, Room: 110, Via Sommarive 9, I 38123, Povo (TN) Tel. +39 0464 80 8704 (CIMeC) http://disi.unitn.it/~bernardi/ ==============================================================

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