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First Call For Papers and Participation: BioNLP 2024 and Shared Tasks @ ACL 2024
by dina demner 09 Feb '24

09 Feb '24

BIONLP 2024 and Shared Tasks @ ACL 2024 https://aclweb.org/aclwiki/BioNLP_Workshop *Tentative* Important Dates (All submission deadlines are 11:59 p.m. UTC-12:00 “anywhere on Earth”) Paper submission deadline: May 17 (Friday), 2024 Notification of acceptance: June 17 (Monday), 2024 Camera-ready paper due: July 1 (Monday), 2024 Workshop: August 16, 2024, Location: LOTUS SUITE 12 Please watch for the updates! SUBMISSION INSTRUCTIONS ----------------------------------------- Two types of submissions are invited: full papers and short papers. Full papers should not exceed eight (8) pages of text, plus unlimited references. These are intended to be reports of original research. BioNLP aims to be the forum for interesting, innovative, and promising work involving biomedicine and language technology, whether or not yielding high performance at the moment. This by no means precludes our interest in and preference for mature results, strong performance, and thorough evaluation. Both types of research and combinations thereof are encouraged. Short papers may consist of up to four (4) pages of content, plus unlimited references. Appropriate short paper topics include preliminary results, application notes, descriptions of work in progress, etc. Electronic Submission Submissions must be electronic and in PDF format, using the Softconf START conference management system Submissions need to be anonymous. Submission site for the workshop https://softconf.com/acl2024/BioNLP2024 Please follow the ACL formatting guidelines: https://github.com/acl-org/acl-style-files Dual submission policy: papers may NOT be submitted to the BioNLP workshop if they are or will be concurrently submitted to another meeting or publication. INVITED TALK ----------------------------------------- Titipat Achakulvisut. Biomedical and Data (Bio-Data) lab at Mahidol University WORKSHOP OVERVIEW AND SCOPE ----------------------------------------- The BioNLP workshop, associated with the ACL SIGBIOMED special interest group, is an established primary venue for presenting research in language processing and language understanding for the biological and medical domains. The workshop has been running every year since 2002 and continues getting stronger. Many other emerging biomedical and clinical language processing workshops can afford to be more specialized because BioNLP truly encompasses the breadth of the domain and brings together researchers in bio- and clinical NLP from all over the world. BioNLP 2024 will be particularly interested in transparency of the generative approaches and factuality of the generated text. Language processing that supports DEIA (Diversity, Equity, Inclusion and Accessibility) is still of utmost importance. The work on detection and mitigation of bias and misinformation continues to be of interest. Research in languages other than English, particularly, under-represented languages, and health disparities are always of interest to BioNLP. Other active areas of research include, but are not limited to: Tangible results of biomedical language processing applications; Entity identification and normalization (linking) for a broad range of semantic categories; Extraction of complex relations and events; Discourse analysis; Anaphora \& coreference resolution; Text mining \& Literature based discovery; Summarization; Text simplification; Question Answering; Resources and strategies for system testing and evaluation; Infrastructures and pre-trained language models for biomedical NLP; Processing and annotation platforms; Synthetic data generation \& data augmentation; Translating NLP research into practice; Getting reproducible results. SHARED TASKS ----------------------------------------- 1. Clinical Text generation Task 1: Radiology Report Generation An important medical application of natural language generation (NLG) is to build assistive systems that take X-ray images of a patient and generate a textual report describing clinical observations in the images. This is a clinically important task, offering the potential to reduce radiologists’ repetitive work and generally improve clinical communication. This shared task is using the first large-scale collection of RRG datasets based on MIMIC-CXR, CheXpert, PadChest and CANDID-PTX. Participants will need to generate findings and impression from chest x-rays and will be evaluated on a common leaderboard with recent proposed metrics such as F1-Radgraph and RadCliQ. This shared task aims to benchmark recent progress using common data splits and evaluation implementations. See details at https://stanford-aimi.github.io/RRG24/ Task 2: Discharge Me! The primary objective of this task is to reduce the time and effort clinicians spend on writing detailed notes in the electronic health record (EHR). Clinicians play a crucial role in documenting patient progress in discharge summaries, but the creation of concise yet comprehensive hospital course summaries and discharge instructions often demands a significant amount of time, especially since these sections cannot be readily copied from prior notes. This can lead to clinician burnout and operational inefficiencies within hospital workflows. By streamlining the generation of these sections, we can not only enhance the accuracy and completeness of clinical documentation but also significantly reduce the time clinicians spend on administrative tasks, ultimately improving patient care quality. See details at https://stanford-aimi.github.io/discharge-me/ 2. BioLaySumm This shared task surrounds the abstractive summarization of biomedical articles, with an emphasis on catering to non-expert audiences through the generation of summaries that are more readable, containing more background information and less technical terminology (i.e., a “lay summary”). This is the 2nd iteration of BioLaySumm, following the success of the 1st edition of the task at BioNLP 2023 which attracted 56 submissions across 20 different teams. In this edition, we aim to build on last year’s task by introducing a new test set, updating our evaluation protocol, and encouraging participants to explore novel approaches that will help to further advance the state-of-the-art for Lay Summarization. See details at https://biolaysumm.org/ Organizers ----------------------------------------- * Dina Demner-Fushman, US National Library of Medicine * Sophia Ananiadou, National Centre for Text Mining and University of Manchester, UK * Makoto Miwa, Toyota Technological Institute, Japan * Kirk Roberts, UTHealth, Houston, Texas * Jun-ichi Tsujii, National Institute of Advanced Industrial Science and Technology, Japan

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Invitation Guest Speaker @ ACFTI Cybersecurity stream
by Andrew Zayine 08 Feb '24

08 Feb '24

On behalf of the Association of Cyber Forensics and Threat Investigators (ACFTI), I am pleased to invite you to the new Cybersecurity stream lecture/seminar series. The presentation is a maximum of 1 hour in length, with an audience of about 60+, made up of undergraduate and postgraduate students plus cybersecurity students from developing countries. Our goal is to shine a spotlight on the broad array of new advances in cybersecurity science and operations currently adopted in the industry. This session will be conducted online. It will be fantastic to have any hands-on topics related to cyber forensics. Your discussion on this topic will be a great addition to our event. Expressions of interest to present from anyone doing research or applying cybersecurity techniques to practical or theoretical applications related to the interactions between cyber forensics and threat investigations can be sent as a summary of your work (c.200 words) to acfti (at) acfti (dot) org by February 15, 2024 Thank you in advance for your consideration, and we are very much looking forward to hearing from you. To get more news about our events, please join our low-traffic announcement group @ https://groups.google.com/g/acfti ________________________________________________________ Association of Cyber Forensics and Threat Investigators https://www.acfti.org Twitter: @acfti

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3rd CfP: Workshop on Reference, Framing, and Perspective
by Pia Sommerauer 08 Feb '24

08 Feb '24

We are very pleased to share our second call for papers for our workshop on Reference, Framing, and Perspective co-located with LREC-COLING 2024. Quick overview: * Workshop website: https://cltl.github.io/reference-framing-perspective/ * When: Saturday, May 25th, 20204 * Where: Torino, Italy (co-located with LREC-COLING 2024) * Deadline for submissions: February 20th, 2024 * Paper types: regular papers (short and long) and extended abstracts * Paper submission link: https://softconf.com/lrec-coling2024/reference-framing-perspective2024/user… * Deadline for camera-ready papers: March 29th, 2024 * Shared dataset: https://github.com/cltl/rfp_corpus_collection When something happens in the world, we have access to an unlimited range of ways (from lexical choices to specific syntactic structures) to refer to the same real-world event. We can chose to express information explicitly or imply it. Variations in reference may convey radically different perspectives. This process of making reference to something by adopting a specific perspective is also known as framing. Although previous work in this area is present (see Ali and Hassan (2022)’s survey for an overview), there is a lack of a unitary framework and only few targeted datasets (Chen et al., 2019) and tools based on Large Language Models exist (Minnema et al., 2022). In this workshop, we propose to adopt Frame Semantics (Fillmore, 1968, 1985, 2006) as a unifying theoretical framework and analysis method to understand the choices made in linguistic references to events. The semantic frames (expressed by predicates and roles) we choose give rise to our understanding, or framing, of an event. We aim to bring together different research communities interested in lexical and syntactic variation, referential grounding, frame semantics, and perspectives. We believe that there is significant overlap within the goals and interests of these communities, but not necessarily the common ground to enable collaborative work. Referentially Grounded Shared Dataset One way to study variation in framing is to conduct contrastive analyses of texts reporting on the same real-world event. Such an analysis can help to reveal the extent of variation in framing and possibly give rise to the underlying factors that lead to different choices in framing the same event. We collected such a corpus about the Eurovision Song Festival and make it available as a Shared Dataset for the Workshop. The purpose of this corpus is to enable exploratory analyses, facilitate discussion among participants, and, last but not least, make our workshop a real working workshop. The corpus is composed of news articles reporting on the Eurovision Song Contest that took place in Rotterdam, the Netherlands (canceled in 2020 and held in 2021). The news articles have been collected using the structured data-to-text approach (Vossen et al., 2018). The corpus contains news articles in multiple languages. We invite participants to submit short and targeted analyses using the data (extended abstracts to be discussed in a hands-on data session). Participants are also free to use the data in regular contributions. Regular contributions: We aim to lay the groundwork for such efforts. We invite contributions (regular long papers of 8 pages or short papers of 4 pages) targeting any of the following - non-exhaustive - list of topics: * Theoretical models of framing and perspective * Annotation frameworks for framing and perspectives * Computational models of framing and perspective * Approaches for creating and analyzing referentially grounded datasets (containing different perspectives, written at different points in time, written in different languages) * Approaches for and analyses of texts about contested and divisive events triggering different opinions and perspectives * Analyses of and methods for analyzing (diachronic) lexical variation and framing * Language resources for reference, frames, and perspectives * Approaches and tools to compare claims of sources * Frames as expressions of bias in the representation of social groups * User interface for the visualization of multiple perspectives Extended abstracts: We invite extended abstracts (1,500 words maximum) about small analyses or experiments conducted on our Shared Data. The abstracts will be non-archival and discussed in a dedicated data session. Invited speakers: Maria Antoniak Vered Shwartz Organizers: Pia Sommerauer, Tommaso Caselli, Malvina Nissim, Levi Remijnse, Piek Vossen

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[CFP] REPL4NLP 2024: First Call for Papers
by Pepa Atanasova 08 Feb '24

08 Feb '24

Apologies for cross-posting. --------------------------------------------------------------------------- The *9th Workshop on Representation Learning for NLP (RepL4NLP 2024)*, co-located with ACL 2024 in Bangkok, Thailand, invites papers of a theoretical or experimental nature describing recent advances in vector space models of meaning, compositionality, and the application of deep neural networks and spectral methods to NLP. We welcome submissions on representations of text, as well as representations that are multi-modal, cross-lingual, representations of symbolic languages, code, enriched with external knowledge, or structure-informed (syntax, morphology, etc). *Topics for the workshop will include, but are not limited to:* - *Developing new representations*: at any level of granularity (document to character) using supervised, unsupervised or semi-supervised techniques for a multitude of tasks such as language modeling, similarity search, clustering, etc. - *Efficient learning of representations*: with respect to training and inference time, model size, amount of training data, etc. - *Evaluating representations*: with respect to training objectives (for LLMs: next token prediction, RLHF, span-mask denoising, etc), types of test data (e.g., text vs code), and architectures (decoder-only, encoder-decoder, etc), as well as assessing representations for generalization, compositionality, and robustness (e.g., adversarial), etc. - *Representation analysis*: methods for visualizing, explaining, and inspecting specific properties of representations (e.g., through probing), enhancing their interpretability, investigating their influence on the model's behavior, assessing the causal impact of interventions within the representation space on the model's behavior, etc. - *Relating representation to behavior*: whether, and to what extent, a model’s representations cause, condition, or boost its behavior (e.g., for LLMs: the relationship between encoded knowledge and task performance). Is possessing good representations necessary or sufficient for solving a task? Vice versa, is model behavior informative of its learned representations? *Key Dates* Direct paper submission deadline: May 17, 2024 ARR commitment deadline: June 1, 2024 Notification of acceptance: June 17, 2024 Camera-ready papers due: July 1, 2024 Workshop date: Aug 16, 2024 *Submissions*Papers may be long (maximum 8 pages plus references) or short (maximum 4 pages plus references). We encourage authors to include a broader impact and ethical concerns statement, following ARR Ethics Policy from the main conference. Papers can be submitted directly via OpenReview. *ACL 2023 fast-track submissions*Papers submitted to the ACL 2024 main conference that have not been selected can be submitted to the RepL4NLP 2024 fast-track. We will then make a decision based on your reviews received from ACL 2024. Note that you do not need to submit the reviews received from ACL 2024. *Website* https://sites.google.com/view/repl4nlp2024/ *Organizers* Chen Zhao, New York University Shanghai Marius Mosbach, Saarland University Pepa Atanasova, University of Copenhagen Seraphina Goldfarb-Tarrent, Cohere Peter Hase, University of North Carolina at Chapel Hill Arian Hosseini, University of Montreal Maha Elbayad, Meta AI Sandro Pezzelle, University of Amsterdam Maximilian Mozes, University College London

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Invitation: Panels on AI, LLM, NLP, Data Analytics and Social computing
by Wajdi Zaghouani 08 Feb '24

08 Feb '24

Dear colleagues I would like to invite you to register and join us *online *or ** in person ** in Qatar Foundation Minaretein building Auditorium on Feb 19th 2024 as of 9AM to attend two panels related to Data sciences, AI, LLM, NLP and Social computing to discuss topics such as Hate Speech Detection, Fake news Detection and Text analytics with an impressive lineup of International speakers such as *Dr. Kareem Darwish *(AIXPLAIN), *Dr. Kiran Garimella* (Rutgers University), Tuğrulcan Elmas ( University of Edinburgh), Roy Lee Ka Wei (Singapore University of Technology and Design) , Patrick Juola (Duquesne University), Jiří Milička (Charles University) and David Kaufer (Carnegie Mellon University). I believe this public event will be useful for faculty, students, researchers, staff etc. Please feel free to forward this invitation to your colleagues and students. The event is organized within the second HBKU MIDDLE EAST CONFERENCE 2024 Gender, Technology, and Digital Cultures in the Middle East Registration link (Free Registration) https://app.micetribe.com/public/workspaces/chss/events/1282251051/forms/vi… <https://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fapp.micet…> Full Program (Feb 18 and Feb 19) https://www.hbku.edu.qa/en/mec2024/program <https://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.hbku.…> Best, Wajdi Zaghouani ---- *Wajdi Zaghouani, Ph.D.* *Associate Professor in Digital Humanities* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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[CFP] Special issue on Abusive Language Detection of the journal Traitement Automatique des Langues (TAL)
by farah benamara 08 Feb '24

08 Feb '24

================[Apologies for any cross-posting]================ **Special issue of the journal Traitement Automatique des Langues (TAL) Abusive Language Detection : Linguistic Resources, Methods and Applications ** **Guest Editors** Farah Benamara (IRIT-Toulouse University, IPAL Singapore), Delphine Battistelli (MoDyCo, Paris Nanterre University) and Viviana Patti (Turin University) **Motivations** Abusive language - or, in another very common terminology, hate speech - and the propagation of harmful stereotypes have unfortunately become commonplace occurrences on various social media platforms, partly due to users’ freedom and anonymity and the lack of regulation provided by these platforms. The sheer volume and often implicit nature of such unwanted content make manual moderation of these user spaces a formidable task. Various scientific communities interested in its at least partial automation have taken up the problem over the past ten years. In particular, Computational Social Science, Natural Language Processing and Computational Linguistics have proposed numerous works to create resources, datasets, and models aimed at automating the task of abusive language detection (henceforth ALD). In fact, we see that ALD has become a research theme in its own right in the field of Natural Language Processing with an abundant literature. Abusive language (umbrella term to refer to the various forms of harmful language, such as toxic, offensive language, hate speech, and stereotypes) is topically focused and each specific manifestation of abusive language targets different vulnerable groups based on characteristics such as gender (misogyny, sexism), ethnicity, race, religion (xenophobia, racism, Islamophobia), sexual orientation (homophobia), and so on. Most automatic ALD approaches cast the problem into a binary classification task but important considerations should be taken into account, in particular: (1) the topical focus or the target-oriented nature of hate speech ; (2) the degree of engagement of users in abusive content (e.g., denunciation, approbation, reporting, neutral attitude) ; (3) the question of stereotypes and dominant ideologies ; (4) the question of linguistic strategies more particularly linked or born with social networks (e.g., emoticons, hashtags). Furthermore, most of the work (resources, classifiers) is developed for English. **Topics** Motivated by the interest of the community in the problem of ALD, we invite papers from Natural Language Processing, Machine Learning and Computational Social Sciences. We explicitly encourage interdisciplinary submissions (resources, computational methods, and user applications at the interface of linguistics/psychology/socio-linguistics/sociology) but also position papers on the actual state of the art in the field discussing the limitations of the current approaches and directions for future work. The topics covered by the special issue include, but are not limited to: -- Linguistic resources and evaluation: annotation schemes, corpus linguistics studies, new datasets, with a particular interest in French language and/or multilingual resources. In the case of strictly lexical resources: methods for constituting them and coverage, semantic categories retained. -- Formal/Conceptual approaches for ALD as inspired by models in sociology, socio-linguistics and psychology. -- Models and Methods: supervised and unsupervised approaches, including LLMs. -- Role of contextual phenomena, including discourses, extra-linguistic contexts (e.g., cultural aspects). -- Models for cross-lingual and multimodal detection. -- New approaches beyond binary classification: target-oriented ALD, degrees of user engagement, etc. -- Dynamics of online AL in social media, propaganda propagation. -- Bias detection and removal in resource creation, datasets and methods. -- Application of ALD tools in education, social media content moderation, etc. -- Social, legal, and ethical implications of detecting, monitoring and moderating AL. **Important dates** May 31th, 2024: Submission deadline July 15th, 2024: Notification of acceptance after first rereading End of September 2024: Revised version Mid October 2024: Final decision End of November 2024: Camera ready January 2025: Publication of the special issue **Submission** Submissions can either be in French or English and should follow the journal templates: https://tal-65-3.sciencesconf.org/ **About the journal** Traitement Automatiques des Langues Journal (TAL) is the international French journal of Natural Language Processing (https://www.atala.org/revuetal) published by ATALA (French Association for Natural Language Processing, http://www.atala.org) since 1959 with the support of CNRS (National Centre for Scientific Research). It is indexed by ACL Anthology as well as DBLP. It is also supported by the Institute of Human and Social Sciences of the CNRS. **Contact** For any question, please contact tal-65-3(a)sciencesconf.org **External committee** -- Cristina Bosco, University of Turin -- Elena Cabrio, University of Côte d'Azur -- Tommaso Caselli, Faculty of Arts, Rijksuniveristeit Groningen -- Valentina Dragos, ONERA -- Karën Fort, Sorbonne University -- Claire Hugonnier, University of Grenoble Alpes -- Irina Illina, University of Lorraine -- Roy Ka-Wei Lee, Singapore University of Technology and Design -- Véronique Moriceau, IRIT, University of Toulouse -– Frédérique Segond, INRIA Paris -- Mariona Taulé, University of Barcelona -- Samuel Vernet, Aix-Marseille University -- Mathieu Valette, Paris Sorbonne Nouvelle University -- Marcos Zampieri, George Mason University -- ======================== Farah Benamara Zitoune Professor in Computer Science, Université Paul Sabatier IRIT-CNRS 118 Route de Narbonne, 31062, Toulouse. Tel : +33 5 61 55 77 06 http://www.irit.fr/~Farah.Benamara ==================================

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12th International Conference and Workshops on Technology and Chinese Language Teaching
by bbs lists 07 Feb '24

07 Feb '24

Call for papers: 12th International Conference and Workshops on Technology and Chinese Language Teaching (TCLT12), June 22 to 23, 202, University of California, Los Angeles. Conference will be held online. More information about the conference can be found from the conference website.: http://www.tclt.us/tclt12/cfp.php

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CFP: Field Matters 2024 - The Third Workshop on NLP Applications to Field Linguistics
by fieldmattersworkshop＠gmail.com 07 Feb '24

07 Feb '24

Dear colleagues, We are happy to announce that The Third Workshop on NLP Applications to Field Linguistics (Field Matters 2024) will take place at ACL 2024 [https://2024.aclweb.org/] in Bangkok, Thailand on August 16. Please find call for papers bellow: === The Third Workshop on NLP Applications to Field Linguistics === Field linguistics plays a crucial role in the development of linguistic theory and universal language modeling, as it provides uncontested, the only way to obtain structural data about the rapidly diminishing diversity of natural languages. The Field matters workshop aims to bring together the urgent needs of field linguists and the vast community of NLP practitioners, developing up-to-date NLP tools for easier, faster, more reliable data collection and annotation. This year we are adding a special track dedicated to the indigenous languages of Thailand and South-East Asia. We encourage you to submit theses on this topic, although general submissions are also welcomed. We are particularly interested in the following topics: - Application of NLP to field linguistics workflow; - The impact, benefits and harms of NLP-assisted fieldwork; - 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; - Machine-readable field linguistic datasets and computational analysis of field linguistics datasets; - Using technology to preserve culture via language; - Improving ways of interaction with Indigenous communities; - Special track: Indigenous languages of Thailand and South-East Asia. We accept three types of papers: - non-archival submissions: abstracts (2-page) or papers (up to 8-page) that can present already published work or work in progress (note that we accept non-archival submissions even after the main deadline); - short archival submissions: 4-page papers that present new work; - long archival submissions: 8-page papers that present new work. The special track submissions can be either long or short and either archival or non-archival. We offer the following ways of presenting the papers: - the main section; - poster sections. The way a paper will be presented will be determined during the review process. All submissions should be anonymized. We are subjected to the ACL Anonymity Policy. ACL changed its policy for review and citation, and no anonymity period will be required. Dual submissions with the main conference are allowed, but authors must declare dual submission by entering the paper’s main conference submission id. The reviews for the submission for the main conference will be automatically forwarded to the workshop and taken into consideration when your paper is evaluated. Authors of dual-submission papers accepted to the main conference should retract them from the workshop by. Papers posted to preprint servers such as arxiv can be submitted without any restrictions on when they were posted. The workshop will run its own review process, and papers can be submitted directly to the workshop via OpenReview (https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/Field_Matters). The workshop will take place at ACL 2024 (https://2024.aclweb.org/). Both papers and abstracts must follow the ACL 2024 format (https://github.com/acl-org/acl-style-files). Please do not modify these style files. Workshop webpage: https://field-matters.github.io/2024 Contact email: fieldmattersworkshop(a)gmail.com Important dates: - Paper submission deadline: May 17 (Friday), 2024 - Notification of acceptance: June 17 (Monday), 2024 - Camera-ready paper due: July 1 (Monday), 2024 - Workshop dates: August 15–16, 2024 Organizers - Oleg Serikov (KAUST, HSE University) - Elena Klyachko (HSE University) - Francis Tyers (Indiana University) - Ekaterina Vylomova (University of Melbourne) - Éric Le Ferrand (Boston College) - Saliha Muradoğlu (The Australian National University (ANU)) - Ekaterina Voloshina (Independent Researcher) - Anna Postnikova (Independent Researcher) --------------- Best regards, Anna Postnikova Field Matters organizing committee

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Postdoc in Low-Resource NLP & Modeling of Language Learning, University of Groningen
by Bisazza, A. 07 Feb '24

07 Feb '24

Applications are invited for a Postdoctoral Researcher position within the project “Polyglot Machines: Human-like Learning of Morphologically Rich Languages”, financed by a NWO-VIDI Talent Grant and coordinated by Principal Investigator (PI) dr. Arianna Bisazza. This is an interdisciplinary project at the intersection of Computational Linguistics/Natural Language Processing (NLP), Computational Psycholinguistics and Language Acquisition. Despite the impressive advances made possible by neural networks, current NLP systems are still far from displaying the learning abilities of humans in many languages. By contrast, children around the world acquire extremely diverse languages in comparable time spans and from considerably less linguistic input than that required by neural models. This project aims to improve language modeling for low-resource morphologically rich languages, taking inspiration from child language acquisition insights. Among other methodologies, an artificial language learning paradigm will be used to simulate the learning of typologically diverse languages and evaluate the effect of known child-directed language properties on the acquisition of morphology and other language aspects. You will be carrying out your research in the context of the Computational Linguistics group, which is part of the Centre for Language and Cognition of the University of Groningen, The Netherlands. An important part of your work will be conducted together with the PI and the PhD student that will be hired for the same project. Collaboration is also possible with other PhD students supervised by the PI, as well as other members of CLCG. Main requirement: A PhD degree in any area related to the tasks (such as Computational Linguistics, Computational Psycholinguistics and Language Acquisition). Find more details and apply here by 15 February 2024: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… Starting date: Negotiable. Ideally 1 September 2024. The appointment will be for a specified period of 1 year, renewable for up to 2 more years (so up to 3 years in total) following positive evaluation. For questions about the position: A. Bisazza (do not use email for applications) a.bisazza(a)rug.nl -- Arianna Bisazza Associate Professor University of Groningen http://www.cs.rug.nl/~bisazza

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2nd CFP: 8th Workshop on Cognitive Aspects of the Lexicon @LREC-COLING 2024 in Turin (Italy)
by Emmanuele Chersoni 07 Feb '24

07 Feb '24

*The 8th International Workshop on Cognitive Aspects of the Lexicon* https://sites.google.com/view/cogalex-viii-2024 *Co-located with LREC-COLING 2024* https://lrec-coling-2024.org/ Turin, Italy, 20-25 May 2024 * Important Dates* Submission deadline: February 23, 2024 Date of notification: March 20, 2024 Camera ready deadline: March 29, 2024 CogALex workshop: May 20, 2024 *Meeting Description* The way we look at the lexicon has changed dramatically over the last few decades. While in the past being considered as an appendix to grammar, the lexicon has now moved to the center stage. Indeed, there is hardly any task in NLP that can be conducted without it. Also, many new proposals have emerged during the last few years. Living in a fast-moving world, it is hard for anyone to stay on top of the wave. Hence the reason for organizing events like this. The goal of this workshop is to provide builders and users of lexical resources (researchers in NLP, psychologists, computational lexicographers) a forum to share their knowledge and needs concerning the construction, organization, and use of a lexicon by people (lexical access) and machines (NLP, IR, data mining). Like in the past, we invite researchers to address unsolved problems concerning the lexicon, by considering this time however also Large Language Models (LLMs). More precisely, we would like to explore their potential for building and using lexical resources as well as their ability to shed new light on the cognitive aspects of the lexicon. We solicit contributions including, but not limited to, the topics listed below, topics, which can be considered from any of the following points of view: - traditional-, computational- or corpus linguistics, - neuro- or psycholinguistics (tip of the tongue problem, word associations), - mathematics (embedding-based approaches, graph theory, small-world problems), etc. *Submissions* Possible submission topics are: - The potential of Large Language Models for the creation and use of lexical resources; - Organization, i.e., structure of the lexicon; - The meaning of words and how to reveal it; - Analysis of the conceptual input given by a dictionary user; - Methods for crafting dictionaries or indexes; - Creation of new types of dictionaries; - Dictionary access (navigation and search strategies), interface issues Short papers can be up to 4 pages in length and long papers up to 8 pages. Both submission formats can have an unlimited number of pages for references. To create your document, please follow the guidelines defined by COLING using their style sheets ( https://lrec-coling-2024.org/authors-kit/). The submissions must be anonymous and they will be peer-reviewed by our program committee. The peer review is double blinded. Accepted papers will also be given an additional page to address the reviewers’ comments. Notice that at least one of the authors of an accepted paper must register for the main conference and present the paper. *Submission Page* https://softconf.com/lrec-coling2024/cogalex2024/ *Dual Submission Policy* Papers may not be submitted to the workshop if they are or will be concurrently submitted to another meeting or publication. *Invited Speaker* Prof. Gilles-Maurice de Schryver (Ghent University, Belgium) https://tshwanedje.com/members/gmds/cv.html *Workshop organizers* - Michael Zock (CNRS, LIS, Aix-Marseille University, Marseille, France) - Emmanuele Chersoni (Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China) - Yu-Yin Hsu (Department of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, China) - Simon de Deyne (University of Melbourne / School of Psychological Sciences, University of Adelaide)

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