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SMASH: Fourth Call for Postdoc Fellowships
by Matthew Purver 16 Dec '24

16 Dec '24

The SMASH programme has just opened its fourth and final call for applications, for 2-year postdoc fellowships on a range of topics that includes "Linguistic knowledge injection into deep learning" and "Cross-lingual transfer for less-resourced languages". Please see below for more info: ---------- Forwarded message --------- From: Smash <smash(a)ung.si> The fourth call for applications for SMASH postdoctoral Fellowships, co-funded by Marie Sklodowska Curie Actions, is now open! It offers excellent research opportunities that revolve around machine learning and its applications to the fields of climate research, linguistics, precision medicine and fundamental physics. In this call, SMASH aims to hire about 6 fellows who will be hosted in five Slovenian institutions. They can also spend up to 1/3 of their 2-years appointments at one of our international academic partners (including top EU centres like Gravitation and Astroparticle Physics at the University of Amsterdam, and world-leading institutions like CERN and UC Berkeley) or at some of the most successful Slovenian companies. Each 2-year fellowship offers excellent working conditions, access to top infrastructure (including the HPC Vega), substantial research and travel funds and a salary that is significantly higher than local costs of living. The SMASH program values an inclusive culture and believes diversity is the key to success, so SMASH warmly welcomes applicants from underrepresented groups. Note also that SMASH offers a dedicated allowance to support applicants with special needs. In order to apply, fellows need to contact their desired supervisor who will assist them in preparing short research proposals and provide them with the necessary letters of support from the host institutions. *For more information see:https://smash.ung.si/open-call-4/ <https://smash.ung.si/open-call-4/> .* *The application deadline is April 1st 2025.* -- -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are **Tuesday-Thursday**; responses to mail on other days may be delayed.*

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Deadline 15th January: 5-6 months M2 internship, A computational socio-linguistic exploration of the Ethics of AI landscape, at Télécom Paris
by Maria Boritchev 16 Dec '24

16 Dec '24

Hi everyone, Tiphaine Viard and Maria Boritchev are offering a master 2 internship at Télécom Paris. Feel free to contact us if you have any questions about the offer or the project, the details on the offer are below: Title: A computational socio-linguistic exploration of the Ethics of AI landscape Duration: 5-6 months, starting from April 1st (flexible) Location: Télécom Paris, 19 Pl. Marguerite Perey, 91120 Palaiseau, France Advisors: [ https://mboritchev.github.io/page-perso-TP/ | Maria Boritchev ] , [ https://tiphainev.github.io/ | Tiphaine Viard ] Gratification: Approximately 600 euros per month (more or less 20 euros per month, the precise amount will depend on changes in the French labor code in 2025). Context: The recent years have seen a surge of initiatives with the goal of defining what “ethical” artificial intelligence would or should entail, resulting in the publication of various charters and manifestos discussing AI ethics; these documents originate from academia, AI industry companies, non-profits, regulatory institutions, and the civil society. The contents of such documents vary wildly, from short, vague position statements to verbatims of democratic debates or impact assessment studies. As such, they are a marker of the social world of artificial intelligence, outlining the tenets of different actors, the consensus and dissensus on important goals, and so on [1]. We have assembled a corpus of charters and manifestos of Ethics of AI, in English, written by different actors of the current AI landscape. This corpus is called MapAIE: [ https://mapaie.telecom-paris.fr/ | https://mapaie.telecom-paris.fr/ ] . We are conducting research on data from MapAIE both from a sociological and linguistic perspectives: * Sociologically, who are the groups of people who write about Ethics of AI? * Linguistically, what type of vocabulary or semantic constructions do people use to write about Ethics of AI? * Socio-linguistically, is there a difference in linguistic usage between different groups of people who write about Ethics of AI? To conduct these investigations, we would like to go further than traditional tools: we intend to develop graph-based natural language processing and computational sociology approaches making better use of modern NLP methods to explore our data. In particular, we could to exploit word sense induction approaches to automatically extract different linguistic usages. Objectives: The goal of this internship is to investigate MapAIE by using and developing graph-based natural language processing and computational sociology approaches. The internship will proceed in three steps: (1) Conduct a state of the art exploration on existing graph-based natural language processing and computational sociology techniques, starting from Abstract Meaning Representations (AMR, [ https://github.com/amrisi/amr-guidelines/blob/master/amr.md | https://github.com/amrisi/amr-guidelines/blob/master/amr.md ] ) and Cortext ( [ https://www.cortext.net/ | https://www.cortext.net/ ] ). (2) Re-implement existing techniques identified in (1), in particular [2], and analyse the obtained results sociologically and linguistically in view of the research questions of the project. (3) Propose new research questions and new graph-based data exploration approaches relevant to MapAIE. Bibliography: [1] Mapping AI ethics: a meso-scale analysis of its charters and manifestos, Mélanie Gornet, Simon Delarue, Maria Boritchev, and Tiphaine Viard, ACM Conference on Fairness, Accountability and Transparency 2024. [2] Matan Eyal, Shoval Sadde, Hillel Taub-Tabib, and Yoav Goldberg. 2022. Large Scale Substitution-based Word Sense Induction. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics. [3] Roth, C., & Hellsten, I. (2023). Socio-semantic configuration of an online conversation space: The case of Twitter users discussing the# IPCC reports. Social Networks, 75, 186-196. [4] Becker, H. S. (1976). Art worlds and social types. American behavioral scientist, 19(6), 703-718. [5] Cefaï, D. (2016). Publics, problèmes publics, arènes publiques…. Que nous apprend le pragmatisme?. Questions de communication, (30), 25-64. Application: * deadline: January 15th, 2025 * To apply for this position, please send an email with your CV and a few words explaining your interest in this project to Maria Boritchev and Tiphaine Viard ( [ mailto:firstname.lastname@univ-nantes.fr | firstname.lastname(a)telecom-paris.fr ] ). We are looking for applications from students preparing a Master’s degree or equivalent with solid skills (and ideally experience) in Natural Language Processing, Machine Learning and Deep Learning, Computational Social Sciences. Knowledge of English is necessary.

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[Corpora-List][CFP] IJCNN Special Session on Explainable Deep Neural Networks for Responsible AI: Post-Hoc and Self-Explaining Approaches (DeepXplain 2025)
by Francielle Vargas 16 Dec '24

16 Dec '24

Dear Colleagues, We are delighted to invite you to participate in "Explainable Deep Neural Networks for Responsible AI: Post-Hoc and Self-Explaining Approaches (DeepXplain 2025)," a special session at IJCNN 2025 dedicated to innovative methodologies for improving the interpretability of Deep Neural Networks (DNNs) while maintaining high predictive accuracy. Website: https://deepxplain.github.io/ Contributions This special session aims to foster interdisciplinary collaboration, promote the ethical design of AI systems, and encourage the development of benchmarks and datasets for explainability research. Our goal is to advance both post-hoc and intrinsic interpretability approaches, bridging the gap between the high performance of deep neural networks and their transparency. By doing so, we seek to enhance human trust in these models and mitigate the risks of negative social impacts. Topics of interest include, but are not limited to: - Theoretical advancements in post-hoc explanation methods (e.g., LIME, SHAP, Grad-CAM) for DNNs. - Development of inherently interpretable architectures using self-explaining mechanisms, such as attention-based or saliency-based models, prototype networks, and SENNs (Self-Explaining Neural Networks). - Post-hoc and self-explaining methods for Large Language Models (LLMs). - Application-driven explainability insights, particularly in Natural Language Processing and Computer Vision. - Ethical evaluations of DNN-based AI models with a focus on reducing bias and social impact. - Methods, metrics, and methodologies for improving interpretability and fairness in DNNs. - Ethical discussions about the social impact of non-transparent AI models. - Datasets and benchmarking tools for explainability. - Explainable AI in critical applications: healthcare, governance, misinformation, hate speech, etc. Submission Information We welcome submissions of academic papers (both long and short) across the spectrum of theoretical and practical work, including research ideas, methods, tools, simulations, applications or demonstrations, practical evaluations, position papers, and surveys. Submissions must be written in English, adhere to the IJCNN-2025 formatting guidelines, and be submitted as a single PDF file. Important Dates: - Submission link: https://cmt3.research.microsoft.com/IJCNN2025/ - Submission deadline: January 15, 2025 - Notification date: March 15, 2025 - Camera-ready submission: May 1, 2025 Organizers - Francielle Vargas <https://franciellevargas.github.io/>, University of São Paulo, Brazil - Roseli Romero <https://sites.icmc.usp.br/rafrance/>, University of São Paulo, Brazil - Jackson Trager <https://www.jacksonptrager.com/>, University of Southern California, USA - Edson Prestes <https://www.inf.ufrgs.br/~prestes/site/Welcome.html>, Federal University of Rio Grande do Sul, Brazil [], *Francielle Vargas* PhD in Computer Science University of São Paulo https://franciellevargas.github.io

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Elements in Semantics: new series
by Jonathan Ginzburg 16 Dec '24

16 Dec '24

We are happy to announce the first two titles in the series *Elements in Semantics,* published by Cambridge University Press, both by Kristina Liefke. Given how fundamental ontology is to semantics, it is particularly apposite that the first titles in the series address this topic. CUP makes these works freely available for download until January 4 and January 8, respectively: Kristina Liefke *Natural Language Ontology and Semantic Theory* https://tinyurl.com/3kv5wcdj Kristina Liefke *Reduction and Unification in Natural Language Ontology* https://tinyurl.com/bdk5ufat Forthcoming titles in the series to appear shortly include: Lasha Abzianidze, Lisa Bylinina, and Denis Paperno *Deep Learning and Semantics, * Stergios Chatzikyriakidis, Robin Cooper, Eleni Gregoromichelaki, and Peter Sutton *Types and the structure of meaning: Issues in compositional and lexical semantics, * Katherine Davidson *s* *About Elements in Semantics* Interest in semantics has exploded in a number of fields in recent years. Yet there are still many unresolved issues about basic issues in the field, as well as new questions that have arisen as a result of interdisciplinary engagement. What are word meanings, and where do they come from? How can we explain the learnability of language and its structured nature? What are the computational properties of language, and how does the brain implement these? How does individual cognition relate to the social aspect of meaning? These, and many more, have been raised or sharpened as a result of engagement with game theory, robotics, and deep learning, to name a few. Given the importance of meaning in human cognition and society at large, results in semantics bear on issues as diverse as legal decision-making and the use of spoken dialogue systems to operate a robot on Mars. The innovative edge of Elements in Semantics consists in three aspects in particular. First, we provide a platform that emphasizes the interdisciplinary nature of current work in semantics. Second, Elements will offer an integrated account of classical topics in semantics (e.g., negation, anaphora, conditionals) from a broader range of disciplines than traditional surveys. Third, Elements offers authors the ability to convey their research to audiences in innovative ways, using in-line audio and video as well as in-line simulations and data analysis via runnable code snippets in a variety of programming languages. Website: https://www.cambridge.org/core/publications/elements/elements-in-semantics Dan Lassiter, Jonathan Ginzburg (series editors)

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Deadline 18th: Postdoc in computational linguistics / data science in Change is Key!
by Nina Tahmasebi 16 Dec '24

16 Dec '24

Want to work as a postdoc in a vibrant research group on cutting-edge methodology for computational modeling of meaning and meaning change? We are hiring one or more postdocs in the Change is Key! research program. The program is multi-national and multi-disciplinary covering both core NLP research as well as its application for humanities and social sciences. You will be working with LLMs for modeling meaning and semantic change and using this to detect cultural and societal changes. We publish regularly in top tier venues with generous research funds. The position is located in the heart of Gothenburg in Sweden, and we will provide help with finding researcher apartments if needed. We are a diverse research group that values our differences and thus we welcome any and all applicants with relevant research backgrounds interested in our topics. Find more about our work here: https://www.changeiskey.org/ Deadline for the call: December 18, 2024. Apply here: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Or email me back if you have any questions. Sincerely, -Nina. Nina N. Tahmasebi, Associate Professor Change is Key! • University of Gothenburg nina.tahmasebi(a)gu.se https://changeiskey.org/ https://languagechange.org/ http://tahmasebi.se/ https://gu-se.zoom.us/my/ninatahmasebi “Intelligence + Effort = Achievement" S. Mendaglio

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UCCTS 2025 - Second Call for Papers
by Ekaterina Lapshinova-Koltunski 16 Dec '24

16 Dec '24

UCCTS 2025 - Second Call for Papers The eighth edition of the UCCTS conference (www.uni-hildesheim.de/uccts2025) will be held on the 8-10th of September 2025 in Hildesheim, Germany. UCCTS conference series are meant to bring together researchers who collect, annotate, analyze corpora and/or use them to inform contrastive linguistics and translation theory and/or develop corpus-informed tools (in foreign language teaching, language testing and quality assessment, translation pedagogy, computer-aided/machine translation or other related NLP domains). We invite original submissions that open to various topics within empirical contrastive linguistics and translation studies (see below). We welcome interdisciplinary contributions that combine corpus data with other types of empirical data (e.g. experiment) and allow for an interplay between different methods and data types. Moreover, we encourage contributions applying information and computational technologies including Large Language Models (LLMs). Conference topics include: * Quantitative approaches in corpus-based contrastive and translation/interpreting studies, in particular with multi-methodological designs (corpus-based, corpus-driven, experimental) and advanced statistical modeling * Computational methods derived from NLP and data mining (e.g. computational semantics, pragmatics) applied to contrastive linguistics and translation studies * LLMs for contrastive linguistics and translation research (data annotation, data analysis, etc.) * Method and data triangulation: combined use of corpus data and methods and other sources of data * New or remodeled theoretical frameworks relevant to corpus-based contrastive and translation/interpreting studies * Presentation of new resources for contrastive and translation studies (spoken and multimodal corpora, sign language (interpreting) corpora, transcript datasets, corpora of low-resourced languages, lexicons, databases, etc.) * Linguistic variation of various types, e.g. variation driven by register or genre variation, learner language, target audience, mode of production, etc. * Cognitive approaches to translation (and other language product) properties * Analysis of non-canonical forms of (multilingual) communication * Corpus use in translator training, foreign language learning/teaching * Corpus use in multilingual (e-)lexicography and terminology * Quality assessment in (automatic) translation and interpreting * Non-canonical forms of translation/interpreting and multilingual communication * Corpus analysis of translation between close languages, from a third language, non-native translation, indirect/relay translation, etc. * Analysis of accessible communication (e.g. intralingual translation, audio-visual and audio-descriptive forms, etc.) The submissions are to be made in the form of anonymized extended abstracts (in PDF) that should be between 800 and 1000 words long (excluding references) by February 10, 2025. Apart from a clear outline of the aims and methods of the study, the abstracts should also provide (preliminary) results. The abstracts will be submitted through the Open review system and reviewed by at least two members of the scientific committee. The accepted contributions will be presented either as oral talks or as posters. All submissions must follow abstract submission instructions given below. Abstract text must be in single-spaced 12pt Arial font, with no indents and 1 inch borders on each side (2.54 cm). The title should be in 12pt Arial, bold and centered, in title case. Page numbers should be omitted. Figure and table captions should be in 10pt Arial font. Table and figure captions should appear below the table or figure. References must be in 9pt Arial font, in APA7 format.Publications The abstracts of the accepted papers will be published in an online book of abstracts. We also plan to publish selected papers in an edited volume or in a special issue of a journal. Further information will be communicated in due course. Keynote speakers We are pleased to announce that the following plenary lectures are planned for the UCCTS2025 conference in Hildesheim: * Elke Teich, Saarland University in Germany * Dylan Glynn, Université Paris 8, Vincennes - St Denis * Christian Hardmeier, IT University of Copenhagen Important dates * Conference abstract submission due: Feb 10, 2025 * Notification of acceptance: April 14, 2025 * Final abstract version due: May 5, 2025 * Registration open: May 12, 2025 * Early-bird registration: July 7, 2025 * Conference date: September 8-10, 2025 -- Prof. Dr. Ekaterina Lapshinova-Koltunski Mehrsprachige technische Fachkommunikation Institut für Übersetzungswissenschaft und Fachkommunikation Fachbereich 3: Sprach und Informationswissenschaften Stiftung Universität Hildesheim Lübecker Straße 3 31141 Hildesheim +49 5121 883-30934

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Invitation for Research Collaboration in Multimodal and Explainable AI
by Dushyant Chauhan 16 Dec '24

16 Dec '24

Hello everyone, I am Dushyant Singh Chauhan, a PhD graduate from the Indian Institute of Technology (IIT) Patna, India, where I conducted my research under the guidance of Prof. Asif Ekbal (IIT Jodhpur) and Prof. Pushpak Bhattacharyya (IIT Bombay). Dr. Dushyant Singh Chauhan --> https://scholar.google.co.in/citations?user=Gs8MoW4AAAAJ&hl=en Prof. Asif Ekbal --> https://ekbalasif.github.io/ Prof. Pushpak Bhattacharyya --> https://www.cse.iitb.ac.in/~pb/ Prof. Asif Ekbal and I are looking for research collaborators in the following areas: - [Multimodal Causal Reasoning] refers to how AI systems can infer cause-and-effect relationships across multiple data modalities to enhance decision-making and reasoning capabilities. - [Missing Modalities] refer to scenarios where certain data modalities are absent or incomplete, aiming to ensure robust performance and adaptability despite missing information. - [Topic Switching] refers to how AI systems manage abrupt shifts in topics or contexts, ensuring smooth and coherent transitions during conversation. - [Multimodal Question-Answering] refers to AI systems integrating multiple data modalities to provide accurate, context-aware answers. - [Video Summarization] refers to condensing long videos into shorter summaries while preserving key information and context for easier understanding. - [Interpretability and Explainability] refer to ensuring that AI systems are not only understandable in terms of their internal workings (interpretability) but also provide clear human understandable justifications for their decisions (explainability). - And similar research areas of your interest. If you are interested in collaborating on these topics with the ultimate goal of publishing impactful research, we would be delighted to hear from you. Additionally, we welcome discussions about your research interests and are open to exploring ideas in alignment with your expertise. To express your interest and reach out for collaboration, please fill out this form at https://forms.gle/fM7xsXgHTxjiuGLV6. Please note that this is not a paid collaboration but rather a shared academic effort aimed at advancing research in these exciting fields and contributing to high-quality publications. Looking forward to your response. +++++++++++++++++++++++++++++++++++ Regards, Dushyant Singh Chauhan Ph.D. Scholar, Department of CSE, AI-NLP-ML Lab, IIT Patna, India +++++++++++++++++++++++++++++++++++

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Labs CLEF 2025: Call for Participation
by Damiano Spina 16 Dec '24

16 Dec '24

RMIT Classification: Trusted CLEF 2025 Conference and Labs of the Evaluation Forum https://clef2025.clef-initiative.eu/ 9-12 September 2025, Madrid, Spain *** CALL FOR PARTICIPATION *** CLEF 2025 is the 16th CLEF conference continuing the popular CLEF campaigns which have run since 2000 contributing to the systematic evaluation of information access systems, primarily through experimentation on shared tasks. Building on the format first introduced in 2010, CLEF 2025 consists of an independent peer-reviewed conference on a broad range of issues in the fields of multilingual and multimodal information access evaluation, and a set of labs and workshops designed to test different aspects of mono and cross-language Information retrieval systems. Together, the conference and the lab series will maintain and expand upon the CLEF tradition of community-based evaluation and discussion on evaluation issues. *** LABS REGISTRATION *** Registration for participation in labs is now open and available at https://clef2025.clef-initiative.eu/index.php?page=Pages/registration.html *** 2025 TASKS *** BioASQ: A Challenge in Large-scale Biomedical Semantic Indexing and Question Answering https://www.bioasq.org/workshop2025 The aim of the BioASQ Lab is to push the research frontier towards systems that use the diverse and voluminous information available online to respond directly to the information needs of biomedical scientists. CheckThat!: Lab on Subjectivity, Fact-Checking, Claim Extraction & Normalization, and Retrieval https://checkthat.gitlab.io/clef2025/ The eighth edition of the CheckThat! lab at CLEF presents a diverse set of challenges aimed at advancing technology to support and enhance the journalistic verification process. This edition revisits core tasks in the verification pipeline while also introducing auxiliary tasks such as subjectivity identification, claim normalization, and fact-checking numerical claims, with a particular emphasis on scientific web discourse. These tasks pose complex classification and retrieval problems at both the document level, including in multilingual contexts. ELOQUENT lab for evaluation of generative language model quality https://eloquent-lab.github.io/ The ELOQUENT lab for evaluation of generative language model quality and usefulness addresses high-level quality criteria through a set of open-ended shared tasks implemented to require minimal human assessment effort. eRisk: Early Risk Prediction on the Internet https://erisk.irlab.org/ eRisk explores the evaluation methodology, effectiveness metrics and practical applications (particularly those related to health and safety) of early risk detection on the Internet. EXIST: sEXism Identification in Social neTworks https://nlp.uned.es/exist2025/ EXIST aims to capture and categorize sexism, from explicit misogyny to other subtle behaviors, in social networks. In 2024 the EXIST campaign included multimedia content in the format of memes, stepping forward research on more robust techniques to identify sexism in social networks. Following this line, in 2025 we will focus on TikTok videos in the challenge, thus including in the dataset the three most important sources of sexism spreading: text, images and videos. Consequently, it is essential to develop automated multimodal tools capable of detecting sexism in text, images, and videos, to raise alarms or automatically remove such content from social network because platforms’ algorithms often amplify content that perpetuates gender stereotypes and internalized misogyny. This lab will contribute to the creation of applications that identify sexist content in social media across all three formats. ImageCLEF: Multimodal Challenge in CLEF https://www.imageclef.org/ ImageCLEF 2025 focuses on evaluating technologies for annotating, indexing, classifying, retrieving and generating multimodal data, providing access to large datasets across a veriety of scenarios, including medical, social media, and internet-based applications. Building on the success of recent editions, it encourages interdisciplinary methods by engaging participants in diverse domains, providing large amounts of challenging multimodal data and providing am evaluation platform for a large number of use cases. JOKER: Humour in the Machine https://www.joker-project.com/clef-2024/ JOKER aims to foster interdisciplinary approaches to the (semi-)automatic analysis and processing of humour and wordplay. LifeCLEF: Challenges on Species Presence Prediction and Identification, and Individual Animal Identification https://www.imageclef.org/LifeCLEF The LifeCLEF 2025 lab focuses on advancing AI-driven solutions for biodiversity monitoring through challenges on species and individuals recognition and prediction. LongEval: Longitudinal Evaluation of Model Performance https://clef-longeval.github.io/ The goal of this task is to ignite the development of Information Retrieval systems that can handle temporal data evolution. The retrieval systems evaluated in this task are expected to be persistent in their retrieval efficiency over time, as Web documents and Web queries evolve. To evaluate such features of systems, we rely on collections of documents and queries, corresponding to real data acquired from actual Web search engines. PAN Lab on Stylometry and Digital Text Forensics https://pan.webis.de/ PAN is a series of scientific events and shared tasks on digital text forensics and stylometry whose goal is to advance the state of the art and provide for an objective evaluation on newly developed benchmark datasets in those areas. QuantumCLEF https://qclef.dei.unipd.it/ The second edition of the QuantumCLEF lab is composed of three tasks and aims at: (i) Discovering and evaluating Quantum Annealing approaches compared to their traditional counterpart; (ii) Identifying new ways of formulating Information Retrieval and Recommender Systems algorithms and methods, so that they can be solved with Quantum Annealing; (iii) Establishing collaborations among researchers from different fields to harness their knowledge and skills to solve the considered challenges and promote the usage of Quantum Annealing. This lab allows participants to use real quantum computers provided by CINECA, one of the most important computing centers worldwide. SimpleText: Simplify Scientific Text https://simpletext-project.com/ The SimpleText track aims at improving accessibility to scientific information for everyone, developing corpora, evaluation measures, and new IR/NL models able to reduce scientific text complexity with strict faithfulness to the original text. TalentCLEF: Skill and Job Title Intelligence for Human Capital Management https://talentclef.github.io/talentclef/ TalentCLEF aims to drive technological advancement in Human Capital Management by establishing a public benchmark for NLP models that facilitates their application in real-world Human Resources (HR) scenarios, incorporating evaluation criteria incluiding multilingualism, fairness, and cross-industry adaptability. The lab also seeks to build a community for researchers and practitioners to generate, evaluate, and discuss ideas on the use of AI in Human Resources, pushing the state-of-the-art of NLP applications for Human Resources. Touché: Argumentation Systems https://touche.webis.de/ Touché is a series of scientific events and shared tasks on computational argumentation and causality. *** IMPORTANT DATES *** (may vary depending on the task) 18 November 2025: Registration opens 25 April 2025: Registration closes 10 May 2025: End of Evaluation Cycle [submission of runs] 30 May 2025: Submission of Participant Papers [CEUR-WS] 30 May–27 June 2025: Review process of participant papers 27 June 2025: Notification of Acceptance for Participant Papers [CEUR-WS] 7 July 2025: Camera Ready Participant Papers and Extended Lab Overviews [CEUR-WS] due 9-12 September 2025, CLEF 2025 Conference, Madrid, Spain *** OVERALL COORDINATION *** General Chairs Laura Plaza, Universidad Nacional de Educación a Distancia (UNED), Spain Jorge Carrillo de Albornoz, Universidad Nacional de Educación a Distancia (UNED), Spain Julio Gonzalo, Universidad Nacional de Educación a Distancia (UNED), Spain Alba García Seco de Herrera, Universidad Nacional de Educación a Distancia (UNED), Spain Lab Chairs Paolo Rosso, Universitat Politècnica de València, Spain Damiano Spina, RMIT University, Australia

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TOC: Journal of Language Modelling 12(2) (special issue on computational approaches to morphological typology )
by Adam Przepiórkowski 15 Dec '24

15 Dec '24

It is our pleasure to announce the publication of issue 12(2) – a special issue on computational approaches to morphological typology – of the Journal of Language Modelling (JLM), a free Diamond Open-Access peer-reviewed journal aiming to bridge the gap between theoretical, formal and computational linguistics: http://jlm.ipipan.waw.pl/ (see “CURRENT” or “ALL ISSUES”). The direct persistent link to this issue is: http://jlm.ipipan.waw.pl/index.php/JLM/issue/view/32. JLM is indexed by SCOPUS, ERIH PLUS, DBLP, DOAJ, etc., and it is a member of OASPA. TABLE OF CONTENTS: Editorial: “Computational approaches to morphological typology” Micha Elsner, Sacha Beniamine 271–286 Articles: “Alignment everywhere all at once: Applying the late aggregation principle to a typological database of argument marking” David Inman, Alena Witzlack-Makarevich, Natalia Chousou-Polydouri, Melvin Steiger 287–347 “Zero marking in inflection: A token-based approach” Laura Becker 349–413 “An analogical approach to the typology of inflectional complexity” Matías Guzmán Naranjo 415–475 “Corpus-based measures discriminate inflection and derivation cross-linguistically” Coleman Haley, Edoardo M. Ponti, Sharon Goldwater 477–529 The current make-up of the JLM Editorial Board is enclosed below. Best regards, Adam Przepiórkowski (JLM Editor-in-Chief) ====================================================================== EDITORIAL BOARD: • Steven Abney (University of Michigan, USA) • Ash Asudeh (University of Rochester, USA) • Igor Boguslavsky (Technical University of Madrid, SPAIN) • Paul Boersma (University of Amsterdam, THE NETHERLANDS) • Olivier Bonami (Université Paris Cité, Laboratoire de linguistique formelle, CNRS, France) • Robert D. Borsley (Professor Emeritus, University of Essex, UNITED KINGDOM; Honorary Professor, Bangor University, UNITED KINGDOM) • António Branco (University of Lisbon, PORTUGAL) • David Chiang (University of Notre Dame, USA) • Dan Cristea (University of Iași, ROMANIA) • Berthold Crysmann (Université Paris Cité, Laboratoire de linguistique formelle, CNRS, FRANCE) • Jan Daciuk (Gdańsk University of Technology, POLAND) • Łukasz Dębowski (Institute of Computer Science, Polish Academy of Sciences, POLAND) • Mary Dalrymple (Professor Emerita, University of Oxford, UNITED KINGDOM) • Anette Frank (Universität Heidelberg, GERMANY) • Claire Gardent (LORIA, CNRS and Université de Lorraine, FRANCE) • Jonathan Ginzburg (Université Paris Cité, Laboratoire de linguistique formelle, CNRS, FRANCE; Laboratoire d’Excellence LabEx-EFLt, FRANCE) • Thomas Graf (Stony Brook University, UNITED STATES) • Stefan Th. Gries (University of California, Santa Barbara, USA; Justus Liebig University Giessen, Germany) • Adam Jardine (Rutgers Department of Linguistics, UNITED STATES) • Heiki-Jaan Kaalep (University of Tartu, ESTONIA) • Laura Kallmeyer (Heinrich-Heine-Universität Düsseldorf, GERMANY) • Jong-Bok Kim (Kyung Hee University, Seoul, KOREA) • Kimmo Koskenniemi (Professor Emeritus, University of Helsinki, FINLAND) • Jonas Kuhn (Universität Stuttgart, GERMANY) • Alessandro Lenci (University of Pisa, ITALY) • John J. Lowe (University of Oxford, UNITED KINGDOM) • Ján Mačutek (Comenius University, Bratislava, SLOVAKIA) • Igor Meľčuk (Professor Emeritus, University of Montreal, CANADA) • Richard Moot (CNRS, LIRMM, University of Montpellier, FRANCE) • Glyn Morrill (Technical University of Catalonia, Barcelona, SPAIN) • Stefan Müller (Humboldt Universität zu Berlin, GERMANY) • Mark-Jan Nederhof (University of St Andrews, UNITED KINGDOM) • Petya Osenova (Sofia University, BULGARIA) • David Pesetsky (Massachusetts Institute of Technology, USA) • Maciej Piasecki (Wrocław University of Science and Technology, POLAND) • Christopher Potts (Stanford University, USA) • Agata Savary (University of Paris-Saclay, FRANCE) • Sabine Schulte im Walde (Universität Stuttgart, GERMANY) • Stuart M. Shieber (Harvard University, USA) • Mark Steedman (University of Edinburgh, UNITED KINGDOM) • Stan Szpakowicz (Professor Emeritus, University of Ottawa, CANADA) • Shravan Vasishth (Universität Potsdam, GERMANY) • Aline Villavicencio (Institute for Data Science and Artificial Intelligence University of Exeter, UNITED KINGDOM; University of Sheffield, UNITED KINGDOM) • Veronika Vincze (University of Szeged, HUNGARY) • Shuly Wintner (University of Haifa, ISRAEL) • Zdeněk Žabokrtský (Charles University in Prague, CZECH REPUBLIC) ====================================================================== -- Adam Przepiórkowski Visiting Professor @ MIT (Linguistics) Full Professor @ Polish Academy of Sciences (Computer Science) Full Professor @ University of Warsaw (Cognitive Science) Editor-in-Chief @ Journal of Language Modelling <https://jlm.ipipan.waw.pl/> WWW: https://zil.ipipan.waw.pl/AdamPrzepiorkowski

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REMINDER: (Self-)nominations for the ACL 2025 review process
by Anette Frank 14 Dec '24

14 Dec '24

Dear NLP community members, Reminder from ACL 2025: We invite for *nominations* and *self-nominations* to join the ACL 2025 programme committee, as a*reviewer *or an *area chair*, depending on your interest, availability and experience. The ACL 2025 review process will be run through ARR in the February cycle. The tentative timeline for the review period is 1 March to 20 March 2025 and the rebuttal period is 26 March to 31 March 2025. Area chairs need to be available throughout the ARR February cycle. Please submit your (self-)nominations through this form by *20 December 2024 (slightly extended deadline):* https://forms.gle/Yu34Z13YzQ3sM8R4A Afterwards, you will be invited to join the ARR February reviewer or area chair (action editor) pool through the ARR OpenReview platform. Please share this message with your colleagues, postdocs and PhD students. Many thanks in advance for your time and contribution! on behalf of the ACL 2025 PC chairs -- Prof. Dr. Anette Frankhttp://www.cl.uni-heidelberg.de/~frank Computational Linguistics Department email:frank@cl.uni-heidelberg.de University of Heidelberg phone: +49-(0)6221/54-3247 Im Neuenheimer Feld 325 secr: +49-(0)6221/54-3245 69120 Heidelberg, Germany fax: +49-(0)6221/54-3242

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