February 2023 - Corpora

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

13 May '25

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

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

10 Nov '23

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

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

30 Oct '23

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

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

08 Jul '23

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

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

01 Jun '23

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

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Grenoble Interdisciplinary Institute in Artificial Intelligence : Call for Research Fellow Chairs 2023
by François Portet 22 May '23

22 May '23

*Call for Research Fellow Chairs 2023* MIAI, the Grenoble Interdisciplinary Institute in Artificial Intelligence (https://miai.univ-grenoble-alpes.fr/), is opening three research fellow chairs in AI reserved to persons who have spent most of their research career outside France (see below). MIAI is one of the four AI institutes created by the French government and is dedicated to AI for the human beings and the environment. Research activities in MIAI aim to cover all aspects of AI and applications of AI with a current focus on embedded and hardware architectures for AI, learning and reasoning, perception and interaction, AI & society, AI for health, AI for environment & energy, and AI for industry 4.0. These research fellow chairs aim to to address important and ambitious research problems in AI-related fields and will partly pave the way for the future research to be conducted in MIAI. Successful candidates will be appointed by MIAI and will be allocated, for the whole duration of the chair, a budget of 250k€ covering PhD and/or postdoc salaries, internships, travels, … They will be part of MIAI and the French network of AI institutes (comprising, in addition to MIAI, the AI institutes in Paris, Toulouse and Nice) which provide a very dynamic environment for conducting research in AI. *Eligibility*//To be eligible, candidates must hold a PhD from a non-French university obtained after January 2014 for male applicants and after 2014-/n/, where /n/ is the number of children, for female applicants. They must also have spent more than two thirds of their research career since the beginning of their PhD outside France. Lastly, they should be pursuing internationally recognized research in AI-related fields (including applications of AI to any research field). *To apply* Interested candidates should first contact Eric Gaussier (eric.gaussier(a)univ-grenoble-alpes.fr) to discuss salary and application modalities. It is important to note that candidates should identify a local collaborator working in one of the Grenoble academic research labs with whom they will interact. If selected, they will join the research team of this collaborator. They should then send their application to Manel Boumegoura (manel.boumegoura(a)univ-grenoble-alpes.fr) and Eric Gaussier (eric.gaussier(a)univ-grenoble-alpes.fr) /by March 11, 2023/. Each application should comprise a 2-page CV, a complete list of publications, 2 reference letters, a letter from the local collaborator indicating the relevance and importance of the proposed project, and a 4-page description of the research project which can target any topic of AI or applications of AI. It is important to emphasize, in the description, the ambition, the originality and the potential impact of the research to be conducted, as well as the collaborations the candidate has or will develop with Grenoble researchers in order to achieve her or his research goals. *Starting date and duration* Each chair is intended for 3 to 4 years, starting no later than September 2023. *Location* The work will take place in Grenoble, in the research lab of the identified collaborator. For any question, please contact Eric Gaussier (eric.gaussier(a)univ-grenoble-alpes.fr) or Manel Boumegoura (manel.boumegoura(a)univ-grenoble-alpes.fr). *******

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CfP - Linking Lexicographic and Language Learning Resources - 4LR workshop @ LDK 2023
by kris.heylen＠ivdnt.org 12 May '23

12 May '23

** apologies for cross-posting ** Linking Lexicographic and Language Learning Resources (4LR) Workshop at LDK 2023 – Call for Papers Workshop website: https://lexicala.com/4lr/ The workshop ‘Linking Lexicographic and Language Learning Resources’ (4LR) will be held in conjunction with LDK 2023 – 4th conference on Language, Data and Knowledge – (http://2023.ldk-conf.org/) at the University of Vienna, Austria, on September 13 (tentative), in hybrid mode. The aim of this workshop is to explore linguistic linked (open) data and knowledge management methods and technologies for linking lexicographic and language learning resources, tools and applications in general and dictionaries and CEFR lists in particular. Our starting point is, on the one hand, enhancing CEFR-graded language proficiency lists with lexicographic content and, on the other hand, incorporating CEFR labels in learner’s dictionaries. CEFR – the Common European Framework of Reference for Languages – is a generally established international standard for describing language proficiency, and CEFR-graded resources have been developed for many languages in Europe. However, incorporating their information is still not a common practice in modern lexicography for most languages, except for notably two English dictionaries for advanced learners (Cambridge and Oxford). There are substantial unsolved issues, such as inconsistencies in vocabulary size per level between languages; no, or limited, sense disambiguation in CEFR resources; words from a higher CEFR level in definitions and example sentences. Moreover, there has been limited collaboration and interoperability so far among the related fields of lexicography, language acquisition, and linguistic linked data, whether regarding research, development, or practical application. 4LR will feature an overview by the organizers, as well as an invited talk by Jorge Gracia from University of Zaragoza and chair of NexusLinguarum CA on Linked Data for Lexicographic Resources. In addition, we invite submissions for papers (20 minutes, plus discussion) on the following topics: • Linking lexicographic content to CEFR-graded vocabularies • Pedagogical lexicography and knowledge graphs • Attributing CEFR labels in learner’s dictionaries • Incorporating vocabulary and grammar profiles in lexicographic resources • Creating and linking crosslingual concept-based CEFR resources • Multilingual knowledge management and language learning applications and tools SUBMISSION AND DATES Please submit your abstract including 300-500 words via EasyChair [https://easychair.org/conferences/?conf=4lr2023]. 19 May 2023 Deadline for abstract submission 29 May 2023 Deadline for notification for abstract submission 30 June 2023 Deadline for camera-ready paper submission 13 Sep 2023 (tentative) 4LR workshop 14–15 Sep LDK 2023 conference ORGANIZERS AND CONTACT Kris Heylen. Dutch Language Institute (Kris DOT Heylen AT ivdnt DOT org) Jelena Kallas. Institute of the Estonian Language Ilan Kernerman. Lexicala by K Dictionaries Carole Tiberius. Dutch Language Institute Website: https://lexicala.com/4lr/ 4LR is supported by NexusLinguarum COST Action (CA18209) – European network for Web-centered linguistic data science. xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx 4LR workshop at LDK 2023 will follow a related workshop ‘Lexicography and CEFR: Linking Lexicographic Resources and Language Proficiency Levels’ that will be held in conjunction with eLex 2023 on June 29 in Brno, Czech Republic.

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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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1st CFP: 18th Workshop on Innovative Use of NLP for Building Educational Applications
by Ekaterina Kochmar 21 Apr '23

21 Apr '23

First Call for Papers The 18th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2023) Toronto Thursday, July 13, 2023 (co-located with ACL 2023) https://sig-edu.org/bea/current *Submission Deadline: Monday, April 24, 2023, 11:59pm UTC-12* WORKSHOP DESCRIPTION The BEA Workshop is a leading venue for NLP innovation in the context of educational applications. It is one of the largest one-day workshops in the ACL community with over 100 registered attendees in the past several years. The growing interest in educational applications and a diverse community of researchers involved resulted in the creation of the Special Interest Group in Educational Applications (SIGEDU) <https://www.aclweb.org/adminwiki/index.php?title=2019Q3_Reports:_SIGEDU> in 2017, which currently has over 300 members. We will solicit papers that incorporate NLP methods, including, but not limited to: - automated scoring of open-ended textual and spoken responses; - automated scoring/evaluation for written student responses (across multiple genres); - game-based instruction and assessment; - educational data mining; - intelligent tutoring; - collaborative learning environments; - peer review; - grammatical error detection and correction; - learner cognition; - spoken dialog; - multimodal applications; - annotation standards and schemas; - tools and applications for classroom teachers, learners and/or test developers; and - use of corpora in educational tools. INVITED TALKS The workshop will feature invited talks from Susan Lottridge (Cambium Assessment) and Jordana Heller (Textio), as well as a speaker from one of the IAALDE <https://alliancelss.com/> societies. IMPORTANT DATES All deadlines are 11:59 pm UTC-12 (anywhere on earth). - Anonymity Period Begins: *Friday, March 24, 2023* - Submission Deadline: Monday, April 24, 2023 - Notification of Acceptance: Monday, May 22, 2023 - Camera-ready Papers Due: Tuesday, May 30, 2023 - Workshop: Thursday, July 13, 2023 SUBMISSION INFORMATION We will be using the ACL Submission Guidelines for the BEA Workshop this year. Authors are invited to submit a long paper of up to eight (8) pages of content, plus unlimited 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. We also invite short papers of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. Papers which describe systems are also invited to give a demo of their system. If you would like to present a demo in addition to presenting the paper, please make sure to select either “long paper + demo” or “short paper + demo” under “Submission Category” in the START submission page. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”. We have also included conflict of interest in the submission form. You should mark all potential reviewers who have been authors on the paper, are from the same research group or institution, or who have seen versions of this paper or discussed it with you. We will be using the START conference system to manage submissions: https://www.softconf.com/acl2023/bea2023/ DOUBLE SUBMISSION POLICY We will follow the official ACL double-submission policy <https://www.aclweb.org/archive/policies/current/double-submission-policy.ht…>. Specifically: Papers being submitted both to BEA and another conference or workshop must: ● Note on the title page the other conference or workshop to which they are being submitted. ● State on the title page that if the authors choose to present their paper at BEA (assuming it was accepted), then the paper will be withdrawn from other conferences and workshops. ORGANIZING COMMITTEE - Ekaterina Kochmar <https://ekochmar.github.io/about/>, MBZUAI - Jill Burstein <https://sites.google.com/site/jbursteinets/>, Duolingo - Andrea Horbach <https://www.ltl.uni-due.de/team/andrea-horbach/>, FernUniversität in Hagen - Ronja Laarmann-Quante <https://www.ltl.uni-due.de/team/ronja-laarmann-quante>, Ruhr University Bochum - Nitin Madnani <https://desilinguist.org/>, Educational Testing Service - Anaïs Tack <https://anaistack.github.io/>, KU Leuven - Victoria Yaneva <http://www.victoriayaneva.info/>, National Board of Medical Examiners - Zheng Yuan <https://www.cl.cam.ac.uk/~zy249/>, King’s College London - Torsten Zesch <https://www.ltl.uni-due.de/team/torsten-zesch>, FernUniversität in Hagen Workshop contact email address: bea.nlp.workshop(a)gmail.com

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list of authors and their work ...
by Albretch Mueller 02 Apr '23

02 Apr '23

there are all kinds of lists on wikipedia of various kinds of authors: linguists, philosophers, mathematicians ... In most (almost all?) cases there is a brief page about the authors biography and their work. As you could expect some folks (isbndb.com) would come up with the great idea of selling you the air you breathe. exaly.com, worldcat, freelibrary.org ... do a minimally better job, but their web interface I find too constraining and, "of course", you don't find a "download the whole damn thing" option. What I am looking for is an openly and collectively maintained DB a la wikipedia from which interface you could download all search hits as well-formatted, parsable lines in a text file without having to "click next", copy and paste, and all that kind of nonsense. I could imagine someone in the corpora research community has taken the time to compile a database which IMO should include: a) work: a.1) original name a.2) original language a.3) topical bags index a.4) received category index (a children book, book review, degree theses, article in periodical, ...) a.5) publications: a.5.1) date a.5.2) metadata RDF including: language, "co-"authors (preface, those writing back-cover blurbs), editors, translators, ISBNs, publisher, copyright notice, ... b) name(s): b.1) first/given name(s) (at Birth) b.2) last name(s) (at Birth) b.3) pen name(s) b.3) also known as c) birth place d) date of birth e) languages f) date of death Authorship - work pairs should be prioritized. In case of compilations of various auth-work pairs in a single book, the compilation in which an article appears should be specified in the metadata. Please, let me know where could I find such a database (even if partially) which could be downloaded. In case you don't know such a general registry of published books/texts, which other entries would you think are important? lbrtchx

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EACL 2023 Call for Diversity & Inclusion Subsidies
by Spandana 23 Mar '23

23 Mar '23

*Overview* EACL 2023 is providing D&I funds for registration, travel/accommodation, caregiving, bandwidth and VPN subsidies. The grants are intended for individuals for whom attending the conference would cause a financial burden or create risks to their safety or privacy. Please apply by 27th March 2023 (2 weeks before the early registration deadline) at https://forms.gle/RqAGjjEjwdvnEqBv7. This call is also available online: https://2023.eacl.org/calls/d-i-subsidies Registration subsidies This is for getting a waiver for EACL registration. If you haven’t already registered for an *ACL in 2023, you would also need to pay the ACL membership registration fee, e.g. $100 for regular. You can also request for ACL membership if that’s applicable. Note that if you are applying for a registration fee waiver, it is expected that you DO NOT register for the conference until you hear from us about your D&I subsidy application. That way, you would not have to ask for a reimbursement, since you would not be charged in the first place. We strongly encourage folks to apply for a volunteership program in order to maximize their chances for getting their registration fees waived. Travel subsidies and pre-paid accommodation We have a limited number of pre-paid accommodation available. These are shared double-rooms in the conference hotel. Please list any special requirements in your application form. We also have a limited budget allocated to support international travel. Please make sure to outline how you will benefit from in-person attendance at this stage of your career. Caregiving and accessibility subsidies We can reimburse caregiving purchases that you need for the conferences. You need to provide receipts for your purchases. These can be babysitting, transportation costs, or other support required for yourself or your dependents, which would ease your participation. If you need any personal or technical assistance to access and navigate the conference due to a disability, we can reimburse you for the cost of it. This holds for example if you need assistance in using the platform for online participation due to a visual impairment. We acknowledge that accessibility needs are highly individual to each participant, so please feel free to reach out to us with any issues you might face in this regard. Bandwidth and VPN subsidies We can reimburse bandwidth or VPN purchases that you need for the conferences. You need to provide receipts for your purchases. Bandwidth subsidies would be for high-speed internet access costs for the duration of the conference only. VPN generally does not cost more than 10 USD per month and could be applied towards participation if you need anonymity to participate completely (for example, for queer folks who might need this for extra security depending on where they live). Selection Criteria Applicants for the subsidy program will be evaluated based on the material they submit in their application packages. Preference will be given to applicants who are presenting a paper in the main conference, the Student Research Workshop, or any of the workshops associated with EACL 2023, and who do not have other means of support. Preferences will be given to residents of under-represented regions and members of marginalized communities (as detailed in the application form). Instructions Applicants for the D&I subsidy Program should fill the application form at: https://forms.gle/RqAGjjEjwdvnEqBv7. *Application deadline:* 27th March 2023 (anywhere on earth) – 2 weeks before the early registration deadline. *Notification of acceptance:* 3rd April 2023 – 1 week before the early registration deadline We aim to send all notifications by the deadline above. However, we will start processing the applications as they come and you may be contacted earlier. *Contact Information* The co-chairs of the Diversity and Inclusion committee can be contacted by email at: eacl2023_div_incl(a)hw.ac.uk

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Third Call and DEADLINE EXTENDED For Papers: The Fourth Workshop on Insights from Negative Results (co-located with EACL 2023)
by Shabnam Tafreshi 15 Mar '23

15 Mar '23

Dear colleagues, The Fourth Workshop on Insights from Negative Results in NLP Co-located with EACL, May 5 or 6, 2023 First Call for Participation Insights Website: <https://insights-workshop.github.io/ <https://insights-workshop.github.io/index>> Contact email: insights-workshop-organizers(a)googlegroups.com *****Submission due: February 20, 2023 *Overview Publication of negative results is difficult in most fields, but in NLP the problem is exacerbated by the near-universal focus on improvements in benchmarks. This situation implicitly discourages hypothesis-driven research, and it turns creation and fine-tuning of NLP models into art rather than science. Furthermore, it increases the time, effort, and carbon emissions spent on developing and tuning models, as the researchers have no opportunity to learn what has already been tried and failed. This workshop invites both practical and theoretical unexpected or negative results that have important implications for future research, highlight methodological issues with existing approaches, and/or point out pervasive misunderstandings or bad practices. In particular, the most successful NLP models currently rely on different kinds of pretrained meaning representations (from word embeddings to Transformer-based models like BERT and GPT-3). To complement all the success stories, it would be insightful to see where and possibly why they fail. Any NLP tasks are welcome: sequence labeling, question answering, inference, dialogue, machine translation - you name it. A successful negative results paper would contribute one of the following: ** broadly applicable recommendations for training/fine-tuning, especially if X that didn’t work is something that many practitioners would think reasonable to try, and if the demonstration of X’s failure is accompanied by some explanation/hypothesis; ** ablation studies of components in previously proposed models, showing that their contributions are different from what was initially reported; ** datasets or probing tasks showing that previous approaches do not generalize to other domains or language phenomena; ** trivial baselines that work suspiciously well for a given task/dataset; ** cross-lingual studies showing that a technique X is only successful for a certain language or language family; ** experiments on (in)stability of the previously published results due to hardware, random initializations, preprocessing pipeline components, etc; ** theoretical arguments and/or proofs for why X should not be expected to work; ** demonstration of issues with data processing/collection/annotation pipelines, especially if they are widely used; ** demonstration of issues with evaluation metrics (e.g. accuracy, F1 or BLEU), which prevent their usage for fair comparison of methods. * Important Dates ** Submission due: February 20, 2023 ** Submission due for papers reviewed through ACL Rolling Review: March 17, 2023 ** Notification of acceptance: March 13, 2023 ** Camera-ready papers due: March 27, 2023 ** Workshop: May 5 or 6, 2023 * Submission Submission is electronic, using the Softconf START conference management system. Submission link: <https://softconf.com/eacl2023/insights2023/> The workshop will accept short papers (up to 4 pages, excluding references), as well as 1-2 page non-archival abstract submissions for papers published elsewhere (e.g. in one of the main conferences or in non-NLP venues). The goal of this event is to stimulate a meaningful community-wide discussion of the deep issues in NLP methodology, and the authors of both types of submissions will be welcome to take part in our get-togethers. The workshop will run its own review process, and papers can be submitted directly to the workshop by Feb 13, 2023. It is also possible to submit a paper accompanied with reviews from the ACL Rolling Review system by March 17, 2023. The submission deadline for ARR papers follows the ACL RR calendar. Both research papers and abstracts must follow the ACL two-column format. Official style sheets: <https://www.overleaf.com/read/crtcwgxzjskr> <https://github.com/acl-org/ACLPUB/tree/master/templates> 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. * Multiple Submission Policy The workshop cannot accept work for publication or presentation that will be (or has been) published elsewhere and that have been or will be submitted to other meetings or publications whose review periods overlap with that of Insights. Any questions regarding submissions can be sent to insights-workshop-organizers(a)googlegroups.com. If the paper has been rejected from another venue, the authors will have the option to provide the original reviews and the author response. The new reviewers will not have access to this information, but the organizers will be able to take into account the fact that the paper has already been revised and improved. * Anonymity Period We are not enforcing any anonymity period. * Presentation All accepted papers must be presented at the workshop to appear in the proceedings. Authors of accepted papers 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 the workshop. Previous presentations of the work (e.g. preprints on arXiv.org) should be noted in a footnote in the camera-ready version (but not in the anonymized version of the paper). The workshop will take place on May 2 or 6 2023. The workshop will be hybrid with both in-person and virtual presentations. * Organization Committee ** Shabnam Tafreshi, University of Maryland: ARLIS ** Arjun Reddy Akula, Google ** João Sedoc, New York University ** Anna Rogers, University of Copenhagen ** Aleksandr Drozd, RIKEN ** Anna Rumshisky, University of Massachusetts Lowell / Amazon Alexa * Contact info Any questions regarding the workshop can be sent to insights-workshop-organizers(a)googlegroups.com. Please continue reading about: Authorship, Citation and Comparison, Ethics Policy, Reproducibility, Anonymity Period, and Presentation in the call for paper page on our website: https://insights-workshop.github.io/2023/cfp/ Regards, Insights 2023 Organizers -- *Shabnam Tafreshi, PhD* *Assistant Research Scientist* *Computational Linguistics, NLP* *UMD: ARLIS @ College Park* *"All the problems of the world could be settled easily, if people only willing to think."* *-Thomas J. Watson*

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CD-MAKE 2023 special session on “Multi-Perspectivist Data and Learning”
by Valerio Basile 08 Mar '23

08 Mar '23

Dear colleagues, We are happy to announce the call for papers for our one-day special session on “Multi-Perspectivist Data and Learning 2023” at the upcoming CD MAKE 2023 conference: https://cd-make.net/special-sessions/multi-perspectivist-data-and-learning/ *************************************************** Description, scope and aims Many Artificial Intelligence applications are based on supervised machine learning (ML), which ultimately grounds on manually annotated data. The annotation process (i.e., ground-truthing) is often performed in terms of a majority vote and this has been proved to be often problematic, as highlighted by recent studies on the evaluation of ML models. Recently, a different paradigm for ground-truthing has started to emerge, called data perspectivism, which moves away from traditional majority aggregated datasets, towards the adoption of methods that integrate different opinions and perspectives within the knowledge representation, training, and evaluation steps of ML processes, by adopting a non-aggregation policy. This alternative paradigm obviously implies a radical change in how we develop and evaluate ML systems: such ML systems have to take into account multiple, uncertain, and potentially mutually conflicting views. This obviously brings both opportunities and difficulties: novel models or training techniques may need to be designed, and the validation phase may become more complex. Nonetheless, initial works have shown that data perspectivism can lead to better performances, and could also have important implications in terms of human-in-the-loop and interpretable AI, as well as in regard to the ethical issues or concerns related to the use of AI systems. The scope of this special session is to attract contributions related to the management of subjective, crowd-sourced, multi-perspective, or otherwise non-aggregated data in ground-truthing, machine learning, and more generally artificial intelligence systems. Invited contributions: full research papers and research in progress papers. *************************************************** Topics of interest: - Subjective, uncertain, or conflicting information in annotation and crowdsourcing processes; - Limits and problems with standard data annotation and aggregation processes; - Theoretical studies on the problem of learning from multi-rater and non-aggregated data; - Participation mechanisms/incentives/gamification for rater engagement and crowdsourcing; - Ethical and legal concerns related to annotation and aggregation processes in ground-truthing; - Creation and documentation of multi-rater and non-aggregated datasets and benchmarks; - Development of ML algorithms for multi-rater and non-aggregated data; - Techniques for the evaluation of ML systems based on multi-rater and non-aggregated data; - Applications of data perspectivism and non-aggregated data to eXplainable AI, human-in-the-loop AI and algorithmic fairness; - Experimental and application studies of ML/AI systems on multi-rater and non-aggregated data, in possibly different application domains (e.g. NLP, medicine, legal studies, etc.) *************************************************** Important dates: Submission Deadline March 27, 2023 (AoE) Author Notification June 01, 2023 Proceedings Version June 22, 2023 (AoE) Conference August 29 – September 01, 2023 *************************************************** Special Session Chairs: Federico Cabitza (University of Milano-Bicocca, Italy) Andrea Campagner (University of Milano-Bicocca, Italy) Valerio Basile (University of Turin, Italy) Program Committee (provisional): Nahuel Costa Cortez, University of Oviedo Elisa Leonardelli, Fondazione Bruno Kessler (FBK) Julian Lienen, Paderborn University Gavin Abercrombie, Heriot-Watt University Simona Frenda, University of Turin Marília Barandas, Fraunhofer Portugal AICOS Duarte Folgado, Fraunhofer Portugal AICOS Barbara Plank, Ludwig Maximilian University of Munich Tommaso Caselli, Rijksuniversiteit Groningen *************************************************** Related readings [1] Cabitza, F., Campagner, A., Basile, V. (2023) Toward a Perspectivist Turn in Ground Truthing for Predictive Computing Proceedings of the AAAI Conference on Artificial Intelligence (extended preprint at: https://arxiv.org/pdf/2109.04270.pdf) [2] V. Basile (2020) It’s the End of the Gold Standard as we Know it. On the Impact of Pre-aggregation on the Evaluation of Highly Subjective Tasks Proceedings of the AIxIA 2020 Discussion Papers Workshop [3] F. Cabitza, A. Campagner, L. M. Sconfienza (2020) As if sand were stone. New concepts and metrics to probe the ground on which to build trustable AI BMC Medical Informatics and Decision Making [4] Plank, B. (2022). The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation. arXiv preprint arXiv:2211.02570.

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Call for Papers: Slav-NLP: The 9th Workshop on NLP for SlavicLanguages
by Roman Yangarber 04 Mar '23

04 Mar '23

* Call for Papers * * SNLP: The9thWorkshoponNLP for Slavic languages <http://bsnlp.cs.helsinki.fi/> 2 May 2023 or 6 May 2023 co-located with EACL 2023 http://bsnlp.cs.helsinki.fi/ <http://bsnlp.cs.helsinki.fi/> Submission Deadline: 27 February 2023 WORKSHOPDESCRIPTION The 9th edition of the SNLP Workshop at EACLSponsored by SIGSLAV: the ACL Special Interest Group on Slavic NLP The languages from the Slavic group play an important role due to their diverse cultural heritage and widespread use — with over 400 million speakers worldwide. The current political and economic developments in Central and Eastern Europe bring Slavic societies and languages into focus in terms of rapid technological advancement and expanding consumer markets. Research on theoretical and applied topics in the context of Slavic languages is still lagging in the community. Linguistic phenomena that are common to Slavic languages — rich morphology, free word order, etc. — make NLP for these languages a challenging task. Slavic NLP gathers researchers from academia and industry. It aims to stimulate research in Slavic NLP, and to foster the creation of tools and resources. The Workshops provides a forum for exchange of ideas and experience, discussing current challenges, and making the available resources widely-known. The structural similarity, as well as the easily recognizable core vocabulary and inflectional inventory spanning this entire large language group creates a special environment, where researchers can appreciate the shared problems and communicate naturally — despite the lack of mutual intelligibility.This year, we are especially glad to have an opportunity to organize Slav NLP in a Slavic-speaking country. This Workshop addresses Natural Language Processing (NLP) for the Slavic languages. The NLP tasks in urgent need of attention include: * language modeling * morphological analysis and generation, * syntactic and semantic parsing, * lexical semantics, * named-entity recognition, * text normalisation and processing non-standard language * coreference resolution, * information extraction, * question answering, * text summarization, * machine translation, * development of linguistic resources, * text classification * disinformation detection, * fact verification. * sentiment analysis This Workshop continues the proud tradition established by the 8 previous BSNLP Workshops. IMPORTANT DATES * Submission deadline: 27 February 2023 * Notification of acceptance: 19 March 2023 * Camera-ready papers due: 27 March 2023 * Workshop: 2 or 6 May 2023 SHARED TASK This year's SNLP features the 4th editionof the Shared Task on Multilingual Named Entity Recognition: recognizing mentions of named entities in Web documents, lemmatization, and cross-lingual matching in Slavic languages. The shared task covers: * Czech, * Polish, * Russian. Information about the Shared Task and training data is available on the Workshop web page SUBMISSION INFORMATION At the Workshop Web page: bsnlp.cs.helsinki.fi <http://bsnlp.cs.helsinki.fi/call-for-papers.html> Workshop contact email address: bsnlp(a)cs.helsinki.fi * -- Roman Yangarber Associate Professor, University of Helsinki Digital Humanities INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ e-Learning & language learninghelsinki.fi/revita <https://www.helsinki.fi/revita> Language Learning Labhelsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> Unioninkatu 40, Metsätalo A214 mobile: +358 50 41 51 71 3 Helsinki, Finland ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ RЯ

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CfP: Humor and Artificial Intelligence at ISHS 2023
by Tristan Miller 02 Mar '23

02 Mar '23

Humor and Artificial Intelligence Track ======================================= 33rd International Society for Humor Studies Conference (ISHS 2023) Boston, Massachusetts July 3 to 7, 2023 https://combeyond.bu.edu/offering/international-society-of-humor-studies-co… ABSTRACT SUBMISSION DEADLINE: MARCH 1, 2023 Call for papers --------------- Humor is a universal and ubiquitous facet of human communication, but is among the hardest to process in artificial intelligence environments. The Humor and Artificial Intelligence track at ISHS 2023 solicits abstracts on the computational representation, detection, classification, interpretation, and generation of any and all forms of verbal or non-verbal humor. Application areas include, but are not limited to: * human–computer interaction * computer-mediated communication * intelligent writing assistants * conversational agents * machine and computer-assisted translation * digital humanities * natural language processing * computer vision Abstracts of 150 to 350 words should be submitted on the ISHS 2023 website at <https://combeyond.bu.edu/offering/international-society-of-humor-studies-co…> by March 1, 2023. Authors of accepted abstracts will be invited to give a conference talk of approximately 20 minutes plus time for questions. Conveners --------- Kiki Hempelmann (Texas A&M University-Commerce) Tristan Miller (Austrian Research Institute for Artificial Intelligence) Julia M. Rayz (Purdue University) -- 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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CxGs+NLP at GURT/SyntaxFest 2023: Call for participation
by Harish Tayyar Madabushi 01 Mar '23

01 Mar '23

CALL FOR PARTICIPATION The First Construction Grammars and NLP (CxGs+NLP) Workshop will take place as part of the Georgetown University Round Table on Linguistics & SyntaxFest (GURT/SyntaxFest 2023) between the 9 and 12 March, 2023. https://gurt.georgetown.edu Location: Washington, DC Date: March 9-12, 2023 The detailed conference program is now online here: https://gurt.georgetown.edu/gurt-2023/program/ GURT/SyntaxFest is an in-person event with a modest registration fee. For a discounted rate, register by Feb. 28 at https://gurt.georgetown.edu/gurt-2023/registration-gurt-2023. 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 We will have an invited speaker, Jonathan Dunn discussing the relation between Construction Grammars and NLP. The workshop will also include a discussion consisting of experts from both fields discussing possible synergies between the two fields. We look forward to seeing you in Washington DC! The CxGs+NLP organisers

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CFP: Mediate - News Media and Computational Journalism Workshop
by Elena Kochkina 28 Feb '23

28 Feb '23

Mediate 2023: Mediate - News Media and Computational Journalism Workshop co-located with ICWSM 2023 Limassol, Cyprus, June 5, 2023 https://digitalmediasig.github.io/Mediate2023/ Submission link: https://easychair.org/conferences/?conf=mediate2023 Papers due: March 27, 2023 -------------------------------------------------------------------------- The fourth MEDIATE workshop will be held on June 5, as part of the International AAAI Conference on Web and Social Media (ICWSM). The main goal of the workshop is to bring together media practitioners and technologists to discuss new opportunities and obstacles that arise in the modern era of information diffusion. This year's theme is: Misinformation: automated journalism, explainable and multi-modal verification and content moderation. Topics of interest include, but are not limited to: - Automated journalism: novel automated and human-in-the-loop solutions for rumour detection/verification, fact-checking, stance classification, evaluation of existing solutions and novel relevant applications. Submitted papers should describe how their advantages would lead to being adopted in practice by journalists and the public (e.g. improved generalisability, ability to provide explanations, reduced bias) and address ethical considerations. - Explainable and Multi-modal verification: explainable rumour verification systems, evidence-based solutions, uncertainty and prediction explainability and general interpretable and transparent AI-systems, as well as multi-modal rumour verification/fact-checking models, sources and data, non-textual and multi-modal features. - Content Moderation: novel content moderation systems for inhibiting misinformation spreading, domain-specific content moderation solutions as well as content moderation systems that showcase generalisability and are interpretable. We invite submissions of technical papers and talk proposals: - Technical papers must be up to 4 pages (short papers) or up to 8 pages (long papers). Technical papers must contain novel, previously-unpublished material related to the topics of the workshop. Accepted papers will be presented orally and will appear in the workshop proceedings. - Talk proposals must be up to 2 pages describing the content of a short talk (the actual length will be determined based on program constraints). Papers must adhere to the ICWSM guidelines ( https://www.icwsm.org/2023/index.html/call_for_submissions.html#guidelines) and be submitted through easychair ( https://easychair.org/conferences/?conf=mediate2023). Organizing committee Talia Tseriotou, Queen Mary University of London Dina Pisarevskaya, Queen Mary University of London Elena Kochkina, Alan Turing Institute Marya Bazzi, Alan Turing Institute & University of Warwick Maria Liakata, Alan Turing Institute & Queen Mary University of London Arkaitz Zubiaga, Queen Mary University of London All questions about submissions should be emailed to t.tseriotou(a)qmul.ac.uk<mailto:t.tseriotou@qmul.ac.uk>, d.pisarevskaya(a)qmul.ac.uk<mailto:d.pisarevskaya@qmul.ac.uk> and mbazzi(a)turing.ac.uk<mailto:mbazzi@turing.ac.uk>

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Call for papers DMR 2023: The Fourth International Workshop on Designing Meaning Representation June 20, 2023
by Kristine.stenzel＠colorado.edu 28 Feb '23

28 Feb '23

**apologies for cross-postings** Call for papers DMR 2023: The Fourth International Workshop on Designing Meaning Representation workshop site: dmr2023.github.io Co-located with IWCS 2023 the 15th International Conference on Computational Semantics, 20-23th June 2023, Université de Lorraine, Nancy, France. IWCS site: https://iwcs2023.loria.fr/ While deep learning methods have led to many breakthroughs in practical natural language applications, most notably in Machine Translation, Machine Reading, Question Answering, Recognizing Textual Entailment, and so on, there is still a sense among many NLP researchers that we have a long way to go before we can develop systems that can actually “understand” human language and explain the decisions they make. Indeed, “understanding” natural language entails many different human-like capabilities, and they include but are not limited to the ability to track entities in a text, understand the relations between these entities, track events and their participants described in a text, understand how events unfold in time, and distinguish events that have actually happened from events that are planned or intended, are uncertain, or did not happen at all. We believe a critical step in achieving natural language understanding is to design meaning representations for text that have the necessary meaning “ingredients” that help us achieve these capabilities. Such meaning representations can also potentially be used to evaluate the compositional generalization capacity of deep learning models. There has been a growing body of research devoted to the design, annotation, and parsing of meaning representations in recent years. The meaning representations that have been used for semantic parsing research are developed with different linguistic perspectives and practical goals in mind and have different formal properties. Formal meaning representation frameworks such as Minimal Recursion Semantics (MRS) and Discourse Representation Theory (as exemplified in the Parallel Meaning Bank) are developed with the goal of supporting logical inference in reasoning-based AI systems and are therefore easily translatable into first-order logic, requiring proper representation of semantic components such as quantification, negation, tense, and modality. Other meaning representation frameworks such as Abstract Meaning Representation (AMR), Tecto-grammatical Representation (TR) in Prague Dependency Treebanks and the Universal Conceptual Cognitive Annotation (UCCA), put more emphasis on the representation of core predicate-argument structure, lexical semantic information such as semantic roles and word senses, or named entities and relations. There is also a more recent effort in developing a Uniform Meaning Representation (UMR) that is based on AMR but extends it to cross-linguistic settings and enhances it to represent document-level semantic content. The automatic parsing of natural language text into these meaning representations and the generation of natural language text from these meaning representations are also very active areas of research, and a wide range of technical approaches and learning methods have been applied to these problems. This workshop will bring together researchers who are producers and consumers of meaning representations, and through their interaction develop a deeper understanding of the key elements of meaning representations that are the most valuable to the NLP community. The workshop will also provide an opportunity for meaning representation researchers to critically examine existing frameworks with the goal of using their findings to inform the design of next-generation meaning representations. A third goal of the workshop is to explore opportunities and identify challenges in the design and use of meaning representations in multilingual settings. A final goal of the workshop is to understand the relationship between distributed meaning representations trained on large data sets using network models, and the symbolic meaning representations that are carefully designed and annotated by NLP researchers and gain a deeper understanding of areas where each type of meaning representation is the most effective. The workshop solicits papers that address one or more of the following topics: • Design and annotation of meaning representations; • Cross-framework comparison of meaning representations; • Challenges and techniques in automatic parsing of meaning representations; • Challenges and techniques in automatically generating text from meaning representations; • Meaning representation evaluation metrics; • Lexical resources, ontologies, and grounding in relation to meaning representations; • Real-world applications of meaning representations; • Issues in applying meaning representations to multilingual settings and lower-resourced languages; • The relationship between symbolic meaning representations and distributed semantic representations; • Formal properties of meaning representations; • Any other topics that address the design, processing, and use of meaning representations. === SUBMISSION INFORMATION === Submissions should report original and unpublished research on topics of interest to the workshop. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings on the ACL Anthology. They should emphasize obtained results rather than intended work and should clearly indicate the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Submission is electronic, using the Softconf START conference management system. Link to the DMR submission site: https://softconf.com/iwcs2023/dmr2023/ Submissions must adhere to the two-column format of ACL venues. Please use our specific style-files or the Overleaf template taken from ACL 2021: https://www.overleaf.com/latex/templates/instructions-for-iwcs-2021-proceed… Initial submissions should be fully anonymous to ensure double-blind reviewing. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. If a paper is accepted, it will be given an additional page to address reviewers’ comments in the final version. References and appendices do not count against these limits. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors’ names and affiliations or self-references that reveal any author’s identity–e.g., “We previously showed (Smith, 1991) …” should be replaced with citations such as “Smith (1991) previously showed …”. Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop organizers dmr2023-chairs(a)googlegroups.com. Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. ** DMR 2023 does not have an anonymity period. However, we ask you to be reasonable and not publicly advertise your preprint during (or right before) review. === IMPORTANT DATES === Submissions due April 3, 2023 Notification of acceptance May 1, 2023 Camera-ready deadline June 1, 2023 Workshop date June 20, 2023 IWCS conference June 20-23, 2023

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CFP: [ICWSM 2023] TRUEHEALTH 2023: Workshop on Combating Health Misinformation for Social Wellbeing
by r.upadhyay＠campus.unimib.it 28 Feb '23

28 Feb '23

TrueHealth 2023: Combating Health Misinformation for Social Wellbeing Workshop @ ICWSM 2023, the 17th International Conference on Web and Social Media June 5th – 8th 2023, Limassol, Cyprus https://truehealth.disco.unimib.it/ Scope and topics: In recent years, people have increasingly referred to the Web and social media as sources of information about health-related problems and solutions, as confirmed by the U.S. Pew Research Center, and other European and international studies. Although, on the one hand, these platforms favor easier and more direct access to information sources by users without the intermediation of experts, on the other hand, it is precisely such democratization of health information that constitutes a potential danger for people. As we have seen especially in the last period, linked to the pandemic, the proliferation of false information, conspiracy theories, and unreliable remedies risk compromising the health not only of individuals but that of the community as a whole. From this perspective, it becomes necessary to study and propose technological solutions to help users come into contact with genuine information, especially in a critical domain such as health, for social well-being. To this end, it is essential to promote research of an interdisciplinary nature, involving computer scientists, physicians, lawyers, and communication experts who can address the problem of health misinformation from different points of view by combining their expertise. The topics of interest of the TrueHealth 2023 Workshop at ICWSM include, but are not limited to: Assessing the genuineness of Online Health Information (OHI); Consumer Health Search (CHS) and genuine information access; Debunking health misinformation; Fake news/rumors and healthcare; Measures, evaluation methods, and datasets for health misinformation detection; Health misinformation detection; Health literacy and information genuineness; Fact-checking in Online Health Information (OHI); Misinformation and public opinion on health; Relationship between access to non-genuine information and danger to public health; Relationship between psychological characteristics and perceptions of health misinformation; Techniques for accessing and retrieving genuine Online Health Information (OHI). Submission Instructions We welcome both 2-page abstracts, as well as Long (8 pages) and Short (4 pages) papers – excluding references (11 pages max with references and ethics statement). Abstracts are ideal as Demo or Position papers, Short papers as presentations of ongoing research with preliminary results or summaries of previous work, and Long papers as presentations of novel research and results. Long and Short papers will be published in ICWSM Workshop Proceedings (http://workshop-proceedings.icwsm.org/). All submissions should be double-blind. Papers have to follow the AAAI format, as outlined here: https://www.overleaf.com/latex/templates/aaai-2023-author-kit/wxnmhzcrjbpc Submit here: https://easychair.org/conferences/?conf=truehealth2023 Other ICWSM submission instructions: https://www.icwsm.org/2023/index.html/call_for_submissions.html Important Dates Workshop Papers Submissions: March 27, 2023 Workshop Paper Acceptance Notification: April 10, 2023 Workshop Final Camera-Ready Paper Due: May 6, 2023 ICWSM-2023 Workshops Day: June 5, 2023 Organizers Gabriella Pasi (Full Professor), University of Milano-Bicocca, Milan, Italy Rishabh Upadhyay (Research Fellow), University of Milano-Bicocca, Milan, Italy Marco Viviani (Associate Professor), University of Milano-Bicocca, Milan, Italy Program Committee Lorraine Goeuriot, Université Grenoble Alpes, France Sanda Harabagiu, The University of Texas at Dallas, USA Liadh Kelly, Maynooth University, Ireland Dongwon Lee, Penn State: The Pennsylvania State University, USA Yelena Mejova, ISI Foundation, Italy Michael Sirivianos, Cyprus University of Technology, Cyprus Xingyi Song, University of Sheffield, UK Angelo Spognardi, Sapienza University of Rome, Italy Bei Yu, Syracuse University, USA Arkaitz Zubiaga, Queen Mary University of London, UK Other members are going to be added in the coming days

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2023 Law & Corpus Linguistics Conference
by Brett Hashimoto 28 Feb '23

28 Feb '23

Hello, We're writing with an updated call for proposals for the Law and Corpus Linguistics Conference to be held on Friday, October 13, 2023, with pre-conference workshops on Thursday, October 12. The conference will be held at Brigham Young University's J. Reuben Clark Law School in Provo, Utah. We're pleased to announce that the keynote address at this year's conference will be given by D. Gordon Smith, Dean of the J. Reuben Clark Law School at Brigham Young University. Gordon has made tremendous contributions to the field of law and corpus linguistics, and we're excited to have him as this year's keynote speaker. Proposals are invited for individual papers and panels. We're open to submissions on a broad range of topics, including but not limited to: * applications of corpus linguistics to the constitutional, statutory, contract, patent, trademark, probate, administrative, and criminal law in any state or nation; * philosophical, normative, and pragmatic commentary on the use of corpus linguistics in the law; * triangulation between corpus linguistics and other empirical methods in legal interpretation; * corpus linguistic analysis of the law of countries other than the United States; * the relationship between corpus linguistics and pragmatics (e.g. implicature, presupposition, sociolinguistic context); * corpus-based analysis of legal discourse or topics; * best practices in corpus design and corpus linguistic methods in legal settings. We have a new proposal deadline of May 31, 2023. Proposals should include an abstract of no more than 750 words and complete contact information for presenters. Please send proposals to byulawcorpus(a)law.byu.edu<mailto:byulawcorpus@law.byu.edu>. Best, BYU LCL 2023 Conference Organizing Committee (Thomas Lee, Jesse Egbert, Brett Hashimoto, James Heilpern and James Phillips) ------------------------------ Assistant Professor of Linguistics Brigham Young University https://sites.google.com/site/brettjameshashimoto/ https://orcid.org/0000-0002-9871-5092

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Vacancy for Research Associate in Natural Language Processing (KTP Associate)
by Paul Thompson 28 Feb '23

28 Feb '23

This is an exciting opportunity at the cutting edge of innovation in the legal and financial sectors for an ambitious graduate with the ability and confidence to undertake a ground-breaking natural language processing project. The University of Manchester and 10BE5 are looking for a driven and accomplished candidate to undertake a 30-month project that aims to automate fact-checking and verification of disclosure documents. The successful candidate will have the unique distinction of also being: - a member of the University of Manchester's prestigious and world-leading National Centre for Text Mining; and - a part of the diverse and dynamic team at 10BE5, an award-winning and fast-growing legal tech company that affords opportunities of interacting with many of the world's largest corporations and firms. The successful candidate will conduct novel to work research in fact-checking and verification, as well as claim mining from legal and financial documents. He/she will also work on the development of labelled data using active and proactive generative approaches and the use of knowledge graphs. Candidates will require a PhD in Natural Language Processing and work experience in related domains. The post is partly funded through a Knowledge Transfer Partnership (KTP) award, the UK Government's flagship scheme intended to promote sustained and mutually beneficial relationships between research organizations and industry. The contractual place of work will be 10BE5 Ltd., 107-111 Fleet Street, London, EC4A 2AB. This role, however, follows a hybrid working pattern that will see the candidate alternating between working from home and at the business location plus occasional visits the University campus in Manchester. The successful candidate will work with supervisors from both the University of Manchester and 10BE5 and will use the facilities and resources of both organisations. Salary: £34,308 to £42,155 per annum depending on experience This position also qualifies for a London Weighting allowance of £3,000 per annum due to 10BE5's London location and includes access to a ring-fenced £5,000 personal development budget Closing date: 14/03/2023 Contract Duration: Available For 30 Months From Start Date For further information and to apply, please visit: https://www.jobs.manchester.ac.uk/displayjob.aspx?jobid=24920 -- Paul Thompson Research Fellow Department of Computer Science National Centre for Text Mining Manchester Institute of Biotechnology University of Manchester 131 Princess Street Manchester M1 7DN UK Tel: 0161 306 3091 http://personalpages.manchester.ac.uk/staff/Paul.Thompson/

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Fully Funded PhD Position: "Emergent Behavior in Large Language Models: Social, Cultural and Psychological Dimensions ».
by Thierry Poibeau 28 Feb '23

28 Feb '23

PhD position available - MSCA COFUND, AI4theSciences (PSL University, France) - "Emergent Behavior in Large Language Models: Social, Cultural and Psychological Dimensions ». Large language models are trained on very large datasets and are known to learn different kinds of associations, certain of them being problematic and leading to biases and stereotypes. But how do these models encode opinions, beliefs and other cultural traits? How should a model deal with this kind of information? This thesis will offer an opportunity to explore these issues. The position is based in Paris (Ecole normale supérieure / PSL), supervised by Thierry Poibeau (https://www.lattice.cnrs.fr/en/members/direction/thierry-poibeau/). It will be co-supervised by Simon Hegelich, from TUM (https://www.hfp.tum.de/politicaldatascience/team/simon-hegelich/) and Saurabh Dhawan (https://www.hfp.tum.de/politicaldatascience/team/saurabh-dhawan/). Candidates should have a strong technical background in AI / NLP (an experience with large language models would be a plus, of course). An additional degree or good knowledge of social sciences is also desirable. Candidates should apply before March, 31. They should not have spent more than 12 months in France in the past 36 months. A more detailed description of the position as well as of the selection procedure is available here: https://euraxess.ec.europa.eu/jobs/67053 (the selection will be done by an independent committee following the MSCA rules. Candidates are however strongly encouraged to contact the PhD supervisor before the application deadline). All the best, Thierry Poibeau

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[CfP] 1st International Workshop on Semantic Methods for Events and Stories (SEMMES 2023)
by Pasquale Lisena 28 Feb '23

28 Feb '23

apologies for cross-posting *************** Semantic Methods for Events and Stories (SEMMES 2023) – Call for Papers *************** Website: https://anr-kflow.github.io/semmes/ CfP: https://easychair.org/cfp/SEMMES2023 Workshop co-located with the Extended Semantic Web Conference (ESWC) Submission deadline: March 9th, 2023 Scope *************** An important part of human history and knowledge is made of events, which can be aggregated and connected to create stories, be they real or fictional. These events as well as the stories created from them can typically be inherently complex, reflect societal or political stances and be perceived differently across the world population. The Semantic Web offers technologies and methods to represent these events and stories, as well as to interpret the knowledge encoded into graphs and use it for different applications, spanning from narrative understanding and generation to fact-checking. The aim of our workshop on Semantic Methods for Events and Stories (SEMMES) is to offer an opportunity to discuss the challenges related to dealing with events and stories, and how we can use semantic methods to tackle them. We welcome approaches which combine data, methods and technologies coming from the Semantic Web with methods from other fields, including machine learning, narratology or information extraction. This workshop wants to bring together researchers working on complementary topics, in order to foster collaboration and sharing of expertise in the context of events and stories. Topics *************** Topics of interest include, but are not limited to: - Ontologies and data models for representing events, event relations, and narratives; - Event extraction, co-reference and linking; - Event Relation extraction and linking (e.g. temporal, causal, modal relationships); - Fake events detection and event verification; - Event-centric question answering; - Event information visualisation; - Event-centric knowledge graphs and vocabularies; - Completion of event-centric knowledge graphs and reasoning; - Event summarisation; - Automatic narrative understanding and generation; - Storytelling Applications/Demos. Submission Guidelines *************** We welcome the following types of contributions. - Long papers (10-15 pages including references) - Short papers (5-9 pages including references) We welcome any types of research, resource and application papers, as well as (short only) demonstration submissions. Submissions must be written in English and formatted using the template for submissions to CEUR Workshop Proceedings (https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…) All papers and abstracts have to be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=semmes2023. Each accepted paper needs to be presented by one of the authors, who agrees to register and participate in SEMMES. Important Dates *************** - Submission deadline: March 9th, 2023 - Notifications: April 13th, 2023 - Camera-ready version: April 20th, 2023 - Workshop day: May 29th, 2023 afternoon All deadlines are 23:59 anywhere on earth (UTC-12). Proceedings *************** The complete set of papers will be published with the CEUR Workshop Proceedings (http://CEUR-WS.org), listed by the DBLP. -- Pasquale Lisena EURECOM, Campus SophiaTech 450 route des Chappes, 06410 Biot, France e-mail: pasquale.lisena(a)eurecom.fr site: http://pasqlisena.github.io/-- Pasquale Lisena EURECOM, Campus SophiaTech 450 route des Chappes, 06410 Biot, France e-mail: pasquale.lisena(a)eurecom.fr site: http://pasqlisena.github.io/

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Paris 8 Summer Corpus Intensive
by Daniel HENKEL 27 Feb '23

27 Feb '23

(Texte en français ci-dessous) Paris 8 University is pleased to announce their upcoming Summer Intensive Program "*Corpus Methods in Linguistics--compilation, annotation, and quantitative analysis*", to be held 5-9 June 2023. This will be a 30h week-long course consisting of: --morning sessions devoted to data collection, extraction and organization, as well as DIY corpus building --afternoon sessions focusing on statistical analysis of the data produced during the morning sessions --several half-day sessions on automatic annotation and manual annotation methods Participants will learn how to: --formulate advanced search queries in a concordancer (e.g. TextSTAT, AntConc) --compile a text corpus with BootCaT --automatically annotate a text corpus in TreeTagger --manually annotate a text corpus in UAM CorpusTool --measure keyword specificity and collocation strength using AntConc --perform statistical analyses of categorical variables in R This program is intended primarily for researchers and upper-level students (Masters or Doctorate). Tuition will be 90€ (60€ reduced rate for students from Paris 8). To participate*, or request further information, please send an email to the organizers indicating name, status (e.g. Doctoral student, Post-doctoral researcher, Faculty) and 5 keywords describing your research interests using this link <mailto:daniel.henkel@univ-paris8.fr?subject=Summer%20Corpus%20Intensive&body=Name:%0D%0A%0D%0AStatus%2FAffiliation:%0D%0A%0D%0AKeywords:%0D%0A%0D%0AHow%2FWhere%20did%20you%20learn%20about%20the%20Paris%208%20Summer%20Corpus%20Intensive%3F:%0D%0A%0D%0AMessage:%0D%0A%0D%0A%0D%0ANB.%20Please%20leave%20the%20subject%20line%20%22Summer%20Corpus%20Intensive%22%20unchanged.%0D%0AVeuillez%20ne%20pas%20modifier%20la%20ligne%20objet%20%22Summer%20Corpus%20Intensive%22.&cc=dsg.up8@gmail.com,summer.school.paris8@gmail.com>. Please note that this is an international Summer School and that we will work with corpora in English, French and possibly other languages. Knowledge of French is thus an advantage but is not strictly necessary. /*Pending confirmation/ *** Nous avons le plaisir de vous annoncer l'ouverture prochaine du Séminaire Intensif « *Méthodes en Linguistique de Corpus--compilation, annotation et analyse quantitative* », de l'Université Paris 8 qui aura lieu du 5 au 9 juin 2023. Ce programme, d'une durée d'une semaine, comprend 30h de cours répartis de la manière suivante : --le matin, des séances consacrées à la récolte et à la préparation des données --l'après-midi, des cours dédiés à l'analyse statistique des données récoltées lors des séances du matin --plusieurs demi-journées d'entraînement à l'annotation automatique et manuelle. Les participants apprendront à : --concevoir des formules de recherche complexes dans un concordancier (p.ex. TextSTAT, AntConc) --rassembler un corpus thématique avec BootCaT --étiqueter un corpus de texte automatiquement avec TreeTagger --annoter un corpus de texte manuellement dans UAM CorpusTool --mesurer la spécificité des mots clefs et la force des collocations dans AntConc --réaliser des analyses statistiques de variables catégoriques dans R Ce programme s'adresse principalement à des enseignants-chercheurs et étudiants de deuxième ou troisième cycle (Master, Doctorat). Les frais de participation seront de 90€ (tarif réduit 60€ pour les étudiants de Paris 8). Pour y participer*, ou pour tout complément d'information, envoyez un courriel aux organisateurs indiquant votre nom, statut (p.ex. Doctorant, Post-doc, Enseignant-chercheur) et 5 mots clefs décrivant vos intérêts de recherche en cliquant ici <mailto:daniel.henkel@univ-paris8.fr?subject=Summer%20Corpus%20Intensive&body=Name:%0D%0A%0D%0AStatus%2FAffiliation:%0D%0A%0D%0AKeywords:%0D%0A%0D%0AHow%2FWhere%20did%20you%20learn%20about%20the%20Paris%208%20Summer%20Corpus%20Intensive%3F:%0D%0A%0D%0AMessage:%0D%0A%0D%0A%0D%0ANB.%20Please%20leave%20the%20subject%20line%20%22Summer%20Corpus%20Intensive%22%20unchanged.%0D%0AVeuillez%20ne%20pas%20modifier%20la%20ligne%20objet%20%22Summer%20Corpus%20Intensive%22.&cc=dsg.up8@gmail.com,summer.school.paris8@gmail.com>. /*Sous réserve de confirmation/

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Job opportunities: Two positions (research data engineer and postdoc researcher) in NLP for historical documents – 3.5 years – EPFL, Switzerland
by Maud Ehrmann 27 Feb '23

27 Feb '23

***Apologies for cross-posting*** In the context of the upcoming interdisciplinary project 'impresso - Media Monitoring of the Past II' ('impresso doppio''), the EPFL Digital Humanities Laboratory is looking for one postdoctoral researcher and one research data engineer who will work with us on the design, development and evaluation of large-scale text mining pipelines for multilingual historical newspaper and radio archives. => NLP Research Data Engineer: https://go.epfl.ch/impresso-nlp-job1 => NLP Postdoctoral Researcher: https://go.epfl.ch/impresso-nlp-job2 FOR BOTH POSITIONS: Application deadline: 21.04.2023. Interviews: End of April. Foreseen start of contract: 01.09.2023 Employment duration: 3.5 years (1-year contract renewable until the end of Feb 2027). Employment rate: 100%. Salary: according to EPFL salary scales and experience. Place of work: EPFL DHLAB, Lausanne, Switzerland. Contact: for any questions feel free to contact Maud Ehrmann (maud.ehrmann [at] epfl [dot] ch). How to apply: please upload your application (full CV and cover letter) via the EPFL portal, cf. links above. ABOUT THE PROJECT: "impresso - Media Monitoring of the Past II" is an interdisciplinary research project which aims to pioneer new approaches to the joint exploration of newspaper and radio archive contents across time, languages, and national borders. Funded by the Swiss National Science Foundation and the Luxembourg National Research Fund (2023-2027), it is carried by the EPFL DHLAB<http://dhlab.epfl.ch/>, the Department of Computational Linguistics<http://www.cl.uzh.ch/de.html> of the University of Zurich, the Centre for Contemporary and Digital History<http://c2dh.uni.lu/> (C2DH) and the History Department<https://www.unil.ch/hist/fr/home.html> of the University of Lausanne, with the additional support of 21 European partners. Computational linguists, computer scientists, digital humanists, historians, and designers will work closely together to enrich and connect newspaper and radio sources through multiple layers of cutting-edge semantic enrichments represented in a shared multilingual vector space, and to design adequate, meaningful and transparent exploration capabilities for (data-driven) historical research in transnational and transmedia perspective. Impresso doppio<https://data.snf.ch/grants/grant/213585> follows on from the first impresso<https://impresso-project.ch/> project which developed a scalable architecture for the processing of Swiss and Luxembourgish newspaper collections and created an interface<https://impresso-project.ch/app> with powerful search, filter and discovery functionalities based on semantic enrichments. The present project puts forward the vision of a complete connection between media archives across languages and media types. WE OFFER: * Opportunity to join an experienced and highly motivated interdisciplinary team conducting innovative and relevant research at the intersection of computer science and humanities research. * Applied research framework: what you will develop will be deployed in production and directly used by a community of researchers. * Work in an interdisciplinary team at the intersection of computer science, NLP, history, journalism and digital library. * Flexible working hours and teleworking. * Located in Lausanne, Switzerland, EPFL has a highly international environment, state-of-the-art research facilities, and is consistently ranked among the world's leading institutions in scientific research. Lausanne is a vibrant and cosmopolitan city centre in a unique natural environment with great outdoor activities (Jura, Alps, Lake Leman). Salaries and benefits are internationally competitive. POSITION 1: NLP Research Data Engineer: Apply online: https://go.epfl.ch/impresso-nlp-job1 Your mission: The impresso project will compile an unprecedented transmedia and transnational corpus (historical newspaper and radio collections from 8 Western European countries) and develop a technical framework for its annotation, integration and exploitation. In this endeavour, you will lead the activities related to the management and engineering of the project data and system architecture. In collaboration with other project team members, you will contribute to the design and implementation of the technical framework. Key responsibilities: * Design and implement scalable data pipelines to convert, cleanse, integrate and consolidate media archives. This includes defining appropriate data structures, models and formats for source documents and enrichments, as well as developing large-scale ingest workflows. * Establish a sustainable system architecture and pipeline management, including unit and integration testing. * Manage, document, and release code modules and datasets. * Actively collaborate with C2DH and UZH teams on data modelling, formats and APIs. * Engage in participative interface and API design with project team and partners. * Contribute to the organisation of annotation and evaluation campaigns (e.g. in the vein of HIPE<https://hipe-eval.github.io/>). * Contribute to the organisation of project workshops on the development and adoption of standards for the representation and exchange of historical data (raw material and annotations). * Contribute to the definition of a roadmap towards the long-term maintenance and expansion of a rich ecosystem of tools, resources and services around historical media. * Participate in other impresso work packages where your expertise is required and coordinate with project team members and partners. * Initiate and/or contribute to scientific publications on data releases, processing and standards (and more topics if interested). The work will be carried out in collaboration with the project team (ca. 12 people). Your profile: * An experienced research data engineer (2-4 years) or NLP researcher/programmer with an interest in history, media and participatory design. * A degree in computer science, natural language processing or a related field (master or PhD), or equivalent professional experience. * Proficiency in: Python; Unix-based operating systems; database development and use (mysql and nosql); use of cloud storage and cloud computing (S3 object storage, Kubernetes); automation and scripting. * Good understanding of machine learning. * Willingness to write good documentation. * Good communication skills. * Strong collaborative and team spirit. * Autonomous and accountable with a proactive approach. * Efficient, committed to deadlines and concerned with production readiness. * Fluency in English. * Comfortable in an international and multi-cultural context. Desirable * Experience working in a scientific and academic context. * Knowledge of French or German is a plus. * Interest in getting involved in supervising activities (MSc students). * Interest in writing scientific papers (on data and infrastructure-related topics, or more if interested). POSITION 2: NLP Postdoctoral Researcher: Apply online: https://go.epfl.ch/impresso-nlp-job2 Your mission: You will conduct research in natural language processing and text mining on historical texts, with the aim of developing powerful information extraction methods on heterogeneous, multilingual and challenging radio transcripts and newspaper archives. Key responsibilities: * Develop approaches to advanced named entity processing, quote extraction and segmentation and classification of media content. * Contribute to semantic indexing integration of media archives. * Contribute to the co-design of the interface and dedicated developments supporting the 4 historical use cases of the project. * Contribute to the organisation of international evaluation shared tasks on historical document processing. * Contribute to the organisation of project workshops on media mining, semantic indexing and processing pipelines. * Participate in other impresso work packages where your expertise is required and coordinate with project team members and partners. * Presentation of research results and participation in scientific and communication events. * Assistance with project management and organisational tasks. Your profile: * PhD (obtained or close to completion) in natural language processing, machine learning, computer science or related areas. * Strong background in machine learning foundations and willingness to apply approaches to real and large-scale data. * Experience in deep learning, language models, information extraction. * Strong programming skills (Python, deep learning frameworks) and knowledge of Unix-based operating systems . * Curious, creative and highly motivated about scientific research and the application of NLP to digitised cultural heritage collections. * Very good communication, presentation, and writing skills in English. * Comfortable in an international and multi-cultural context. Desirable * Understanding of image processing is a plus. * Experience of working with historical documents and in an interdisciplinary environment. * Knowledge of French or German is a plus. * Willingness to (co)-supervise student projects, internships and master theses. Regards, Maud Ehrmann

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Call for Papers: 7th International Workshop on Historical Document Imaging and Processing (HIP'23)
by Maud Ehrmann 27 Feb '23

27 Feb '23

***Apologies for cross-posting*** Call for Papers HIP’23 - 7th International Workshop on Historical Document Imaging and Processing Submission deadline: April 28, 2023. Submission link: https://easychair.org/conferences/?conf=hip23 Workshop: August 24, 2023. Venue: San José, California, USA. Website: https://blog.sbb.berlin/hip2023/#info > Description HIP’23 will be held in conjunction with ICDAR2023<https://icdar2023.org/>, on August 24th, 2023 in San José, USA. The workshop brings together researchers working with historical documents and intends to be complementary and synergistic to the work in analysis and recognition featured in the main sessions of ICDAR, the premier international forum for researchers and practitioners in the document analysis community. Workshop topics include (but are not limited to): * Imaging and Image Acquisition * Imaging for fragile materials * Multispectral imaging * Camera-based/non-invasive acquisition * Case studies/applications * Digital Archiving Considerations * Compression issues * Measuring essential resolution (colour, spatial) and metadata * Modelling of document image degradation * Historical Collections * Military records, personal journals, church records, medieval manuscripts, etc. * Scientific, technical and educational documents * Government archives, documents from the world cultural heritage, multi-language * Document Restoration/Improving readability * Removing or minimizing damages, defects, ink-bleed * Completing and filling in missing pieces based on context, prior knowledge * Machine-learning algorithms for enhancement based on example images * Interactive tools from a user viewpoint * Learning from user-directed image enhancement * Document Content Acquisition * Automated or semi-automated transcription (OCR, OLR) * Machine-learning algorithms for content extraction, including recurrent neural networks, auto-encoders, transformers, and unsupervised feature learning * Content recognition based on surrounding and supporting context * Annotation * Evaluation metrics and methods * Ontologies for modelling historical document content * Content-based retrieval * Family History Documents and Genealogies * Personal, Family, National and Historical Collections of Family Genealogy and Histories * Extracting and linking names, dates, places, etc. * Extracting, linking and piecing together personal and family histories and narratives * Discovering historical social networks * Automated Classification, Grouping and Hyperlinking of Historical Documents * Style identification (of printed text, dating or author identification) * Searching for documents over the internet * Web-based navigation within/among document images * Search/query, retrieval, summarization or condensation of document images * Document collecting, clustering, linking and analysis technologies * Parallel tagging of images, transcripts, and other document layers * Digital Humanities applications of document analysis and recognition * Computer Vision for Computational History * Digital methods and tools for the study of historical documents * Crowdsourcing * Natural Language Processing for Historical Documents * Lemmatization, Part-of-speech tagging, Stemming * Information extraction: named entity recognition, disambiguation and linking, reference extraction, relationship extraction * Semantic Parsing * Sentiment Analysis * Text Summarization Visit HIP past editions’ program for more information: https://blog.sbb.berlin/hip2023/#info. For work focusing on handwriting/paleography, we recommend you have a look at IWCP2023<https://www.csmc.uni-hamburg.de/iwcp2023.html>. > Submission instructions and publication: Submissions are received until April 28, 2023 (Time zone: Anywhere on Earth) via Easychair<https://easychair.org/conferences/?conf=hip23> and undergo review by the members of the Program Committee. Papers must not exceed 6 pages in length (including references). It is not required to anonymize the submission, but authors are welcome to do so if they prefer it. Acceptance notifications will be sent out June 1, 2023. Accepted camera-ready submissions should be sent by July 9, 2023 as PDF via email to kai[dot]labusch[at]sbb.spk-berlin.de for publication in the ACM Digital Library<https://dl.acm.org/> (see also the Proceedings<https://dl.acm.org/conference/hip/proceedings> of previous editions). Authors should use the current ACM SIG Conference Proceedings Template<http://www.acm.org/publications/proceedings-template/> to prepare their papers. Note that ACM has created a new LaTeX template and updated the existing Word templates. Authors also need to apply the ACM Computing Classification System<http://www.acm.org/about/class/2012> (CCS) according to the ACM SIG Conference Proceedings Template. > Important dates (Time zone: Anywhere on Earth<https://www.timeanddate.com/time/zones/aoe>): * Submission Deadline: April 28, 2023 * Acceptance Notification: June 1, 2023 * Camera Ready: July 9, 2023 * Workshop: August 24, 2023 > Program committee: https://blog.sbb.berlin/hip2023/#people > Organizers: Clemens Neudecker (General Chair) Apostolos Antonacopoulos (HIP Series Chair) Christian Clausner (Program Chair) Maud Ehrmann (Program Chair) Kai Labush (Publication Chair) Randy Wilson (Local Arrangements Chair) William Barrett (Honorary Chair)

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3-year PhD position at UNED (Spain)
by JORGE AMANDO CARRILLO DE ALBORNOZ CUADRADO 27 Feb '23

27 Feb '23

Full time PhD position The UNED IR & NLP group has an open PhD position. The successful candidate is expected to work as part of the joint research project FAIRTRANSNLP-DIAGNOSIS: Measuring and quantifying bias and fairness in NLP pipelines, together with colleagues from the Universidad de Barcelona and Universidad Politécnica de Valencia. The project focuses on developing methodologies and metrics for measuring bias, fairness and transparency in NLP systems. The detection of bias, their types and sources, is essential for developing unbiased datasets for training fair systems in NLP. Within the FAIRTRANSNLP project, the PhD candidate will work in the formalization of the detection of bias, fairness, and transparency of NLP pipelines from three different angles: (i) bias embedded in the dataset; (ii) degree of fairness in ML algorithms; and (iii) transparency techniques used in ML to achieve explainability in NLP. The candidate will also participate in the compilation and annotation of datasets. * Candidate profile * * Academic background (university degree, preferably master) in computer science or related discipline. * Knowledge of natural language processing and machine learning. * Excellent programming skills. * Ability to research and work as part of a team. * Fluent in English. * Terms and conditions * One year position with a possible extension to three years (1+2) after a positive evaluation. Salary equivalent to a FPI/FPU grant. * Application * The position is open until filled. Follow instructions in the official call: https://www2.uned.es/bici/Curso2022-2023/12212121/11-1.htm#2.-_____ Please send an email to lplaza(a)lsi.uned.es and jcalbornoz(a)lsi.uned.es for more info. * More about us * The UNED NLP & IR group is a leading group in Information Retrieval and Natural Language Processing. Our team consists of more than 30 people. https://sites.google.com/view/nlp-uned/home AVISO LEGAL. Este mensaje puede contener información reservada y confidencial. Si usted no es el destinatario no está autorizado a copiar, reproducir o distribuir este mensaje ni su contenido. Si ha recibido este mensaje por error, le rogamos que lo notifique al remitente. Le informamos de que sus datos personales, que puedan constar en este mensaje, serán tratados en calidad de responsable de tratamiento por la UNIVERSIDAD NACIONAL DE EDUCACIÓN A DISTANCIA (UNED) c/ Bravo Murillo, 38, 28015-MADRID-, con la finalidad de mantener el contacto con usted. La base jurídica que legitima este tratamiento, será su consentimiento, el interés legítimo o la necesidad para gestionar una relación contractual o similar. En cualquier momento podrá ejercer sus derechos de acceso, rectificación, supresión, oposición, limitación al tratamiento o portabilidad de los datos, ante la UNED, Departamento de Política Jurídica de Seguridad de la Información<https://www.uned.es/dpj>, o a través de la Sede electrónica<https://sede.uned.es/> de la Universidad. Para más información visite nuestra Política de Privacidad<https://descargas.uned.es/publico/pdf/Politica_privacidad_UNED.pdf>.

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2nd Call for Participation: Workshop on RESOURCEs and representations For Under-resourced Languages and domains (RESOURCEFUL-2023)
by Adam Ek 27 Feb '23

27 Feb '23

[Apologies for cross-posting] The second workshop on resources and representations for under-resourced language and domains (RESOURCEFUL-2023) explores the role of the kind and the quality of resources that are available to us and challenges and directions for constructing new resources in light of the latest trends in natural language processing. Data-driven machine-learning techniques in natural language processing have achieved remarkable performance (e.g., BERT, GPT, ChatGPT) but in order to do so large quantities of quality data (which is mostly text) is required. Interpretability studies of large language models in both text-only and multi-modal setups have revealed that even in cases where large text datasets are available, the models still do not cover all the contexts of human social activity and are prone to capturing unwanted bias where data is focused towards only some contexts. A question has also been raised whether textual data is enough to capture semantics of natural language processing and other modalities such as visual representations or a situated context of a robot might be required. Annotator-based resources have been constructed over years based on theoretical work in linguistics, psychology and related fields and a large amount of work has been done both theoretically and practically. The purpose of the workshop is to initiate a discussion between the two communities involved in building resources (data vs annotation-based) and exploring their synergies for the new challenges in natural language processing. We encourage contributions in the areas of resource creation, representation learning and interpretability in data-driven and expert-driven machine learning setups and both uni-modal and multi-modal scenarios. In particular we would like to open a forum by bringing together students, researchers, and experts to address and discuss the following questions: - What is relevant linguistic knowledge the models should capture and how can this knowledge be sampled and extracted in practice? - What kind of linguistic knowledge do we want and can capture in different contexts and tasks? - To what degree are resources that have been traditionally aimed at rule-based natural language processing approaches relevant today both for machine learning techniques and hybrid approaches? - How can they be adapted for data-driven approaches? - To what degree data-driven approaches can be used to facilitate expert-driven annotation? - What are current challenges for expert-based annotation? - How can crowd-sourcing and citizen science be used in building resources? - How can we evaluate and reduce unwanted biases? Intended participants are researchers, PhD students and practitioners from diverse backgrounds (linguistics, psychology, computational linguistics, speech, computer science, machine learning, computer vision etc). We foresee an interactive workshop with plenty of time for discussion, complemented with invited talks and presentations of on-going or completed research. This workshop is a continuation of the first workshop on resources and representations for under-resourced languages and domains held together with the SLTC 2020, https://gu-clasp.github.io/resourceful-2020/. ** Important dates: - Submission deadline for archival papers: 28th March 2023 - Submission deadline for non-archival papers: 4 April 2023 - Notification of acceptance: 25th April 2023 - Camera-ready version: 9th May 2023 - Workshop date: 22nd May 2023 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). ** Submission We invite submissions of long papers (8 pages), short papers (4 pages), and extended abstracts describing work in progress (2 pages). Submissions can report negative results and be opinion pieces. Both papers and extended abstracts can include any number of pages for references. All submissions must follow the NoDaLida template, available in both LaTeX and MS Word, the templates are available at the official conference website, https://www.nodalida2023.fo/authorkit-nodalida23 Submissions must be anonymous and submitted in the PDF format through OpenReview. We also invite submissions of non-archival papers related to our theme already presented or published at other venues. These can be submitted in their original formatting. They will be reviewed by the workshop organisers and the accepted ones will be posted on the workshop website. Authors may be asked to contribute peer-reviews of papers. ** Workshop organisers Dana Dannélls, Språkbanken Text, University of Gothenburg Simon Dobnik, CLASP, University of Gothenburg Adam Ek, CLASP, University of Gothenburg Stella Frank, University of Copenhagen Nikolai Ilinykh, CLASP, University of Gothenburg Beáta Megyesi, Uppsala University Felix Morger, Språkbanken Text, University of Gothenburg Joakim Nivre, RISE and Uppsala University Magnus Sahlgren, AI Sweden Sara Stymne, Uppsala University Jörg Tiedemann, University of Helsinki Lilja Øvrelid, University of Oslo --- Adam Ek PhD Student Centre for Linguistic Theories and Studies in Probability (CLASP) Department of Philosophy, Linguistics and Theory of Science University of Gothenburg adam.ek(a)gu.se

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[Fully-Funded PhD Position] in Multimodal Meeting Summarization: Deadline 27 Feb
by muskaan singh 26 Feb '23

26 Feb '23

We are inviting applications for a fully funded Ph.D. position in Multimodal Meeting Summarization at the Cognitive Analytics Research Lab (CARL) of the Intelligent Systems Research Centre from the School of Computing, Engineering, and Intelligent Systems, Ulster University. The project aims to generate automatic minutes of the meeting for multi-party dialogues using textual, audio, visual, and cognitive modalities. The position is in collaboration with Dr. Muskaan Singh, Ulster University, and Prof.Damien Coyle, Director of The Bath Institute for the Augmented Human (University of Bath) and a UKRI Turing AI Acceleration Fellow 2021-25. *The deadline is due by Monday, 27 February 2023, 4.00 PM UK time. The interviews are scheduled for 18 April with an expected starting date of 18 September.* he applicants should hold a masters (or be close to completion) or have equivalent work experience and a publication record. Solid knowledge of Machine Learning models applied to Natural Language Processing and Deep Learning is required, as is excellent programming skills in Python and deep learning frameworks (esp. Keras, TensorFlow or PyTorch). The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £18,000 (TBC) per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the Ph.D. researcher. For more information and application, please visit, https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455768 Please feel free to get in touch with any queries. *Dr. Muskaan Singh* Lecturer (~Assistant Professor) in Data Analytics Cognitive Analytics Research Lab (CARL), Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems *Room MS138 | Magee Campus | Londonderry | BT48 7JL * *E:* m.singh(a)ulster.ac.uk *W:* https://pure.ulster.ac.uk/en/persons/muskaan-singh

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Call for papers- Third Workshop on Speech and Language Technologies for Dravidian Languages -(DravidianLangTech-2023)
by Bharathi Raja Asoka Chakravarthi 25 Feb '23

25 Feb '23

Apologies for cross posting The Third Workshop on Speech and Language Technologies for Dravidian Languages -(DravidianLangTech-2023) Link: https://dravidianlangtech.github.io/2023/ The development of technology increases our internet use and most of the world's languages adapt to it. Whereas the local or under-resourced languages still pose challenges as they still lack effective technology developments on their languages, one such language family is the Dravidian family of languages. Dravidian languages <https://en.wikipedia.org/wiki/Dravidian_languages> are majorly spoken in south India and in small pockets in Nepal, Pakistan, Sri Lanka and a few other places in South Asia. Even though the Proto Dravidian language is 4,500 years old, still the languages of this family are under-resourced in speech and natural language processing. The Dravidian languages are divided into four major groups: South, South-Central, Central, and North groups. Dravidian morphology is agglutinating in that it is exclusively suffixal in nature. Syntactically, Dravidian languages are head-final and left-branching. They are free-constituent order languages. To improve access to and production of information for monolingual speakers of Dravidian languages, it is necessary to have speech and languages technologies. The aim of the proposed workshops is especially to prevent the Dravidian languages from extinction in the context of their use of technology. This is planned to be the first workshop of this kind on speech and language technologies for Dravidian languages. The broader objective of DravidianLangTech-2023 will be - To investigate challenges related to speech and language resource creation for Dravidian languages. - To promote research in speech and language technology of Dravidian languages. - To adopt to an appropriate language technology models which suit Dravidian languages - To provide opportunities for researchers from the Dravidian language community from around the world to collaborate with other researchers. Call for Papers DravidianLangTech-2023 welcomes theoretical and practical paper submission on any Dravidian languages (Tamil, Kannada, Malayalam, Telugu, Tulu, Allar, Aranadan, Attapadya, Kurumba, Badaga, Beary, Betta Kurumba, Bharia, Bishavan, Brahui, Chenchu, Duruwa, Eravallan, Gondi, Holiya, Irula, Jeseri, Kadar, Kaikadi, Kalanadi, Kanikkaran, Khiwar, Kodava, Kolami, Konda, Koraga, Kota, Koya, Kurambhag Paharia, Kui, Kumbaran, Kunduvadi, Kurichiya, Kurukh, Kurumba, Kuvi, Madiya, Mala Malasar, Malankuravan, Malapandaram, Malasar, Malto, Manda, Muduga, Mullu Kurumba, Muria, Muthuvan, Naiki, Ollari, Paliyan, Paniya, Pardhan, Pathiya, Pattapu, Pengo, Ravula, Sholaga, Thachanadan, Toda, Wayanad Chetti, and Yerukala) that contributes to research in language processing, speech technologies or resources for the same. We will particularly encourage studies that address either practical application or improving resources for a given language in the field. We invite submissions on topics that include, but are not limited to, the following: - Code-mixing/Code-switching - Cognitive Modeling and Psycholinguistics - Computer-assisted language learning (CALL) - Corpus development, tools, analysis and evaluation - COVID-19 alert, NLP Applications for Emergency Situations and Crisis Management - Equality, Diversity, and Inclusion - Fake News, Spam, and Rumor Detection - Hate speech detection and Offensive Language Detection - Lexicons and Machine-readable dictionaries - Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics - Machine Translation, Sentiment Analysis, and Text summarization - Multimodal Analysis - Speech technology and Automatic Speech Recognition Important dates - First call for workshop papers: 15 February 2023 - Second call for workshop papers: 15 March 2023 - Workshop paper due: 10 July 2023 - Notification of acceptance: 5 August 2023 - Camera-ready papers due: 20 August 2023 - Workshop dates: 8 September 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 , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Special Issue on Language Technology for Safer Online Social Media Platforms in Low-resource Eurasian Languages <https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Lang…> Cyber-Social Issues Prediction in Low-Resource Languages with Deep Internet of Things (DIoT) <https://dl.acm.org/pb-assets/static_journal_pages/tallip/pdf/TALLIP-SI-Pred…>

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Call for Participation for IWSLT 2023 Simultaneous Translation Task
by pwli330＠gmail.com 24 Feb '23

24 Feb '23

Dear all, We cordially invite you to take part in the simultaneous speech translation task <https://iwslt.org/2023/simultaneous> at IWSLT 2023 <https://iwslt.org/2023/>, the 20th edition of the conference! As with previous years, the task will include a speech-to-text track in three languages: English to German, English to Japanese, and English to Chinese. Additionally, we are introducing a new *speech-to-speech track*. Different from previous years, we will adopt a single latency constraint for simplified submission. Here are important dates for the evaluation campaign: Jan 14, 2023: Release of shared task training and dev data Apr 1-15, 2023: Evaluation period Apr 24, 2023: Scientific paper submission deadline May 22, 2023: Notification of acceptance June 6, 2023: Camera ready paper due July 12, 2023: Pre-recorded video due If you have any queries or comments regarding the task description, please do not hesitate to reach out to us. Best Regards, On behalf of the simultaneous shared task organization team <https://iwslt.org/2023/simultaneous#organizers>, Pengwei Li

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2-year Postdoc position in NLP at Cental (University of Louvain, Belgium)
by pat 24 Feb '23

24 Feb '23

(Deadline extension) UCLouvain is looking for: a postdoctoral researcher in machine learning / natural language processing - Full-time (100%) fixed-term contract of two years - for the Centre de traitement automatique du langage (Cental) within the Institut Langage & Communication (IL&C) in UCLouvain (Louvain-la-Neuve) - Start date : as soon as possible This postdoctoral position offer is part of a research project led by the Cental (https://uclouvain.be/fr/instituts-recherche/ilc/cental) around legal data processing. Regarding the concrete application, the project aims at automatizing the analysis of documents related to clinic trials (meeting minutes, legal documents, contracts, ...) to assess their compliance to RGPD. The proposed solution should thus be flexible enough to, on one hand, ensure that the model(s) can be adapted to the various document types and, on the other hand, limit the need of specialists' expertise for training data annotation. In consequence, the scientific core of this project is directly related fo the question of few-shot learning, which we intend to address through active learning and meta-learning. The role of the hired postdoc will be to (1) develop the resources needed for learning, (2) implement an architecture that incorporates active learning and meta-learning, (3) evaluate the models and (4) implement the components into a web service. The postdoc will also be required to disseminate the results through scientific publications and/or reports. Work environment: CENTAL is part of the Institut Langage & Communication ( https://uclouvain.be/fr/instituts-recherche/ilc), in UCLouvain. This university is located in Louvain-la-Neuve, Belgium ( https://uclouvain.be/fr/sites/louvain-la-neuve), a walkable city, that offers a pleasant and dynamic living environment. The research project will be supervised by Patrick Watrin. Required skills: - A completed PhD in Computer Science, Machine Learning, NLP or a similar domain. - Excellent programming skills: - Python - TensorFlow/Keras or PyTorch - Linux (server administration) - Knowledge of the main supervised learning algorithms and deep learning algorithms is required - A good knowledge of the main NLP tools and algorithms is a plus - Strong research track record (publications, conferences, etc.) - Autonomy, teamwork, ability to understand and analyze needs, adaptability - Excellent command of the French language (at least C1) and good command of English (at least B2) Conditions: - Fixed-term contract of one year, renewable once - Salary based on experience, ranging from 4250€ to 4850€ (monthly, gross) The position requires residency in Belgium. Candidates from outside the EU are responsible for obtaining the adequate visa and/or permits, with support from the UCLouvain. How to apply: - Deadline : March 31 - The application file should be sent electronically to Patrick Watrin ( patrick.watrin(a)uclouvain.be) and contain: - A detailed resume showing the adequate qualifications and skills, as well and the scientific/academic experiences and publications; - A cover letter in french, describing your interest for the role, how your profile complies with the project's needs, etc.; - A recommendation letter in french or in english. The shortlisted candidates will be invited to participate in a remote videocall (details will be communicated in a timely manner).

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Call for papers - Workshop Discourse studies and linguistic data science - DiSLiDaS 2023
by Purificação Silvano 24 Feb '23

24 Feb '23

Call for papers Workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing - DiSLiDaS 2023 University of Vienna, Vienna, Austria 12-13 September 2023 (TBA) Website: http://dislidas.mozajka.co<http://dislidas.mozajka.co/> The fourth biennial conference on Language, Data and Knowledge (LDK 2023) (http://2023.ldk-conf.org<http://2023.ldk-conf.org/>) and Cost Action CA18209 NexusLinguarum (https://nexuslinguarum.eu<https://nexuslinguarum.eu/>) are glad to announce the second workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing – DiSLiDaS 2023. *Conference aims and topics* The workshop aims to follow through the topics discussed during DiSLiDaS 2022 (https://dislidas.mozajka.co/?page_id=211) and to gather current research advances in discourse analysis and representation, in the context of multilinguality, from a linguistic and computational perspective. We invite submissions addressing challenges such as interoperability, linguistic linked open data (LLOD), and language processing and analysis. The workshop topics are the following (but not limited to): ● Discourse and dialogue annotation: Parsing and representation across languages and frameworks ● Discourse markers and discourse relations (RST, PDTB, SDRT): Identification, prediction and extraction ● Attitudes discovery and interpretation in Discourse: Appraisal and sentiment ● Effects of multimodality on discourse interpretation: Intonation, gesture and text ● Interoperability for Multilingual language data: Challenges of rich and distributed data ● Discourse data and machine learning: Methods and tools Discourse comprises a wide variety of linguistic phenomena, such as discourse markers, discourse relations, and speaker attitude, which have been largely studied by different communities of practice from Linguistics and Computation, rendering several theoretical frameworks (for instance, RST, SDRT, PDTB, for discourse relations; appraisal theory for sentiment analysis,...), and technological approaches, such as transformer models, embeddings and alike. Nonetheless, there are open issues concerning interoperability, multilinguality, and language processing, in particular, the existence of different annotation schemas, disambiguation, lack of training data for machine learning, scarcity of effective language phenomena detection and interpretation methods, diverse vocabularies, insufficient multilingual parallel corpora of non-dialogue and dialogue, initial stages of exploration of multimodality. Discourse research is one of the central research areas of natural language processing (NLP) too. NLP research focuses on the formalisation, identification and discovery of semantic phenomena, dialogue exchange structure, and text coherence. Some of the technological approaches of NLP include the use of transformer models, word embeddings, linguistic linked open data, the constitution of aligned multilingual corpora, vocabularies of language phenomena and alike. Computational discourse explores the evidence that language consists not only of placing words in the right order but also of detecting and interpreting the meaning and deeper textual relations and organising ideas into a logical flow. The linguistic approaches study language phenomena referring to coherence and cohesiveness of discourse, lexical, phrasal, syntactic, semantic and pragmatic means to express discourse relations, represent their roles and build language resources for them. Despite all the advances, there are still plenty of unresolved problems related to interoperability, multilinguality, and language processing. With the growth of the Semantic Web and Linguistic Linked Data, interoperability is key to reading, interpreting and adopting language resources. The existence of different annotation schemas to encode discourse relations constitutes a problem for data exchange and reuse and for theoretical consistency. The treatment of multilinguality is also complicated because of the insufficiency of multilingual parallel corpora of collections of non-dialogue and dialogue texts, which would allow systematic contrastive studies. As to language processing, the lack of training data for machine learning, coupled with the scarcity of effective language phenomena detection and interpretation methods, the coexistence of diverse vocabularies, and the minimal attention to the contribution of the tone of voice, intonation, gestures to the meaning and the informative value of discourse elements make the task of discourse processing still very challenging. The workshop intends to be a discussion forum for researchers interested in addressing the aforementioned challenges and advancing the state-of-art in discourse studies and linguistic data science. *Programme* The Scientific Programme will include one invited talk and oral presentations. Invited Speaker Johan Bos, University of Groningen *Submissions* Submissions can be in the form of: • long papers: 9–12 pages; • short papers: 4–6 pages. All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates should therefore be used for all conference submissions. As the reviewing process is single-blind, submissions should not be anonymised. The workshop will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the workshop (either remotely or on-site). There will be no registration fee administered for participating in DiSLiDaS 2023. Submissions must be submitted electronically via EasyChair: https://easychair.org/conferences/?conf=dislidas2023 *Important dates* Time Zone: Anywhere on Earth Papers due: May, 19, 2023 Papers acceptance notifications: June, 16, 2023 Camera-ready papers due: June, 30, 2023 *Programme Committee* Elena-Simona Apostol, University Politehnica of Bucharest, Romania Harry Bunt, Tilburg University, Netherlands Maria Josep Cuenca, Universitat de València Debopam Das, Humboldt University of Berlin, Germany Jorge Garcia, University of Zaragoza, Spain Mikel Iruskieta, University of the Basque Country, Spain António Leal, University of Porto, Portugal Chaya Liebeskind, Jerusalem College of Technology, Israel Amália Mendes, University of Lisbon, Portugal Maciej Ogrodniczuk, Polish Academy of Sciences, Poland Giedre Valunaite Oleskevicienė, Mykolas Romeris University, Lithuanian Georg Rehm, DFKI GmbH, Germany Ted Sanders, Utrecht University, Netherlands Merel Scholman, University of Saarland, Germany Dimitar Trajanov, Ss. Cyril and Methodius University, North Macedonia Radoslava Trnavac, University of Belgrade, Serbia Ciprian-Octavian Truica, University Politehnica of Bucharest, Romania Amir Zeldes, The Georgetown University, USA *Organising Committee* Purificação Silvano, University of Porto, Portugal Mariana Damova, Mozaika, Ltd., Bulgaria Christian Chiarcos, Goethe-Universität, Germany Anna Bączkowska, University of Gdansk, Poland *Contact* organizers(a)dislidas.mozajka.co<mailto:organizers@dislidas.mozajka.co><mailto:organizers@dislidas.mozajka.co>

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Call for SEPLN Best PhD Thesis Award (May 2nd)
by aitziber.atucha＠ehu.eus 24 Feb '23

24 Feb '23

[Apologies for cross-posting] At the end in English. EDICIÓN XXII PREMIO SEPLN A LA MEJOR TESIS DOCTORAL EN PROCESAMIENTO DEL LENGUAJE NATURAL [Plazo de presentación: 2 de mayo de 2023] La Sociedad Española para el Procesamiento del Lenguaje Natural convoca la Edición XXII del Premio SEPLN a la Mejor Tesis Doctoral en Procesamiento del Lenguaje Natural, que se regirá por las siguientes bases: La finalidad de este premio es la promoción y divulgación de la investigación en el campo del procesamiento del lenguaje natural. La tesis será premiada con una computadora portátil compacta (tablet). Se dará entrega del premio en el 39 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2023), tras una breve presentación del trabajo premiado por parte del autor. Para poder concursar, el autor de la tesis doctoral debe ser socio de la SEPLN en el momento de presentar el trabajo. Ninguna persona concursante podrá participar como autora en más de un trabajo. Se podrán presentar a concurso tesis doctorales leídas durante el año 2022, escritas en una lengua del Estado español o en lengua inglesa. Además de la tesis completa, es imprescindible enviar: Un breve resumen de 4 páginas donde claramente se indique el tema y la relevancia de la investigación, los objetivos, métodos, resultados alcanzados y contribuciones. Una breve descripción de la trayectoria científica del autor de la tesis, en la que se describa la participación en actividades científicas como organización de de tareas competitivas, congresos, generación de recursos open access como conjuntos de datos, modelos de lenguaje, etc., y participación en proyectos, contratos, y/o patentes. La calidad de la presentación, la corrección técnica y metodológica, la relevancia, originalidad, la generación, evaluación y publicación de recursos, así como la trayectoria investigadora durante el periodo predoctoral serán los criterios empleados para la adjudicación del premio por parte del jurado. Los trabajos se enviarán a través de la web de la revista de la Sociedad (http://journal.sepln.org) en formato PDF antes del 2 de mayo de 2023. La resolución del premio se comunicará durante el 39 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2023). Documento con las instrucciones (aquí) Para más información dirigirse a aitziber.atucha(a)ehu.eus 22nd EDITION OF THE SEPLN AWARD TO THE BEST DOCTORAL THESIS IN NATURAL LANGUAGE PROCESSING [Submission deadline: May 2nd, 2023] The Spanish Society for Natural Language Processing announces the 22 Edition of the SEPLN Award for the Best Doctoral Thesis in Natural Language Processing, which will be governed by the following bases: The purpose of this award is the promotion and dissemination of research in the field of natural language processing. The thesis will be awarded with a compact laptop (tablet). The award will be presented at the 39th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2023), after a brief presentation of the award-winning work by the author. In order to compete, the author of the doctoral thesis must be a member of the SEPLN at the time of submitting the work. No contestant may participate as an author in more than one work. Doctoral theses read during the year 2023, written in a language of the Spanish State or in English, may be submitted to competition. In addition to the complete thesis, it is essential to send: a 4-page summary of the thesis, clearly describing the topic and the relevance of the research, the objectives, methods, results achieved and contributions. a brief description of the scientific career of the author of the thesis, detailing the participation in scientific activities such as organization of competitive tasks, congresses, generation of open access resources such as sets of data, language models, etc., and participation in projects, contracts, and/or patents. The quality of the presentation, the technical and methodological correctness, the relevance, originality, the generation, evaluation and publication of resources, as well as the research trajectory during the pre-doctoral period will be the criteria used for the award of the prize by the jury. The works will be submitted through the website of the Society's magazine (http://journal.sepln.org) in PDF format before May 2nd 2023. The final decision will be communicated during the 39th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2023). Submission instructions (http://www.sepln.org/sites/default/files/noticia/documentos_relacionados/20…) For more information: aitziber.atucha(a)ehu.eus

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[PhD-Position] Research Position in Speech- and Text Anonymization in Medical Domain in Berlin - deadline approaching
by Polzehl, Tim, PD Dr.-Ing. 24 Feb '23

24 Feb '23

Dear colleagues, we have a new PhD vacancy in the field of speech- and text anonymization in the medical domain in Berlin, Germany. The position is in the “Medinym” project of the department of Quality and Usability Labs of Berlin Institute of Technology. We’re looking for a Researcher or Junior Researcher level, offer a 2 years contract with optional prolongation and PhD perspective. Application deadline: Feb 28 More details and how to apply: TU Berlin: https://www.jobs.tu-berlin.de/en/job-postings/161912 Please circulate upon potentially interested. Many thanks! In case of questions pls contact me, I'm happy to help. Best regards from Berlin, Tim -- Dr.-Ing. Tim Polzehl Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab Ernst-Reuter-Platz 7 D-10587 Berlin, Germany Email: tim.polzehl(a)qu.tu-berlin.de Web: www.qu.tu-berlin.de

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Job Opportunity: Research Position in Speech Signals Analysis and Quality Assessment
by Hillmann, Stefan, Dr. 24 Feb '23

24 Feb '23

Dear all, We are excited to announce an open fulltime position for a researcher (phd possible, salary grade E 13 TV-L Berliner Hochschulen) in the field of speech signals analysis and assessment of speech quality in different mobile and fixed networks. The ideal candidate will have a passion for analyzing speech signals in listening-only and conversational situations, and will be responsible for developing signal-based and parametric models for the estimation of speech quality. One of the main focuses of the research will be the evaluation of new speech codecs in different network scenarios. Additionally, the models will be validated based on subjective listening and conversation tests. For this purpose, methods of crowdsourcing can be applied, where real users will carry out data collection and/or evaluation via an online platform. It will be scientifically interesting to compare crowdsourced data to those obtained under laboratory conditions. The position is located in Berlin, Germany at the Quality and Usability Lab of Technische Universität Berlin. If you are interested in joining our team and have a background in speech signals analysis or quality assessment, please find the full job description provided under this link: https://tubcloud.tu-berlin.de/s/spSGFYipWsPsDBq . We look forward to hearing from you! Best regards, Stefan Hillmann -- Dr.-Ing. Stefan Hillmann (er/sein, he/his) Wissenschaftlicher Mitarbeiter Senior Researcher Technische Universität Berlin Fakultät IV, Elektrotechnik und Informatik Quality and Usability Lab EECS, Electrical Engineering and Computer Science Quality and Usability Lab Straße des 17. Juni 135, 10623 Berlin GERMANY stefan.hillmann(a)tu-berlin.de https://tu.berlin/index.php?id=29495 ORCID: https://orcid.org/0000-0002-0795-9834 https://www.tu.berlin/qu

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Publications on ethics and NLP in languages other than English
by Kevin B. Cohen 23 Feb '23

23 Feb '23

Dear CORPORA list members, I am searching for publications on ethics and NLP *in languages other than English*. I already have a fairly comprehensive list of French-language papers, and would like to ensure that I cover other languages, as well. But, being an American, of course I am monolingual, and don't know how to search for relevant non-English publications. Any help would be much appreciated. Best wishes for a happy Thursday (and I was kidding--I do speak French), Kevin Cohen -- Kevin Bretonnel Cohen, PhD Director, Biomedical Text Mining Group Computational Bioscience Program, U. Colorado School of Medicine D'Alembert Chair in Natural Language Processing for the Biomedical Domain (Emeritus), LIMSI, CNRS, Université Paris-Saclay 303-916-2417 http://compbio.ucdenver.edu/Hunter_lab/Cohen

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Edge Hill Corpus Research Group
by Costas Gabrielatos 23 Feb '23

23 Feb '23

Edge Hill Corpus Research Group Next meeting: Thursday 2 March 2023, 2-4 pm (UK time) Topic: Manual Annotation for Discourse-Oriented Corpus Studies Registration (free): https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Presentations: -- Katia Adimora (Edge Hill University): Annotating Mexican immigration discourses -- Dan Malone (Edge Hill University): A lone wolf from the ISIS pack: Hunting discourses through manual annotation Abstracts: https://sites.edgehill.ac.uk/crg/next ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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Deadline extension: CFP: Language Technologies and Digital Humanities: Resources and Applications (LTаDH-RA)
by Kiril Simov 23 Feb '23

23 Feb '23

Deadline extension: 05.03.2023 Language Technologies and Digital Humanities: Resources and Applications (LTаDH-RA) CLaDA-BG 2023 Conference https://clada-bg.eu/en/dissemination/events/international-clada-bg-conferen… Sofia, Bulgaria 10-12 May 2023 CLaDA-BG is the Bulgarian national research infrastructure for resources and technologies for linguistic, cultural and historical heritage, integrated within CLARIN EU and DARIAH EU. Its mission is to provide access to the necessary resources and technologies that would support the research in Social Sciences and Humanities (SS&H). Modeling and linking of various types of knowledge and its contexts is crucial for the successful research in the interdisciplinary field of resources and technologies related to language, culture and history. This is the second edition of the CLaDA-BG conference. It aims at bringing together NLP developers, linguists, digital humanitarians, scholars and all parties interested in knowledge modeling and linking data for research. Topics of Interest The topics include, but are not limited to, the following ones: Problems in SS&H – research methods, technological support Language technologies for sentiment analysis, semantic technologies, trust-worthiness of knowledge graphs, ethical challenges in digital SS&H Knowledge Modeling and Elicitation for digital SS&H Specific Language Resources and Technologies for historical texts, parliamentary records, speech and multimodal corpora, social media data The role of digital libraries, archives and museums in digital SS&H research Language Interface to Knowledge Graphs in SS&H Knowledge-modeled and linked applications in SS&H Best practices and new trends in Knowledge Modeling and Linking for language, culture and history Invited Speakers Alessandro Lenci, Università di Pisa, Italy Erhard Hinrichs, Leibniz Institut für Deutsche Sprache Mannheim and Tübingen University, Germany Milena Dobreva, Sofia University St Kliment Ohridski, Bulgaria TBA Important Dates Submission deadline: new deadline: 05.03.2023 Notification of acceptance: 3.04.2023 Final Submission: 3.05.2023 Conference: 10-12.05.2023 Submissions We welcome oral presentations or posters (optionally with demo). There are two modes of submissions: Full papers (6 to 12 pages) or extended abstracts (3-5 pages, references excluded) in PDF format, in accordance with the Springer Computer Science Proceedings (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…). Please submit your full paper or extended abstract in PDF to this EasyChair link: https://easychair.org/my/conference?conf=ltdhra2023 For contacting organizers please use the following email: ltadh-ra(a)bultreebank.org The CLaDA-BG Organizer

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Reminder: PhD fellowship in NLP (event extraction), University of Oslo
by Erik Velldal 23 Feb '23

23 Feb '23

[Apologies for cross-posting] A fully-funded position as PhD Research Fellow in Natural Language Processing is available in the Language Technology Group (LTG) in the Machine Learning Section at the Department of Informatics, University of Oslo (UiO), Norway. The 3-year position is affiliated with a new research project dubbed Peace Science Infrastructure (PSI), focusing on event extraction in the domain of armed conflicts. For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/239414/phd-research-fellow-i… The closing date is February 28th, 2023. Please do not hesitate to contact me for any further information. Best regards, -erik -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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2nd Call for participation: DISRPT 2023 - Shared Task on Discourse Relation Parsing and Treebanking
by Chloé Braud 22 Feb '23

22 Feb '23

2nd Call for Participation: DISRPT 2023Shared Task on Discourse Relation Parsing and Treebanking In conjunction with CODI 2023, ACL 2023 - 14 July 2023 News: the training and dev data sets have been released on our github: https://github.com/disrpt/sharedtask2023. Now you can start training your systems! Surprise datasets will be released along with the test sets in about two months! Get excited! News: please join us on the google group disrpt2023_participants(a)googlegroups.com and on the dedicated Discord channel https://discord.gg/JDdjhXaK This year, we are organizing DISRPT 2023 as a shared task on discourse processing across formalisms, for a variety of languages and genres. It is the third iteration of a cross-formalism shared task on discourse analysis, with three subtasks: * Task 1: discourse segmentation * Task 2: connective identification * Task 3: relation classification We will provide training, development and test datasets from all available languages in RST, SDRT, PDTB and Discourse Dependencies using a uniform format. Because different corpora, languages, and frameworks use different guidelines, the shared task will promote the design of flexible methods for dealing with various guidelines, and will help to push forward the discussion of converging standards for discourse units, discourse relations and discourse markers. For datasets which have treebanks, we will evaluate segmentation in two different scenarios: with and without gold syntax. An automatically parsed version is provided for all corpora without a gold parse. Shared Task Data and Formats Data for the shared task is released via GitHub together with format documentation and tools: https://github.com/disrpt/sharedtask2023 See here for more information about the previous shared tasks: * 2019: https://sites.google.com/view/disrpt2019/shared-task * 2021: https://sites.google.com/georgetown.edu/disrpt2021/ Tentative Schedule: * 25 January 2023 – Sample data released * 21 February 2023 – Train / dev data release * 15 April 2023 – Test data release * 8 May 2023 – Submission of system and paper * 22 May 2023 - Notification of acceptance * 1 June 2023 - Camera-ready paper due (This date has been modified since the 1st call) * 14 July 2023 - CODI Workshop at ACL Information: Contact the organizers: disrpt_chairs(a)googlegroups.com Official website: https://sites.google.com/georgetown.edu/disrpt2021 Google group for participants, please join us on: disrpt2023_participants(a)googlegroups.com Discord group for participants, please join us on: https://discord.gg/JDdjhXaK Organization: * Amir Zeldes (Georgetown University, Washington, DC, USA) * Janet Liu (Georgetown University, Washington, DC, USA) * Philippe Muller (IRIT, University of Toulouse, Toulouse, France) * Chloé Braud (IRIT, CNRS, Toulouse, France) * Laura Rivière (IRIT, University of Toulouse, Toulouse, France) * Attapol Te Rutherford (Faculty of Arts Chulalongkorn University, Bangkok, Thaïland)

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PhD fellowship in explainable semantic change detection, University of Oslo
by Andrey Kutuzov 22 Feb '23

22 Feb '23

[Apologies for cross-posting] I am looking for a PhD student interested in studying explainable semantic change detection. Current computational approaches to modeling synchronic and diachronic semantic change achieve considerable success as measured by scores in shared tasks and the number of research papers. But they are mostly non-transparent and obscure for historical linguists and lexicographers. One of the reasons is that these methods lack explanatory power. This PhD project is supposed to address this issue. The overall aim is to transform numerical change predictions into human-readable explanations linked to rich linguistic tradition of semantic shift categorization. We will define particular paths towards this aim jointly, in discussion with the PhD student. The position is fully-funded and linked to the Language Technology Group (LTG) in the Machine Learning Section at the Department of Informatics, University of Oslo (UiO), Norway. The fellowship period is 3 years, starting no later than August 2023. A fourth year may be considered with a workload of 25 % that may consist of teaching, supervision duties, and/or research assistance. For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/239381/phd-research-fellow-i… The application deadline is February 28th, 2023. Please feel free to contact me for any further information. -- Andrey Associate professor Language Technology Group (LTG) University of Oslo

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Final CFP: LoResMT 2023 at EACL 2023
by Atul K. Ojha 22 Feb '23

22 Feb '23

The Sixth Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT 2023) https://www.loresmt.org/ *@ EACL 2023 (May 2–6, 2023)*Valamar Lacroma Dubrovnik Hotel, Iva Dulčića 34, 20000, Dubrovnik, Croatia SUBMISSION *https://softconf.com/eacl2023/LoResMT2023* <https://softconf.com/eacl2023/LoResMT2023> TIMELINE Paper due: February 22, 2023 *March 02 2023*,* at 23:59 (Anywhere on Earth*) Notification of acceptance: March 23, 2023 Camera-ready papers due: *April** 01, 2023, at 23:59 (Anywhere on Earth)* Conference dates: May 2-6, 2023 SCOPE Based on the success of past low-resource machine translation (MT) workshops at AMTA 2018 (https://amtaweb.org/), MT Summit 2019 ( https://www.mtsummit2019.com), AACL-IJCNLP 2020 (http://aacl2020.org/), AMTA 2021, COLING 2022, we introduce the Sixth Workshop. The workshop provides a discussion panel for researchers working on MT systems/methods for low-resource and under-represented languages in general. We would like to help review/overview the state of MT for low-resource languages and define the most important directions. We also solicit papers dedicated to supplementary NLP tools that are used in any language and especially in low-resource languages. Overview papers on these NLP tools are very welcome. It will be beneficial if the evaluations of these tools in research papers include their impact on the quality of MT output. TOPICS We are highly interested in (1) original research papers, (2) review/opinion papers, and (3) online systems on the topics below; however, we welcome all novel ideas that cover research on low-resource languages. - COVID-related corpora, their translations and corresponding NLP/MT systems - Neural machine translation for low-resource languages - Work that presents online systems for practical use by native speakers - Word tokenizers/de-tokenizers for specific languages - Word/morpheme segmenters for specific languages - Alignment/Re-ordering tools for specific language pairs - Use of morphology analyzers and/or morpheme segmenters in MT - Multilingual/cross-lingual NLP tools for MT - Corpora creation and curation technologies for low-resource languages - Review of available parallel corpora for low-resource languages - Research and review papers on MT methods for low-resource languages - MT systems/methods (e.g. rule-based, SMT, NMT) for low-resource languages - Pivot MT for low-resource languages - Zero-shot MT for low-resource languages - Fast building of MT systems for low-resource languages - Re-usability of existing MT systems for low-resource languages - Machine translation for language preservation SUBMISSION INFORMATION We are soliciting two types of submissions: (1) research, review, and position papers and (2) system demonstration papers. For research, review and position papers, the length of each paper should be at least four (4) and not exceed eight (8) pages, plus unlimited pages for references. For system demonstration papers, the limit is four (4) pages. Submissions should be formatted according to the official EACL 2023 style templates (LaTeX, Word, Overleaf). Accepted papers will be published online in the EACL 2023 proceedings and will be presented at the conference. Submissions must be anonymized and should be done using the official conference management system (which will be available in the following weeks). Scientific papers that have been or will be submitted to other venues must be declared as such and must be withdrawn from the other venues if accepted and published at LoResMT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. ORGANIZING COMMITTEE (LISTED ALPHABETICALLY) Atul Kr. Ojha, University of Galway & Panlingua Language Processing LLP Chao-Hong Liu, Potamu Research Ltd Ekaterina Vylomova, University of Melbourne, Australia Jade Abbott, Retro Rabbit Jonathan Washington, Swarthmore College Nathaniel Oco, National University (Philippines) Tommi A Pirinen, UiT The Arctic University of Norway, Tromsø Valentin Malykh, Huawei Noah’s Ark lab and Kazan Federal University Varvara Logacheva, Skolkovo Institute of Science and Technology Xiaobing Zhao, Minzu University of China PROGRAM COMMITTEE (LISTED ALPHABETICALLY) Alberto Poncelas, Rakuten, Singapore Alina Karakanta, Fondazione Bruno Kessler Amirhossein Tebbifakhr, Fondazione Bruno Kessler Anna Currey, Amazon Web Services Aswarth Abhilash Dara, Amazon Arturo Oncevay, University of Edinburgh Bharathi Raja Chakravarthi, University of Galway Beatrice Savold, University of Trento Bogdan Babych, Heidelberg University Constantine Lignos, Brandeis University, USA Daan van Esch, Google Diptesh Kanojia, University of Surrey, UK Duygu Ataman, University of Zurich Eleni Metheniti, CLLE-CNRS and IRIT-CNRS Francis Tyers, Indiana University Kalika Bali, MSRI Bangalore, India Koel Dutta Chowdhury, Saarland University (Germany) Jade Abbott, Retro Rabbit Jasper Kyle Catapang, University of the Philippines John P. McCrae, DSI, Univerity of Galway Kevin Patrick Scannell, Saint Louis University Liangyou Li, Noah’s Ark Lab, Huawei Technologies Maria Art Antonette Clariño, University of the Philippines Los Baños Majid Latifi, University of York, York, UK Mathias Müller, University of Zurich Monojit Choudhury, Microsoft Turing Rajdeep Sarkar, Univerity of Galway Rico Sennrich, University of Zurich Sangjee Dondrub, Qinghai Normal University Santanu Pal, WIPRO AI Sardana Ivanova, University of Helsinki Shantipriya Parida, Silo AI Sunit Bhattacharya, Charles University Surafel Melaku Lakew, Amazon AI CONTACT Please email loresmt(a)googlegroups.com if you have any questions/comments/suggestions.

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Invitation to join ACL SIGTURK
by Duygu Ataman 22 Feb '23

22 Feb '23

(Please find Turkish and Russian Translations below.) We are excited to invite you to join SIGTURK, the new ACL special interest group working on improving and promoting computational linguistics in Turkic languages. As a product of our recent initiatives for preparing public resources for language studies in Turkic languages, including pre-trained language models, evaluation benchmarks and multilingual corpora that can be used throughout the community of researchers working on topics around natural language processing, linguistics and are interested in Turkic languages or related problems around low-resourced languages and few shot learning, we are happy to officially have the opportunity to foster a new interdisciplinary scientific community aiming to promote an inclusive and diverse environment for exchanging ideas, promoting collaborations and allowing language research and technologies become applicable in more languages and domains. As part of our ongoing projects, we have recently started working on a new multilingual natural language processing benchmark in Turkic languages, and one of our future plans is also to hold an annual workshop to allow productive knowledge exchange and collaborations. As an international community of researchers from all over the world already composed of scientists and professionals from many different backgrounds, we would be glad to see anyone interested in joining our group and we are happy to welcome new ideas and promote innovative research in different directions. If you are interested in becoming a member of SIGTURK, please fill out the form below: https://forms.gle/NwWJ8B4LSRfEi2Wx5 <https://urldefense.proofpoint.com/v2/url?u=https-3A__forms.gle_NwWJ8B4LSRfE…> And for more information visit our website: https://sigturk.github.io <https://urldefense.proofpoint.com/v2/url?u=https-3A__sigturk.github.io_&d=D…> Sincerely, Duygu Ataman SIGTURK President Assistant Professor/Faculty Fellow New York University — (Turkish) Merhaba, Sizleri ACL SIGTURK, Türki dillerin doğal dil işlemesinin geliştirilmesi ve yaygınlaştırılması adına kurduğumuz yeni uluslararası çalışma grubuna davet etmekten sevinç duyuyorum. Geçtiğimiz yıl içinde Türkçe ve Türk dillerinde makine çevirisi, dil modellemesi gibi halihazırda sistem oluşturulması için kullanılabilecek hazır geliştirilmiş dil modelleri, ve diğer doğal dil işleme uygulamalarında kullanılabilecek Türki dillerde dilbilim ve doğal dil işleme gruplarının kullanımına açık kaynak ve derlemler hazırlanması gibi konularda faaliyetler organize etmek üzere başlattığımız uluslararası bir çalışma grubunu büyük bir özveriyle resmi bir hale getirmiş bulunuyoruz, şu anda çok dilli bir Türki dil ailesi doğal dil işleme derlemi geliştirilmesi üzerinde çalışmaktayız. Çalışmalarımızı mail grubumuz üzerinden yürütüyoruz, önümüzdeki yıl da projelerimizi paylaşabileceğimiz, ve uluslararası ortamda alanımızda çalışan herkese profesyonel ağlarını geliştirme fırsatı sunabilecek bir çalıştay düzenlemeyi umuyoruz. Grubun bir parçası olmak ve bizimle Türki dillerde dilbilim ve dil işlemesi üzerine çalışan meslektaşlarımızı resmi bir çatı altında toplayarak çalışmalarımıza katkı sağlamak isteyen herkesi aramızda görmekten çok memnun oluruz. Topluluğumuzda şimdiden birçok ülkeden farklı alanlarda Türki diller konuşan, dilbilim ve bilgisayar bilimi de dahil olmak üzere farklı alanlarda çalışan ve gönüllü işbirliği yapmak için oldukça hevesli birçok üyemiz bulunuyor. Gruba aşağıdaki forma iletişim bilgilerinizi ekleyerek kayıt olabilirsiniz. https://forms.gle/NwWJ8B4LSRfEi2Wx5 <https://urldefense.proofpoint.com/v2/url?u=https-3A__forms.gle_NwWJ8B4LSRfE…> Tanıdığınız ve bu alanda çalışmalarımıza katılmak isteyebileceğini düşündüğünüz çalışma arkadaşlarınızı da davet ederseniz çok seviniriz. Daha fazla bilgi için web sitemizi de ziyaret edebilirsiniz. https://sigturk.github.io <https://urldefense.proofpoint.com/v2/url?u=https-3A__sigturk.github.io_&d=D…> Saygılarımla, Duygu Ataman — (Russian) Мы рады пригласить вас присоединиться к SIGTURK, новой специальной группе ассоциации компьютерной лингвистики (ACL SIG), работающей над улучшением и продвижением компьютерной лингвистики для тюркских языков. Наши недавние инициативы по подготовке общедоступных ресурсов для языковых исследований тюркских языков включают предварительно обученные языковые модели, бенчмарки (оценочные тесты) и многоязычные корпуса для исследователей, работающих над темами, связанными с обработкой естественного языка, лингвистикой, и которые интересуются тюркскими языками и для тех, кто интересуется машинным обучением и обработкой естественных языков для малоресурсных языков. Мы рады создать новое междисциплинарное научное сообщество, целью которого является создание инклюзивной и разнообразной среды для обмена идеями, развития сотрудничества и предоставления возможности для языковых исследований и технологий для большого количества языков и областей. В рамках наших текущих проектов мы недавно начали работу над новым эталоном многоязычной обработки естественного языка для тюркских языков, и одним из наших будущих планов также является проведение ежегодного семинара (workshop), чтобы обеспечить продуктивный обмен знаниями и сотрудничество. Как международное сообщество исследователей со всего мира, уже состоящее из ученых и профессионалов из самых разных областей, мы будем рады видеть всех, кто заинтересован в присоединении к нашей группе, и мы рады приветствовать новые идеи и будем рады продвигать инновационные исследования в различных направлениях. Если вы заинтересованы стать членом сообщества, пожалуйста, заполните следующую форму: https://forms.gle/NwWJ8B4LSRfEi2Wx5 <https://urldefense.proofpoint.com/v2/url?u=https-3A__forms.gle_NwWJ8B4LSRfE…> Для дополнительной информации, пожалуйста, посетите наш сайт: https://sigturk.github.io <https://urldefense.proofpoint.com/v2/url?u=https-3A__sigturk.github.io&d=Dw…> C уважением, Дуюгу Атаман - Duygu Ataman, Ph.D. Assistant Professor/Faculty Fellow Courant Institute of Mathematical Sciences New York University

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Rana Malhas, Arabic Reading Comprehension on the Holy Qur’an using CL-AraBERT 24.2.23 12:00
by Eric Atwell 22 Feb '23

22 Feb '23

Please share this invitation with your network thanks Eric Atwell, School of Computing, University of Leeds ________________________________ School of Computing Colloquium, University of Leeds, Friday 24.2.23 12:00 (UK) Guest speaker: Dr Rana Malhas, Qatar University Title: Arabic Reading Comprehension on the Holy Qur’an using CL-AraBERT Venue: Teams Click here to join the meeting<https://emea01.safelinks.protection.outlook.com/ap/t-59584e83/?url=https%3A…> Abstract: In this talk, we tackle the problem of machine reading comprehension (MRC) on the Holy Qur’an to address the lack of Arabic datasets and systems for this important task. We construct QRCD as the first Qur’anic Reading Comprehension Dataset, composed of 1,337 question passage-answer triplets for 1,093 question-passage pairs, of which 14% are multi-answer questions. We then introduce CLassical-AraBERT (CL-AraBERT for short), a new AraBERTbased pre-trained model, which is further pre-trained on about 1.0B-word Classical Arabic (CA) dataset, to complement the Modern Standard Arabic (MSA) resources used in pre-training the initial model, and make it a better fit for the task. Finally, we leverage cross-lingual transfer learning from MSA to CA, and fine-tune CL-AraBERT as a reader using two MSA-based MRC datasets followed by our QRCD dataset to constitute the first (to the best of our knowledge) MRC system on the Holy Qur’an. To evaluate our system, we introduce Partial Average Precision (𝑝𝐴𝑃 ) as an adapted version of the traditional rank-based Average Precision measure, which integrates partial matching in the evaluation over multi-answer and single-answer MSA questions. Adopting two experimental evaluation setups (hold-out and cross validation (CV)), we empirically show that the fine-tuned CL-AraBERT reader model significantly outperforms the baseline fine-tuned AraBERT reader model by 6.12 and 3.75 points in 𝑝𝐴𝑃 scores, in the hold-out and CV setups, respectively. To promote further research on this task and other related tasks on Qur’an and Classical Arabic text, we make both the QRCD dataset and the pre-trained CL-AraBERT model publicly available. ________________________________________________________________________________ Microsoft Teams meeting Join on your computer, mobile app or room device Click here to join the meeting<https://emea01.safelinks.protection.outlook.com/ap/t-59584e83/?url=https%3A…> Meeting ID: 355 926 814 82 Passcode: 4dJRfD Download Teams<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.micr…> | Join on the web<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.micr…> Learn more<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Faka.ms%2…> | Meeting options<https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fteams.mi…> ________________________________________________________________________________

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Call for Participation: shared task on Guarani-Spanish code switching analysis - GUA-SPA at IberLEF 2023
by luischir＠fing.edu.uy 22 Feb '23

22 Feb '23

*** Call for Participation for GUA-SPA at IberLEF 2023 *** GUA-SPA - Guarani-Spanish Code Switching Analysis at IberLEF 2023 https://codalab.lisn.upsaclay.fr/competitions/11030 Guarani is a South American indigenous language that has been in contact with Spanish and other Indo-European languages for about 500 years, which has resulted in many interesting varieties with different levels of mixture. In Paraguay, according to the most recent census, most of the population of the country speak at least some Guarani, and there is a high prevalence of Guarani-Spanish bilingualism. Bilingual speakers often make use of the two languages at the same time, mixing them in different ways, in a phenomenon called code-switching. We propose a challenge for analyzing code-switched texts in Guarani and Spanish, trying to identify the language used in each span of text, the named entities mentioned in the text, and the way Spanish is used. For this, we will provide a corpus of news and tweets where each token is labeled with an appropriate language or category identifier. Three tasks are presented: * Language identification in code-switched data: identify each token in the text as Guarani, Spanish, mix, named entity, or other categories. * Named entity classification: classify the named entities found in the text as locations, organizations or people. * Spanish code classification: classify the spans in Spanish as code changes or unadapted loans. How to participate: If you want to participate in this task, please join our Codalab competition: https://codalab.lisn.upsaclay.fr/competitions/11030 Important Dates: * March 22nd, 2023: training set. * May 24th, 2023: test set and open for submissions. * June 7th, 2023: publication of results. * June 14th, 2023: paper submission. * June 28th, 2023: notification of acceptance. * July 3rd, 2023: camera-ready paper submission. * September, 2023: IberLEF 2023 Workshop.

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Call for Participation: shared task on on binary gender prediction
by Marina Litvak 22 Feb '23

22 Feb '23

Binary Gender Prediction From Long Texts Competition on Classification of authors' binary gender from their writing style Competition site: https://www.kaggle.com/competitions/binary-gender-prediction-from-long-text… Timeline - February 20, 2023: Competitions are published on the website and opened to participants. - February 20, 2023: Registration for the competition. In addition to the registration on Kaggle, also fill out the registration form <https://forms.gle/LhYuGcjnYSBj5YgY6>. - February 20, 2023: Training and validation datasets are available for registered participants. - April 13, 2023: Test dataset available. - April 20, 2023,23:59 UTC: Delivery of results with a short description of the method. This competition is organized in conjunction with the 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) <https://en.sce.ac.il/news/iact23>, which will be held in Taipei, Taiwan on July 27. The ability to accurately determine the binary gender of an author based on their writing style opens up a wealth of possibilities in a variety of fields. In historical document analysis, for example, researchers can gain deeper insights into the role and representation of women in different societies. In forensic investigations, this information can be used to focus the investigation on a smaller and more targeted group, thereby increasing the efficiency and effectiveness of the investigation. By participating in this competition, researchers will have the chance to contribute to this growing field and make a meaningful impact on society. Whether you're a seasoned NLP professional or just starting out, this competition presents a unique opportunity to challenge yourself and take your skills to the next level. So don't miss out on this exciting opportunity to make your mark in the world of IR. Organizers: - Marina Litvak - marinal(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Irina Rabaev - irinar(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Alípio Mário Jorge - amjorge(a)fc.up.pt; University of Porto; Porto, Portugal - Ricardo Campos - ricardo.campos(a)ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal - Adam Jatowt - adam.jatowt(a)uibk.ac.at; University of Innsbruck; Innsbruck, Austria - Vladimir Yonkin - vladiyo(a)ac.sce.ac.il; Shamoon College of Engineering, Beer Sheva, Israel -- Best regards, Marina Litvak

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CFP: The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23)
by Marina Litvak 22 Feb '23

22 Feb '23

Call for Papers: The 1st International Workshop on Implicit Author Characterization from Texts for Search and Retrieval (IACT’23) The workshop will be held in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval Workshop website: https://en.sce.ac.il/news/iact23 July 27, 2023. Taipei, Taiwan. Paper submission deadline: April 25, 2023, AoE Submission link: https://easychair.org/conferences/?conf=iact23 To bring the research community's attention to the limitations of current models at capturing the hidden author characteristics from texts, we organize the first edition of IACT workshops under the umbrella of the SIGIR conference. Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text. All papers must be original and not simultaneously submitted to another journal or conference. The following paper categories are welcome: Research papers: up to 8 pages. Original and high-quality unpublished contributions to the theory and practical aspects of the implicit author characterization task. Full papers should introduce existing approaches and describe the methodology and the experiments conducted in detail. Negative result papers highlighting tested hypotheses that did not get the expected outcome are also welcomed. Shared task papers up to 5 pages. The submissions must be anonymous and will be peer-reviewed by at least two program committee members. Papers must be submitted electronically in PDF format through EasyChair <https://easychair.org/conferences/?conf=iact23>. All submissions must be in English and formatted according to the one-column CEUR-ART style with no page numbers. Templates in Word or LaTeX can be found in the following zip folder at http://ceur-ws.org/Vol-XXX/CEURART.zip. There is also an Overleaf page <https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w…> for LaTeX users. Research works submitted to the workshop should foster the scientific advance on all aspects of implicit author information extraction from text, including but not limited to the following: - Query understanding - Personalized information search and retrieval - Demographics (gender, age, location, etc.) prediction and analysis - Profiling protagonists - Multi-modal, multi-genre, and multilingual author analysis - Detecting implicit expressions of sentiment, emotion, opinion, and bias - Transfer learning for implicit author characterization - Implicit author profiling annotation schema - Evaluation of implicit author profiling - Differentiation between AI-generated content and human-generated content and bot profiling - Author profiling in low-resource languages and under-studied domains - Exploration of the relations between self-reported or binary gender identity and implicit personality traits - Mental disorders and risk prediction - Author identification and verification Organizing Committee: - Marina Litvak - marinal(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Irina Rabaev - irinar(a)ac.sce.ac.il; Shamoon College of Engineering Beer Sheva; Israel - Alípio Mário Jorge - amjorge(a)fc.up.pt; University of Porto; Porto, Portugal - Ricardo Campos - ricardo.campos(a)ipt.pt; Polytechnic Institute of Tomar INESC TEC, Portugal; Porto, Portugal - Adam Jatowt - adam.jatowt(a)uibk.ac.at; University of Innsbruck; Innsbruck, Austria Invited Speakers: - Prof. Mark Last - Ben-Gurion University of the Negev, Israel - Prof. Dr. Valia Kordoni - Humboldt-Universität Berlin, Germany IACT’23 proceedings will be published at CEUR workshop proceedings (indexed in Scopus and DBLP) as long as they do not conflict with previous publication rights. Contact: - Dr. Marina Litvak: litvak.marina(a)gmail.com - Dr. Irina Rabaev: irinar(a)ac.sce.ac.il -- Best regards, Marina Litvak

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SIGDIAL 2023 Call for Papers (submission deadline May 15)
by Svetlana Stoyanchev 22 Feb '23

22 Feb '23

The 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) and the 16th International Natural Language Generation Conference (INLG) will be held jointly in Prague on September 11-15, 2023. The SIGDIAL venue provides a regular forum for the presentation of cutting edge research in dialogue and discourse to both academic and industry researchers, continuing a series of 23 successful previous meetings. The conference is sponsored by the SIGDIAL organization - the Special Interest Group in discourse and dialogue for ACL and ISCA. Topics of Interest We welcome formal, corpus-based, implementation, experimental, or analytical work on discourse and dialogue including, but not restricted to, the following themes: * Discourse Processing: Rhetorical and coherence relations, discourse parsing and discourse connectives. Reference resolution. Event representation and causality in narrative. Argument mining. Quality and style in text. Cross-lingual discourse analysis. Discourse issues in applications such as machine translation, text summarization, essay grading, question answering and information retrieval. Discourse issues in text generated by large language models. * Dialogue Systems: Task oriented and open domain spoken, multi-modal, embedded, situated, and text-based dialogue systems, their components, evaluation and applications. Knowledge representation and extraction for dialogue. State representation, tracking and policy learning. Social and emotional intelligence. Dialogue issues in virtual reality and human-robot interaction. Entrainment, alignment and priming. Generation for dialogue. Style, voice, and personality. Safety and ethics issues in Dialogue. * Corpora, Tools and Methodology: Corpus-based and experimental work on discourse and dialogue, including supporting topics such as annotation tools and schemes, crowdsourcing, evaluation methodology and corpora. * Pragmatic and Semantic Modeling: Pragmatics and semantics of conversations(i.e., beyond a single sentence), e.g., rational speech act, conversation acts, intentions, conversational implicature, presuppositions. * Applications of Dialogue and Discourse Processing Technology. Submissions The program committee welcomes the submission of long papers, short papers, and demo descriptions. Submitted long papers may be accepted for oral or for poster presentation. Accepted short papers will be presented as posters. * Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers must be no longer than 8 pages, including title, text, figures and tables. An unlimited number of pages is allowed for references. Two additional pages are allowed for appendices containing sample discourses/dialogues and algorithms, and an extra page is allowed in the final version to address reviewers’ comments. * 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, such as a small, focused contribution; a negative result; or an interesting application nugget. Short papers should be no longer than 4 pages including title, text, figures and tables. An unlimited number of pages is allowed for references. One additional page is allowed for sample discourses/dialogues and algorithms, and an extra page is allowed in the final version to address reviewers’ comments. * Demo descriptions should be no longer than 4 pages including title, text, examples, figures, tables and references. A separate one-page document should be provided to the program co-chairs for demo descriptions, specifying furniture and equipment needed for the demo. Authors are encouraged to also submit additional accompanying materials, such as corpora (or corpus examples), demo code, videos and sound files. Multiple Submissions SIGDIAL 2023 cannot accept work for publication or presentation that will be (or has been) published elsewhere and that have been or will be submitted to other meetings or publications whose review periods overlap with that of SIGDIAL. Overlap with the SIGDIAL workshop submissions is permitted for non-archived workshop proceedings. Any questions regarding submissions can be sent to program-chairs [at] sigdial.org. Blind Review Building on previous years’ move to anonymous long and short paper submissions, SIGDIAL 2023 will follow the ACL policies for preserving the integrity of double blind review (see author guidelines <https://www.aclweb.org/adminwiki/index.php?title=ACL_Author_Guidelines>). Unlike long and short papers, demo descriptions will not be anonymous. Demo descriptions should include the authors’ names and affiliations, and self-references are allowed. Submission Format All long, short, and demonstration submissions must follow the two-column ACL format, which are available as an Overleaf template <https://www.overleaf.com/read/crtcwgxzjskr> and also downloadable directly <https://github.com/acl-org/acl-style-files> (Latex and Word) Submissions must conform to the official ACL style guidelines, which are contained in these templates. Submissions must be electronic, in PDF format. Submission Deadline SIGDIAL will accept regular submissions through the Softconf/START system, as well as commitment of already reviewed papers through the ACL Rolling Review (ARR) system. Regular submission Authors have to fill in the submission form in the Softconf/START system and upload an initial pdf of their papers before May 15, 2023 (23:59 GMT-11). Details and the submission link will be posted on the conference website <https://2023.sigdial.org/>. Submission via ACL Rolling Review (ARR) <https://aclrollingreview.org/> Please refer to the ARR Call for Papers <https://aclrollingreview.org/cfp> for detailed information about submission guidelines to ARR. The commitment deadline for authors to submit their reviewed papers, reviews, and meta-review to SIGDIAL 2023 is June 19, 2023. Note that the paper needs to be fully reviewed by ARR in order to make a commitment, thus the latest date for ARR submission will be April 15, 2023. Mentoring Acceptable submissions that require language (English) or organizational assistance will be flagged for mentoring, and accepted with a recommendation to revise with the help of a mentor. An experienced mentor who has previously published in the SIGDIAL venue will then help the authors of these flagged papers prepare their submissions for publication. Best Paper Awards In order to recognize significant advancements in dialogue/discourse science and technology, SIGDIAL 2023 will include best paper awards. All papers at the conference are eligible for the best paper awards. A selection committee consisting of prominent researchers in the fields of interest will select the recipients of the awards. SIGDIAL 2023 Program Committee Svetlana Stoyanchev and Shafiq Rayhan Joty Conference Website: https://2023.sigdial.org/

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Error analysis survey results
by Emiel van Miltenburg 22 Feb '23

22 Feb '23

Dear colleagues, A while ago we sent out a survey asking about your experiences with and opinions about error analysis. We are happy to announce that our paper based on this survey has been published in NEJLT: https://nejlt.ep.liu.se/article/view/4529 We hope that our paper will help foster a discussion about the publication culture in NLG, and in NLP more generally. We would also like to thank you again for filling in our survey. I consider myself very lucky to be part of this community. Best wishes, also on behalf of my co-authors, Emiel van Miltenburg

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CFP: WebNLG Challenge 2023 on low-resource languages (Breton, Maltese, Welsh and Irish) and on Russian
by Claire Gardent 22 Feb '23

22 Feb '23

============================================================== WebNLG Challenge 2023: Call for Participation Special focus on multilingual NLG for under-resourced languages https://webnlg-challenge/challenge_2023/ =============================================================== We are delighted to announce a new edition of the WebNLG challenge, which will take place in 2023. WebNLG 2023 will focus on multilingual generation for under-resourced languages: Maltese, Irish, Breton and Welsh. In addition, WebNLG 2023 will once again include Russian, which was first featured in WebNLG 2020. * MOTIVATION With the development of large-scale pretrained models, research in automatic text generation has acquired new impetus. Yet, the current state-of-the-art is dominated by a handful of languages, for which training data is relatively easy to acquire. At the same time, the field has recently witnessed some encouraging developments which focus on generation for under-resourced and under-represented languages. This trend is paralleled by a growing interest in multilingual models and applications in NLP more broadly. The WebNLG 2023 Challenge is being organised in response to these trends and specifically addresses generation in few-shot and/or zero-shot settings for four under-resourced languages. * About WebNLG The WebNLG Challenge consists in mapping data, in the form of RDF triples, to natural language text. The input is a set of RDF triples sourced from DBPedia for example: (John_E_Blaha birthDate 1942_08_26) (John_E_Blaha birthPlace San_Antonio) (John_E_Blaha occupation Fighter_pilot) where the corresponding output text might be: John E Blaha, born in San Antonio on 1942-08-26, worked as a fighter pilot The WebNLG challenge was launched in 2017. A second edition, in 2020, extended the task to Russian, in addition to English. * WebNLG 2023 The new edition of WebNLG focuses on four under-resourced languages which are severely under-represented in research on text generation, namely Maltese, Irish, Breton and Welsh. In addition, WebNLG 2023 will again include Russian, a language featured in WebNLG 2020. For WebNLG 2023, we are soliciting submissions encompassing a variety of approaches to automatic text generation, from neural architectures to rule-based systems. We especially encourage submissions addressing generation in few-shot or zero-shot settings. * DATA Development and test data is now available for all 5 languages, namely Breton, Maltese, Irish and Welsh (the target languages for WebNLG 2023), as well as Russian. Participants can download the development data; the test data will be reserved for the final evaluation. Data for each language was obtained by sourcing high-quality, professional translations of the original English texts in the WebNLG 2020 dev and test sets. Training data is also available for the original WebNLG English data and, as per WebNLG 2020, for Russian. In addition, we provide ‘noisy’ training data for the target languages (Maltese, Breton, Welsh and Irish), obtained via machine translation of the texts in the English WebNLG 2020 train split. * EVALUATION As in previous editions of WebNLG, submitted results will be evaluated using both automatic and human evaluation methods. * INSTRUCTIONS FOR PARTICIPANTS Data and instructions for the task are available from the WebNLG repo: https://github.com/WebNLG/2023-Challenge Teams who submit systems for evaluation at WebNLG 2023 will subsequently be invited to contribute a short paper describing their approach and results. The task as a whole, as well as individual submissions, will be presented at a special session in an event to be announced later. General information about the WebNLG challenges can be found on the following URL: https://webnlg-challenge/challenge_2023/ * TIMELINE February 2023: First call for participation. Development data and noisy training data available. 8 June 2023: Release of test data 15 June 2023: Deadline for submission of system outputs. 15 August 2023: Deadline for submission of short papers describing systems. The final presentation of results will be held during a workshop. Current plans are to hold this in September 2023. * ORGANISATION: WebNLG 2023 is being organised under the auspices of LT-Bridge, supported by the Horizon 2020 Work Programme Spreading Excellence and Widening Participation (WIDESPREAD) 2018-2020 and the ANR funded xNLG Chair on multi-lingual, multi-source NLG. Claire Gardent, CNRS/LORIA, Nancy, France Albert Gatt, Utrecht University, The Netherlands and University of Malta Claudia Borg, University of Malta Enrico Aquilina, University of Malta Anya Belz, Dublin City University, Ireland John Judge, Dublin City University, Ireland Liam Cripwell, CNRS/LORIA and Université de Lorraine, Nancy, France William Soto-Martinez, CNRS/LORIA and Université de Lorraine, Nancy, France Contact: webnlg-challenge(a)inria.fr To unsubscribe from the SIGGEN list, click the following link: [ https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=SIGGEN&A=1 | https://www.jiscmail.ac.uk/cgi-bin/WA-JISC.exe?SUBED1=SIGGEN&A=1 ]

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Deadline extension - MultiGED-2023 shared task
by Elena Volodina 21 Feb '23

21 Feb '23

UPDATE: Following requests, we extend the deadline for system submissions for the MultiGED-2023 shared task by one week according to the following: 27 February, 2023 06 March, 2023 - test data released 03 March, 2023 10 March, 2023 - system submission deadline (system output) 10 March, 2023 14 March, 2023 - results announced 03 April, 2023 - paper submission deadline with system descriptions. Call for participation -- Shared task on Multilingual Grammatical Error Detection (MultiGED-2023) on Czech, English, German, Italian and Swedish Official website for the shared task: https://github.com/spraakbanken/multiged-2023 The Computational SLA<https://spraakbanken.gu.se/en/compsla> working group invites you to participate in the first shared task on Multilingual Grammatical Error Detection, MultiGED-2023, which includes five languages: Czech, English, German, Italian and Swedish. The aim of this shared task is to detect tokens in need of correction across five different languages, labeling them as either correct ("c") or incorrect ("i"), i.e. performing binary classification at the token level. You can work on one of the provided languages or any combination of languages. More details about the task: https://github.com/spraakbanken/multiged-2023 The shared task is part of the NLP4CALL workshop<https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…>, which will take place on 22 May 2023, co-located with the NoDaLiDa conference <https://www.nodalida2023.fo/> to be held in the Faroe Islands. Accepted papers with systems descriptions will be published in the workshop proceedings and double-published through the ACL anthology. Timeline: * 23 January, 2023 - first call for participation. Training and validation data released, CodaLab opens for team registrations. * 14 February, 2023 - second call/reminder * 03 March, 2023 10 March, 2023 - system submission deadline (system output) * 10 March, 2023 14 March, 2023 - results announced * 03 April, 2023 - paper submission deadline with system descriptions. We encourage you to share models, code, fact sheets, extra data, etc. with the community through github or other repositories on paper publication. * 21 April, 2023 - paper reviews sent to the authors * 01 May, 2023 - camera-ready deadline * 22 May, 2023 - presentations of the systems at NLP4CALL workshop To register for/express interest in the shared task, please fill in this form <https://forms.gle/DgwTNmTCQhsmrbxq6>. To ask questions and to get important information and updates about the shared task, please join the MultiGED-2023 Google Group <https://groups.google.com/g/multiged-2023>. Official system evaluation will be carried out on CodaLab <https://codalab.lisn.upsaclay.fr/competitions/9784>. Organizers: * Elena Volodina<https://spraakbanken.gu.se/en/about/staff/elena>, University of Gothenburg, Sweden * Chris Bryant<https://www.cst.cam.ac.uk/people/cjb255>, University of Cambridge, UK * Andrew Caines<https://www.cl.cam.ac.uk/~apc38/>, University of Cambridge, UK * Orphee De Clercq<https://research.flw.ugent.be/nl/orphee.declercq>, Ghent University, Belgium * Jennifer-Carmen Frey<https://www.eurac.edu/en/people/jennifer-carmen-frey>, EURAC Research, Italy * Elizaveta Ershova, JetBrains, Cyprus * Alexandr Rosen<http://utkl.ff.cuni.cz/~rosen/>, Charles University, Czech Republic * Olga Vinogradova, Independent researcher, Israel Please, feel free to forward this call to those who might be interested. ___________________ 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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Two positions at Bergen (linguistics, psycholinguistics)
by Koenraad de Smedt 21 Feb '23

21 Feb '23

At the University of Bergen, two positions are open: Postdoc in Psycholinguistics (https://www.jobbnorge.no/nn-no/ledige-stillingar/stilling/240671/postdoktor…) PhD in Linguistics (https://www.jobbnorge.no/nn-no/ledige-stillingar/stilling/240695/stipendiat…) The announcements are in Norwegian and English. Best regards, Prof. Koenraad De Smedt

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death announcement - prof. Karel Pala
by Miloš Jakubíček 21 Feb '23

21 Feb '23

Dear colleagues, It is with great sadness that we announce the death of Karel Pala, professor emeritus of our faculty. He passed away on Wednesday morning, February 15, 2023, at the age of 83. Karel was an early corpus-enthusiast who pioneered corpus linguistics in Czechia. His friendly attitude inspired many of us to pursue our careers in this field. This will always be remembered with deep gratitude. Official announcement: https://nlp.fi.muni.cz/en/DeathAnnouncementKarelPala Best regards, Milos Jakubicek Faculty of Informatics Masaryk University Brno, Czechia

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24 February: free corpus online event and tool launch
by Brezina, Vaclav 21 Feb '23

21 Feb '23

Dear all, We've been really encouraged by the overwhelming positive response to the #LancsBox X launch event, which will take place on Friday 24 February 2.00-3.30pm UK time. We will be showcasing a brand new version of #LancsBox X, a powerful tool for the analysis and visualisation of very large corpora: millions and billions of words. The event is organised jointly by The ESRC Centre for Corpus Approaches to Social Science (https://cass.lancs.ac.uk), Lancaster University and CLARIN-UK (https://www.clarin.ac.uk). The event will take place online via MS Teams. Attendance in person is also possible. Free registration is still open: https://forms.office.com/e/LBLqyZiqX9 Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [8ED5AC37]@vaclavbrezina [B213DA5D]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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[PhD] position at CIS, University of Munich
by hangyav＠cis.lmu.de 21 Feb '23

21 Feb '23

We are looking for a PhD student interested in transfer learning in natural language processing. The candidate will work on the "Transfer Learning for Hate Speech Detection" project which focuses on supporting various hate speech detection scenarios in low-resource setups, such as low-resource languages or domains. The main goal is to leverage already existing resources in order to build high quality models for the target scenarios. Offer We offer employment as a full-time doctoral researcher for three years. Starting date is as soon as possible. The salary amounts to TV-L E13 (roughly 52,000 EUR gross income per year). The position is open until filled. The "Transfer Learning for Hate Speech Detection" project is funded by the German Science Foundation. It is led by Dr. Viktor Hangya in the research group of Prof. Alexander M. Fraser at the Center for Information and Language Processing (CIS), University of Munich (LMU). The group has multiple activities with other groups at CIS, such as the groups led by Prof. Barbara Plank and Prof. Hinrich Schuetze, as well as with the Munich Center for Machine Learning (MCML) providing ample opportunities to collaborate with other researchers. Other than the research related to the doctoral program, the candidate is expected to assist in teaching duties, such as giving presentations at student seminars or proposing and leading bachelor and master theses. Qualifications Ideal PhD candidates have a master in computer science, computational linguistics or a related discipline, a strong interest in natural language processing and machine learning, excellent mathematical and programming skills, are team players and fluent in English. Application Please send CV, transcript or records, a copy of your Master's thesis and a motivation letter stating your research interests, as well as two reference letters to hangyav[at]cis.lmu.de, subject: "PhD application". Send all documents as a single PDF, give the PDF a name that includes your name. Diversity LMU is strongly committed to diversity and especially welcomes applications from members of underrepresented groups. Location CIS is located in the city center of Munich near the English Garden, one of the world's largest urban public parks. Munich, the capital of Bavaria, is a vibrant international city with many cultural and recreational offerings, including the nearby Alps.

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[Cfp] Contemporary Trends in English-Language Studies
by Leszek Szymański 21 Feb '23

21 Feb '23

Dear Colleagues, The Institute of Modern Languages at the University of Zielona Góra, Poland, announces a conference titled "Contemporary Trends in English-Language Studies". This year's edition will be held entirely online on May 18-19. More information is available at: https://sites.google.com/view/ctiels/ Thank you! Leszek

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Call for Participation: 4th Slav-NER Shared Task - Named EntitiesinSlavic Languages
by Roman Yangarber 21 Feb '23

21 Feb '23

* Call for Participation * ** ** * The 4thSlav-NER Shared Task: Named Entities in Slavic Languages — Recognition, Normalization, Classification and Cross-Lingual Linking ** co-located with the Slav-NLP <http://bsnlp.cs.helsinki.fi/>Workshop, EACL 2023 http://bsnlp.cs.helsinki.fi/shared-task.html <http://bsnlp.cs.helsinki.fi/shared-task.html> TASK DESCRIPTION: The 4thSlav-NER Shared Task focuses on Named Entities in Slavic languages. Due to rich inflection, free word order, derivation, and other phenomena common to the Slavic languages, work on Named Entities poses important challenges. Fostering research & development on the problems of Named Entities — detecting names, lemmatization (normalization), classification, and cross-lingual matching — is crucial for information access and wider use of NLP in Slavic languages. The 4thSlav-NER Shared Task covers three languages: * Czech, * Polish, * Russian. ** with five types of named entities: ** * persons, * locations, * organizations, * *products* * ***events,*. ** For information about training and test data, and *guidelines* please see Shared Task Home Page. <http://bsnlp.cs.helsinki.fi/shared-task.html> ** IMPORTANT: Participants are *NOT* required to perform all tasks or for all languages. For example, a monolingual entry, without lemmatization, can participate. The Shared Task focuses on cross-lingual extraction of named entities — the systems should recognize, classify, and extract the names in a document. Detecting the positionof every name mention is NOT required. Name mentions should be lemmatized, and mentions referring to the same real-world object should be linked across documents and languages. The text collections consist of documents retrieved from the Web, each set about a major /entity or event/. The corpus was collected by crawling the Web and parsing the HTML documents. For background, see the1^st edition (2017) <http://bsnlp-2017.cs.helsinki.fi/shared_task.html>, 2^nd edition (2019) <http://bsnlp.cs.helsinki.fi/bsnlp-2019/shared_task.html>and the3^rd edition (2021) <http://bsnlp.cs.helsinki.fi/shared-task.html>of this shared task. Participation Participating teams should register via email to: bsnlp(a)cs.helsinki.fiwith the following information: * name of team, * team members, * contact person and *email.* **** Important Dates ** * Shared task announcement: 11 January 2023 ⇒ *Training Data Available* ! * Registration deadline: *06 March 2023* * Release of *Test**Data* to registered participants: 07 March2023 * Submission of system responses: 09 March 2023 * Results announced to participants: 11March 2023 * Submission of shared task papers: 13 March 2023 * Camera-ready shared task papers: 03 April 2023 * * * -- Roman Yangarber Associate Professor, University of Helsinki Digital Humanities INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ e-Learning & language learninghelsinki.fi/revita <https://www.helsinki.fi/revita> Language Learning Labhelsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> Unioninkatu 40, Metsätalo A214 mobile: +358 50 41 51 71 3 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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Journal of Language and Aging Research: New journal announcement
by Annette Gerstenberg 20 Feb '23

20 Feb '23

Oh my, don’t talk about aging! — Journal of Language and Aging Research open for submissions What one of our participants said (in French: “ah là là, parlez pas de vieillir,” Ms. Moreau, 85 years old) holds for much of linguistic research: topics addressing the relation of old age and language receive little attention. The newly founded open-access Journal of Language and Aging Research is the first journal to deal with the intersection of two things that are part of our constant, everyday experience: language and aging. The idea for the journal grew out of the CLARe (Corpora for Language and Aging Research) conference series that began in 2014, and which have shown the fruitfulness of sharing research and ideas on this topic in a common venue. Supported by an advisory board of outstanding representatives of a wide range of linguistic fields dealing with related topics, its three editors have developed the journal to provide such a platform. Our website is online <https://deref-1und1-02.de/mail/client/oDQEoGA2o6o/dereferrer/?redirectUrl=h…>, and the first issue will be published in the spring of 2023. Starting now, we are open for submissions <https://deref-1und1-02.de/mail/client/t6wnsjl40iM/dereferrer/?redirectUrl=h…>!

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2nd CfP: Workshop on Modelling Translation at NoDaLiDa 2023
by Maria Kunilovskaya 20 Feb '23

20 Feb '23

**Second Workshop on Modelling Translation: Translatology in the Digital Age** (MoTra-2023) Second Call for Papers Submissions deadline: March 20, 2023 Workshop Day: May 22, 2023 Location: Tórshavn, Faroe Islands (hybrid format) *Submissions page: https://openreview.net/group?id=NoDaLiDa/2023/Workshop/MoTra* Website: https://sfb1102.uni-saarland.de/news/motra23-workshop-call-for-papers/ **Topic and Goals of the Workshop** MoTra-2023 aims to promote interdisciplinary and computational approaches to human translation, offering an opportunity for researchers in empirical translation studies, computational and corpus linguistics, NLP, cognitive science to exchange knowledge and methodological expertise in modelling various aspects of translation. Along with traditional research questions related to translationese, variation in translation, translation quality assessment, we encourage submissions on interpreting studies, multimodal translation, modelling translational strategies from cognitive, semantic and pragmatic perspectives as well as contributions presenting language resources for translation studies and translation-related software. We are particularly interested in forging a link between translation studies and machine translation and invite research at the interface of these fields. This event seeks to follow up on the investigations reported by the previous edition of the workshop. The proceedings of MoTra-2021 covered a wide range of topics in translatology enhancing the understanding of *translationese*, i.e linguistic specificity of translations setting them apart from non-translations in the target language and exploring *variation in human translation*, including in contrast with machine translation (https://aclanthology.org/volumes/2021.motra-1/). The contributions described computational and NLP methods to model translation varieties (student/professional, human/machine, written/spoken) and translation processes/solutions, especially around particular items (translation problem triggers, discourse markers, adjectives, polarity items), and reported the results of manual linguistic analysis of modelling outcomes. **The workshop invites submissions on relevant research topics, including but not limited to:** - Translation and translationese detection, source language identification and quantitative analysis of translations - NLP approaches to translationese - Analysis and interpretation of variation in translation according to context (domain, register, genre), mode and medium (spoken, written, audio-visual), translator (professional, novice, crowd-sourced), recipient (simplified language) etc. - Intrinsic and extrinsic evaluation of translation models - Research at the interface between translation studies and machine translation - Contextualized and multimodal translation analysis - Computational semantics and pragmatics applied to translation studies - Sentiment and emotion analysis of translations - Human translation quality assessment and annotation - Computational models of translation types such as communicative translation, semantic translation, transcreation, intralingual translation, etc. - New corpora for translation studies, such as literary translation corpora, interpreting transcript datasets, learner translator corpora, etc. - Translation, post-editing, (error) annotation software - Cognitive modelling of translation processes, including cognitive load measurements and communication optimisation in translation **Invited Speakers** Maarit Koponen (University of Eastern Finland) **Program Committee** Silvia Bernardini (University of Bologna) Mario Bisiada (Universitat Pompeu Fabra) Yuri Bizzoni (Aarhus University) Lynne Bowker (University of Ottawa) Michael Carl (Kent State University) Oliver Czulo (Leipzig University) Cristina España i Bonet (DFKI GmbH) Alex Fraser (LMU Munich) Alina Karakanta (University of Trento) Stella Neumann (RWTH Aachen University) Antoni Oliver (Open University of Catanlunya) Maja Popovic (ADAPT Centre, DCU) Moritz Schaeffer (University of Mainz) Tatiana Serbina (RWTH Aachen University) Serge Sharoff (University of Leeds) Antonio Toral (University of Gröningen) **Organizers’ Contacts** Maria Kunilovskaya (maria.kunilovskaya(a)uni-saarland.de) Ekaterina Lapshinova-Koltunski (lapshinovakoltun(a)uni-hildesheim.de) Elke Teich (e.teich(a)mx.uni-saarland.de) **Important Dates** - Monday, March 20, 2023: Workshop paper submission deadline - Monday, April 17, 2023: Notification of acceptance - Monday, May 1, 2023: Camera-ready workshop papers due - Monday, May 22, 2023: The workshop day **Paper Submission** We invite submissions of three kinds: - long papers on substantial, original, and unpublished research, including empirical evaluation of results, up to 8 pages without references; - short papers on smaller, focused contributions, negative results, surveys, or opinion pieces, up to 4 pages without references; and - demonstration papers on software, systems, interfaces, infrastructures, language resources, data collections, or annotations, up to 4 pages without references. Papers accepted for presentation at the conference will appear in the NoDaLiDa 2023 proceedings, published as part of the NEALT Proceedings Series and in the ACL Anthology. Accepted papers will appear on the workshop website (https://sfb1102.uni-saarland.de/news/motra23-workshop-call-for-papers/), too. All submissions should be anonymous and should follow the official Nodalida 2023 LaTeX template (see https://www.nodalida2023.fo/call-for-papers/). The ACL author guidelines and anonymity rules apply. Papers that have been or will be submitted to other venues must indicate this at submission time, and must be withdrawn from the other venues if accepted to NoDALiDa 2023. At least one author of each accepted paper must register to attend the workshop. The submissions are planned through OpenReview. Submissions page: https://openreview.net/group?id=NoDaLiDa/2023/Workshop/MoTra To inquire about the submission and reviewing process or generally the workshop’s scientific program, please email: Maria Kunilovskaya maria.kunilovskaya(a)uni-saarland.de The workshop will be held in a hybrid format in conjunction with the NoDaLiDa Conference (https://www.nodalida2023.fo/) in Tórshavn, Faroe Islands.

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Tenure-track Assistant Professor or Associate Professor in computational cognitive modelling and natural language processing - closing date for applications is 23:59 CET, 20 March 2023
by Costanza Navarretta 20 Feb '23

20 Feb '23

*** With apologies for multiple postings *** Tenure-track Assistant Professor or Associate Professor in computational cognitive modelling and natural language processing The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for a tenure-track assistant/associate professorship in computational cognitive modelling and natural language processing to be filled by August 1, 2023 or as soon as possible thereafter. Job content The successful candidate will engage in cutting-edge research in computational cognitive modelling in collaboration with the CST researchers and is expected to contribute actively to the Centre's research environment, see also: Research - University of Copenhagen (ku.dk)<https://cst.ku.dk/english/research/> The ideal candidate will have expertise in working with neurocognitive methods such as eye-tracking or EEG; they will have worked with computational modelling, preferably of language phenomena; they will have active knowledge of machine learning and deep modelling techniques. The candidate will also be expected to strengthen the Centre's project portfolio by applying for external funding, in particular to support projects at the interface between computational cognitive modelling and NLP. The candidate will also contribute with teaching to the MSc in IT and Cognition, more specifically to the Cognitive Science courses, as well as supervise master's dissertations. More detail on the programme as a whole and the individual study units are provided at: Master of Science (MSc) in IT and Cognition - University of Copenhagen (ku.dk)<https://studies.ku.dk/masters/it-and-cognition/> The closing date for applications is 23:59 CET, 20 March 2023 Applications or supplementary material received thereafter will not be considered. More information about the qualification requirements and the application procedure can be found on the following link: https://jobportal.ku.dk/tenure-track/?show=158556 Costanza Navarretta PhD, senior researcher/assoc.professor Centre for Language Technology Department of Nordic Studies and Linguistics University of Copenhagen DIR +45 35329079 costanza(a)hum.ku.dk<mailto:costanza@hum.ku.dk>

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PostDoc / PhD positions in Legal Tech at FAU Erlangen-Nürnberg [deadline̵: 26 Feb]
by Stephanie Evert 20 Feb '23

20 Feb '23

We are looking for PostDoc / Doctoral Researchers (100% or 65% TV-L E13) duration: up to 3 years for research projects in the area of Legal Tech. We are interested in different profiles with background in computational linguistics, law, corpus linguistics, digital humanities, or possibly computer science / data science. Good knowledge of German is required. Application deadline: 26 Feb 2023 Full consideration will be given to all applications received by the deadline, but positions are open for further applications until filled. If you want to apply but need a few extra days to prepare your dossier, please get in touch with me. Full details in German here: https://www.jobs.fau.de/jobs/wissenschaftlichen-mitarbeiterin-m-w-d-im-bere… https://www.jobs.fau.de/jobs/wissenschaftliche-mitarbeiterinnen-m-w-d-im-be… Looking forward to your application! Stephanie Evert

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Call for papers - Natural Language Processing, Text Mining and Applications (PLN-TeMA'23) Track of EPIA'23
by Pablo Gamallo 20 Feb '23

20 Feb '23

Call for papers - Natural Language Processing, Text Mining and Applications (PLN-TeMA'23) Track of EPIA'23 Important dates: Paper submission deadline April 16, 2023 Notification of paper acceptance May 9, 2023 Camera-ready papers deadline June 15, 2023 Conference dates September 5-8, 2023 NLP-TEMA’23 will be held at the 22th Portuguese Conference on Artificial Intelligence (EPIA 2023) taking place at Horta, Faial island, Azores, between September 5th-8th 2023. This track is organized under the auspices of the Portuguese Association for Artificial Intelligence (APPIA), and part of the EPIA 2023 Conference on Artificial Intelligence, URL: https://epia2023.inesctec.pt/ This announcement contains the following: [1] Track description; [2] Topics of interest; [3] Important dates; [4] Paper submission; [5] Track fees; [6] Organizing Committee; [7] Program Committee and [8] Contacts. [1] Track Description The Track of Natural Language Processing, Text Mining and Applications (NLP-TeMA 2023) is a forum for researchers working in Human Language Technologies, i.e. Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR), and related areas. A huge amount of information is openly published every day, on many different topics and written in natural language, thus offering new insights and many opportunities for innovative applications of Human Language Technologies. Following advances in AI sub-fields such as NLP, Machine Learning (ML) and Deep Learning (DL), NLP and TM are now even more valuable for bridging the gap between language theories and effective use of natural language contents, for harnessing the power of semi-structured and unstructured data, and to enable important applications in real-world heterogeneous environments. Both hidden and new knowledge can be discovered by using NLP and TM methods, at multiple levels and in multiple dimensions, and often with high commercial value. Authors are invited to submit their papers on any of the issues identified in section [2]. Submitted papers will be subject to a double-blind review process and will be peer-reviewed by at least three members of the track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process. Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2023 by the early registration deadline. EPIA 2023 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar. Each accepted paper must be presented by one of the authors in a track session. The conference will grant the following awards: * Best Paper Award, for the best research paper presented at the conference * Best Student Paper Award, for the best research paper presented at the conference where the first author is a student [2] Topics of Interest Natural Language Processing • Language and Cognitive Modeling • Sentence-level Semantics and Text Inference • Language Resources: Acquisition and Usage. • Entailment and Paraphrase Recognition • Entity Recognition and Word Sense Disambiguation • Distributional Models and Semantics • Mathematical Properties of Language • Tagging, Chunking and Parsing • Morphology and Word Segmentation • Natural Language Generation • Discourse and Pragmatics • NLP for Low-Resource Languages Text Mining and Applications • Text Clustering, Classification and Summarization • Sentiment Analysis and Argument Mining • Computational Social Science • Multi-Word Units • Machine Learning for NLP and Text Mining • Spatio-Temporal and Big Text Mining • Cross-Lingual Approaches • Algorithms and Data Structures for Text Mining • Information Retrieval and Information Extraction • Question-Answering and Dialogue Systems • Text-Based Prediction and Forecasting • Web Content Annotation • Health/Biomedical/Legal and other Text Mining Applications [3] Important dates Paper submission deadline April 16, 2023 Notification of paper acceptance May 9, 2023 Camera-ready papers deadline June 15, 2023 Conference dates September 5-8, 2023 [4] Paper submission Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS format and submitted in PDF format through the EPIA 2023 EasyChair submission page https://easychair.org/my/conference?conf=epia2023. For the preparation of their papers, authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. [5] Track Fees: Track participants must register at the main EPIA 2023 conference. [6] Organizing Committee: Joaquim Silva, jfs(a)fct.unl.pt, DI – FCT/UNL, Quinta da Torre, 2829-516 Caparica, Portugal (Contact person). Pablo Gamallo, Pablo.gamallo(a)usc.es, Universidade de Santiago de Compostela, Praza do Obradoiro, 0, 15705 Santiago de Compostela, Spain. Paulo Quaresma, pq(a)uevora.pt, DI – Uviversidade de Évora, Largo dos Colegiais 2, 7000-645 Évora, Portugal. Irene Rodrigues, ipr(a)uevora.pt, DI – Uviversidade de Évora, Largo dos Colegiais 2, 7000-645 Évora, Portugal Hugo Gonçalo Oliveira, hroliv(a)dei.uc.pt – Universidade de Coimbra, Portugal, Polo II, Pinhal de Marrocos, 3030-290 Coimbra [7] Program Committee: Adam Jatowt – Universit of Kioto, Japan Alverto Simões – 2Ai Lab – IPCA Alexandre Rademaker – IBM / FGV, Brazil Antoine Doucet – University of Caen, France Altigran Silva – Universidade Federal do Amazonas, Brazil António Branco – Universidade de Lisboa, Portugal Antoine Doucet – University of Caen, France Béatrice Daille – University of Nantes, France Bruno Martins – Instituto Superior Técnico – Universidade de Lisboa, Portugal Fernando Batista – Instituto Universitário de Lisboa, Portugal Gaël Dias – University of Caen Basse-Normandie Hugo Gonçalo Oliveira – Universidade de Coimbra, Portugal Irene Rodrigues – Universidade de Évora, Portugal Jesús Vilares – University of A Coruña, Spain Joaquim Ferreira da Silva – Faculdade de Ciências e Tecnologia – Universidade Nova de Lisboa Luísa Coheur – IST/INESC–ID Lisboa Manuel Vilares Ferro – University of Vigo, Spain Marcos Garcia – Universidade de Santiago de Compostela, Galiza/Spain Mário Silva – Instituto Superior Técnico – Universidade de Lisboa, Portugal Nuno Marques – Universidade Nova de Lisboa, Portugal Pablo Gamallo – Universidade de Santiago de Compostela, Galiza/Spain Paulo Quaresma – Universidade de Évora, Portugal Pavel Brazdil – University of Porto, Portugal Sophia Ananiadou –University of Manchester Sérgio Nunes – Faculdade de Engenharia – Universidade do Porto, Portugal [8] Contacts Joaquim Francisco Ferreira da Silva, DI/FCT/UNL, Quinta da Torre, 2829‐516, Caparica, Portugal. Tel: +351 21 294 8536 (ext. 10732) ‐ Fax: +351 21 294 8541 ‐ E‐mail: jfs [at]fct [dot] unl [dot] pt

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[CfP] Computational Memorability of Imagery - Special Session at CBMI 2023
by mihai.constantin84＠upb.ro 20 Feb '23

20 Feb '23

Computational Memorability of Imagery Special Session at CBMI 2023 20-22 September 2023 Orleans, France https://cbmi2023.org The subject of memorability has seen an influx in interest since the likelihood of images being recognized upon subsequent viewing was found to be consistent across individuals. Driven primarily by the MediaEval Media Memorability tasks which has just completed its 5th annual iteration, recent research has extended beyond static images, pivoting to the more dynamic and multi-modal medium of video memorability. The memorability of a video or an image is an abstract concept and like other features such as aesthetics and beauty, is an intrinsic feature of imagery. There are many applications for predicting image and video memorability including marketing where some part of a video advertisement should strive to be the most memorable, in education where key parts of educational content should be memorable, in other areas of content creation such as video summaries of longer events like movies or wedding photography, and in cinematography where a director may want to make some parts of a movie or TV program more, or less, memorable than the rest. For computing video memorability, researchers have used a variety of approaches including video vision transformers as well as more conventional machine learning, text features from text captions, a range of ensemble approaches, and even generating surrogate videos using stable diffusion methods. The performance of these approaches tells us that we are now close to the best performance for memorability prediction for video and for images that we could get using current techniques and that there are many research groups who can achieve such a level of performance. We believe that image and video memorability is now ready for the spotlight and for researchers to be drawn to using video memorability prediction in creative ways. We invite submissions from researchers who wish to extend their reported techniques and/or apply those techniques to real-world applications like marketing, education, or other areas of content production. We hope that the output from this special session will be a community-wide realization of the potential for video memorability prediction and uptake in research into, and applications of, the topic. The topics of the special session include, but are not limited to: ● Development and interpretation of single- or multi-modal models for Computational Memorability ● Transfer learning and transferability for Computational Memorability ● Computational Memorability applications ● Extending work from MediaEval Predicting Media Memorability task ● Cross- and multilingual aspects in Computational Memorability ● Evaluation and resources for Computational Memorability ● Computational memorability prediction based on physiological data (e.g.: EEG data) The contributions to this special session are regular short papers (only) as 4 pages, plus additional pages for the list of references. The review process is single-blind meaning authors do not have to anonymize their submissions. Important dates: Paper submission: April 12, 2023 Notification of acceptance: June 1, 2023 Camera ready paper: June 15, 2023 Conference dates: September 20-22, 2023 Organizers: ● Alba García Seco de Herrera, University of Essex (alba.garcia(a)essex.ac.uk) ● Gabi Constantin, University Politehnica of Bucharest (mihai.constantin84(a)upb.ro) ● Alan Smeaton, Dublin City University (alan.smeaton(a)dcu.ie)

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Postdoctoral Researcher in Natural Language Processing and statistical learning for Health
by Mathieu Constant 20 Feb '23

20 Feb '23

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 April-June 2023. 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, but not later than end of March 2023. 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 may be a plus Working in a multidisciplinary team

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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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[Fully-Funded PhD Position] in Multimodal Meeting Summarization: Deadline 27 Feb
by muskaan singh 18 Feb '23

18 Feb '23

We are inviting applications for a fully funded Ph.D. position in Multimodal Meeting Summarization at the Cognitive Analytics Research Lab (CARL) of the Intelligent Systems Research Centre from the School of Computing, Engineering, and Intelligent Systems, Ulster University. The project aims to generate automatic minutes of the meeting for multi-party dialogues using textual, audio, visual, and cognitive modalities. The position is in collaboration with Dr. Muskaan Singh, Ulster University, and Prof.Damien Coyle, Director of The Bath Institute for the Augmented Human (University of Bath) and a UKRI Turing AI Acceleration Fellow 2021-25. *The deadline is due by Monday, 27 February 2023, 4.00 PM UK time. The interviews are scheduled for 18 April with an expected starting date of 18 September.* he applicants should hold a masters (or be close to completion) or have equivalent work experience and a publication record. Solid knowledge of Machine Learning models applied to Natural Language Processing and Deep Learning is required, as is excellent programming skills in Python and deep learning frameworks (esp. Keras, TensorFlow or PyTorch). The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £18,000 (TBC) per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the Ph.D. researcher. For more information and application, please visit, https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455768 Please feel free to get in touch with any queries. *Dr. Muskaan Singh* Lecturer (~Assistant Professor) in Data Analytics Cognitive Analytics Research Lab (CARL), Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems *Room MS138 | Magee Campus | Londonderry | BT48 7JL * *E:* m.singh(a)ulster.ac.uk *W:* https://pure.ulster.ac.uk/en/persons/muskaan-singh

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CFP-LT-EDI-2023 at RANLP 2023
by Bharathi Raja Asoka Chakravarthi 18 Feb '23

18 Feb '23

Apologies for cross posting Third Workshop on Language Technology for Equality, Diversity and Inclusion (LT-EDI-2023) at RANLP 2023 Link: https://sites.google.com/view/lt-edi-2023/ Equality, Diversity and Inclusion (EDI) is an important agenda across every field [1] throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender [2], racial [3], sexual orientation [4], persons with disability [5,6]. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. The broader objective of LT-EDI-2023 will be - To investigate challenges related to speech and language resource creation for EDI. - To promote research in inclusive LT. - To adopt and adapt appropriate LT models to suit EDI. - To provide opportunities for researchers from the LT community around the world to collaborate with other researchers to identify and propose possible solutions for the challenges of EDI. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create LT of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. Call for Papers: Our main theme in this workshop is equality, diversity, and inclusivity in LT. We invite researchers and practitioners to submit papers reporting on these issues and datasets to avoid these issues. We also encourage qualitative studies related to these issues and how to avoid them. LT-EDI-2023 welcomes theoretical and practical paper submissions on any languages that contribute to research in Equality, Diversity and Inclusion. We will particularly encourage studies that address either practical application or improving resources. Topics of interest include, but are not limited to: - Data set development to include EDI - Gender inclusivity in LT - LGBTQ+ inclusivity in LT - Racial inclusivity in LT - Persons with disability inclusivity in LT - Speech and language recognition for minority groups - Unconscious bias and how to avoid them in natural language processing, machine learning and other LT technologies. - Tackling rumors and fake news about gender, racial, and LGBTQ+ minorities. - Tackling discrimination against gender, racial, and LGBTQ+ minorities. Important dates (will be changed according to guidelines from RANLP) - First call for workshop papers: 15 February 2023 - Second call for workshop papers: 15 March 2023 - Workshop paper due: 10 July 2023 - Notification of acceptance: 5 August 2023 - Camera-ready papers due: 20 August 2023 - Workshop dates: 7 September 2023 Submission: Papers must describe original, completed/ in progress and unpublished work. Each submission will be reviewed by three program committee members. Accepted papers will be given up to 9 pages (for full papers), 5 pages (for short papers and posters) in the workshop proceedings, and will be presented as oral paper or poster. Papers should be formatted according to the RANLP 2023 style-sheet, which is provided on the website. Please submit papers in PDF format. We are seeking submissions under the following category - Full papers (8 pages) - Short papers (work in progress, innovative ideas/proposals, research proposal of students: : 4 page) - Demo (of working online/standalone systems: : 4 page) Both long and short papers must follow the RANLP 2023 two-column format, using the supplied official style files. The templates can be downloaded in Style Files and Formatting. 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. Organisers - Bharathi Raja Chakravarthi, Assistant Professor, School of Computer Science, University of Galway, Ireland. - B. Bharathi, Associate Professor, Department of CSE, SSN College of Engineering, Chennai, India - Josephine Griffith, Assistant Professor, School of Computer Science, University of Galway, Ireland. - Kalika Bali, Researcher, Microsoft Research India - Paul Buitelaar, Professor in Computer Science and Deputy Director of the Data Science Institute at the University of Galway, Ireland, co-PI of the Insight SFI Research Centre for Data Analytics, and Co-Director of the SFI Centre for Research Training in AI. References [1] https://aim.gov.ie/wp-content/uploads/2016/06/Diversity-Equality-and-Inclus… [2]Kiritchenko, S. and Mohammad, S., 2018, June. Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics (pp. 43-53). [3]Sap, M., Card, D., Gabriel, S., Choi, Y. and Smith, N.A., 2019, July. The risk of racial bias in hate speech detection. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 1668-1678). [4]Wu, H.H. and Hsieh, S.K., 2017, November. Exploring Lavender Tongue from Social Media Texts [In Chinese]. In Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017) (pp. 68-80). [5]Hutchinson, Ben, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. "Unintended machine learning biases as social barriers for persons with disabilities." ACM SIGACCESS Accessibility and Computing 125 (2020): 1-1. [6]Hutchinson, Ben, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. Social Biases in NLP Models as Barriers for Persons with Disabilities, Proceedings of ACL 2020, ACL 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

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SIGTYP 2023: Deadline extension till February 22
by Kat Vylomova 18 Feb '23

18 Feb '23

We are inviting your submissions to the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2023) which will be held at EACL 2023 (May 5 or 6, 2023 Dubrovnik, Croatia). The extended submission deadline is **February 22**. Submission link: https://openreview.net/group?id=eacl.org/EACL/2023/Workshop/SIGTYP WORKSHOP DESCRIPTION The aim of the 5th edition of SIGTYP workshop is to act as a platform and a forum for the exchange of information between typology-related research, multilingual NLP, and other research areas that can lead to the development of truly multilingual NLP methods. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach of multilingual NLP, as well as at introducing computational approaches to linguistic typology. It will foster research and discussion on open problems, not only within the active community working on cross- and multilingual NLP but also inviting input from leading researchers in linguistic typology. In 2023, we would like to continue following this direction of research with a special focus on bringing technology to foster documentation of under-described languages. SIGTYP is the first dedicated venue for typology-related research and its integration in multilingual NLP. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop: -- Integration of typological features in language transfer and joint multilingual learning. In addition to established techniques such as “selective sharing”, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? -- Development of unified taxonomy and resources. Building universal databases and models to facilitate understanding and processing of diverse languages. -- Automatic inference of typological features. The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. -- Typology and interpretability. The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. -- Improvement and completion of typological databases. Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. -- Linguistic diversity and universals. Challenges of cross-lingual annotation. Which linguistic phenomena or categories should be considered universal? How should they be annotated? -- Bringing technology to document under-described languages. Improving model performance and documentation of under-resourced languages using typological databases, multilingual models and data from high-resource languages. -- Cognate and Derivative Detection for Low-Resourced Languages. This year’s edition will include a shared task: “Cognate and Derivative Detection for Low-Resourced Languages”; more details can be found here: https://github.com/sigtyp/ST2023. IMPORTANT DATES (all deadlines are 23:59 AoE) — February 22, 2023: Paper submission deadline — March 13, 2023: Notification of acceptance — March 27, 2023: Camera-ready deadline — May 5 or 6, 2023: Workshop SUBMISSIONS We invite both extended abstract submissions (non-archival) and general paper submissions (archival). The accepted submissions will be presented at the workshop, providing new insights and ideas. Extended abstracts should describe already published work or work in progress and should not exceed two (2) pages. This way, we will not discourage researchers from preferring main conference proceedings, at the same time ensuring that interesting and thought-provoking research is presented at the workshop. For general (archival) submissions we accept both long and short papers. Short papers should not exceed four (4) pages, long papers should not exceed eight (8) pages papers. Unlimited additional pages are allowed for the references section in all submission types. Submissions should be anonymous, without authors or an acknowledgement section; self-citations should appear in third person. Submissions must follow the EACL 2023 stylesheet https://2023.eacl.org/calls/styles/; both long and short paper submissions must follow the two-column format of ACL proceedings. All submissions must be in PDF format. These should be submitted via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2023/Workshop/SIGTYP. PAPERS FROM EACL FINDINGS We are accepting all papers from EACL Findings that are **relevant** to SIGTYP. Contact us via sigtyp(a)gmail.com if you would like to present your EACL Findings paper at SIGTYP 2023! ORGANIZING COMMITTEE Koustava Goswami, Alexey Sorokin, Ritesh Kumar, Andrey Shcherbakov, Edoardo M. Ponti, Saliha Muradoğlu, Lisa Beinborn, Ryan Cotterell, Kat Vylomova ANTI-HARASSMENT POLICY The workshop follows the ACL anti-harassment policy: https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy. CONTACT For any inquiries regarding the workshop, please send an email to the Organizing Committee at sigtyp(a)gmail.com

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2nd CFP: The International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023)
by Constantin Orasan 18 Feb '23

18 Feb '23

International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023) Naples, Italy, 7, 8 and 9 July 2023 http://hit-it-conference.org/ Second Call for Papers The International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023) will take place in Naples, Italy between 7 and 9 July 2023. The conference will be preceded by tutorials on 6 July 2023. HiT-IT seeks to act as a meeting point for (and invites) researchers working in translation and interpreting technologies, practicing technology-minded translators and interpreters, companies and freelancers providing services in translation and interpreting as well as companies developing tools for translators and interpreters. In addition to the accepted papers for presentation, HiT-IT will feature invited talks by prominent experts as well as presentations and panels hosted by practitioners. Most of the existing conferences are either focused too much on the automatic side of translation or concentrate largely on translators’ and interpreters’ professions. HiT-IT seeks to fill in this gap by allowing the discussion, the scientific comparison, and the mutual enrichment of professionals from both fields. HiT-IT 2023 addresses the development of translation tools and the experience translators and interpreters have with these tools as well as the development of machine translation engines, incorporating human (translators and interpreters’) expertise. The conference also offers a discussion forum and publishing opportunity for professionals from the human translation and interpreting fields (e.g. translators including subtitlers, interpreters, respeakers, researchers in translation and interpreting studies) and for researchers and developers working on translation and interpreting technology and machine translation. The idea behind this conference attendees to hear the other side’s position and to voice their opinions on how to make translation technologies closer to what would be accepted by large audiences, by incorporating human expertise into them. Conference topics While we invite papers on the following four main themes, submissions on any topic related to translation and interpreting technology and natural language processing for translation and interpreting technology will be considered. Both theoretical ideas and practical applications are welcome. Position papers promoting new ideas, challenging the current status of the fields and proposing how to take them forward are also encouraged. User needs: - analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology - user requirements for interpreting and translation tools - incorporating human knowledge into translation and interpreting technology - what existing translators’ (including subtitlers’) and interpreters’ tools do not offer - user requirements for electronic resources for translators and interpreters - translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed Existing methods and resources: - latest developments in translation and interpreting technology - latest advances in (Neural) Machine Translation - latest advances in Translation Memory systems- latest advances in automatic post-editing - electronic resources for translators and interpreters - annotation of corpora for translation and interpreting technology - crowdsourcing techniques for creating resources for translation and interpreting - latest advances in pre-editing and post-editing of machine translation - human-informed (semi-)automatic generation of interlingual subtitles - technology for subtitling - Machine Translation for literary texts Evaluation: - (human) evaluation of translation and interpreting technology - crowdsourcing techniques for evaluating translation and interpreting - evaluation of discourse and other linguistic phenomena in (machine) translation and interpreting - evaluation of existing resources for translators and interpreters - human evaluation of neural machine translation - automatic evaluation of neural machine translation More: - position papers discussing how machine translation should be improved to incorporate translators’/interpreters’ expertise - translation and interpreting technologies’ impact on the market - comparison between human and machine translation - changes in the translators and interpreters’ professions in the new technology era especially as a result of the latest developments in Neural Machine Translation Besides the above topics, submissions from industry and practitioners could discuss: distinctive work experience, ongoing practical work, in- house procedures or software, in-house processing pipelines, technology needs, managing a translation (technology) company, interpreters in the technology era, IP issues or any topic related to their professional activities in the field of (technology for) translation and interpreting, etc. Submissions and publication The conference invites the following types of submissions reporting original unpublished work. - User papers for industry and practitioners ranging between 2 and 4 pages (without references). References to related work are optional. Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required): - (academic) full papers: describing original completed research. Allowed paper length: maximum 12 pages (without references). - (academic) work-in-progress papers – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 7 pages (without references). - (academic) demo papers - describing working systems. Allowed paper length: maximum 5 pages (without references). In addition to the papers, the authors will be expected to demonstrate the systems at the conference. The conference will not consider the submission and evaluation of abstracts only. Each submission will be reviewed by 3 members of the Programme Committee. Submission is electronic, using the Softconf START conference management system. For further instructions please follow the submission guidelines at the conference website: http://hit-it-conference.org/ The accepted papers will be published in the conference proceedings and made available online on the conference website. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers. We plan to invite the authors of the best papers to submit extended versions to a special issue of a prestigious journal. IMPORTANT DATES - Submission deadline: 10 April 2023 - Notification of acceptance: 31 May 2023 - Final version due: 10 June 2023 - Early fee deadline: 20 June 2023 - Conference dates: 7, 8 and 9 July 2023 - Tutorials: 6 July 2023 Keynote speakers - Jochen Hummel (Coreon) - Tharindu Ranasinghe (Aston University) Invited tutorials - Felix do Carmo (University of Surrey): Neural Machine Translation Conference Chairs - Gloria Corpas Pastor (University of Malaga) - Ruslan Mitkov (University of Wolverhampton) - Johanna Monti (University of Naples L’Orientale) - Constantin Orasan (University of Surrey) Organising Committee - Dayana Abuin Rios (University of Malaga) - Khadija Ait Elqih (University of Naples l’Orientale) - Anastasia Bezobrazova (University of Malaga) - Meriem Boulekhoukh (University of Oran) - Rocío Caro Quintana (University of Wolverhampton) - Amal El Farhmat (University of Malaga) - Lilit Kharatian (University of Malaga) - Alfiya Khabibullina (University of Malaga) - Nikolai Nikolov (INCOMA Ltd.) - Daria Sokova (New Bulgarian University) - Giulia Speranza (University of Naples l’Orientale) Programme Committee - Amal Haddad Haddad, University of Granada, Spain - Anna Dimas Furtado, University of Galway, Ireland - Eleanor Taylor-Stilgoe, University of Surrey, United Kingdom - Ekaterina Lapshinova-Koltunski, Saarland University, Germany - Eva Vanmassenhove, University of Tilburg, Netherlands - Eleni Zisi, El-translations, Greece - Eirini Zafeiridou, Welocalize, Greece - Eithar Alangari, Shaqra University, Saudi Arabia - Fred Blain, Tilburg University, Netherlands - Federico Gaspari, University of Naples Federico II, Italy - Irina Temnikova, Big Data for Smart Society Institute, Bulgaria - Isabelle Tamba, Romanian Academy, Romania - Jaleh Delfani, University of Surrey, UK - Joanna Druggan, Heriot-Watt University, United Kingdom - Marie Escribe, LanguageWire, Spain - Judyta Mężyk, University of Silesia, Poland - John Ortega, Northeastern University, United States of America - Joss Moorkens, Dublin City University, Ireland - Khetam Al Sharou, Imperial College, United Kingdom - Lynne Bowker, University of Ottawa, Canada - Manuel Herranz, Pangeanic, Spain - Mihaela Vela, Saarland University, Germany - Maarit Koponen, University of Eastern Finland, Finland - Maria Pia Di Buono, University of Naples 'L'Orientale', Italy - Najeh Hajlaoui, European Commission, Belgium - Núria Molines Galarza, Jaume I University, Spain - Paola Ruffo, Ghent University, Belgium - Raquel Lázaro Gutiérrez, University of Alcala, Spain - Sara Ramos Pinto, University of Leeds, United Kingdom - Sheila Castilho, Dublin City University, Ireland - Silvia Bernardini, University of Bologna, Italy - Tímea Palotai-Torzsás, Juremy, Hungary - Vilelmini Sosoni, Ionian University, Greece - William D. Lewis, University of Washington, United States of Americ - Yves Champollion, Wordfast, France More Programme Committee members and further invited speakers and tutorials will be announced in further calls and listed on the conference’s webpage. Organisation and sponsors The forthcoming international conference HiT-It 2023 is jointly organised by the University of Wolverhampton, the University of Surrey (United Kingdom), the University of Malaga (Spain), and the University of Naples L’Orientale, (Italy), and the Association of Computational Linguistics (Bulgaria). Pangeanic, El-Translations and Juremy are the official sponsors of the conference. Venue The conference will take place at the Palazzo del Mediterraneo, University of Naples Further information and contact details Registration for HiT-IT 2023 is now open. To register, please complete the registration form. The conference website (http://hit-it-conference.org/home) will be updated on a regular basis. For further information, please email 2023(a)hit-it-conference.org. --- Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies | School of Literature and Languages Personal page: https://dinel.org.uk Office: 06LC03, Phone: +44 (0) 1483 68 4115 Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

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Final Call for Participation - Workshop on Language-Based AI Agent Interaction with Children (Registration now open)
by Maike Paetzel-Prüsmann 17 Feb '23

17 Feb '23

# Final Call for Participation Workshop on Language-Based AI Agent Interaction with Children https://aichildinteraction.github.io/ February 21st, 2023, in Los Angeles, USA & Virtual (Hybrid Format) Registration: https://sites.google.com/view/iwsds2023/registration Virtual participation is free! Program: https://aichildinteraction.github.io/#schedule Papers: https://aichildinteraction.github.io/#submission Keynotes: https://aichildinteraction.github.io/keynotes.html Contact: https://groups.google.com/g/ai-child-interactions or aichildinteraction(a)gmail.com =================================================== In this workshop, we aim to bring together researchers looking into multimodal interactions between children and artificial agents to discuss research problems that center around interactivity and go beyond just processing child speech. The first part of the workshop will be concerned with conversational agents for child learning with four short presentations followed by a roundtable discussion. After a coffee break, the workshop will then focus on collecting data and practical and ethical considerations when building datasets involving children. We invite all researchers interested in AI-Child Interaction independent of their background and their previous experience with speech-based interaction to participate in the workshop. ## Accepted Papers A list of accepted papers including their PDFs can be found here: https://aichildinteraction.github.io/#submission The papers will remain on the website available to everyone even after the workshop has concluded ## Schedule An overview of the schedule is available on our website (all times are PST - UTC-8): https://aichildinteraction.github.io/#schedule In addition to two keynote presentations, the first by Prof. Khiet Truong, University of Twente, Netherlands, and the second by Prof. Shrikanth Narayanan, University of Southern California, USA, and seven short paper presentations, we will host two roundtable discussion sessions. These are interactive sessions in which we can dive deeper into the topics covered by our speakers and we welcome all participants to contribute with questions and statements. More information about the keynote speakers and their talks can be found here: https://aichildinteraction.github.io/keynotes.html ## Registration If you would like to attend our workshop, please register using the IWSDS registration website: https://sites.google.com/view/iwsds2023/registration There are three types of registration: (i) If you are already registered for the IWSDS main conference (in-person or virtual), then your workshop participation is already covered. There is no need for any extra registration. (ii) If you would like to attend the workshop in person without registering for the main conference, please choose "In-Person Workshop Only" non-student (100 USD) or student (50 USD) options towards the end of the registration form. (iii) Virtual registration is completely free of charge! Please use the same link and select the "Virtual Workshop Only - Non-students and students" option. We will send registered participants information about in-person and virtual participation as well as the Link to the Zoom Webinar the day before the workshop. ## Contact If you have questions, please get in touch via our public Google Group https://groups.google.com/g/ai-child-interactions or by sending an e-mail to aichildinteraction(a)gmail.com

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Call for participation - GURT/SyntaxFest 2023 - CxGs+NLP, Depling, TLT, UDW
by Amir Zeldes 17 Feb '23

17 Feb '23

CALL FOR PARTICIPATION � GURT/SyntaxFest 2023 - CxGs+NLP, Depling, TLT, UDW � Georgetown University Round Table on Linguistics & SyntaxFest � <https://gurt.georgetown.edu> https://gurt.georgetown.edu � Theme: Computational and Corpus Linguistics Workshops: CxGs+NLP, Depling, TLT, UDW Location: Washington, DC Date: March 9-12, 2023 � The Georgetown University Round Table on Linguistics (GURT) is a peer-reviewed annual linguistics conference held continuously since 1949 at Georgetown University in Washington DC, with topics and co-located events varying from year to year. � Under an overarching theme of ‘Computational and Corpus Linguistics’, GURT 2023 will consist of four workshops focused on computational and corpus approaches to syntax: a new workshop on CxGs+NLP, and three returning SyntaxFest workshops, Depling, TLT, and UDW. Talks will take place in plenary sessions to promote cross-fertilization of ideas across subcommunities. � � Proceedings will be published in the ACL Anthology. � New Workshop: * Construction Grammars and NLP (CxGs+NLP) � Returning SyntaxFest events: * Depling - International Conference on Dependency Linguistics * TLT - Treebanks and Linguistic Theories * UDW - Universal Dependencies Workshop � Keynote speakers: * Guy Perrier * Joan Bresnan * Joakim Nivre * Jonathan Dunn � The detailed conference program is now online here: � <https://gurt.georgetown.edu/gurt-2023/program/> https://gurt.georgetown.edu/gurt-2023/program/ � � GURT/SyntaxFest is an in-person event with a modest registration fee. For a discounted rate, register by Feb. 28 at <https://gurt.georgetown.edu/gurt-2023/registration-gurt-2023> https://gurt.georgetown.edu/gurt-2023/registration-gurt-2023. � We look forward to seeing you in Washington DC! � The GURT organizers � �

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[2nd Call] Call for Workshop & Tutorial Proposals SEMANTiCS 2023
by Jennifer D'Souza 17 Feb '23

17 Feb '23

SEMANTiCS 2023 is a major venue for research and industrial innovation and features a workshop and tutorial program addressing the diverse practical interests of its audience. This program is intended to offer a rich diversity of topics to conference attendees and local participants seeking to pick up new skills and stay up-to-date regarding the latest developments in the community. We encourage submissions of proposals on all topics in the general areas of SEMANTiCS 2023 and proposals bridging or introducing new perspectives in these areas. Workshops and tutorials may incorporate panel discussions, lightning talks, meetings, networking or hands-on sessions, hackathons and other practical formats where applicable. Rooms for business or project meetings are available upon request as well. Topics of interest include (but are not limited to): - Web Semantics & Linked (Open) Data - Enterprise Knowledge Graphs, Graph Data Management and Deep Semantics - Machine Learning & Deep Learning Techniques - Semantic Information Management & Knowledge Integration - Terminology, Thesaurus & Ontology Management - Data Mining and Knowledge Discovery - Reasoning, Rules and Policies - Natural Language Processing and Computational Linguistics - Social and Human aspects of Semantic Web - Data Quality Management and Assurance - Explainable Artificial Intelligence - Semantics in Data Science - Semantics of Blockchain & Distributed Ledger Technologies - Trust, Data Privacy, and Security with Semantic Technologies - Economics of Data, Data Services and Data Ecosystems - Applications of Semantic Web technologies in domains such as law, medicine, life sciences, digital humanities, mobility and smart cities, etc. We especially invite contributions that illustrate the applicability of the topics mentioned above for industrial purposes and/or illustrate the business relevance of their contribution for specific industries. Workshop proposals on *emerging themes* for the topics listed above are encouraged. Detailed Call for Workshops and Tutorials: https://2023-eu.semantics.cc/page/cfp_ws Workshops Deadline: March 07, 2023 (11:59 pm, Hawaii time) Notification of acceptance: March 14, 2023 (11:59 pm, Hawaii time) Tutorials Deadline: June 06, 2023 (11:59 pm, Hawaii time) Notification of acceptance: June 20, 2023 (11:59 pm, Hawaii time) *Submission via Easychair on https://easychair.org/conferences/?conf=sem23 <https://easychair.org/conferences/?conf=sem23>* *We are looking forward to your contribution!* Jennifer D’Souza, TIB – Leibniz Information Centre for Science and Technology, Germany Anisa Rula, University of Brescia, Italy *Workshop & Tutorial Chairs*

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1st Call for Participation: DISCOTEX @ EVALITA 2023
by Dominique Brunato 17 Feb '23

17 Feb '23

[Apologies for cross-posting] *************************** First Call for Participation **************************** *TASK*: Assessing DIScourse COherence in Italian TEXts (DisCoTEX) @ EVALITA 2023 *Info*: https://sites.google.com/view/discotex/home *Final Workshop*: September 7th-8th, 2023, Parma, Italy We invite interested parties from academia and industry to participate in the *DisCoTEX Task*, which will be held in the context of Evalita 2023 <https://www.evalita.it/campaigns/evalita-2023/>. DisCoTEX is the first shared task focused on modeling discourse coherence for Italian real-word texts. Coherence is a key property of any well-organized text and it plays a fundamental role in human discourse processing as well as in a number of NLP applications. Inspired by previous literature on coherence modeling, the DisCoTEX task will be articulated into two subtasks: 1. Last sentence classification: this is conceived as a binary classification task. Specifically, given a short textual passage and an individual sentence, participants will be asked to predict whether the sentence follows or not, thus joining it to the passage gives out a coherent or incoherent passage. 2. Human score prediction: this is conceived as a regression task in which participants will be asked to predict the average coherence score assigned by human raters to short passages (either in their original or modified version). Participants are free to participate in either one of them or both. More details about the definition, source data and evaluation are available at the task website <https://sites.google.com/view/discotex/home>. Given the novelty of the task and the crucial role that coherence modeling plays in a variety of application scenarios, we expect to attract groups from communities working on distinct fields, such as automatic essay scoring, readability assessment and document summarization. Moreover, we hope that beyond the competition, the task would rise the interest of scholars working on theoretical models of coherence from a linguistic and a cognitive perspective, as well as those involved in the interpretability of current language models based on deep learning networks. ----------------------- Important Dates ----------------------- 7th February 2023: training data available to participants 30th April 2023: registration closes 2nd – 9 May 2023: evaluation windows 30th May 2023: results notification to participants 14th June 2023: technical report 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: EVALITA workshop in Parma Updates will be made available at the Evalita 2023 website, check it often. ---------------- Organizers ---------------- Dominique Brunato* Davide Colla** Felice Dell'Orletta* Irene Dini* Daniele Paolo Radicioni** Andrea Amelio Ravelli* * ItaliaNLP Lab, Istituto di Linguistica Computazionale "Antonio Zampolli" (ILC-CNR), Pisa ** Dipartimento di Informatica, Università degli Studi di Torino ---------------------------------------------------------------- Contacts:*discotex.evalita2023@gmail.com* ----------------------------------------------------------------* * __ Feel free to contact us for further information! The DisCoTEX organizing committee

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Formality Control for Spoken Language Translation at IWSLT 2023
by Sweta Agrawal 17 Feb '23

17 Feb '23

We would like to invite participation in the second edition of Formality Control for Spoken Language Translation <https://iwslt.org/2023/formality> organized at IWSLT 2023 <https://iwslt.org/2023/>. This special task invites participants to advance research on controlling formality in machine translation for a diverse set of languages, focusing on zero-shot transfer across languages. Important links: - Formality task webpage: https://iwslt.org/2023/formality - Data and metric: https://github.com/amazon-science/contrastive-controlled-mt/tree/main/IWSLT… - Google Group: https://groups.google.com/g/iwslt-evaluation-campaign - IWSLT conference webpage: https://iwslt.org/2023/ HOW TO PARTICIPATE Please join the IWSLT Evaluation Campaign Google Group <https://groups.google.com/g/iwslt-evaluation-campaign> and access the registration using the following link <https://docs.google.com/forms/d/e/1FAIpQLSewDMutBgat38bIvgNwiHBWrJ6NJ7T33XI…> . We have released a formality-annotated training dataset here: https://github.com/amazon-research/contrastive-controlled-mt. Allowable generic training data is listed on the task website <https://iwslt.org/2023/formality#conditions>. Task submissions will be made on a dedicated GitHub repository. More information will be added here <https://iwslt.org/2023/formality#submission> at a later date. More resources: We will be releasing a trained multilingual classifier for both evaluation and analysis purposes. IMPORTANT DATES - Jan 14, 2023 Release of shared task training and dev data <https://github.com/amazon-science/contrastive-controlled-mt/tree/main/IWSLT…> - Apr 1-15, 2023 Evaluation period - Apr 24, 2023 Paper submission deadline (all papers) - Apr 30, 2023 System papers update deadline - May 22, 2023 Notification of acceptance - May 31, 2023 Camera-ready paper due - July 12, 2023 Pre-recorded video due - July 13-14, 2023 IWSLT conference LANGUAGE PAIRS - English → Korean - English → Vietnamese - Zero-shot languages (no training data released): - English → Portuguese - English → Russian You may participate in any subset of the language pairs. ORGANIZING COMMITTEE Sweta Agrawal (UMD) Marine Carpuat (UMD) Elijah Rippeth (UMD) Anna Currey (AWS AI Labs) Benjamin Hsu (AWS AI Labs) Phu Mon Htut (AWS AI Labs) Maria Nadejde (AWS AI Labs) Xing Niu (AWS AI Labs)

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CfP: Measuring Meanings | Computing Concepts. Practices of Operationalization and their Implications for Text Studies
by Nils Reiter 17 Feb '23

17 Feb '23

Measuring Meanings | Computing Concepts: Practices of Operationalization and their Implications for Text Studies All details can also be found here: https://cretaverein.de/mmcc/ Since the work of physicist Percy Bridgman (1927, 5), ›operationalization‹ is used to refer to the practice of determining or measuring concepts by means of a »set of operations«. In Bridgman’s strong variant of operationalization, he regarded the meaning of concepts as synonymous with the operations used to measure it. In Bridgman’s view, such operational definitions are fundamental to all research in physics. The concept of length, for instance, would thus be defined by the operations which are necessary for measuring the length of a physical object. Early on, this position was intensively discussed (cf. Frank 1956), and also criticized for that, in extreme cases, each new measurement method of a concept is equivalent to a new operational definition: »it becomes a tautology that any measurement operation is the correct one for the concept associated with it« (Chang, Cartwright 2008, 367). Text-oriented DH projects seem to align with a weaker variant of operationalization in that their activities are structured by clearly delineable sub-steps (cf. Pichler, Reiter 2022; Krautter 2022). Thereby, operationalization can both contribute to the definitional refining of (humanities’) concepts, and facilitate opportunities for their empirical examination. The workshop aims to address these questions from scientific, computational, and praxeological perspectives, and thus attempts to provide an overview of the different theoretical positions and practical approaches; in particular with regard to operationalization in the field of digital humanities and digital text analysis. We especially solicit contributions that develop their theoretical reflections by means of concrete data. Please refrain from submitting textual analyses that do not include a theoretical reflection on their operationalization practice. Guiding questions include, but are not limited to: • What is referred to as a concept in the text studying fields of the humanities? What is the role of such concepts in theory building? • What is the function of quantitative, formal or computational analysis in terms of conceptualization in text studying fields? • How does the practice of operationalization relate to traditional and current approaches to conceptualization in philosophy, e.g., Carnapian explication and conceptual engineering? • What is the practice of operationalization in text studying fields of the humanities? • How does operationalization interact with established machine learning workflows? Which understanding of operationalization is inherent in these workflows? • How does operationalizing engage with interpreting? • How do we compare and evaluate operationalizations? • How can we conceptualize the ›agent‹ that conducts the measurement (e.g., computer vs. human)? What impact do different agents and their capacities have on our understanding of operationalization? • What are the differences between expressing measurement rules in natural (such as annotation guidelines) and formal language in relation to the operationalized concepts? How do these as well as their guiding background assumptions affect our understanding of operationalization? • Does the advent of large language models (such as BERT and GPT) change our notion of operationalization -- and if so, how? Submission We invite the submission of abstracts (1 page) in English on any of the above mentioned or closely related topics. Abstracts should be submitted in PDF format to axel.pichler(a)ts.uni-stuttgart.de; they do not need to be anonymised (non-blind). Prior to the workshop, the accepted abstracts must be extended into full papers (5000–6000 words), which will be circulated before the workshop. At the workshop, each paper is presented briefly, followed by an in-depth-discussion. The revised full papers will be published. Further details on publication will follow after acceptance. For the specific deadlines, please see the timeline below. Timeline Abstract submission deadline: May 1st, 2023 Notification: May 15 2023 Paper submission: August 31 2023 Workshop: September 25/26 2023 Venue Cologne Please contact Axel Pichler (axel.pichler(a)ts.uni-stuttgart.de) for further questions. Organizers Axel Pichler, University of Stuttgart Benjamin Krautter, University of Cologne Nils Reiter, University of Cologne References Bridgman, Percy W.: The Logic of Modern Physics. New York 1927. Chang, Hasok / Cartwright, Nancy: Measurement. In: The Routledge Companion to Philosophy of Science, ed. by Stathis Psillos / Martin Curd. Abingdon, New York 2008, 367–375. Krautter, Benjamin: Die Operationalisierung als interdisziplinäre Schnittstelle der Digital Humanities. In: Scientia Poetica 26 (2022), S. 215–244. Pichler, Axel / Reiter, Nils: From Concepts to Texts and Back: Operationalization as a Core Activity of Digital Humanities. In: Journal of Cultural Analytics 7.4 (2022), https://doi.org/10.22148/001c.57195. Frank, Philipp G. (eds.): The Validation of Scientific Theories. Boston 1956.

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Open research position, NLP, Question Answering over Social Media for Healthcare
by Philipp Cimiano 17 Feb '23

17 Feb '23

There is an open research position on Question Answering over Social Media data for Healthcare Semantic Computing Group [1] at Bielefeld University. The project funding the position is concerned with automatically extract statements from health fora on the Web about how people managed their disease, what burdens they have, what symptoms affect them and how they cope with them. The goal of the project is to automatically fill questionnaires on the basis of the posts in such fora and compare the results to existing surveys in which the same questions have been directly asked to patients. Methodologically, we intend to push the state-of-the-art in QA while at the same time making a contribution to improving healthcare by discovering unmet needs and priorities of patients. Position requirements: - MSc in computational linguistics, NLP - demonstrated ability to work scientifically (e.g. through Master thesis or publications) - strong analytical, conceptual and communicative skills - ability to work in a larger team - strong programming skills The following aspects are a plus but not necessary: - PhD in NLP/computational linguistics - experience in question answering - experience in analysing social media data - experience with applications n the field of healthcare. The position is available for at least three years starting from May 2023 and is suited both for postdoctoral and PhD researchers. The group offers an intellectually stimulating and international environment with sufficient freedom to pursue own research interests. There is no teaching involved. Knowledge of German is not required. The application deadline is March 13th. Please send your applications directly to Prof. Dr. Philipp Cimiano at cimiano(a)cit-ec.uni-bielefeld.de <mailto:cimiano@cit-ec.uni-bielefeld.de> [1] http://www.sc.cit-ec.uni-bielefeld.de/home/ <http://www.sc.cit-ec.uni-bielefeld.de/home/> Prof. Dr. Philipp Cimiano AG Semantic Computing Exzellenzcluster für Cognitive Interaction Technology (CITEC) Universität Bielefeld Tel: +49 521 106 12249 Fax: +49 521 106 6560 Mail: cimiano(a)cit-ec.uni-bielefeld.de Office CITEC-2.307 Universitätsstr. 21-25 33615 Bielefeld, NRW Germany

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Third CFP: Language Technologies and Digital Humanities: Resources and Applications (LTаDH-RA)
by Kiril Simov 16 Feb '23

16 Feb '23

Language Technologies and Digital Humanities: Resources and Applications (LTаDH-RA) CLaDA-BG 2023 Conference https://clada-bg.eu/en/dissemination/events/international-clada-bg-conferen… Sofia, Bulgaria 10-12 May 2023 CLaDA-BG is the Bulgarian national research infrastructure for resources and technologies for linguistic, cultural and historical heritage, integrated within CLARIN EU and DARIAH EU. Its mission is to provide access to the necessary resources and technologies that would support the research in Social Sciences and Humanities (SS&H). Modeling and linking of various types of knowledge and its contexts is crucial for the successful research in the interdisciplinary field of resources and technologies related to language, culture and history. This is the second edition of the CLaDA-BG conference. It aims at bringing together NLP developers, linguists, digital humanitarians, scholars and all parties interested in knowledge modeling and linking data for research. Topics of Interest The topics include, but are not limited to, the following ones: Problems in SS&H – research methods, technological support Language technologies for sentiment analysis, semantic technologies, trust-worthiness of knowledge graphs, ethical challenges in digital SS&H Knowledge Modeling and Elicitation for digital SS&H Specific Language Resources and Technologies for historical texts, parliamentary records, speech and multimodal corpora, social media data The role of digital libraries, archives and museums in digital SS&H research Language Interface to Knowledge Graphs in SS&H Knowledge-modeled and linked applications in SS&H Best practices and new trends in Knowledge Modeling and Linking for language, culture and history Invited Speakers Alessandro Lenci, Università di Pisa, Italy Erhard Hinrichs, Leibniz Institut für Deutsche Sprache Mannheim and Tübingen University, Germany Milena Dobreva, Sofia University St Kliment Ohridski, Bulgaria Important Dates Submission deadline: 24.02.2023 Notification of acceptance: 3.04.2023 Final Submission: 3.05.2023 Conference: 10-12.05.2023 Submissions We welcome oral presentations or posters (optionally with demo). There are two modes of submissions: Full papers (6 to 12 pages) or extended abstracts (3-5 pages, references excluded) in PDF format, in accordance with the Springer Computer Science Proceedings (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu…). Please submit your full paper or extended abstract in PDF to this EasyChair link: https://easychair.org/my/conference?conf=ltdhra2023 For contacting organizers please use the following email: ltadh-ra(a)bultreebank.org The CLaDA-BG Organizer

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Call for Papers: IPAN - Interdisciplinary Perspectives on Anorexia Nervosa
by gloria.gagliardi＠unibo.it 16 Feb '23

16 Feb '23

*Apologies for cross-posting* __________________________________________________________________________________ Full Title: Interdisciplinary Perspectives on Anorexia Nervosa Short Title: IPAN Date: May 26th 2023 Location: University of Bologna, Bologna, Italy Contact Persons: Gloria Gagliardi; Paola Vernillo Meeting Email: gloria.gloria(a)unibo.it; paola.vernillo(a)unibo.it Web Site: https://site.unibo.it/metaphan/it Research Field(s): Clinical Linguistics, Cognitive Science, Discourse Analysis, Natural Language Processing, Neurolinguistics, Psycholinguistics, Psychology, and Neuropsychiatry. Call Deadline: 19th March 2023 We are pleased to announce the upcoming International Conference IPAN (“Interdisciplinary Perspectives on Anorexia Nervosa”), to be held at the University of Bologna (Italy) on May 26th, 2023, in hybrid (both in-person and online) format. The conference is centered on the study of AN in its various aspects, but it particularly focuses on its linguistic profile. Call for Papers: Anorexia nervosa (AN) is a psychopathological gendered disorder characterized by disturbance in eating behavior, which manifests in the form of dysfunctional routines, such as food deprivation, obsessive weight control, and compulsive physical exercise. Beyond the disordered eating behaviors, AN appears to be also characterized by inflexible thinking, rigid habits, disconnection from the bodily experience, strong sensitivity to praise, anxiety, and perfectionism. Interestingly, from a very linguistic point of view, evidence of the linguistic changes characterizing patients with eating disorders seems to be less clear and the overall picture more blurred. Despite the fact that in the last decade a growing body of linguistic studies have been devoted to the investigation of linguistic changes in various clinical conditions, only a limited number of works have been specifically conducted on the linguistic profile of patients with eating disorders (ED), and an even smaller number has specifically focused on AN. This has meant that not only many issues are still unsolved, but also that several linguistic aspects of AN happen to be unexplored territory. “Interdisciplinary Perspectives on Anorexia Nervosa” (IPAN) is a conference aimed at fostering multidisciplinary exchange about research on AN and, more in general, on eating disorders. It invites contributions from all fields related to the study of this subject, including (but not limited to) Linguistics, Psychology, and Neuropsychiatry. The conference is open for research on various aspect of eating disorders. Topics of interest include the following: - Linguistic profile of AN: morphosyntactic and lexical markers - Conceptual representation of AN: abstraction deficits and concretism - Relationship between altered body image and disordered eating - NLP detection of online pro-ana and pro-mia communities - NLP and altered linguistic patterns in AN - Representation of eating disorders in social media - Analysis of voice disturbance in patients with eating disorders This conference aims to provide an excellent opportunity to present and discuss ongoing research on eating disorders, both from theoretical and experimental viewpoints. Since our main aim is to bring together experts on ED/AN from different backgrounds and provide an environment for dialogue, we invite researchers from all related fields to submit abstracts to the conference. Time and Venue:       Date: May 26th 2023 Venue: Bologna (more information soon) Invited Speakers: Laura A. Cariola, The University of Edinburgh More to be announced… Abstract Submission Abstracts should be submitted, in word/rtf format, with your name, affiliation, and e-mail address directly to gloria.g...(a)unibo.it and paola.v...(a)unibo.it. Abstracts should not be longer than 400 words of text (excluding references) and should include up to 5 keywords.  Paper presentations will be allowed 20 minutes plus 10 minutes for discussion and will be in English. If you have any questions, please do not hesitate to contact us at gloria.gloria(a)unibo.it; paola.vernillo(a)unibo.it __________________________________________________________________________________ Important Dates and Key Information Abstract submission opens: February 6th 2023 Abstract submission deadline: March 19th 2023 Registration: Participation at the conference is free of charge, but registration is compulsory. Scientific Committee: Marianna Bolognesi Vittoria Cuteri Gloria Gagliardi Caterina Mauri Antonia Parmeggiani Jacopo Pruccoli Paola Vernillo Local Organizers:   Gloria Gagliardi Paola Vernillo

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[PhD-Position] Research Position in Speech- and Text Anonymization in Medical Domain in Berlin
by Polzehl, Tim, PD Dr.-Ing. 16 Feb '23

16 Feb '23

Dear colleagues, we have a new PhD vacancy in the field of speech- and text anonymization in the medical domain in Berlin, Germany. The position is in the “Medinym” project of the department of Quality and Usability Labs of Berlin Institute of Technology. We’re looking for a Researcher or Junior Researcher level, offer a 2 years contract with optional prolongation and PhD perspective. Application deadline: Feb 28 More details and how to apply: TU Berlin: https://www.jobs.tu-berlin.de/en/job-postings/161912 Please circulate upon potentially interested. Many thanks! In case of questions pls contact me, I'm happy to help. Best regards from Berlin, Tim -- Dr.-Ing. Tim Polzehl Associate Senior Researcher Technische Universität Berlin Quality and Usability Lab Ernst-Reuter-Platz 7 D-10587 Berlin, Germany Email: tim.polzehl(a)qu.tu-berlin.de Web: www.qu.tu-berlin.de

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The 28th International Conference on Natural Language & Information Systems - Second call for papers
by Farid Meziane 16 Feb '23

16 Feb '23

NLDB 2023 The 28th International Conference on Natural Language & Information Systems 21-23 June 2023, University of Derby, United Kingdom. https://www.derby.ac.uk/events/latest-events/nldb-2023/ About NLDB The 28th International Conference on Natural Language & Information Systems will be held at the University of Derby, United Kingdom and will be a face to face event. Since 1995, the NLDB conference brings together researchers, industry practitioners, and potential users interested in various application of Natural Language in the Database and Information Systems field. The term "Information Systems" has to be considered in the broader sense of Information and Communication Systems, including Big Data, Linked Data and Social Networks. The field of Natural Language Processing (NLP) has itself recently experienced several exciting developments. In research, these developments have been reflected in the emergence of neural language models (Deep Learning, Word Embeddings, Transformers) and the importance of aspects such as transparency, bias and fairness, a (renewed) interest in various linguistic phenomena, such as in discourse and argumentation mining, and in new problems such as the detection of disinformation and hate speech in social media, as well of mental health disorders that increased during the recent pandemic. Regarding applications, NLP systems have evolved to the point that they now offer real-life, tangible benefits to enterprises. Many of these NLP systems are now considered a de-facto offering in business intelligence suites, such as algorithms for recommender systems and opinion mining/sentiment analysis. It is against this backdrop of recent innovations in NLP and its applications in information systems that the 28th edition of the NLDB conference takes place. We welcome research and industrial contributions, describing novel, previously unpublished works on NLP and its applications across a plethora of topics as described in the Call for Papers. Call for Papers NLDB 2023 invites authors to submit papers for oral or poster presentations on unpublished research that addresses theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP, as well as survey and discussion papers. This year's edition of NLDB also introduces an Industry Track, to foster fruitful interaction between the industry and the research community. Topics of interest include but are not limited to: * Social Media and Web Analytics: Opinion mining/sentiment analysis, irony/sarcasm detection; detection of fake reviews and deceptive language; detection of harmful information: fake news and hate speech; sexism and misogyny; detection of mental health disorders; identification of stereotypes and social biases; robust NLP methods for sparse, ill-formed texts; recommendation systems. * Deep Learning and eXplainable Artificial Intelligence (XAI): Deep learning architectures, word embeddings, transparency, interpretability, fairness, debiasing, ethics. * Argumentation Mining and Applications: Automatic detection of argumentation components and relationships; creation of resource (e.g. annotated corpora, treebanks and parsers); Integration of NLP techniques with formal, abstract argumentation structures; Argumentation Mining from legal texts and scientific articles. * Question Answering (QA): Natural language interfaces to databases, QA using web data, multi-lingual QA, non-factoid QA(how/why/opinion questions, lists), geographical QA, QA corpora and training sets, QA over linked data (QALD). * Corpus Analysis: multi-lingual, multi-cultural and multi-modal corpora; machine translation, text analysis, text classification and clustering; language identification; plagiarism detection; information extraction: named entity, extraction of events, terms and semantic relationships. * Semantic Web, Open Linked Data, and Ontologies: Ontology learning and alignment, ontology population, ontology evaluation, querying ontologies and linked data, semantic tagging and classification, ontology-driven NLP, ontology-driven systems integration. * Natural Language in Conceptual Modelling: Analysis of natural language descriptions, NLP in requirement engineering, terminological ontologies, consistency checking, metadata creation and harvesting. * Natural Language and Ubiquitous Computing: Pervasive computing, embedded, robotic and mobile applications; conversational agents; NLP techniques for Internet of Things (IoT); NLP techniques for ambient intelligence * Big Data and Business Intelligence: Identity detection, semantic data cleaning, summarisation, reporting, and data to text. Important Dates: Full paper submission: 14 March, 2023 Paper notification: 10 April, 2023 Camera-ready deadline: 24 April, 2023 Conference: 21-23 June 2023 Submission Guidelines Authors should follow the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gu… ) and submit their manuscripts in pdf via Easychair (https://easychair.org/conferences/?conf=nldb2023 ) Submissions can be full papers (12 pages maximum including references), short papers (8 pages including references) or papers for a poster presentation or system demonstration (6 pages including references). The programme committee may decide to accept some full papers as short papers or poster papers. The reviewing process of NLDB 2023 is double-blind, i.e., submissions must not contain author names or other identifying information, such as funding sources, acknowledgments and must use the third person to refer to work the authors have previously undertaken. System demonstration papers may not be anonymous. [University of Derby] Professor Farid Meziane, PhD, FHEA Professor of Data Science Data Science Research theme lead Head Data Science Research Centre<https://www.derby.ac.uk/research/about-our-research/centres-groups/data-sci…> Chair, College Research Committee College of Science and Engineering University of Derby, Markeaton Street, Derby DE22 3AW NLDB2023 Conference at Derby <https://www.derby.ac.uk/events/latest-events/ndlb-2023/> Te: 01332 594031 f.meziane(a)derby.ac.uk<mailto:f.meziane@derby.ac.uk> The University of Derby has a published policy regarding email and reserves the right to monitor email traffic. If you believe this was sent to you in error, please reply to the sender and let them know. Key University contacts: http://www.derby.ac.uk/its/contacts/

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[Job opening] Computational linguist - European Parliament
by Elisa Di Nuovo 16 Feb '23

16 Feb '23

Dear list members, I would like to draw your attention on the following job opening at the European Parliament, Directorate-General for Translation, Directorate for Citizens' language, Speech-to-Text Unit. Currently the team is managing a project aimed at acquiring an Automatic Speech Recognition (ASR) and Machine Translation (MT) cascade tool covering all the 24 official languages of the European Union. The main goal of this tool is to make plenary debates accessible to D/deaf and hard of hearing persons. The successful candidate will be responsible for the evaluation of the tool, evaluated using both automatic metrics and human assessment. A job description is attached to this email. The main responsibilities are: - linguistic evaluation of the performance of the tool (automatic metrics + human evaluation); - monitoring the performance of the tool in real events; - writing reports; - data collection, curation and annotation for the purposes of the project; - terminology coordination; - project-related research and technology watch; - other project related activities. The contract length is 1 year (renewable maximum for 6 years) and is identified as Contractual Agent FG IV. The job will be performed in Luxembourg. Possible *commencement of duties* on the 1st of September 2023. If interested, please send your CV to Dr Marcin Feder ( marcin.feder(a)europarl.europa.eu) *by the 16th March 2023*. Best regards, Elisa Di Nuovo

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CfP: Data for the Wellbeing of Most Vulnerable Workshop @ICWSM'23
by yelena.mejova＠gmail.com 16 Feb '23

16 Feb '23

Call for Papers & Participation Fourth Workshop on DATA FOR THE WELLBEING OF MOST VULNERABLE https://sites.google.com/view/dataforvulnerable23 June 5, 2023 at Limassol, Cyprus * Submissions due: March 27, 2022 * At the International AAAI Conference on Web and Social Media (ICWSM) https://www.icwsm.org/2023/index.html The scale, reach, and real-time nature of the Internet is opening new frontiers for understanding the vulnerabilities in our societies, including inequalities and fragility in the face of a changing world. From tracking seasonal illnesses like the flu across countries and populations, to understanding the context of mental conditions such as anorexia and bulimia, web data has the potential to capture the struggles and wellbeing of diverse groups of people. Vulnerable populations including children, elderly, racial or ethnic minorities, socioeconomically disadvantaged, underinsured or those with certain medical conditions, are often absent in commonly used data sources. The recent developments around COVID-19 epidemic makes these issues even more urgent, with an unequal share of both disease and economic burden among various populations. Thus, the aim of this workshop is to encourage the community to use new sources of data as well as methodologies to study the wellbeing of vulnerable populations. The selection of appropriate data sources, identification of vulnerable groups, and ethical considerations in the subsequent analysis are of great importance in the extension of the benefits of big data revolution to these populations. As such, the topic is highly multidisciplinary, bringing together researchers and practitioners in computer science, epidemiology, demography, linguistics, and many others. - We anticipate topics such as the below will be relevant: - Establishing cohorts, data de-biasing - Validation via individual-level or aggregate-level data - Linking data to disease and other well-being - Population data sources for validation - Correlation analysis and other statistical methods - Longitudinal analysis on social media - Spatial, linguistic, and temporal analyses - Privacy, ethics, and informed consent - Data quality issues Important Dates Papers Submissions: March 27, 2023 Paper Acceptance Notification: April 10, 2023 Final Camera-Ready Paper Due: May 6, 2023 ICWSM-2023 Workshops Day: June 5, 2023 Submission Instructions We welcome both 2-page abstracts, as well as Long (8 pages) and Short (4 pages) papers - excluding references (11 pages max with references and ethics statement). The Long and Short papers will be published in ICWSM Workshop proceedings (http://workshop-proceedings.icwsm.org/). The papers have to follow the AAAI format, as outlined here: https://www.overleaf.com/latex/templates/aaai-2023-author-kit/wxnmhzcrjbpc Submit here: https://easychair.org/conferences/?conf=dwmv23 Contact Feel free to contact organizers with any questions: Yelena Mejova <yelena.mejova(a)isi.it> ISI Foundation, Italy https://yelenamejova.com Kyriaki Kalimeri <kalimeri(a)ieee.org> ISI Foundation, Italy https://www.linkedin.com/in/kalimeri/ Daniela Paolotti <daniela.paolotti(a)isi.it> ISI Foundation, Italy https://www.isi.it/en/people/daniela-paolotti

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Call for Papers: MATCHING WORKSHOP @ ACL 2023
by Estevam Rafael Hruschka Junior 16 Feb '23

16 Feb '23

MATCHING WORKSHOP @ ACL 2023 https://megagon.ai/matching-2023/ *I**mportant Dates* direct submission via OpenReview: April 24, 2023 submission via ARR - commitment deadline: May 8th, 2023 Notification of Acceptance: May 22, 2023 Camera-ready papers due: June 6, 2023 Pre-recorded video due: June 12, 2023 MATCHING Workshop @ACL2023 (Toronto and remote): July 13 Matching Entities from structured and unstructured sources is an important task in many domains and applications such as HR and E-commerce. For example, in HR platforms/services, it is important to match resumes to job descriptions and job seekers to companies. Similarly in web platforms/services, it is important to match customers to businesses such as hotels and restaurant, among others. In such domains, it is also relevant to match “textual customer reviews” to customers queries, and sentences (or phrases) as answers to customer questions. Recent advances in Natural Language Processing, Natural Language Understanding, Conversational AI, Language Generation, Machine Learning, Deep Learning, Data Management, Information Extraction, Knowledge Bases/Graphs, (MultiSingle Hop/Commonsense) Inference/Reasoning, Recommendation Systems, and others, have demonstrated promising results in different Matching tasks related (but not limited) to the previously mentioned domains. We believe that there is tremendous opportunity to further exploit and explore the use of advanced NLP (and language related) techniques applied to Matching tasks. Therefore, the goal of this workshop is to bring together the research communities (from academia and industry) of these related areas, that are interested in the development and the application of novel natural-language-based approaches/models/systems to address challenges around different Matching tasks. *Confirmed Invited Speakers* Alan Ritter - Georgia Tech Ndapa Nakashole - UC San Diego William Cohen - Google We invite submissions of long and short papers on original and unpublished work that address challenges around the specific task of matching information from heterogeneous sources spanning structured (e.g., databases, resume) and unstructured (e.g., online reviews, job advertisements, social media posts) data. The topics include but are not limited to: * Entity Alignment; * Entity Matching; * Entity Linking; * Language-Model-based Matching; * Data-driven Matching; * Knowledge-graph-based matching; * Rule-based Matching; * Temporal Information Matching; * Human-Centric AI for Matching; * Trust, Explainability, and Fairness in Matching; * Information extraction from user-generated text; * Robustness to noise * Matching applications: recommendations, question answering, fact checking, news and social media content identification/suggestion, etc. All machine learning, text mining, and natural language processing techniques are welcome. All regular papers and short papers should follow the ACL 2023 style guidelines: “Both long and short papers must follow the ACL 2023 two-column format, using the supplied official style files. The templates can be downloaded in Style Files and Formatting. 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.” The maximum length of a regular paper is 8 pages plus an unlimited number of pages for references. The maximum length of a short paper is 4 pages plus an unlimited number of pages for references. At least one author of every accepted paper is expected to attend the workshop. MATCHING is using a hybrid submission process, Authors can submit their papers using the OpenReview platform ( https://openreview.net/group?id=aclweb.org/ACL/2023/Workshop/MATCHING&refer…). Alternatively, authors can also commit papers and reviews from ARR. We allow parallel commitment to the EACL 2023 conference and our workshop, with the requirement that if the paper is accepted at EACL 2023, it will be withdrawn from archival publication at the workshop. We ask the authors to notify MATCHING if they have also committed to EACL or other workshops. All accepted short and long papers must be presented as a talk/poster/demo at the workshop, depending on the workshop schedule. At least one author of each accepted paper must register for ACL 2023 and attend the workshop. Mentorship Program We will be hosting a mentorship program to facilitate exchange between authors and experts working in areas relevant to the workshop. The goal of this program is to foster collaborations and increase the quality and impact of the submissions. Mentors are expected to guide mentees during the mentorship period as they prepare submissions for this workshop. Their interactions may include an in-depth discussion of related work to ensure submissions are well contextualized, discussions on writing and presentation of the submission, and discussions about possible extensions of the submissions. Mentees are expected to prepare the submissions by February 28, 2023 and contact their assigned mentor. Mentors and mentees are encouraged to dedicate at least 4hrs over the course of the program to maximize the benefits of the program. They can meet virtually within the first week after the mentor-mentee matching is made and set expectations for subsequent meetings. Their efforts should culminate in a final version of the paper that should be submitted by the deadline. Applications to the mentorship program are due February 28, 2023 Application to be a mentor/mentee: Apply Here: *Organizers:* Estevam Hruschka - Megagon Labs Tom Mitchell - Carnegie Mellon University Dunia Mladenić - Jozef Stefan Institute (JSI) Marko Grobelnik - Jozef Stefan Institute (JSI) Sajjadur Rahman - Megagon Labs *Contact* If you have any questions or inquiries regarding the workshop or need further information, please do not hesitate to send an email to matching-workshop(a)megagon.ai -- Estevam Hruschka Lab Director and Staff Research Scientist Megagon Labs - www.megagon.ai -- Sent from my iPhone

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First CFP: AmericasNLP 2023 @ ACL
by Katharina Kann 15 Feb '23

15 Feb '23

The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP 2023) First Call for Papers The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP) will be co-located with the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 <https://2023.aclweb.org/>), which is scheduled to be held in Toronto, Canada, between July 9-14, 2023. The goal of the workshop is to encourage and increase the visibility of work on the Indigenous languages of the Americas. It aims to encourage research on NLP, computational linguistics, corpus linguistics and speech for Indigenous languages, to connect researchers and professionals from underrepresented communities and native speakers of endangered languages with the ACL community, and, more generally, to promote machine learning approaches suitable for low-resource languages. We invite the submission of - Long papers (8 pages) and short papers (4 pages) on substantial, original, and unpublished research - Non-archival extended abstracts (2 pages), technical reports (8 pages), and work which has been presented at other venues (in the format of the original publication) Submissions do not need to describe work on native languages directly, as long as it is clear why those can benefit from the described approaches. Areas of interest include but are not limited to: - Creation of datasets for NLP applications - Incorporation of external knowledge into neural systems - Linguistic typology and the use of typological features for NLP - Transfer learning, meta-learning, and active learning - Weakly supervised, semi-supervised, and unsupervised learning - Machine translation of low-resource languages - Morphology and phonology of low-resource languages - NLP applications for Indigenous languages of the Americas Important dates: - Start of the anonymity period: March 15, 2023 - Submission deadline: April 15, 2023 - Notification of acceptance: May 15, 2023 - Camera ready papers due: May 26, 2023 - Workshop: July 14, 2023 All deadlines are 11.59 pm UTC -12h (anywhere on earth). Link to submission portal: https://softconf.com/acl2023/AmericasNLP2023/ The workshop also includes: - An open-ended machine translation shared task on truly low-resource languages - A mentoring program to support students and newcomers from underrepresented communities (application form: https://forms.gle/afBWauDfDQijXHTy9) We also have a diverse set of invited speakers, focused on bridging the gap between linguists, NLP, and machine learning research! - Steven Bird (linguistics; ethics) - Emiliana Cruz Cruz (linguistics; anthropology; education) - Angela Fan (NLP; machine translation) - Kristine Stenzel (field linguistics; American Indigenous languages) Organizing Committee - Manuel Mager, AWS AI Labs - Arturo Oncevay, University of Edinburgh - Enora Rice, University of Colorado Boulder - Abteen Ebrahimi, University of Colorado Boulder - Shruti Rijhwani, Google Research - Alexis Palmer, University of Colorado Boulder - Katharina Kann, University of Colorado Boulder More information and contact information can be found at http://turing.iimas.unam.mx/americasnlp/. -- Dr. Katharina Kann Assistant Professor of Computer Science University of Colorado Boulder Personal page: https://kelina.github.io Group page: https://nala-cub.github.io

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CfP 4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023) @ SIGIR 2023
by Krestel, Ralf 15 Feb '23

15 Feb '23

4th Workshop on Patent Text Mining and Semantic Technologies (PatentSemTech2023) ================================================================================ The PatentSemTech2023 workshop aims to establish a long-term collaboration and a two-way communication channel between the IP industry and academia from relevant fields such as natural language processing (NLP), text and data mining (TDM), and semantic technologies (ST) in order to explore and transfer new knowledge, methods, and technologies for the benefit of industrial applications as well as support research in applied sciences for the IP and neighbouring domains. Call for Contributions ====================== PatentSemTech2023 will be held as a full-day event in conjunction with SIGIR 2023. Workshop website: http://ifs.tuwien.ac.at/patentsemtech/ Important Dates =============== Submission deadline: April 25, 2023 Notification: May 23, 2023 SIGIR PatentSemTech2023 workshop: July 27, 2023 Topics of Interest ================== We encourage submissions of high quality research papers on all topics related to the IP domain. Topics of interest include (but are not limited to): * Text mining and retrieval from patents, legal documents, or other scientific-technical information sources * Machine learning methods, in particular deep learning methods for - Representation learning (word and document embeddings) - Query expansion - Clustering and classification - Recommendation - IPC/CPC prediction - Trend detection - Entity extraction * Semantic approaches for - Linking semantic information - Integrating external knowledge sources - Semantic enrichment * Methods and applications for retrieving, mining, and analysing, including - Patent landscaping - Hot spot / White spot analysis - Multi-modal analysis - Technology trend analysis - Innovative user interfaces - Visual user interface concepts Contributions ============= We solicit two types of submissions: full papers and short papers for three tracks: research, demo, and summarization task. Full papers will be limited to 8 pages (including references); short papers will be 4 pages (including references). The submissions will be peer-reviewed by at least two program committee members and evaluated based on innovativeness, novelty, interestingness, and impact. We plan for three tracks: *Research Track* For this track, we solicit contributions from academia that present * Novel applications of existing state of the art methods for the IP domain * Novel methods or tasks in the IP domain * Novel user interfaces for the IP domain * Novel evaluation or analysis insights in the IP domain * Novel benchmark datasets or other resources of interest * A survey or overview related to a particular task in the IP domain *Demo/System Track* We solicit demos, case study, insights, or novel ideas from industry that present * Focused case studies making use of semantic technologies or machine learning * Interesting IP-related task descriptions or best practices for patent analysis * In-use systems or prototype implementations of semantic technologies * Demos on processing or analysing data from the IP domain, or user interfaces * In-use resources related to patents or external resources, e.g., linked open data. *Summarization Task Track* Within the patent text mining community, especially from the industry, there is an interest in developing text mining tools targeting text summarization. * Participants are free to use publicly available data sets to train their models. We recommend exploring US Patents, which many contain the text section SUMMARY OF THE INVENTION. * We will also publish a small training and test data set on the 23rd of February. The provided data set is composed of patents within the field of Green Plastics Technology. * Participants are asked to submit a short (4 pages) scientific paper, which will be peer-reviewed by the workshop organizers. The most interesting submissions will be invited to present their solution at the workshop. * Furthermore, we will have an additional interactive evaluation to reflect a more real-life scenario at the workshop, making it possible to evaluate not only the performance in terms of F1, ROUGE, recall, precision etc., but also efficiency. Therefore the invited participants will be asked to set-up their solutions as a service and provide a REST API. Input will be a patent document (PDF,DOCX), and output should be a summary of not more than 700 words. Submission Guidelines ===================== Submissions must be in English, in PDF, and in the current ACM two-column conference format. Suitable LaTeX, Word, and Overleaf templates are available from the ACM Website: https://www.acm.org/publications/proceedings-template ("sigconf" template for LaTeX; Interim Template for Word). Submissions should be at most 8 (full) or 4 (short) pages (including figures and references) in length. Submissions should be submitted electronically via EasyChair: https://www.easychair.org/conferences/?conf=patentsemtech2023. At least one author of each accepted paper is required to register for, and present the work in person at the workshop. Publication =========== Accepted papers will be published as CEUR proceedings. Selected contributions will be invited to submit extended, full papers to Elsevier's World Patent Information (WPI) journal: https://www.journals.elsevier.com/world-patent-information/ Organizers ========== Ralf Krestel (ZBW & CAU Kiel, Germany), Hidir Aras (FIZ Karlsruhe, Germany), Linda Andersson (Artificial Researcher, Austria), Florina Piroi (Data Science Studio, RSA FG, Austria), Allan Hanbury (TU Wien, Austria), Dean Alderucci (CMU, USA) All questions about submissions should be emailed to: r.krestel(a)zbw.eu and hidir.aras(a)fiz-karlsruhe.de

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February 2023 Newsletter - LDC
by Penn LDC 15 Feb '23

15 Feb '23

In this newsletter: LDC membership discounts expire March 1 30th Anniversary Highlight: Arabic Treebank New publications: 2019 NIST Speaker Recognition Evaluation Test Set - Audio-Visual<https://catalog.ldc.upenn.edu/LDC2023V01> LORELEI Tagalog Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T02> ________________________________ LDC membership discounts expire March 1 Time is running out to save on 2023 membership fees. Renew your LDC membership, rejoin the Consortium, or become a new member by March 1 to receive a discount of up to 10%. For more information on membership benefits and options, visit Join LDC<https://www.ldc.upenn.edu/members/join-ldc>. 30th Anniversary Highlight: Arabic Treebank The Penn/LDC Arabic Treebank (ATB) project began in 2001 with support from the DARPA TIDES program and later, the DARPA GALE and BOLT programs. The original focus was on Modern Standard Arabic (MSA), not natively spoken and not homogenously acquired across its writing and reading community. In addition to the expected issues associated with complex data annotation, LDC encountered several challenges unique to a highly inflected language with a rich history of traditional grammar. LDC relied on traditional Arabic grammar, as well as established and modern grammatical theories of MSA -- in combination with the Penn Treebank approach to syntactic annotation -- to design an annotation system for Arabic. (Maamouri, et al., 2004<https://www.ldc.upenn.edu/sites/www.ldc.upenn.edu/files/nemlar2004-penn-ara…>). LDC was innovative with respect to traditional grammar when necessary and when other syntactic approaches were found to account for the data. LDC also developed a wide-coverage MSA morphological analyzer, LDC Standard Arabic Morphological Analyzer (SAMA) Version 3.1 (LDC2010L01<https://catalog.ldc.upenn.edu/LDC2010L01>), which greatly benefited ATB development. Revisions to the annotation guidelines during the DARPA GALE program (principally related to tokenization and syntactic annotation) improved inter-annotator agreement and parsing scores. ATB corpora were annotated for morphology, part-of-speech, gloss, and syntactic structure. Data sets based on MSA newswire developed under the revised annotation guidelines include Arabic Treebank: Part 1 v 4.1 (LDC2010T13<https://catalog.ldc.upenn.edu/LDC2010T13>), Arabic Treebank: Part 2 v 3.1 (LDC0211T09<https://catalog.ldc.upenn.edu/LDC2011T09>), and Arabic Treebank: Part 3 v 3.2 (LDC2010T08<https://catalog.ldc.upenn.edu/LDC2010T08>). Other genres are represented in Arabic Treebank - Broadcast News v 1.0 (LDC2012T07<https://catalog.ldc.upenn.edu/LDC2012T07>) and Arabic Treebank - Weblog (LDC2016T02<https://catalog.ldc.upenn.edu/LDC2016T02>). LDC's later work on Egyptian Arabic treebanks in the DARPA BOLT program benefited from the strides in its MSA treebank annotation pipeline. As for the challenges presented by informal, dialectal material, collaborator Columbia University provided a normalized Arabic orthography to account for instances of Romanized script (Arabizi) in the data and developed a morphological analyzer (CALIMA) in parallel, working in a tight feedback loop with LDC's annotation team. SAMA and CALIMA were synchronized in the Egyptian Arabic treebanks, the former used for MSA tokens and the latter used for Egyptian Arabic tokens. Resulting corpora include BOLT Egyptian Arabic Treebank - Discussion Forum (LDC2018T23<https://catalog.ldc.upenn.edu/LDC2018T23>), Conversational Telephone Speech (LDC2021T12<https://catalog.ldc.upenn.edu/LDC2021T12>), and SMS/Chat (LDC2021T17<https://catalog.ldc.upenn.edu/LDC2021T17>). ATB corpora and its related releases are available for licensing to LDC members and nonmembers. For more information about licensing LDC data, visit Obtaining Data<https://www.ldc.upenn.edu/language-resources/data/obtaining> ________________________________ New publications: 2019 NIST Speaker Recognition Evaluation Test Set - Audio-Visual<https://catalog.ldc.upenn.edu/LDC2023V01> contains approximately 64 hours of English audio-visual data for development and test, answer keys, enrollment, trial files, and documentation from the NIST-sponsored 2019 Speaker Recognition Evaluation (SRE)<https://www.nist.gov/itl/iad/mig/nist-2019-speaker-recognition-evaluation>. The 2019 evaluation task was speaker detection, that is, to determine whether a specified target speaker was speaking during a segment of speech. The evaluation was conducted in two parts: (1) a leaderboard-style challenge based on conversational telephone speech and (2) a separate evaluation using audio-visual data. This release relates to the audio-visual evaluation. The source audio-visual data was collected by LDC for the VAST (Video Annotation for Speech Technology) project. That collection focused on amateur video recordings from various online media hosting services. The recordings vary in duration from 17.5 seconds to 13 minutes; most have two audio channels (stereo), but some are monophonic (one channel). 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Tagalog Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T02> was developed by LDC and is comprised of approximately 4.8 million words of Tagalog monolingual text, 341,000 words of found Tagalog-English parallel text, and 124,000 Tagalog words translated from English data. Approximately 78,000 words were annotated for named entities and over 26,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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2nd Deadline extension to 31/03: JLM spec. issue on Computational Approaches to Morphological Typology
by Sacha Beniamine 15 Feb '23

15 Feb '23

Dear colleagues, We are further extending the deadline for this call to the 31st of March. Please find below the updated call: ------------- We invite researchers in the broad area of computational morphology to submit their recent, unpublished work to a special issue of the Journal of Language Modelling <https://jlm.ipipan.waw.pl/index.php/JLM><https://jlm.ipipan.waw.pl/index.php/JLM>. Motivation: Computational techniques have a long history of use in the study of morphology, where they have been used both for practical tasks such as the analysis and production of complex word forms and for theoretical ones such as structural and informational analysis of morphological systems. As both systems and datasets improve, these techniques are increasingly developed and evaluated on a typologically diverse array of languages, including many which are endangered or lack large-scale resources. Detailed comparisons across languages can help to reveal typological biases or assumptions within existing computational techniques [1, 2]. Alternatively, computational methods and analyses can also shed light on questions within linguistic typology [3, 4, 5, 6]. The goal of this special issue is to bring researchers from multiple communities together in exploring issues of linguistic typology across a wide range of different languages and phenomena. We encourage the submission of work on endangered or less-studied languages. The Journal of Language Modelling is a free (for readers and authors alike) open-access peer-reviewed journal. All articles are peer-reviewed by at least 3 reviewers, usually including at least one member of the Editorial Board. Topics of interest: - Typological clustering or classification of languages - Investigation of particular linguistic features which improve or detract from the performance of computational morphology tools - Comparison of morphological structures (e.g., inflection classes, implicative networks) across typologically different languages - Investigation of diachronic typological change using computational methods - Creation, curation or analysis of typological databases via computational methods Submissions: The submissions should be journal papers, not proceedings papers, totalling 25-50 pages, excluding references. Authors are advised to use the online manuscript submission for the journal. Make sure to select the special issue when asked to provide the article type. More information, including formatting instructions for authors can be found on the journal's webpage at: https://jlm.ipipan.waw.pl/index.php/JLM/about/submissions. An adaptation of the LaTeX template for overleaf can be found at: https://fr.overleaf.com/latex/templates/template-for-journal-of-language-mo…. Important dates: Call for papers issued: 15/7/2022 Submissions due: 15/1/2023 --- extended to 31/03/2023 Author notification: Spring 2023 Guest editors: Sacha Beniamine (University of Surrey) Micha Elsner (The Ohio State University) Katharina Kann (University of Colorado, Boulder) References [1] Ryan Cotterell, Christo Kirov, John Sylak-Glassman, David Yarowsky, Jason Eisner, and Mans Hulden. 2016a. The SIGMORPHON 2016 shared Task— Morphological reinflection. In Proceedings of the 14th SIGMORPHON Workshop on Computational Research in Phonetics, Phonology, and Morphology, pages 10–22, Berlin, Germany. Association for Computational Linguistics. [2] Huiming Jin, Liwei Cai, Yihui Peng, Chen Xia, Arya McCarthy, and Katharina Kann. 2020. Unsupervised morphological paradigm completion. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 6696– 6707, Online. Association for Computational Linguistics. [3] Neil Rathi, Michael Hahn, and Richard Futrell. 2021. An Information-Theoretic Characterization of Morphological Fusion. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 10115–10120, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics. [4] Parker, J., Reynolds, R., & Sims, A. (2022). Network Structure and Inflection Class Predictability: Modeling the Emergence of Marginal Detraction. In A. Sims, A. Ussishkin, J. Parker, & S. Wray (Eds.), Morphological Diversity and Linguistic Cognition (pp. 247-281). Cambridge: Cambridge University Press. DOI: 10.1017/9781108807951.010 [5] Guzmán Naranjo, Matías and Becker, Laura. Statistical bias control in typology. Linguistic Typology, to appear, 2021. DOI: 10.1515/lingty-2021-0002 [6] Sacha Beniamine. 2021. One lexeme, many classes: Inflection class systems as lattices. In Berthold Crysmann & Manfred Sailer (eds.), One-to-many relations in morphology, syntax, and semantics, 23--51. Berlin: Language Science Press. DOI: 10.5281/zenodo.4729789

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Senior Research Associate at the Alan Turing Institute, Foundation Models and Commonsense Reasoning
by Eric Atwell 15 Feb '23

15 Feb '23

Senior Research Associate at the Alan Turing Institute, Foundation Models and Commonsense Reasoning Position In 2022, the Alan Turing Institute signalled its intention to establish a portfolio of foundational AI research, which would complement the strengths of the institute around applications of AI and AI policy. An initial portfolio of research in foundation models, game theory, and probabilistic programming will be launched in early 2023. Each of these areas is called a ‘Pillar’. It is intended that this portfolio will complement the UK’s current activity, rather than duplicating existing efforts, and aiming to promote emerging new areas that show promise for the future. FOUNDATION MODELS Foundation models are large ML models trained on large, broad data sets. Foundation models such as GPT-3 have been shown to have remarkable capabilities for generating realistic natural language, and, to some extent, capabilities for problem solving and common-sense reasoning. Developing a Turing Foundation Model is beyond our present capacity. Instead we therefore propose work aimed at developing Turing expertise around the problem of precisely understanding the capabilities of such models. The main issue we aim to address is that of *benchmarking* such models: although such models appear to be very capable in some respects, they fail on apparently simple tasks, in unpredictable ways. In short, we don't have a clear understanding of the capabilities and shortcomings of such systems - which raises concerns for their use. ROLE PURPOSE We are looking for a Senior Research Associate to support and enable the delivery of the Foundation Model theme, under the direction of Anthony (Tony) Cohn, and in collaboration with Michael Wooldridge and Nigel Shadbolt. The successful candidate will primarily focus on evaluating the extent to which, and the conditions under which existing Foundational Models can support common-sense reasoning (such as naive physics, spatial and temporal reasoning, the concept of agency, and causality). This work will be taken in parallel and in collaboration with researchers working on other aspects of the Foundation Models Pillar. The candidate will join a vibrant team of researchers and will have opportunities to engage with cutting-edge projects and experts at leading universities. The post can be based either at The Alan Turing Institute site in London, or at the University of Leeds. In either case you will need to travel to the other site when required (travel expenses will be paid as appropriate). Further details and the online application form can be found here: https://cezanneondemand.intervieweb.it/turing/jobs/senior-research-associat…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcezanneon…>

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[CfP] 2nd CfP: Workshops and Tutorials Proposals || SEMANTiCS 2023 EU || Sep 20 - 22, 2023 || Leipzig, Germany
by Anisa Rula & Jennifer D'Souza 15 Feb '23

15 Feb '23

==== SEMANTiCS - 19th International Conference on Semantic Systems Leipzig, Germany Workshops and Tutorials September 20 - 22, 2023 https://2023-eu.semantics.cc/page/cfp_ws ==== SEMANTiCS 2023 is a major venue for research and industrial innovation and features a workshop and tutorial program addressing the diverse practical interests of its audience. This program is intended to offer a rich diversity of topics to conference attendees and local participants seeking to pick up new skills and stay up-to-date regarding the latest developments in the community. We encourage submissions of proposals on all topics in the general areas of SEMANTiCS 2023 and proposals bridging or introducing new perspectives in these areas. Workshops and tutorials may incorporate panel discussions, lightning talks, meetings, networking or hands-on sessions, hackathons and other practical formats where applicable. Rooms for business or project meetings are available upon request as well. =Important Dates for Workshops= * Proposals WS Deadline: March 07, 2023 (11:59 pm, Hawaii time) * Notification of Acceptance: March 14, 2023 (11:59 pm, Hawaii time) =Important Dates for Tutorials (and other meetings, e.g. seminars, show-cases, etc., without call for papers)= * Proposals Tutorial Deadline: June 06, 2023 (11:59 pm, Hawaii time) * Notification of Acceptance: June 20, 2023 (11:59 pm, Hawaii time) Submission via Easychair on https://easychair.org/conferences/?conf=sem23 =Scope & Goals= Workshops and tutorials at SEMANTiCS 2023 allow your organisation or project to advance and promote your topics and gain increased visibility. The workshops and tutorials will be announced on the SEMANTiCS website and they will be seen by all participants. SEMANTiCS 2023 workshops and tutorials can be incubators for industrial and scientific communities that form and share a particular research and development agenda. They provide a forum for presenting contributions and findings to a diverse and knowledgeable community. Furthermore, the event can be used as a dissemination activity in the scope of large research projects or as a closed format for research/commercial project consortia meetings. =Setup and Requirements= SEMANTiCS 2023 workshops and tutorials may be either half or full day long. Workshops and tutorials take place on the days before and/or after the main SEMANTiCS 2023 EU conference (20th, 21st, and/or 22nd of September 2023). Details will be communicated on time. Organizers of workshops and tutorials will be granted three free tickets (only for the workshop & tutorial day) for organization purposes or keynotes. Participants of workshops and tutorials will be charged a marginal fee to cover the basic costs. Workshop and tutorials proposals must include the following information: * outline of the themes and goals of the event, including a title and a brief abstract (less than 200 words) intended for the SEMANTiCS 2023 website * a statement addressing why the event is important, why the event is timely, how it is relevant to SEMANTiCS 2023 and the field of semantic web. For the tutorials, why the presenters are qualified for a high-quality introduction of the topic * related workshops and conferences, i.e., specifying if this is a continuation of a workshop series or is a new workshop to address an emerging issue. Please provide information about past versions of this workshop and other related workshops (including URLs and submission/acceptance counts, if available). * a statement addressing the quality assurance criterion that will be used by the event organizers to select the papers for the workshops and the presenters for the tutorials (e.g., peer review or review/evaluation by event organizers). If a peer review process is chosen as a quality assurance criterion for the workshops, the organizers will be responsible for their own reviewing process. Workshop organizers will be responsible also for their own publicity (e.g., website, timelines and call for papers) and proceedings production. * structure of the event and plans for generating and stimulating discussion; how will the interaction be organized in case of a hybrid event * desired minimum and maximum number of event participants, expected number of participants, and (in case of previously held events) number of registered attendees and web site for previous editions of the event * a description of the intended audience and the expected learning outcomes * desired prerequisite knowledge of the audience * proposed duration of the event (i.e., half or full day), different sessions if applicable (final time slot will be assigned in accordance with the SEMANTiCS program) * any equipment, room capacity, or other logistic constraints * full contact information of all organizers of the event and main contact person; a brief description of each organizer's background, including relevant past experience in organizing events Proposals for workshop and tutorial proposals must be submitted via Easychair: https://easychair.org/my/conference?conf=sem23 =Review and Evaluation Criteria= Workshop and tutorial proposals will be reviewed by the SEMANTiCS 2023 Workshop Chairs, as well as by the SEMANTiCS 2023 organizing committee, according to the following criteria: * The potential to advance the state of semantic web research and practice * The quality assurance criterion proposed by the organizers to select high-quality papers for workshops and presenters for tutorials * The organizers' experience and ability to lead a successful event * Timeliness and expected interest in the event topics * The balance and synergy between all SEMANTiCS 2023 events =Topics of interest include (but are not limited to)= * Web Semantics & Linked (Open) Data * Enterprise Knowledge Graphs, Graph Data Management and Deep Semantics * Machine Learning & Deep Learning Techniques * Semantic Information Management & Knowledge Integration * Terminology, Thesaurus & Ontology Management * Data Mining and Knowledge Discovery * Reasoning, Rules and Policies * Natural Language Processing and Computational Linguistics * Social and Human aspects of Semantic Web * Data Quality Management and Assurance * Explainable Artificial Intelligence * Semantics in Data Science * Semantics of Blockchain & Distributed Ledger Technologies * Trust, Data Privacy, and Security with Semantic Technologies * Economics of Data, Data Services and Data Ecosystems * Applications of Semantic Web technologies in domains such as law, medicine, life sciences, digital humanities, mobility and smart cities, etc. We especially invite contributions that illustrate the applicability of the topics mentioned above for industrial purposes and/or illustrate the business relevance of their contribution for specific industries. Workshop proposals on emerging themes for the topics listed above are encouraged. In case you have additional questions concerning the submission process, please do not hesitate to contact us via Easychair. We are looking forward to your contribution! Jennifer D’Souza - jennifer.dsouza(a)tib.eu Anisa Rula - anisa.rula(a)unibs.it Workshop & Tutorial Chairs

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Fwd: Deadline extension: 19th Workshop on Multiword Expressions (MWE 2023)
by Aaron Poet 15 Feb '23

15 Feb '23

FYI. ---------- Forwarded message --------- From: 'Archna Bhatia' via MWE Workshop 2023 Organizers < mweworkshop2023(a)googlegroups.com> Date: Wed, Feb 8, 2023 at 8:09 PM Subject: Fwd: [Corpora-List] Deadline extension: 19th Workshop on Multiword Expressions (MWE 2023) To: MWE Workshop 2023 Organizers <mweworkshop2023(a)googlegroups.com> I have no idea why my emails seem like they need to be moderated recently (I must have sent something inappropriate, just kidding!), but even to my response below I received a notification that it is awaiting moderation and that either this would post or I would hear back of the moderator’s decision. From the past two CFPs (small sample), my experience is that posts awaiting moderation do not get posted nor do I hear of the moderator’s decision. So could someone else forward my response? thanks, Archna Begin forwarded message: *From: *Archna Bhatia <abhatia(a)ihmc.org> *Subject: **Re: [Corpora-List] Deadline extension: 19th Workshop on Multiword Expressions (MWE 2023)* *Date: *February 8, 2023 at 2:59:35 PM EST *To: *Ada Wan <adawan919(a)gmail.com> *Cc: *Ken Litkowski <ken(a)clres.com>, corpora(a)list.elra.info Hi Ada, While appropriate space is found for this discussion, let me respond to just your first suggestion (for now): Why do you think they should be renamed “fixed/idiomatic expressions”? What would your definition of “fixed” and of “idiomatic” mean? How fixed would you say these expressions would be? Is morphological variation allowed? Is variation in any of the other linguistic aspects allowed? From my point of view, “fixed/idiomatic expressions” results in a much restricted category than what all we consider could be treated as multiwords. Thanks, Archna On Feb 8, 2023, at 2:38 PM, Ada Wan via Corpora <corpora(a)list.elra.info> wrote: Hi Ken Thanks for the message. Unfortunately, it looks like there has been no prior discussions on any of the topics I suggested, and the earliest post I can access dates back only to 22Nov2020. I can surely start a discussion, but that might look to be the first/only discussion on the list? (I went through all the conversations accessible thus far and only saw announcements.) Perhaps more importantly: as this seems to be an issue that could also affect other areas of concern to the general audience of the Corpora-List (*not just for MWEs/SIGLEX*), is there a way that we all can make some changes in the "language space" across the board? Thanks and best Ada On Wed, Feb 8, 2023 at 5:57 PM Ken Litkowski <ken(a)clres.com> wrote: > Dear Ada, > > When I added the SIGLEX discussion code back in 2010, I did so with the > idea that we would have discussion of just like the topic of yours. The > morph of the discussion now is located on the Google group, via > https://groups.google.com/g/siglex-members > <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgroups.go…>. > There, you will find a place "Search conversations ..." where you can add > your topic so that all will be sent. Rather than just the announcements > that are the mainly topics. > > Ken (webmaster retiree) > On 2/8/2023 10:18 AM, Ada Wan via Corpora wrote: > > Hi Kilian > > Hope all has been well. > > I'm surprised that people are still "wording around" nowadays. Some > suggestions: > > 1. Can't we rename "MWEs" to "fixed/idiomatic expressions" instead? One > can reformulate these as sequences/strings/expressions of various > lengths/vocabs in characters. > 2. Also, one can interpret these without information/association with any > syntactic categories, nouns or verbs etc.. > 3. They do just represent lexical info (some reflecting/encoding > historico-social habits, though one also should be aware of the ethical > aspects of reinforcing some "traditional values"). Perhaps a more > sophisticated view of language could help wean practitioners from a > mindframe that relies of "linguistic structure(s)" as we've had it thus far > (i.e. based on "words" and "sentences")? > 4. Re " their meaning often does not result from the direct combination of > the meanings of their parts": non-compositionality may be a better > description of a more realistic view of language, it should prob be our > default expectation (instead of the cherry-picked compositional > counterparts). > > I think efforts towards mitigating a mental dependency on "words" would be > a good direction to pursue, what do you think? > Can we get SIGLEX to update in this regard? > > Best > Ada > > > On Wed, Feb 8, 2023 at 11:12 AM Kilian Evang via Corpora < > corpora(a)list.elra.info> wrote: > >> [Apologies for cross-postings] >> >> >> ******************************************************************************** >> >> Call for Papers: Deadline extended >> >> 19th Workshop on Multiword Expressions (MWE 2023) >> >> Organized and sponsored by SIGLEX, the Special Interest Group >> on the Lexicon of the ACL >> >> Full-day workshop collocated with EACL 2023, Dubrovnik, Croatia, May 5 >> or 6, 2023 >> >> Hybrid (on-site & on-line) >> >> NEW: Submission deadline: February 20, 2023 >> >> NEW: Invited speakers announced (see below) >> >> NEW: Best paper award (see below) >> >> MWE 2023 website: https://multiword.org/mwe2023/ >> <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmultiword…> >> >> >> ******************************************************************************** >> >> Multiword expressions (MWEs) are word combinations that exhibit >> lexical, syntactic, semantic, pragmatic, and/or statistical >> idiosyncrasies (Baldwin & Kim 2010), such as by and large, hot dog, >> pay a visit and pull one's leg. The notion encompasses closely related >> phenomena: idioms, compounds, light-verb constructions, phrasal verbs, >> rhetorical figures, collocations, institutionalised phrases, etc. >> Their behaviour is often unpredictable; for example, their meaning >> often does not result from the direct combination of the meanings of >> their parts. Given their irregular nature, MWEs often pose complex >> problems in linguistic modelling (e.g. annotation), NLP tasks (e.g. >> parsing), and end-user applications (e.g. natural language >> understanding and MT), hence still representing an open issue for >> computational linguistics (Constant et al. 2017). >> >> For almost two decades, modelling and processing MWEs for NLP has been >> the topic of the MWE workshop organised by the MWE section of SIGLEX >> in conjunction with major NLP conferences since 2003. Impressive >> progress has been made in the field, but our understanding of MWEs >> still requires much research considering their need and usefulness in >> NLP applications. This is also relevant to domain-specific NLP >> pipelines that need to tackle terminologies most often realised as >> MWEs. Following previous years, for this 19th edition of the workshop, >> we identified the following topics on which contributions are >> particularly encouraged: >> >> MWE processing and identification in specialized languages and >> domains: Multiword terminology extraction from domain-specific corpora >> (Bonin et al. 2010) is of particular importance to various >> applications, such as MT (Semmar & Laib, 2017), or for the >> identification and monitoring of neologisms and technical jargon >> (Chatzitheodorou et al, 2021). We expect approaches that deal with >> the processing of MWEs as well as the processing of terminology in >> specialised domains can benefit from each other. >> >> MWE processing to enhance end-user applications: MWEs have gained >> particular attention in end-user applications, including MT (Zaninello >> & Birch 2020; Han et al. 2021, 2022), simplification (Kochmar et al. >> 2020), language learning and assessment (Paquot et al. 2019; >> Christiansen & Arnon 2017), social media mining (Maisto et al. 2017), >> and abusive language detection (Zampieri et al. 2020; Caselli et al. >> 2020). We believe that it is crucial to extend and deepen these first >> attempts to integrate and evaluate MWE technology in these and further >> end-user applications. >> >> MWE identification and interpretation in pre-trained language models: >> Most current MWE processing is limited to their identification and >> detection using pre-trained language models, but we still lack >> understanding about how MWEs are represented and dealt with therein >> (Nedumpozhimana & Kelleher 2021; Garcia et al. 2021, Fakharian & Cook >> 2021), how to better model the compositionality of MWEs from semantics >> (Moreau et al. 2018). Now that NLP has shifted towards end-to-end >> neural models like BERT, capable of solving complex tasks with little >> or no intermediary linguistic symbols, questions arise about the >> extent to which MWEs should be implicitly or explicitly modelled >> (Shwartz & Dagan, 2019). >> >> MWE processing in low-resource languages: The PARSEME shared tasks >> (Ramisch et al. 2020; 2018; Savary et al. 2017), among others, have >> fostered significant progress in MWE identification, providing >> datasets that include low-resource languages, evaluation measures, and >> tools that now allow fully integrating MWE identification into >> end-user applications. A few efforts have recently explored methods >> for the automatic interpretation of MWEs (Bhatia, et al. 2018; 2017), >> and their processing in low-resource languages (Liu & Wang 2020; Kumar >> et al. 2017). Resource creation and sharing should be pursued in >> parallel with the development of methods able to capitalize on small >> datasets (Han et al. 2020). >> >> Through this workshop, we would like to bring together and encourage >> researchers in various NLP subfields to submit MWE-related research, >> so that approaches that deal with processing of MWEs including >> processing for low-resource languages and for various applications can >> benefit from each other. We also intend to consolidate the converging >> effects of previous joint workshops LAW-MWE-CxG 2018, MWE-WN 2019 and >> MWE-LEX 2020, the joint MWE-WOAH panel in 2021, and the MWE-SIGUL 2022 >> joint session, extending our scope to MWEs in e-lexicons and WordNets, >> MWE annotation, as well as grammatical constructions. Correspondingly, >> we call for papers on research related (but not limited) to MWEs and >> constructions in: >> >> Computationally-applicable theoretical work in psycholinguistics and >> corpus linguistics; >> >> Annotation (expert, crowdsourcing, automatic) and representation in >> resources such as corpora, treebanks, e-lexicons, and WordNets (also >> for low-resource languages); >> >> Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, >> LFG, TAG, UD, etc.); >> >> Discovery and identification methods, including for specialized >> languages and domains such as clinical or biomedical NLP; >> >> Interpretation of MWEs and understanding of text containing them; >> >> Language acquisition, language learning, and non-standard language >> (e.g. tweets, speech); >> >> Evaluation of annotation and processing techniques; >> >> Retrospective comparative analyses from the PARSEME shared tasks; >> >> Processing for end-user applications (e.g. MT, NLU, summarisation, >> language learning, etc.); >> >> Implicit and explicit representation in pre-trained language models >> and end-user applications; >> >> Evaluation and probing of pre-trained language models; >> >> Resources and tools (e.g. lexicons, identifiers) and their integration >> into end-user applications; >> >> Multiword terminology extraction; >> >> Adaptation and transfer of annotations and related resources to new >> languages and domains including low-resource ones. >> >> >> Shared Task >> >> We do not have a shared task this year, but a new release of the >> PARSEME corpus of verbal MWEs is currently underway. We encourage >> submission of research papers that include analyses of the new edition >> of the PARSEME data and improvements over the results for PARSEME 2020 >> shared task as well as SemEval 2022 task 2 on idiomaticity prediction. >> >> >> *** Special Track on MWEs in Clinical NLP *** >> >> Pursuing the MWE Section’s tradition of synergies with other >> communities, this year, we are organizing a joint session with the >> Clinical NLP workshop for shared papers/poster presentations. Since >> clinical texts contain an important amount of multiword expressions >> (e.g. medical terms or domain-specific collocations), a joint session >> is deemed beneficial for both communities. The goal is to foster >> future synergies that could address scientific challenges in the >> creation of resources, models and applications to deal with multiword >> expressions and related phenomena in the specialised domain of >> ClinicalNLP. Submissions describing research on MWEs in the >> specialized domain of ClinicalNLP, especially introducing new datasets >> or new tools and resources, are welcome. Papers accepted in this track >> will have the option to present their work in the Clinical NLP >> workshop at ACL 2023 as well, after being presented at MWE 2023. >> >> >> Invited Speakers >> >> We are looking forward to invited talks by two amazing speakers: >> >> Leo Wanner, Universitat Pompeu Fabra >> >> TBD >> >> >> Best paper award >> >> All full papers in the workshop will be considered by the program >> committee for a best paper award. The decision will be announced in >> the closing session. >> >> >> Submission formats >> >> The workshop invites two types of submissions: >> >> archival submissions that present substantially original research in >> both long paper format (8 pages + references) and short paper format >> (4 pages + references). >> >> non-archival submissions of abstracts describing relevant research >> presented/published elsewhere which will not be included in the MWE >> proceedings. >> >> >> Paper submission and templates >> >> Papers should be submitted via the workshop's START submission page >> (https://softconf.com/eacl2023/mwe2023/ >> <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsoftconf.…>). >> Please choose the >> appropriate submission format (archival/non-archival). Archival papers >> with existing reviews will also be accepted through the ACL Rolling >> Review. Submissions must follow the ACL 2023 stylesheet. >> >> >> Archival papers with existing reviews from ACL Rolling Review will >> also be considered. A paper may not be simultaneously under review >> through ARR and MWE. A paper that has or will receive reviews through >> ARR may not be submitted for review to MWE. >> >> >> Important Dates >> >> Paper submission: February 20, 2023 >> >> ARR paper commitment: March 6, 2023 >> >> Notification of acceptance: March 13, 2023 >> >> Camera-ready papers due: March 27, 2023 >> >> Workshop: May 5 or 6, 2023 >> >> >> All deadlines are at 23:59 UTC-12 (Anywhere on Earth). >> >> >> Organizing Committee >> >> Program chairs: Marcos Garcia, Voula Giouli, Lifeng Han, Shiva Taslimipoor >> >> Publication chair: Archna Bhatia >> >> Publicity chair: Kilian Evang >> >> >> Anti-harassment policy >> >> The workshop follows the ACL anti-harassment policy. >> >> >> Contact >> >> For any inquiries regarding the workshop, please send an email to the >> Organizing Committee at mweworkshop2023(a)googlegroups.com. >> _______________________________________________ >> Corpora mailing list -- corpora(a)list.elra.info >> https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ >> <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Flist.elra…> >> To unsubscribe send an email to corpora-leave(a)list.elra.info >> > > _______________________________________________ > Corpora mailing list -- corpora@list.elra.infohttps://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ <https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Flist.elra…> > To unsubscribe send an email to corpora-leave(a)list.elra.info > > -- > Ken Litkowski TEL.: 301-482-0237 > CL Research EMAIL: ken(a)clres.com > 9208 Gue Road Home Page: http://www.clres.com <https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.clres.…> > Damascus, MD 20872-1025 USA Blog: http://www.clres.com/blog <https://nam02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.clres.…> > > _______________________________________________ Corpora mailing list -- corpora(a)list.elra.info https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave(a)list.elra.info -- Archna Bhatia, Ph.D. Research Scientist, Institute for Human & Machine Cognition 15 SE Osceola Ave, Ocala, FL 34471 (352) 387-3061 -- You received this message because you are subscribed to the Google Groups "MWE Workshop 2023 Organizers" group. To unsubscribe from this group and stop receiving emails from it, send an email to mweworkshop2023+unsubscribe(a)googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/mweworkshop2023/A86DBC58-1695-45C4-AC5D-9… <https://groups.google.com/d/msgid/mweworkshop2023/A86DBC58-1695-45C4-AC5D-9…> . For more options, visit https://groups.google.com/d/optout. -- *News*: *CFPs and participants*: HealTAC23 <http://healtex.org/healtac-conference-series/> (Manchester June 14-16) | MWE23 <https://multiword.org/mwe2023/>@EACL (joint w ClinicalNLP@ACL) *our work:* ClinicalMT <https://scholar.google.com/citations?view_op=view_citation&hl=en&user=_vf3E…>@WMT22_w_EMNLP | Meta-eval Tutorial <https://scholar.google.com/scholar?oi=bibs&hl=en&cluster=5418617987092956707> / HumanEval <https://aclanthology.org/2022.lrec-1.2.pdf> (paper_w_tool) / TranslationUncertainty <https://aclanthology.org/2022.lrec-1.2.pdf> (paper) @LREC22 | ClinicalTextMinging <https://github.com/poethan/TransformerCRF> (ML-Tools) @HealTAC2022 *|* Covid-Topic-Modeling <https://arxiv.org/abs/2301.03029> ( *arXiv-2023*) Serving as ACL2023 <https://2023.aclweb.org> AC (area chair): resource and evaluation | MWE-SIGLEX <https://multiword.org> elected Standing Committee Board member (2022-2024) | Ph.D. in Computer Application (Machine Translation, thesis <https://doras.dcu.ie/26559/>), M.Sc. (Software Engineering, thesis <https://arxiv.org/abs/1703.08748> *excellent-award*), B.Sc. (Math, *GPA 80/100*) Google-Scholar <https://scholar.google.nl/citations?user=_vf3E2QAAAAJ&hl=en> , Presentation <https://www.slideshare.net/AaronHanLiFeng>(ppt), Research-Gate <https://www.researchgate.net/profile/Aaron_L-F_Han> Google-site <https://sites.google.com/view/poetgarden/home> Linkedin <https://www.linkedin.com/in/aaronhan/>, Writer <https://books.apple.com/us/author/lifeng-han/id1602229739>(poetry) Postdoctoral <https://www.research.manchester.ac.uk/portal/lifeng.han.html> Research Associate at HECTA <https://www.research.manchester.ac.uk/portal/en/researchers/goran-nenadic(4…> group, The University of Manchester, UK https://www.research.manchester.ac.uk/portal/lifeng.han.html Former: ADAPT Research Centre & DCU, Ireland

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[HOPE@IberLEF2023] Call for participation IberLEF 2023 Task - HOPE: Multilingual Hope Speech detection
by Salud María Jiménez Zafra 15 Feb '23

15 Feb '23

CALL FOR PARTICIPATION IberLEF 2023 Task - HOPE: Multilingual Hope Speech detection Held as part of the evaluation forum IberLEF 2023 <https://sites.google.com/view/iberlef-2023> in the XXXIX edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023 <http://sepln2023.sepln.org/en/home/>) September 26, 2023. Jaén, Andalusia, Spain Codalab link: https://codalab.lisn.upsaclay.fr/competitions/10215 Dear All, We are inviting researchers and students to participate in the shared-task HOPE: Multilingual Hope Speech detection, held as part of IberLEF 2023, the shared evaluation campaign for Natural Language Processing systems in Spanish and other Iberian languages, collocated with SEPLN 2023 Conference. The HOPE shared task is related to the inclusion of vulnerable groups and focuses on the study of the detection of hope speech, in pursuit of equality, diversity and inclusion. This task was previously organized at the second workshop on Language Technology for Equality, Diversity and Inclusion (LT-EDI-2022), as a part of ACL 2022, but for five languages: Tamil, Malayalam, Kannada, English and Spanish. The novelties of this shared task are: i) it is organized in two languages, Spanish and English; and ii) it provides an expanded and improved dataset. It consists of two subtasks: - Subtask 1: Hope Speech detection in Spanish. Given a Spanish tweet, identifying whether it contains hope speech or not. The possible categories for each text are: - HS: Hope Speech. - NHS: Non Hope Speech. - Subtask 2: Hope Speech detection in English. Given an English Youtube comment, identifying whether it contains hope speech or not. The possible categories for each text are: - HS: Hope Speech. - NHS: Non Hope Speech. In both subtasks there will be a real time leaderboard and the participants will be allowed to make a maximum of 10 submissions through CodaLab, from which each team will have to select the best one for ranking. The dataset for this task comprises two corpus, one in Spanish and another in English. The Spanish corpus was collected between 2021 and 2022. It is an extension of the SpanishHopeEDI dataset (García-Baena et al., 2023) to be published in the journal Language Resources and Evaluation, which was used in the ACL LT-EDI-2022 Spanish task (Chakravarthi et al., 2022). It consists of a set of LGBT-related tweets annotated as HS (Hope Speech) or NHS (Non Hope Speech). A tweet is considered as HS if the text: i) explicitly supports the social integration of minorities; ii) is a positive inspiration for the LGTBI community; iii) explicitly encourages LGTBI people who might find themselves in a situation; or iv) unconditionally promotes tolerance. On the contrary, a tweet is marked as NHS if the text: i) expresses negative sentiment towards the LGTBI community; ii) explicitly seeks violence; or iii) uses gender-based insults. The English corpus is an extension of the English part of the HopeEDI dataset (Chakravarthi, 2020). It consists of comments posted on YouTube videos on a wide range of socially relevant topics such as Equality, Diversity and Inclusion, including LGBTIQ issues, COVID-19, women in STEM, Black Lives Matter, etc. To download the data and participate, go to: https://codalab.lisn.upsaclay.fr/competitions/10215. Best regards, The HOPE 2023 organizing committee References - García-Baena, D., García-Cumbreras, M.A., Jiménez-Zafra, S.M., García-Díaz, J.A., Valencia-García, R. (2023). Hope Speech Detection in Spanish. The LGBT case. Language Resources and Evaluation. To be published. - Chakravarthi BR (2020) HopeEDI: A multilingual hope speech detection dataset for equality, diversity, and inclusion. In: Proceedings of the Third Workshop on Computational Modeling of People’s Opinions, Personality, and Emotion’s in Social Media, Association for Computational Linguistics, Barcelona, Spain (Online), pp 41–53, URL https://aclanthology.org/2020.peoples-1.5 - Chakravarthi, B. R., Muralidaran, V., Priyadharshini, R., Cn, S., McCrae, J. P., García-Cumbreras, M. Á., Jiménez-Zafra, S. M., Valencia-García, R., Kumar Kumaresan, P., Ponnusamy, R., García-Baena, D. & García-Díaz, J. (2022, May). Overview of the Shared Task on Hope Speech Detection for Equality, Diversity, and Inclusion. In Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion (pp. 378-388). https://aclanthology.org/2022.ltedi-1.58 Important dates - Release of training + development corpora: Feb 13, 2023. - Release of test corpora and start of evaluation campaign: Mar 13, 2023 - End of evaluation campaign (deadline for runs submission): Mar 28, 2023. - Publication of official results: Mar 30, 2023. - Paper submission: Abr 25, 2023. - Review notification: May 23, 2023. - Camera ready submission: Jun 9, 2023. - IberLEF Workshop (SEPLN 2023): Sep 26, 2023 (Jaén, Andalusia, Spain) - Publication of proceedings: Sep ??, 2023 Organizing committee - Miguel Ángel García Cumbreras (SINAI, Universidad de Jaén) - Daniel García-Baena (SINAI, Universidad de Jaén) - Bharathi Raja Chakravarthi (University of Galway) - Salud María Jiménez-Zafra (SINAI, Universidad de Jaén) - José Antonio García-Díaz (UMUTeam, Universidad de Murcia) - Rafael Valencia-García (UMUteam, Universidad de Murcia) - L. Alfonso Ureña-López (SINAI, Universidad de Jaén) [image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez Zafra* sjzafra(a)ujaen.es Universidad de Jaén Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de Informática EPS Jaén, Edificio A3, Despacho 219 Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992 [image: Universidad de Jaén] <http://www.uja.es/>

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Call for Participation: HODI@EVALITA 2023 - Homotransphobia Detection in Italian
by Tommaso Caselli 15 Feb '23

15 Feb '23

[Apologies for cross-posting] ************************* Call for Participation ************************* Task: *Homotransphobia Detection in Italian (HODI)* at EVALITA 2023 <https://www.evalita.it/campaigns/evalita-2023/> Info: https://hodi-evalita.github.io/ Final Workshop: 7th - 8th September 2023, Parma, Italy *Registration is required to obtain data and participate in the shared task.* To register, follow the instruction here https://hodi-evalita.github.io/how_to_participate/ ----------------------------------------------------- 🌈 The HODI Shared Task 🌈 ----------------------------------------------------- We invite participants to participate in the first shared task of homotransphobia detection in Italian (HODI). Despite the NLP community’s interest in hate speech detection datasets and models, very few studies covered homotransphobia. This is a concern, due to the target-oriented nature of hate speech: recent studies have revealed that hate speech detection methods cannot be used to multiple sorts of hate speech targets. HODI is organized according to two main subtasks: ** Subtask A - Homotransphobia detection:** the objective is to detect if a text is homotransphobic or not. ** Subtask B - Explainability:** the objective is to extract the rationales of the classification models trained for Subtask A. Further details on the task, data, and evaluation are available at the task website: <https://di.unito.it/sardistance2020> https://hodi-evalita.github.io/ ----------------------- Important Dates ----------------------- - 7 Feb 2023: Training data available (training period starts) - 2 May 2023 Test data available - 9 May 2023 Systems results due to organizers - 30 May 2023 Results notification to participants - 14 Jun 2023 Technical report due to organizers - 10 Jul 2023 Reviews to participants (peer-reviews) - 25 Jul 2023 Camera ready due to organizers - 7 - 8 Sep 2023 EVALITA Workshop ---------------- Organizers ---------------- Debora Nozza, Bocconi University Greta Damo, Bocconi University Alessandra Teresa Cignarella, University of Turin Tommaso Caselli, University of Groningen Viviana Patti, University of Turin -- Tommaso Caselli, Ph.D. Senior Assistant Professor in Computational Semantics Faculty of Arts, Rijksuniversiteit Groningen The Netherlands ---------------------------- https://xs4all.academia.edu/TommasoCaselli https://www.researchgate.net/profile/Tommaso_Caselli Twitter: @tommaso_caselli

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[ClinAIS@IberLEF2023] Call for participation IberLEF 2023 Task - ClinAIS: Automatic Identification of Sections in Clinical Documents
by aitziber.atucha＠ehu.eus 14 Feb '23

14 Feb '23

IberLEF 2023 Task ClinAIS: Automatic Identification of Sections in Clinical Documents Website: https://ixa2.si.ehu.eus/clinais/ ClinAIS: will be organized as part of IberLEF 2023, at the SEPLN 2023 Conference (Jaen, September 2023). The ClinAIS task presented at IberLEF 2023 aims to tackle the problem of automatic identification of sections in unstructured Spanish clinical documents. The task is focused on identifying 7 predefined medical sections: Present Illness, Derived from/to, Past Medical History, Family history, Exploration, Treatment and Evolution in ECNs, mainly progress notes. The successful resolution of this task will enable the improvement of higher level applications that can extract valuable, actionable information from clinical documents, such as medical entity recognition, patient cohort retrieval, and temporal relation extraction. This will ultimately improve patient care and clinical decision-making. IMPORTANT DATES - March 2023 Release of Train + Dev Sets and Evaluation Library - April 2023 Release of Test and Background Set - May 2023 Submission of Results. - May 2023 System Paper Submission Deadline. - June 2023 Notification to Authors. - June 2023 Camera Ready Submission Deadline. - September 2023 Publication of Proceedings. - September 2023 IberLEF within SEPLN 2023. ORGANIZERS IOMED María Vivó NLP Data Scientist Paula Chocrón NLP Engineer & Researcher Gabriel de Maeztu Co-founder & CTO at IOMED HiTZ Center Iker de la Iglesia Research Scientist Aitziber Atutxa Professor at UPV/EHU Koldo Gojenola Professor at UPV/EHU Esther Miranda Technical Staff Contact: ixa.iomed-clinais(a)ehu.es Registration: https://ixa2.si.ehu.eus/clinais/registration

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DEADLINE EXTENSION: Field Matters 2023 - The Second Workshop on NLP Applications to Field Linguistics
by fieldmattersworkshop＠gmail.com 14 Feb '23

14 Feb '23

Dear colleagues, Field Matters workshop 2023 extended the submission deadline. We accept papers until February 23. The Second Workshop on NLP Applications to Field Linguistics (Field Matters 2023) will take place at EACL 2023 (https://2023.eacl.org/) in Dubrovnik, Croatia on May 5 or 6 (online participants are also welcomed). We accept papers on the following topics: - Application of NLP to field linguistics workflow; - Transfer learning for under-resourced language processing; - The use of fieldwork data to build NLP systems; - Modeling morphology and syntax of typologically diverse languages in the low-resource setting; - Speech processing for under-resourced languages; - Computational analysis of field linguistics datasets; - Using technology for preserving culture via language; - Improving ways of interaction with Indigenous communities; - Machine-readable field linguistic datasets. You can find more information on the submission process and format requirements on our web-site https://field-matters.github.io/cfp2023 Subscribe to our Twitter page to follow the updates https://twitter.com/field_matters Best regards, Anna Postnikova Field Matters workshop organizing committee

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1-year research scholarship in English Linguistics (University of Verona) still open
by Valeria Franceschi 14 Feb '23

14 Feb '23

Applications are invited for a 1-year research scholarship in English Linguistics at the Department of Foreign Languages and Literatures, University of Verona, within the project “Interconnected Nord-Est Innovation Ecosystem (iNEST)”, financed by NextGenerationEU in the context of the National Recovery and Resilience Plan (NPRR). The project entails the compilation and analysis of a corpus of English-language texts promoting and describing prominent urban and extra-urban destinations in the Veneto region of Italy as well as the creation of a set of guidelines for tourism promotion. Experience in corpus linguistics, tourism discourse and discourse analysis, among others, are requested from applicants. The closing date for applications is March 6th. For more information about the research project, requirements and application process, you can find the complete call at this link: https://www.univr.it/en/job-vacancies/assegnisti-di-ricerca/assegni-di-rice… Best wishes, Valeria Franceschi ---------------------------------------- Valeria Franceschi Temporary Assistant Professor - English Language and Translation (L-LIN/12) Department of Foreign Languages and Literatures University of Verona

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[PoliticES@IberLEF2023] Call for participation IberLEF 2023 Task - PoliticEs: Political ideology detection in Spanish texts
by Salud María Jiménez Zafra 14 Feb '23

14 Feb '23

CALL FOR PARTICIPATION IberLEF 2023 Task - PoliticEs: Political ideology detection in Spanish texts Held as part of the evaluation forum IberLEF 2023 <https://sites.google.com/view/iberlef-2023> in the XXXIX edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2023 <http://sepln2023.sepln.org/en/home/>) September 26, 2023. Jaén, Andalusia, Spain Codalab link: https://codalab.lisn.upsaclay.fr/competitions/10173 Dear All, We are inviting researchers and students to participate in the shared-task PoliticEs 2023: Political ideology detection in Spanish texts, held as part of IberLEF 2023, the shared evaluation campaign for Natural Language Processing systems in Spanish and other Iberian languages, collocated with SEPLN 2023 Conference. The goal of this task is to extract political ideology information from Spanish texts. For this, an automatic document classification task on clusters of texts is proposed. It consists of extracting the self-assigned gender and profession as demographic traits, and the political ideology as a psychographic trait from a set of texts written in Spanish from several authors that share those traits. Political ideology is considered as a binary and as a multiclass problem. The PoliticES 2023 shared task is based on a previous task named PoliticES 2022 presented at IberLEF2022 (García-Díaz et. al. 2022b) where the dataset was an extension of the PoliCorpus 2020 dataset (García-Díaz et al., 2022a). The novelty of this year is that participants will work with clusters of texts written by different users, but with the same traits, instead of profiling users to prevent legal and ethical issues. The participants will be provided development, development_test, training and test datasets in Spanish from an extension of the PoliCorpus 2020 (García-Díaz et al., 2022) and the corpus used for the PoliticES 2022 shared task (García-Díaz et. al. 2022b). The dataset was collected between 2020 and 2022 from the Twitter accounts of politicians, political journalists and celebrities in Spain using the UMUCorpusClassifier (García-Díaz et al., 2020). We automatically created clusters of texts mixing some of these extracted tweets in order to prevent ethical and privacy issues about author profiling in Twitter. Each cluster is composed of 80 tweets written by different users that share all the traits under evaluation. We labeled each cluster with the self-assigned gender (male, female), profession (politician, celebrity, journalist) and political spectrum on two axes: binary (left, right) and multiclass (left, moderate_left, moderate_right, right). Moreover, the Twitter mentions of the politicians were anonymised by replacing them with the token @user. In addition, other Twitter accounts mentions were also encoded as @user. Other entities, such as political party references, are also replaced with the @political_party token. Consequently, the text traits cannot be guessed trivially by reading the user's name and searching information on them on the Internet. The dataset is composed of approximately 2800 different clusters. Finally, in order to facilitate participation in the competition, a notebook with two baselines will be provided. The first one will be based on BoW and the second one will be based on Transformers. To download the data, the notebook and participate, go to https://codalab.lisn.upsaclay.fr/competitions/10173. Best regards, The PoliticES 2023 organizing committee References - García-Díaz, J. A., Almela, Á., Alcaraz-Mármol, G., & Valencia-García, R. (2020). UMUCorpusClassifier: Compilation and evaluation of linguistic corpus for Natural Language Processing tasks. Procesamiento del Lenguaje Natural, 65, 139-142. - García-Díaz, J. A., Colomo-Palacios, R., & Valencia-García, R. (2022a). Psychographic traits identification based on political ideology: An author analysis study on Spanish politicians’ tweets posted in 2020. Future Generation Computer Systems, 130(1), 59-74. - García-Díaz, J. A., Jiménez Zafra, S. M., Martín Valdivia, M. T., García-Sánchez, F., Ureña López, L. A., & Valencia García, R. (2022b). Overview of PoliticEs 2022: Spanish Author Profiling for Political Ideology. Procesamiento del Lenguaje Natural, 69, 265-272. Important dates - Release of development corpora: Feb 13, 2023 - Release of training corpora: Mar 13, 2023 - Release of test corpora and start of evaluation campaign: Apr 17, 2023 - End of evaluation campaign (deadline for runs submission): May 3, 2023 - Publication of official results: May 5, 2023 - Paper submission: May 29, 2023 - Review notification: Jun 17, 2023 - Camera ready submission: Jun 27, 2023 - IberLEF Workshop (SEPLN 2023): Sep 26, 2023 (Jaén, Andalusia, Spain) - Publication of proceedings: Sep ??, 2023 Organizing committee - José Antonio García-Díaz (UMUTeam, Universidad de Murcia) - Salud María Jiménez-Zafra (SINAI, Universidad de Jaén) - María-Teresa Martín Valdivia (SINAI, Universidad de Jaén) - Francisco García-Sánchez (UMUTeam, Universidad de Murcia) - L. Alfonso Ureña-López (SINAI, Universidad de Jaén) - Rafael Valencia-García (UMUTeam, Universidad de Murcia) [image: Universidad de Jaén] <http://www.uja.es/> *Salud María Jiménez Zafra* sjzafra(a)ujaen.es Universidad de Jaén Grupo de Investigación SINAI <http://sinai.ujaen.es/> | Departamento de Informática EPS Jaén, Edificio A3, Despacho 219 Campus Las Lagunillas s/n 23071 - Jaén | +34 953212992 [image: Universidad de Jaén] <http://www.uja.es/>

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Call for Papers: 7th Workshop on Online Abuse and Harms (WOAH), July 13, 2023
by ychung＠turing.ac.uk 14 Feb '23

14 Feb '23

*** First Call for Papers *** *** The 7th Workshop on Online Abuse and Harms (WOAH) *** Website: https://www.workshopononlineabuse.com/ Important Dates -------- - Submission due: May 2, 2023 - ARR reviewed submission due: May 22, 2023 - Notification of acceptance: May 26, 2023 - Camera-ready papers due: June 2, 2023 - Workshop: July 13, 2023 All deadlines are 11:59 PM AoE time. Overview -------- The Workshop on Online Abuse and Harms (WOAH) invites paper submissions from a wide range of fields, including natural language processing, machine learning, computational social sciences, law, politics, psychology, sociology and cultural studies. We explicitly encourage interdisciplinary submissions, technical as well as non-technical submissions, and submissions that focus on under-resourced languages. We also invite non-archival submissions and civil society reports. The topics covered by WOAH include, but are not limited to: New models or methods for detecting abusive and harmful online content; Biases and limitations of existing detection models or datasets for abusive and harmful online content, particularly those in commercial use; New datasets and taxonomies for online abuse and harms; Dynamics of online abuse and harms, as well as their impact on different communities Social, legal, and ethical implications of detecting, monitoring and moderating online abuse In addition, we invite submissions related to the theme for this seventh edition of WOAH, which will be *subjectivity and disagreement in abusive language data*. Hate speech and other forms of abuse are highly subjective. By choosing this theme, we want to encourage submissions that analyse, address or make use of this subjectivity. To match the theme and complement thematic submissions, we have invited a strong lineup of relevant speakers. Submission Guidelines -------- Submission is electronic, using the Softconf START conference management system. Submission link: https://softconf.com/acl2023/WOAH/ The workshop will accept three types of papers. 1) Academic Papers (long and short): Long papers of up to 8 pages, excluding references, and short papers of up to 4 pages, excluding references. Unlimited pages for references and appendices. Accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted. 2) Non-Archival Submissions: Up to 2 pages, excluding references, to summarise and showcase in-progress work and work published elsewhere. 3) Civil Society Reports: Non-archival submissions, with a minimum of 2 pages and no upper limit. Can include work published elsewhere. All submissions must use the official ACL 2023 style files. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. All submissions should adhere to the workshop policies https://www.workshopononlineabuse.com/policies.html. All submissions, except for civil society reports, must be fully anonymised. Self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Following the ACL 2023 guidelines, we believe that it is also important to discuss the limitations of your work, in addition to its strengths. The “Limitations” 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. Multiple Submissions Policy -------- The workshop allows for multiple submissions. Papers that have been or will be presented at other venues may only be presented as non-archival. Papers that are presented at the main conference (ACL 2023) can be presented at the workshop as non-archival. Organizers -------- Yi-Ling Chung, The Alan Turing Institute Aida Mostafazadeh Davani, Google Debora Nozza, Bocconi University Paul Röttger, University of Oxford Zeerak Talat, Digital Democracies Institute, Simon Fraser University Please send any questions about the workshop to organizers(a)workshopononlineabuse.com

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[2nd call] PhD & postdoc positions on Explainable NLP at the University of Copenhagen
by Isabelle Augenstein 14 Feb '23

14 Feb '23

The Natural Language Processing Section at the Department of Computer Science, Faculty of Science at University of Copenhagen is offering a PhD scholarship in Explainable Natural Language Understanding, as well as a postdoc position in Human-Centered Explainable Fact Checking with a start date of 1 September 2023. The application deadline is 1 March 2023. Applications for the positions can be submitted here: https://jobportal.ku.dk/phd/?show=158207 (PhD position); https://jobportal.ku.dk/videnskabelige-stillinger/?show=158206 (postdoc position). The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. The section came into effect on 1 January 2021 as a spin-off from the Machine Learning section, to which it still maintains close ties. Further information about research at the Department is available here: https://di.ku.dk/english/research/. The successful candidate will join Isabelle Augenstein’s Natural Language Understanding research group (www.copenlu.com/<http://www.copenlu.com/>). The Natural Language Processing research environment at the University of Copenhagen is internationally leading, as e.g. evidenced by it being ranked 2nd in Europe according to CSRankings. The postions are offered in the context of an ERC Starting Grant held by Isabelle Augenstein on ‘Explainable and Robust Automatic Fact Checking (ExplainYourself)’. ERC Starting Grant is a highly competitive funding program by the European Research Council to support the most talented early-career scientists in Europe with funding for a period of 5 years for blue-skies research to build up or expand their research groups. More information about the project can also be found at: http://www.copenlu.com/talk/2022_11_erc/ Informal enquiries about the positions can be made to Professor Isabelle Augenstein, Department of Computer Science, University of Copenhagen, e-mail: augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk>. ——— Isabelle Augenstein, PhD, Dr. Scient. Full Professor Head of the NLP Section Department of Computer Science University of Copenhagen Universitetsparken 1, 2100 Copenhagen, Denmark http://isabelleaugenstein.github.io/

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2025

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Corpora February 2023