- Corpora - ELRA lists

CfP: Humor and Artificial Intelligence at ISHS/HRC 2024
by Tristan Miller 12 Mar '24

12 Mar '24

Humor and Artificial Intelligence Track ======================================= 34th International Society for Humor Studies Conference (ISHS 2024) and 14th Humor Research Conference (HRC) Hosted online by Texas A&M University-Commerce, April 19 to 21, 2024 https://tamuc.edu/humor ABSTRACT SUBMISSION DEADLINE: MARCH 25, 2024 Call for papers --------------- As in previous years, the Humor and AI Special Interest Group <https://humorstudies.org/Forum/forumdisplay.php?fid=9> of the International Society for Humor Studies will hold a panel at the 34th International Society for Humor Studies Conference (ISHS 2024). This year's conference is being held concurrently with the 14th Humor Research Conference (HRC), hosted online by Texas A&M University-Commerce from April 19 to 21, 2024. We invite 20-minute presentations on AI-based technology for generating, processing, or analyzing humor, for our dedicated panel that kicks off ISHS's 2024 webinar series: <https://humorstudies.org/WebinarCenter2024.htm> 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 250 words, excluding references, should be submitted by e-mail to the conveners by March 25, 2024. Conveners --------- Kiki Hempelmann, Texas A&M University-Commerce <kiki(a)tamuc.edu> Tristan Miller, University of Manitoba <Tristan.Miller(a)umanitoba.ca> Julia M. Rayz, Purdue University <jtaylor1(a)purdue.edu> -- Dr. Tristan Miller, Assistant Professor Department of Computer Science, University of Manitoba https://logological.org/ | Tel. +1 204 474 6792

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[CfP] EXTENDED Deadline! TermTrends @ MDTT24: Models and Best Practices for Terminology Representation in the Semantic Web
by Patricia Martín Chozas 12 Mar '24

12 Mar '24

*Apologies for crossposting* TermTrends24: Models and Best Practices for Terminology Representation in the Semantic Web Workshop colocated with MDTT 2024 <https://mdtt2024.dei.unipd.it/en/> Date: 26th June, 2024 Venue: Granada, Spain More info: https://termtrends.linkeddata.es/ *15 March 2024 7th April (Extended): Deadline for paper submission* *About TermTrends*TermTrends 2024, co-located with MDTT 2024 aims to provide a discussion forum on the theoretical and methodological approaches for the representation of terminological data, both at a conceptual and a linguistic level. In particular, we would like to focus on their connection to the Linguistic Linked (Open) Data (LLOD) paradigm through the representation of these data according to Semantic Web formats. By adopting models or vocabularies proposed for the representation of linguistic data, we would contribute to the creation of interoperable and reusable terminological resources. With this objective, the workshop intends to explore the advantages and challenges underlying various Terminology-related standardisation approaches, ranging from the initially proposed standards to represent terminology within the International Standardisation Organisation (ISO), such as the TermBase eXchange (TBX) format, to models that represent linguistic descriptions associated with ontologies in the Semantic Web, such as SKOS and Ontolex-lemon. Being multidisciplinary in scope, it focuses on identifying terminological representation needs, as well as limitations of current models in addressing such needs, with the aim of also exploring the development of an extension of the Ontolex-lemon vocabulary and how that may contribute to overcoming such challenges. *Call for Papers*The topics of interest for this workshop include, but are not limited to, the following topics: - Terminology Representation Standards - Terminology as Linguistic Linked (Open) Data - Interoperability of Terminological Resources - Reusability of Terminological Resources - Challenges in Terminology Representation - Analysis of the structure of Terminological Resources *Submissions* Papers proposals should follow the CEUR template. Short and long papers will be accepted. Following CEUR guidelines, short papers should be 5-6 pages long and long papers 8-10 pages long. Authors must submit their papers through the EasyChair platform following this link. *Important Dates*15 March 2024* 7th April (Extended) *- Deadline for paper submission *20 April 2024* - Deadline for notification for paper submission *15 May 2024* - Deadline for camera-ready paper submission *26 June 2024 *- TermTrends Workshop *Workshop Organisers* Rute Costa, NOVA FCSH / NOVA CLUNL (Portugal) Elena Montiel-Ponsoda, Universidad Politécnica de Madrid (Spain) Sara Carvalho, Univ. de Aveiro / NOVA CLUNL (Portugal) Patricia Martín-Chozas, Universidad Politécnica de Madrid (Spain) Federica Vezzani, University of Padova (Italy) *Patricia Martín Chozas - Postdoctoral Researcher* * Ontology Engineering Group* Artificial Intelligence Department ETSI Informáticos - Universidad Politécnica de Madrid Phone: (+34) 910673091

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A postdoc position in NLP at the University of Tartu, Estonia
by Kairit Sirts 12 Mar '24

12 Mar '24

Dear all, Applications are invited for a postdoctoral fellowship with the TartuNLP lab in the Institute of Computer Science at the University of Tartu. The funding for the position is provided by the recently established Estonian Centre of Excellence in AI (EXAI), which gathers various research teams from several Estonian research institutions. The successful candidate will work with Kairit Sirts on AI-related projects at the interface between natural language processing (mainly using large language model technology) and psychology with the goal of developing chatbots for supporting mental health. The candidate will also participate with their NLP expertise in collaborative projects with other teams that are part of the EXAI. The suitable candidate has a PhD in natural language processing, artificial intelligence, computer science, or other relevant discipline. They should have a good research and publication track record in NLP. Interest in psychology or mental health related topics is a bonus. Employer: Institute of Computer Science, University of Tartu Title: Researcher in natural language processing Speciality: Natural language processing Location: Tartu, Estonia Deadline: 1 April, 2024 More info about the job offer, application process and the requirements: https://ut.ee/en/job-offer/research-fellow-natural-language-processing-0 All questions related to the position should be sent to me (kairit.sirts(a)ut.ee). Best regards Kairit Sirts

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[CIIAM] Postdoc on Contextual Information Inference for Argument Mining
by Anaïs Ollagnier 12 Mar '24

12 Mar '24

*Bonjour,*** ** * (english announcement follows) Dans le cadre du projet CIIAM (Contextual Information Inference for Argument Mining) financé par l’Académie d’Excellence Réseaux, Information et Société Numérique, visant à renforcer la robustesse des techniques de fouille d'arguments par la synthétisation d’informations contextuelles relevant des aspects multimodaux de la communication. Nous invitons les doctorant(e)s en fin de thèse et les jeunes docteur(e)s à candidater à un postdoctorat sur "l'Amélioration de la fouille d’argument par la synthétisation d’information contextuelle" (12 mois). -------- Contexte -------- Parvenir à appréhender les structures argumentatives dans les entrées en langage naturel constitue une étape clé pour de nombreuses tâches relevant du domaine du Traitement Automatique des Langues (TAL), telles que le résumé automatique ou l'analyse de débats politiques. Bien que des progrès significatifs aient été réalisés grâce à l'avènement des modèles de langue pré-entraînés, ils ne saisissent pas toujours l'ensemble des connaissances linguistiques nécessaires pour une compréhension contextuelle fine et l'établissement d'inférences pertinentes. Face à ces limitations, notre projet vise à explorer l'inclusion de la dimension d'analyse linguistique liée à la pragmatique. Cette approche se veut particulièrement novatrice, car la pragmatique, en raison de sa complexité à être formalisée, est très peu étudiée d'un point de vue computationnel. C’est à travers l'utilisation des dernières techniques de pointe en matière de "prompting" que nous souhaitons pallier les écueils des méthodes existantes, tels que la variabilité culturelle et l’implicite. --------------- Pour candidater --------------- Sujet détaillé : https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Début du contrat : Octobre 2024, au plus tard Durée du contrat : 12 mois Les candidatures comprenant un CV scientifique, une lettre de motivation et des lettres de recommandation doivent être envoyées à Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Date limite : 14 Juin 2024 Laboratoire d'accueil : I3S, Sophia-Antipolis, France Au plaisir de vous lire. ------------------------------------------------------------------------------------------------ In the context of the CIIAM project (Contextual Information Inference for Argument Mining), funded through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence Université Côte d’Azur, aiming to enhance the robustness of argument mining techniques through the synthesis of contextual information relevant to multimodal aspects of communication. We invite doctoral candidates nearing completion of their thesis and young PhD graduates to apply for a postdoctoral position on "Improving Argument Mining through the Synthesis of Contextual Information" (12 months). -------- Context -------- Understanding argumentative structures in natural language inputs is a key step for many tasks in the field of Natural Language Processing (NLP), such as automatic summarization or analysis of political debates. Although significant progress has been made with the advent of pre-trained language models, they do not always grasp all the linguistic knowledge necessary for fine contextual understanding and the establishment of relevant inferences. Faced with these limitations, our project aims to explore the inclusion of linguistic analysis dimension related to pragmatics. This approach is particularly innovative because pragmatics, due to its complexity in formalization, has been scarcely studied from a computational perspective. It is through the use of the latest cutting-edge prompting techniques that we aim to overcome the pitfalls of existing methods, such as cultural variability and implicit knowledge. --------------- To Apply --------------- Detailed subject: https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Contract start: October 2024, at the latest Contract duration: 12 months Applications including a scientific CV, a motivation letter, and recommendation letters should be sent to Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Deadline: June 14, 2024 Hosting laboratory: I3S, Sophia-Antipolis, France * -- Anaïs OLLAGNIER Junior Fellow in AI 3IA Université Côte d'Azur (Polytech Nice) | I3S | INRIA wimmics team -------------------------------------------- Templiers 1, Bureau 414, 930 Route des Colles, BP 145 06903 Sophia Antipolis Cedex, France anais.ollagnier(a)inria.fr |https://aollagnier.github.io/

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Language Technologies and Digital Humanities Conference - JTDH 2024 (Ljubljana, Slovenia)
by Špela Arhar Holdt 12 Mar '24

12 Mar '24

The Language Technologies and Digital Humanities Conference - JTDH 2024 ( https://www.sdjt.si/wp/jtdh-2024-en/) is organized by the Slovenian Language Technologies Society, CLARIN.SI, DARIAH-SI and Centre for Language Resources and Technologies at the University of Ljubljana. This year, the conference's organizational committee is led by ZRC SAZU. The event is organized in collaboration with the Faculty of Electrical Engineering of the University of Ljubljana, which will host the event on September 19 and 20, 2024. The conference is thematically broad and aims to bring together researchers from various backgrounds and methodological frameworks. The main topics include but are not limited to: speech and other mono- and multilingual language technologies; digital linguistics: translation studies, corpus linguistics, lexicology and lexicography, standardisation; digital humanities and historical studies, ethnology, musicology, cultural heritage, archaeology, and fine arts; digital humanities in education and digital publishing. We are accepting submissions in the form of extended abstracts and full papers. We are also accepting full papers for the Student Session. Student papers can be submitted by students of all levels of university programmes and will be eligible for the best student paper award. All co-authors of student papers must be students. Submissions co-authored by students and their supervisors are welcome in the regular session. The full instructions for authors are given on the conference web page: https://www.sdjt.si/wp/jtdh-2024-en/. Two pre-conference events will be held on the 18th of September, 2024: The final stop of CLASSLA Express – a series of workshops on investigating South Slavic corpora using CLARIN.SI concordancers. A joint business meeting of the CLASSLA knowledge centre for South Slavic languages and the ReLDI Centre Belgrade. Important dates: March 1, 2024: First call for papers May 17, 2024: Deadline for abstract/paper submission July 5, 2024: Notification of acceptance August 23, 2024: Final abstract/paper submission August 23, 2024: Registration deadline September 18, 2024: Pre-conference events and workshops September 19 & 20, 2024: JTDH 2024 Conference in Ljubljana, Slovenia

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CALL FOR PAPERS: Special Issue Natural Language for Artificial Intelligence in the Era of LLMs
by Dominique Brunato 12 Mar '24

12 Mar '24

[Apologize for cross-posting] SPECIAL ISSUE: NATURAL LANGUAGE FOR ARTIFICIAL INTELLIGENCE IN THE ERA OF LLMS IJCoL - Italian Journal of Computational Linguistics, OpenEdition Journal, ISSN 2499-4553, https://www.ai-lc.it/en/journal/ [1] Manuscript Submission Deadline: 1ST JULY 2024 Latest Acceptance Deadline for all papers: 1ST OCTOBER 2024 ======================================================================== ########### GUEST EDITORS: ########### • Elisa Bassignana, IT University of Copenhagen (Denmark), https://elisabassignana.github.io/ [2] • Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC) (Italy), http://www.italianlp.it/people/dominique-brunato/ [3] • Marco Polignano, University of Bari Aldo Moro (Italy), https://marcopoli.github.io/ [4] • Alan Ramponi, Fondazione Bruno Kessler (Italy), https://alanramponi.github.io/ [5] ########### SPECIAL ISSUE INFORMATION: ########### The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP) and Artificial Intelligence (AI) in recent years. Transformer-based models such as GPT-3 and BERT have demonstrated remarkable capabilities in modeling and generating human-like text. These models have significantly impacted various applications, including machine translation, sentiment analysis, question answering, and more. The era of LLMs has opened up new opportunities and challenges in harnessing natural language for AI systems. The motivation behind this special issue is to provide a platform for researchers and practitioners to explore and discuss the latest advancements, methodologies, and applications of Natural Language for Artificial Intelligence in the Era of LLMs. The aim is to foster collaboration and knowledge sharing among the NLP and AI communities, enabling them to leverage LLMs effectively and ethically for solving real-world problems, as well as for tackling open research questions that contribute to a deeper understanding of the similarities and differences between human and machine learning. This special issue invites original research papers, reviews, and case studies that focus on utilizing LLMs in various natural language processing tasks and applications within the context of Artificial Intelligence. This is a natural extension of the topics covered in the NL4AI 2023 workshop at AIxIA 2023, where the primary focus of discussion among the many papers received was related to the use of LLMs to tackle many typical tasks in natural language understanding and generation. We invite researchers from both academia and industry to submit their cutting-edge research findings, unearthing novel insights and pushing the boundaries of knowledge. We hope to receive submissions not only from people attending NL4AI but also from researchers outside this ring to enrich the discourse with a broader spectrum of perspectives. ########### TOPICS: ########### Relevant topics for the proposed special issue include, but are not limited to: • Robustness and generalization of LLMs • Diversity and inclusion of LLMs • The role of linguistics in the era of LLMs • Benchmarking and evaluation of LLMs • Explainability and interpretability of LLMs through Computational Linguistics and related disciplines • Domain-specific applications of LLMs (e.g., healthcare, education, cultural heritage) • Knowledge representation and reasoning with LLMs • Machine translation and cross-lingual applications with LLMs • Applications to the Italian language and under-studied languages • Dialogue systems and conversational agents using LLms • Ethical and social implications of LLMs • Exploration of multimodality and data augmentation approaches in the era of LLMs ########### SUBMISSION INFORMATION: ########### Contributions will be processed as they are submitted no later than 1ST JULY, 2024. The latest acceptance deadline for all papers is 1ST OCTOBER, 2024. Submissions must be prepared according to the submission guidelines: • https://www.ai-lc.it/en/journal/instructions-for-authors/ [6] and must be submitted via the dedicated web page: • https://www.ai-lc.it/ijcolreview/index.php/ijcol/about/submissions • On the platform, select the menu option: “Special Issue: Natural Language for Artificial Intelligence in the Era of LLMs” The special issue will also consider extended versions (at least 30% new content) of papers published at conferences or on preprint platforms (i.e., arXiv.org). The Editors of the Journal will pre-screen all submitted articles. Articles that do not reach the scientific standards of the journal will be desk-rejected. Articles that meet the requirements will be sent to expert reviewers and will then be reviewed for publication. The peer-review procedure will involve two experts (or three, in the rare case of disagreement). IJCoL Editors avoid engaging reviewers who are close to – or have any sort of conflict of interest with – a given author. Referees may request a major or minor revision of the article. The final decision on acceptability is the Editors’ responsibility. For questions and further information, please contact the Guest Editors: Elisa Bassignana (elba(a)itu.dk), Dominique Brunato (dominique.brunato(a)ilc.cnr.it), Marco Polignano (marco.polignano(a)uniba.it), Alan Ramponi (alramponi(a)fbk.eu) More details will be provided at: https://www.ai-lc.it/en/journal/ [1] Link: ----- [1] https://www.ai-lc.it/en/journal/ [2] https://elisabassignana.github.io/ [3] http://www.italianlp.it/people/dominique-brunato/ [4] https://marcopoli.github.io/ [5] https://alanramponi.github.io/ [6] https://www.ai-lc.it/en/journal/instructions-for-authors/

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TextDetox 2024 Call for participants
by Daryna Dementieva 12 Mar '24

12 Mar '24

TextDetox CLEF 2024 We are glad to invite you to participate in the first of its kind multilingual Text Detoxification shared task! https://pan.webis.de/clef24/pan24-web/text-detoxification.html TL;DR Task formulation: transfer a text style from toxic to neutral (i.e. what a f**k is this about? -> what is this about?) 9 Languages: English, Spanish, Chinese, Hindi, Arabic, German, Russian, Ukrainian, and Amharic More details: Identification of toxicity in user texts is an active area of research. Today, social networks such as Facebook, Instagram are trying to address the problem of toxicity. However, they usually simply block such kinds of texts. We suggest a proactive reaction to toxicity from the user. Namely, we aim at presenting a neutral version of a user message which preserves meaningful content. We denote this task as text detoxification. In this competition, we suggest you create detoxification systems for 9 languages from several linguistic families. However, the availability of training corpora will differ between the languages. For English and Russian, the parallel corpora of several thousand toxic-detoxified pairs (as presented above) are available. So, you can fine-tune text generation models on them. For other languages, for the dev phase, no such corpora will be provided. The main challenge of this competition will be to perform both supervised and unsupervised cross-lingual detoxification. You are very welcome to test all modern LLMs on text detoxification and safety with our data as well as experiment with different unsupervised approaches based on MLMs or other paraphrasing methods! The final leaderboard will be built on a manual evaluation of a test set subset performed via crowdsourcing at Toloka.ai platform. In the end, you will have an opportunity to write and then present a paper at CLEF 2024 (https://clef2024.imag.fr/) which will take place in Grenoble, France! Important Dates February 1, 2024: First data available and run submission opens. April 22, 2024: Registration closes. May 6, 2024: Run submission deadline and results out. May 31, 2024: Participants paper submission. July 8, 2024: Camera-ready participant papers submission. September 9-12, 2024: CLEF Conference in Grenoble and Touché Workshop. On behalf of TextDetox Shared Task Organizers, Daryna Dementieva https://dardem.github.io/

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Free online taster session - 21 March
by Brezina, Vaclav 12 Mar '24

12 Mar '24

Hi all, It is still possible to register for a free taster session, which will introduce corpus linguistics and other training offered at Lancaster University as part of our flexible online programmes (2-year Master's, 1-year Postgraduate Certificate and 3-month specialization courses). When: Thursday 21 March 2024, 10:00am to 11:00am UK time https://www.lancaster.ac.uk/linguistics/events/study-online-corpus-linguist… Best, Vaclav

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32nd International Conference on Information Systems Development (ISD 2024): Track on Learning, Education, and Training
by Announce 12 Mar '24

12 Mar '24

================= CALL FOR PAPERS ================= Track on Learning, Education, and Training at the 32nd International Conference on Information Systems Development (ISD 2024) ISD is recognized as a premier international venue that brings together the fields of Information Systems, Software Engineering, and Data Science. The theme for ISD 2024 is "Harnessing Opportunities: Reshaping ISD in the Post-COVID-19 and Generative AI Era." August 26-28, 2024 Sopot/Gdansk, Poland https://isd2024.ug.edu.pl/call-for-papers/tracks/#track_6 ============ TRACK TOPICS OF INTEREST ============= ** Activity theory approaches to IS development education ** Computer-supported collaborative learning ** Creativity and innovation in IT-based education ** Curriculum development, including local implementation of AIS/IEEE/ACM curricula ** Digital literacy ** IS Education Managementa ** Generative AI Assistants in IS Education ** Educational systems design, development, and evaluation ** HCI issues in IS development for education ** Instructional design ** Integrated IS application in education ** IS for online education ** Learning platforms: mobile apps, MOOC ** Longitudinal and comparative studies of learning ** Open educational resources in IS development education ** Serious games, gamification, and virtual worlds for learning ** Social and crowd computing in educational contexts ** Social media and learning ** Socio-constructivism in IS development education ** User-generated content in IS development education ** Work-integrated learning =============== IMPORTANT DATES =================== Paper Submission: April 16, 2024 Author Notification: June 4, 2024 Final Paper Submission: June 30, 2024 =============== CONFERENCE FEES =================== The registration fee for presenting authors is 500 EUR, with a 100 EUR discount for active AIS members and students. Discounts apply for additional papers and non-presenting participants. The registration fee includes lunch, coffee breaks, welcome reception and a gala dinner. =============== TYPES OF SUBMISSION =============== ** Full research papers: 12 pages ** Short research papers: 8 pages ** Posters: 4 pages ** Journal-First papers The ISD Proceedings will be available as open access in the Association for Information Systems (AIS) eLibrary. Additionally, Springer will publish a selection of the best papers (by invitation) as a separate volume of the Lecture Notes in Information Systems and Organization (LNISO) series. The proceedings will be submitted for indexation by Scopus, Google Scholar, DBLP, Semantic Scholar, and Web of Science. We are looking forward to receiving your contributions! Muhammad Ovais Ahmad, Karlstad University, Sweden Georgia Kapitsaki, University of Cyprus, Cyprus

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[CFP] Shared Task on Text-Graph Representations for KGQA @TextGraphs-17 @ACL 2024
by xi.yan＠uni-hamburg.de 12 Mar '24

12 Mar '24

*Venue*: ACL 2024, TextGraph workshop *Website*: https://sites.google.com/view/textgraphs2024/home/shared-task TextGraph-17 workshop co-located with ACL-2024 features a shared task. TextGraph fosters the investigation of synergies between methods for text and graph processing. This edition focuses on the fusion of LLMs with KGs. In line with this goal, we propose a shared task on Text-Graph Representations for Knowledge Graph Question Answering (KGQA). The shared task is to select a KG entity (out of several candidates) that corresponds to an answer given a textual question. The specificity of the task is that for each question-answer (Q-A) pair not only a textual Q-A pair is given but also a graph of shortest paths in the KG from entities in the query to the LLM-generated candidate entity (including links of the intermediate nodes). This way, participants easily may experiment with various strategies of text-graph modality fusion for the given task in a controllable manner. Participants can submit reports about their participation to the TextGraphs workshop. An example of a previous TextGraphs shared task can be found here: https://aclanthology.org/volumes/2022.textgraphs-1/. *Task Description* Participants are given: - text: question with a list of Wikidata entities mentioned, - text: 5-10 answer candidates in the form of Wikidata entities, - graph: a Wikidata sub-graph composed of the shortest paths between entities in question and entities in answer is provided. One of the candidates is correct, others are incorrect. The goal is to find the correct answer ie. perform a binary classification. Participants are provided a train and development dataset in the form of Q-A-Subgraph triples. Besides, a submission to Codalab public and private leaderboard of the test set Q-A solutions will be available. Examples of visualization for the question "Who was formerly an actor and now a Republican senator?" can be found on our challenge website (https://sites.google.com/view/textgraphs2024/home/shared-task). The participants are provided both textual labels of candidates and such graphs so additional features can be extracted from them, such as graph density, length of paths, textual labels on the paths, etc. * Important Dates* - Training dataset released: 10th March 2024 - Test set released: 25 March 2024 - End of evaluation: 25 April 2024 - Submission deadline for technical reports: 17 May 2024 Contact Please write all questions about the shared task to textgraphs17(a)googlegroups.com. Also, you are invited to join our Telegram group where you can connect to organizers and get updates: https://t.me/+kRTCZYTrpJ5jZGVi Organizers: Irina Nikishina, Universität Hamburg Aida Usmanova, Leuphana University Lüneburg Angelie Kraft, Universität Hamburg Cedric Möller, Universität Hamburg Debayan Banerjee, Universität Hamburg Junbo Huang, Universität Hamburg Longquan Jiang, Universität Hamburg Rana Abdullah, Universität Hamburg Xi Yan, Universität Hamburg Andrey Sakhovskiy, KFU Elena Tutubalina, KFU Mikhail Salnikov, AIRI Alexander Panchenko, AIRI Ricardo Usbeck, Universität Hamburg Xi Yan and Cedric Möller, On behalf of the Organizing Committee

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Corpora