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2nd Call for Abstracts: the 34th Meeting on Computational Linguistics in the Netherlands, Leiden University
by Wijnholds, G.J. (Gijs) 19 Apr '24

19 Apr '24

Dear colleague, This is the second call for abstracts for the 34th Meeting of Computational Linguistics in The Netherlands (CLIN34), that will take place in Leiden on Friday 30 August 2024. Abstracts describing work on any aspect of computational linguistics / natural language processing (finished or in progress), are welcome. Submissions must be written in English and must be submitted through this web form<https://docs.google.com/forms/d/1G2Ee1LUfQdmh2xQz8T46YcR1BXUMuB4q4iuAKq9sp8Q>. Please provide all information requested in the form. The submission deadline is May 15th 2023 and notifications of acceptance will be sent out on June 15th 2023. Authors of accepted abstracts will have the opportunity to submit a full paper after the conference to CLIN Journal. Please visit the CLIN34 website<https://clin34.leidenuniv.nl/> for more info on the event. We look forward to your abstract! The CLIN34 organizers Leiden University

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[CfP] SEMANTiCS 2024 EU || Extended Submission Deadline May 6, 2024
by SEMANTiCS 19 Apr '24

19 Apr '24

Dear all, due to several requests we decided to extend the deadlines for the R&I track. The new dates are as follows: Abstract Submission Deadline: May 6, 2024 Paper Submission Deadline: May 13, 2024 All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12) Submission via Easychair on https://easychair.org/my/conference?conf=sem24 <https://easychair.org/my/conference?conf=sem24>. For details please go to: https://2024-eu.semantics.cc/page/cfp_rev_rep <https://2024-eu.semantics.cc/page/cfp_rev_rep> We strongly encourage early-career female AI researchers, especially doctoral students, to attend this year's SEMANTiCS conference, for which we are offering travel grants to support their participation. Looking forward to your submissions! Stay tuned and stay safe! With kind regards, Mehwish Alam, Angelo Salatino & Femke Ongenae -- R&I Track Chairs --

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Invitation to the Third Ukrainian NLP Workshop
by Mariana Romanyshyn 19 Apr '24

19 Apr '24

We warmly welcome you to attend the third Ukrainian Natural Language Processing Workshop (UNLP 2024 <https://unlp.org.ua/>), held in conjunction with LREC-COLING 2024 <https://lrec-coling-2024.org/>! *When: *May 25, 2024, 9:00 AM to 6:00 PM CET, in a hybrid format *What to expect:* - amazing keynote speakers — Ivan Vulić <https://scholar.google.be/citations?user=ZX8js60AAAAJ> (University of Cambridge), Vasyl Starko <https://scholar.google.be/citations?hl=uk&user=n3oDJtUAAAAJ> (Ukrainian Catholic University), and Andriy Rysin <https://www.linkedin.com/in/andriy-rysin-33a5161/> (Independent Researcher) - the latest datasets and tools for processing Ukrainian - findings from our shared task on Fine-Tuning LLMs for Ukrainian <https://github.com/unlp-workshop/unlp-2024-shared-task> - a comprehensive lineup of presentations about innovative uses of LLMs in the Ukrainian context - and much more! The full workshop program is available at https://unlp.org.ua/program/. *Registration* The General Chairs kindly offer free registration for the *remote* participation of people based in Ukraine! Register at https://forms.gle/bqrfP99GCTUnYLSC9. For non-Ukrainian folks, we welcome you to register through https://lrec-coling-2024.org/. Early bird is *by April 20*. *Like and Share* - X <https://x.com/UNLP_workshop/status/1780923178006544464> - Telegram <https://t.me/UNLP_workshop> - Facebook <https://www.facebook.com/UNLPworkshop/posts/pfbid02dcbzfLyiCGyBs4zCjToHX2C6…> - LinkedIn <https://www.linkedin.com/posts/mariana-romanyshyn-b5896529_unlp-2024-regist…>

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Call for papers : The Third International Conference on Language Processing and Knowledge Management (LPKM'2024)
by Wajdi Zaghouani 19 Apr '24

19 Apr '24

The ANLP Research Group of MIRACL Laboratory at FSEGS, University of Sfax, Tunisia, announces the 3rd edition of the Language Processing and Knowledge Management (LPKM) international conference. LPKM 2024, to be held at FSEG Sfax from June 3rd to 5th, 2024, brings together leading experts, researchers, and practitioners in Artificial Intelligence, Machine Learning, Natural Language Processing, Blockchain, IoT, and related fields. This event serves as a platform to explore cutting-edge advancements, foster interdisciplinary collaborations, and address key challenges in language processing, knowledge management, and intelligent systems. The conference is organized in a Hybrid mode, which allows for both on-site paper presentations and online presentations. CALL FOR PAPERS LPKM 2024 invites researchers to submit original research contributions in all major areas, which include, but not limited to: Machine learning, Deep Learning, Data Mining, Big Data, Statistical Analysis, Knowledge processing, Semantic Web, Computational methods applied to language & text processing, Text classification, Document clustering, Machine translation, Text-to-speech (TTS) and speech-to-text (STT) methods, Authorship identification and verification, Author profiling, Plagiarism detection, Knowledge extraction and retrieval from text, Sentiment analysis, NLP applications, Resources, and corpora, Chatbots, Text generation, Artificial Intelligence and Machine Learning, Formal methods, Blockchain, Cloud Computing, IT security, Knowledge engineering and ontologies, Parallel and distributed computing (IoT and sensor networks), Service engineering, Adaptive distributed applications, Multimedia, computer vision and image processing. DEADLINES Paper submission: May 10, 2024 Notification of acceptance: May 19, 2024 Camera ready paper: May 25, 2024 LPKM Conference: June 03-05, 2024 at FSEGS, University of Sfax, Tunisia PAPER SUBMISSION Authors should submit their papers in PDF format via the CMT conference management system: https://cmt3.research.microsoft.com/LPKM2024 The total length of a paper should not exceed 10 pages (including tables, figures, and references) and formatted according to Springer LNCS style. Submitted papers should be written in English and describe original work that has not previously been published or submitted for publication elsewhere. Papers will be reviewed on the basis of relevance, originality, importance, and clarity. PUBLICATION Proceedings will be submitted to CEUR-WS.org for on-line publication and indexed in DBLP. For any information, please consult the website: https://sites.google.com/view/lpkm-2024 Contact of the organizing committee: lpkm2024(a)gmail.com

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Second CfP: The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024)
by Pablo Gamallo 18 Apr '24

18 Apr '24

The EPIA Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024) Important date: Paper submission deadline: April 30, 2024 The EPIA Conference on Artificial Intelligence (AI) is a well-established European conference in the field of AI. The 23st edition, EPIA 2024, will take place in Viana do Castelo from 3th to 6th of September, 2024. As in previous editions, this international conference is hosted with the patronage of the Portuguese Association for Artificial Intelligence (APPIA). The Track of Natural Language, Text Mining and Applications (NLP-TeMA 2024) of EPIA is a forum for researchers working in Human Language Technologies, i.e. Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR), and related areas. The most natural form of sharing knowledge is indeed through textual documents. Especially on the Web, a huge amount of textual information is openly published every day, on many different topics and written in natural language, thus offering new insights and many opportunities for innovative applications of Human Language Technologies. Following advances in general AI sub-fields such as NLP, Machine Learning (ML) and Deep Learning (DL), text mining is now even more valuable as tool for bridging the gap between language theories and effective use of natural language contents, for harnessing the power of semi-structured and unstructured data, and to enable important applications in real-world heterogeneous environments. Both hidden and new knowledge can be discovered by using NLP and Text Mining methods, at multiple levels and in multiple dimensions, and often with high commercial value. Topics of Interest Natural Language Processing: Language and Cognitive Modeling Tagging, Chunking and Parsing Morphology and Word Segmentation Natural Language Generation Discourse and Pragmatics Sentence-level Semantics and Text Inference Language Resources: Acquisition and Usage. Lexical Knowledge Acquisition Entailment and Paraphrases Entity Recognition and Word Sense Disambiguation Natural Language Understanding Language Modeling Mathematical Properties of Language NLP for Low-Resource Languages Text Mining and Applications: Text Clustering, Classification and Summarization Sentiment Analysis and Argument Mining Computational Social Science Multi-Word Units Machine Learning for NLP and Text Mining Spatio-Temporal and Big Text Mining Cross-Lingual Approaches Algorithms and Data Structures for Text Mining Information Retrieval and Information Extraction Question-Answering and Dialogue Systems Text-Based Prediction and Forecasting Web Content Annotation Health/Biomedical/Legal and other Text Mining Applications The Track Organizing Committee: Joaquim Silva Pablo Gamallo Irene Rodrigues Paulo Quaresma Alípio Jorge Joaquim Ferreira da Silva Departamento de Informática, Nova School of Science and Technology, Quinta da Torre, 2829-516 Caparica, Portugal. Tel: +351 21 294 8536 ext. 10732 Fax; +351 21 294 8541; e-mail: jfs(a)fct.unl.pt

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PhD position: computational approaches to Narrative in Argumentation (1.0 FTE)
by Pianzola, Federico 18 Apr '24

18 Apr '24

Fully-funded 4-year PhD position in the field of Computational Linguistics, focusing on the intricate relationship between narratives and argumentation in various domains (social media, fiction, news). University of Groningen, Netherlands *Deadline: 5 May 2024 11:59pm CET* More info at the link below: https://www.rug.nl/about-ug/work-with-us/job-opportunities/?details=00347-0… -- Kind regards, Federico Pianzola University of Groningen

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LPKM'2024 Call for papers : The Third International Conference on Language Processing and Knowledge Management
by Lamia Hadrich Belguith 18 Apr '24

18 Apr '24

************************************ Call for papers ************************ LPKM 2024 The 3rd International Conference on Language Processing and Knowledge Management June 03-05, 2024, University of Sfax, Tunisia https://sites.google.com/view/lpkm-2024 ABOUT LPKM The ANLP Research Group of MIRACL Laboratory at FSEGS, University of Sfax, Tunisia, announces the 3rd edition of the Language Processing and Knowledge Management (LPKM) international conference. LPKM 2024, to be held at FSEG Sfax from June 3rd to 5th, 2024, brings together leading experts, researchers, and practitioners in Artificial Intelligence, Machine Learning, Natural Language Processing, Blockchain, IoT, and related fields. This event serves as a platform to explore cutting-edge advancements, foster interdisciplinary collaborations, and address key challenges in language processing, knowledge management, and intelligent systems. The conference is organized in a Hybrid mode, which allows for both on-site paper presentations and online presentations. CALL FOR PAPERS LPKM 2024 invites researchers to submit original research contributions in all major areas, which include, but not limited to: Machine learning, Deep Learning, Data Mining, Big Data, Statistical Analysis, Knowledge processing, Semantic Web, Computational methods applied to language & text processing, Text classification, Document clustering, Machine translation, Text-to-speech (TTS) and speech-to-text (STT) methods, Authorship identification and verification, Author profiling, Plagiarism detection, Knowledge extraction and retrieval from text, Sentiment analysis, NLP applications, Resources, and corpora, Chatbots, Text generation, Artificial Intelligence and Machine Learning, Formal methods, Blockchain, Cloud Computing, IT security, Knowledge engineering and ontologies, Parallel and distributed computing (IoT and sensor networks), Service engineering, Adaptive distributed applications, Multimedia, computer vision and image processing. DEADLINES Paper submission: May 10, 2024 Notification of acceptance: May 19, 2024 Camera ready paper: May 25, 2024 LPKM Conference: June 03-05, 2024 at FSEGS, University of Sfax, Tunisia PAPER SUBMISSION Authors should submit their papers in PDF format via the CMT conference management system: https://cmt3.research.microsoft.com/LPKM2024 The total length of a paper should not exceed 10 pages (including tables, figures, and references) and formatted according to Springer LNCS style. Submitted papers should be written in English and describe original work that has not previously been published or submitted for publication elsewhere. Papers will be reviewed on the basis of relevance, originality, importance, and clarity. PUBLICATION Proceedings will be submitted to CEUR-WS.org for on-line publication and indexed in DBLP. For any information, please consult the website: https://sites.google.com/view/lpkm-2024 Contact of the organizing committee: lpkm2024(a)gmail.com -- _____________________________________________________________ www.fsegs.tn www.univ-sfax.tn *Prof. Dr. Lamia Hadrich Belguith* Directrice de l'Ecole Doctorale EGI de la FSEGS Chef de l'équipe de recherche ANLP-RG du laboratoire MIRACL https://sites.google.com/site/anlprg/ Présidente de la commission des thèses et d'habilitations en Informatique de la FSEGS (2015-2023) Responsable du mastère de recherche SINT de la FSEGS Présidente de la commission nationale de recrutement des maîtres de conférences en Informatique de Gestion Membre du conseil scientifique de la FSEGS (2022) Membre du conseil scientifique du laboratoire MIRACL Email : lamia.belguith(a)fesgs.usf.tn <lamia.belguith(a)gmail.com> ResearchGate: Lamia Hadrich Belguith Site Web : https://sites.google.com/site/lamiahadrich/ DBLP : https://dblp.org/pid/59/1682.html <https://dblp.org/pid/59/1682.html> ORCID ID : https://orcid.org/0000-0002-4868-657X Google Scholar : https://scholar.google.com/citations?user=0qVRSRYAAAAJ&hl=en Web of Science Researcher ID: GWU-9641-2022 Adresse : FSEGS, B.P. 1088, 3018 Sfax, Tunisie ___________________________________________________________-

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One week to go -- Call for Submissions to SIGIR 2024 Workshop on Information Retrieval for Climate Impact
by Maarten de Rijke 18 Apr '24

18 Apr '24

TL;DR: Help to shape research agenda for IR for climate impact: * 2-4 pages * One week until deadline: April 25, 2024 (AOE) * Workshop: https://sites.google.com/view/ir-for-climate-impact/home * Submission: https://easychair.org/conferences/?conf=manila24 - - - - - - - - Call for Submissions — SIGIR 2024 Workshop on Information Retrieval for Climate Impact Climate change is a far-reaching, global phenomenon that will impact many aspects of our society. The evidence base for observed climate impacts is expanding, and the wider climate literature is growing exponentially. How can effective access be provided to the growing body of peer-reviewed literature on climate change impact? Purpose The emphasis will be on discussion, not a mini-conference but a dynamic sharing of ideas. The workshop will be organized along four areas of interest: (i) Information needs in climate impact; (ii) Search and analysis of formal literature for climate impact; (iii) Search and analysis of informal publications for climate impact; and (iv) Resources to support IR for climate impact. During the workshop, we will work towards creating actionable technical research agendas for each of them. Call for contributions To help shape a research agenda for information retrieval for climate impact, we welcome technical contributions and position papers as extended abstracts (2-4 pages) on a wide range of topics related to information retrieval for climate impact, including but not limited to very large-scale systematic reviews, climate language models, geolocated literature with climate information, evidence synthesis. Be sure to emphasize how your ideas connect to IR for climate impact and the ambition to create an agenda on the topic. Important dates - April 25, 2024: Extended abstracts due (AOE) - May 23, 2024: Notifications - July 18, 2024: Workshop at SIGIR 2024 - December 1, 2024: Submission of the Information Retrieval for Climate Impact Agenda for publication in SIGIR Forum How to submit Extended abstracts submitted to the workshop should be in English, in PDF, and formatted using the standard ACM sigconf format (using \documentclass[sigconf, natbib=true, anonymous=false]{acmart}). The review process is single-blind. The workshop uses EasyChair to handle submissions: https://easychair.org/conferences/?conf=manila24. No official proceedings will be published. Organization Bart van den Hurk (IPCC), Maarten de Rijke (U. Amsterdam), Flora Salim (UNSW, Sydney) Workshop site https://sites.google.com/view/ir-for-climate-impact/home Contact manila24(a)easychair.org<mailto:manila24@easychair.org> -- Maarten de Rijke Distinguished University Professor AI & IR University of Amsterdam http://staff.fnwi.uva.nl/m.derijke

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Edge Hill Corpus Research Group – Meeting #12
by Costas Gabrielatos 17 Apr '24

17 Apr '24

The next meeting of the Edge Hill Corpus Research Group will take place online (via MS Teams) on Thursday 25 April 2024, 2:00-3:30 pm (UK time). Attendance is free. You can register here: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Topics: Corpus Methodology, Large Language Models Speakers: Sylvia Jaworska<https://www.reading.ac.uk/elal/staff/dr-sylvia-jaworska> (University of Reading, UK) & Mathew Gillings<https://www.wu.ac.at/ebc/about-us/team/mathew-gillings/> (Vienna University of Economics and Business, Austria) Title: How humans vs. machines identify discourse topics: an exploratory triangulation Abstract Identifying discourses and discursive topics in a set of texts has not only been of interest to linguists, but to researchers working across social sciences. Traditionally, these analyses have been conducted based on small-scale interpretive analyses of discourse which involve some form of close reading. Naturally, however, that close reading is only possible when the dataset is small, and it leaves the analyst open to accusations of bias and/or cherry-picking. Designed to avoid these issues, other methods have emerged which involve larger datasets and have some form of quantitative component. Within linguistics, this has typically been through the use of corpus-assisted methods, whilst outside of linguistics, topic modelling is one of the most widely-used approaches. Increasingly, researchers are also exploring the utility of LLMs (such as ChatGPT) to assist analyses and identification of topics. This talk reports on a study assessing the effect that analytical method has on the interpretation of texts, specifically in relation to the identification of the main topics. Using a corpus of corporate sustainability reports, totalling 98,277 words, we asked 6 different researchers, along with ChatGPT, to interrogate the corpus and decide on its main ‘topics’ via four different methods. Each method gradually increases in the amount of context available. • Method A: ChatGPT is used to categorise the topic model output and assign topic labels; • Method B: Two researchers were asked to view a topic model output and assign topic labels based purely on eyeballing the co-occurring words; • Method C: Two researchers were asked to assign topic labels based on a concordance analysis of 100 randomised lines of each co-occurring word; • Method D: Two researchers were asked to reverse-engineer a topic model output by creating topic labels based on a close reading. The talk explores how the identified topics differed both between researchers in the same condition, and between researchers in different conditions shedding light on some of the mechanisms underlying topic identification by machines vs humans or machines assisted by humans. We conclude with a series of tentative observations regarding the benefits and limitations of each method along with suggestions for researchers in selecting an analytical approach for discourse topic identification. While this study is exploratory and limited in scope, it opens up a way for further methodological and larger scale triangulations of corpus-based analyses with other computational methods including AI. If you have any questions, please contact the organiser, Costas Gabrielatos (gabrielc(a)edgehill.ac.uk<mailto:gabrielc@edgehill.ac.uk>) ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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[CFP] 2nd Call for Participation - ISWC-LLMs4OL 2024 Challenge: Large Language Models for Ontology Learning
by Jennifer D'Souza 17 Apr '24

17 Apr '24

[apologies if you received multiple copies of this call] Dear colleagues and friends, *We are pleased to release the 2nd Call for Participation - LLMs4OL Challenge collocated with The International Semantic Web Conference (ISWC 2024)* *Overview:* LLMs4OL stands for "Large Language Models for Ontology Learning." The LLMs4OL paradigm was first introduced in our research paper ( https://link.springer.com/chapter/10.1007/978-3-031-47240-4_22) published in the ISWC 2023 main conference proceedings. In this context, we aimed to test the readiness of LLMs to address the Ontology Learning (OL) task w.r.t. three main subtasks: 1) Term Typing, 2) Type Taxonomy Discovery, and 3) Non-Taxonomic Relation Extraction. Therein our evaluations included ontolgies from various knowledge domains, i.e. lexicosemantics (WordNet), geography (GeoNames), biomedicine (NCI, MEDICIN, SNOMEDCT), and web content types (schema.org). With the ISWC-LLMs4OL 2024 challenge, we aim to catalyze community-wide engagement in validating and expanding the use of LLMs in OL by releasing our evaluation datasets publicly in the community. This initiative is poised to advance our comprehension of LLMs’ roles within the Semantic Web, encouraging innovation and collaboration in developing scalable and accurate OL methods. More info on the task website: https://sites.google.com/view/llms4ol/ The LLMs4OL Challenge will be divided into two evaluation phases: - Evaluation Phase 1: Few-shot Testing; - Evaluation Phase 2: Zero-shot Testing *Dates* Training datasets available: March 30, 2024 Test data available (Task A): May 27, 2024 Evaluation ends (Task A): June 4, 2024 Test data available (Tasks B & C): June 5, 2024 Evaluation ends (Tasks B & C): June 18, 2024 Participant papers due: June 28, 2024 Notification to authors: July 19, 2024 Camera ready due: July 30, 2024 ISWC 2024, Baltimore, Maryland, USA: 11-15 November 2024 *Task Organizers* Hamed Babaei Giglou (TIB Leibniz Information Centre for Science and Technology - Germany) Jennifer D’Souza (TIB Leibniz Information Centre for Science and Technology - Germany) Sören Auer (TIB Leibniz Information Centre for Science and Technology - Germany) We look forward to having you on board! *Contact:* llms4ol.challenge [at] gmail.com

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