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CARI 2024 - Digital Science in Africa - SUBMISSION DATE EXTENDED to April 30
by Mathieu ROCHE 05 Apr '24

05 Apr '24

======================================================== CARI 2024 - 23-26 november 2024, Bejaïa, Algeria African Conference on Research in Computer Science and Applied Mathematics - Digital Science in Africa https://www.cari-info.org/call-cari2024-2/ ======================================================== Paper Submission DEADLINE EXTENDED ==== IMPORTANT DATES ==== - Paper submission due: April 30th, 2024 (Firm deadline) - Notifications: July 12th 2024 - Camera ready paper due: July 31st, 2024 - CARI Conference: 23-26 November, 2024, University of Bejaia, Algeria ==== ABOUT CARI ==== CARI (http://www.cari-info.org/), the African Conference on Research in Computer Science and Applied Mathematics, is the fruit of international cooperation between African, European and international research institutes. Organized every two years since its first edition in Yaoundé in 1992, CARI is more than just a scientific meeting, but a dynamic environment for cooperation that brings together researchers and decision-makers in the fields of computer science and applied mathematics. The scientific program, which reflects the richness and diversity of research carried out on the African continent in particular, focuses on work likely to contribute to scientific and technological development, environmental awareness and natural resource management. CARI 2024 (17th CARI) is organized under the auspices African Society in Digital Science (ASDS) in partnership with the Institut national de recherche en sciences et technologies du numérique (Inria), the Institut de Recherche pour le Développement (IRD), the Centre de coopération Internationale en Recherche Agronomique pour le Développement (CIRAD). *** Computer Science Track *** Topics in this track include, but not limited to the following fields: - Edge, Fog and Cloud Computing Systems - Internet of Things (IoT) - Cyber-Physical Systems (CPS) - Blockchain Technology - Safety and Correctness of Concurrent and - Distributed Systems - Network Privacy and Security - National Information Security - Big Data and Data Science - Machine Learning and Artificial Intelligence Systems - (Large) Model languages - Natural Language Processing - Information Search and Retrieval - Knowledge Engineering - Ontologies and Semantics - Multi-agent Systems - Mobile and Wireless Networking - Service-Oriented Systems - Applications: Resource Management (energy, water, air quality, waste management, ...), Healthcare, Transportation, Smart Grids, Education, Social Networks, Agriculture, Smart Cities, E-Government, ... *** Applied Mathematics Track *** Topics in this track include, but not limited to the following fields: - Analysis of Dynamical Systems - Partial Differential Equations - Numerical Analysis - Optimization, Inverse Problems and Control - Stochastic Systems - Applied Statistics and Probability - Image and Signal Processing - Mathematics and Machine Learning - High Performance Scientific Computation - Mathematical Modelling - Mathematical Finance - Actuarial Science and Economy - Earth Sciences and Environment - Mathematical Biology, Ecology and Medicine *** Publication *** CARI 2024 accepts submissions in three categories: - Regular research papers, up to 14 pages in length (excluding references). - Work-in-progress papers on early results, up to 7 pages in length (excluding references). - Position papers on introducing new or disruptive ideas (supported, if possible, by empirical evidence and measurements) that differ from prior published work, up to 7 pages in length (excluding references). Papers must be submitted electronically in PDF format through EasyChair using the LNCS format (version 2.20 or above). At least one author of each accepted paper must attend the conference and present the paper. All accepted papers will be published in the Springer LNCS series and made available through the SpringerLink Digital Library (indexed by Scopus, ACM Digital Library, dblp, Google Scholar). Selected papers of CARI'2024 will be considered for a submission of extended versions to the ARIMA Journal. ======= For additional information, visit the conference website: https://www.cari-info.org/call-cari2024-2/ Contact TPC Chair: Kamel Barkaoui, kamel.barkaoui(a)cnam.fr

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2024 NARNiHS Research Incubator
by NAm Research Network in HistSocio 05 Apr '24

05 Apr '24

Dear colleagues, The 2024 Research Incubator of the North American Research Network in Historical Sociolinguistics (NARNiHS) will take place entirely online April 25-27. The full program is now available on our website: narnihs [dot] org/?page_id=2728 Note that NO registration is necessary for NARNiHS members to attend the fully online NARNiHS 2024. Conference access information will be sent to all NARNiHS members in a separate message as we get closer to the conference dates (25-27 April 2024). The NARNiHS Research Incubator offers a rich environment for the exploration of new approaches to theory, methodology, and analytical protocols in historical sociolinguistics. One of the novelties this year is a Roundtable that will take place at the end of the conference. The Roundtable will be moderated by DONALD TUTEN (Emory University), and it will include a total of four short presentations on the present and future directions in Historical Sociolinguistics. Guest Speakers are TERTTU NEVALAINEN (University of Helsinki), GIJSBERT RUTTEN (Leiden University), JOSEPH SALMONS (University of Wisconsin-Madison), and ISRAEL SANZ-SÁNCHEZ (West Chester University). Please join us and contribute to the invigorating discussion and brainstorming of fresh ideas in historical sociolinguistics. We look forward to seeing you at our panels! Not a member yet, but interested in joining NARNiHS? Membership is free! Check out https://narnihs [dot] org/?page_id=2 <https://narnihs.org/?page_id=2> for details on how to join NARNiHS. Kind regards, The 2024 NARNiHS Research Incubator Organizing Committee Carolina Amador-Moreno Sandrine Tailleur Kelly Wright

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CALL FOR PAPERS: Deep Learning and Large Language Models for Knowledge Graphs (DL4KG)
by Genet Asefa Gesese 05 Apr '24

05 Apr '24

--------------------------------------------------------------------------------- The 7th Edition of Workshop on Deep Learning and Large Language Models for Knowledge Graphs (DL4KG), August 25 or 26, 2024 Web: https://genetasefa.github.io/dl4kg2024/ Twitter: @dl4kg1 --------------------------------------------------------------------------------- In conjunction with KDD 2024, Aug 25 - Aug 29, --------------------------------------------------------------------------------- Workshop Overview --------------------------------------------------------------------------------- Over the past years, there has been a rapid growth in the use and importance of Knowledge Graphs (KGs) along with their application to many important tasks. KGs are large networks of real-world entities described in terms of their semantic types and their relationships to each other. On the other hand, Deep Learning methods have also become an important area of research, achieving some important breakthroughs in various research fields, especially Natural Language Processing (NLP) and Computer Vision. In order to pursue more advanced methodologies, it has become critical that the communities related to Deep Learning, Knowledge Graphs, and NLP join forces in order to develop more effective algorithms and applications. This workshop, in the wake of other similar efforts at previous Semantic Web conferences such as ESWC 2018 as DL4KGs and ISWC 2018, ESWC 2019, ESWC 2020, ISWC 2021, ISWC 2022, and ISWC 2023 aims to reinforce the relationships between these communities and foster inter-disciplinary research in the areas of KG, Deep Learning, and Natural Language Processing. --------------------------------------------------------------------------------- Topics of Interest --------------------------------------------------------------------------------- LLMs and Knowledge Graphs - Knowledge Base Construction using LLMs - Knowledge Graphs to improve the quality of LLMs - Question Answering exploiting LLMs and Knowledge Graphs (such as Retrieval Augmented Generation) - Hybrid LLMs-KG models (cross-attention, joint training,...) - Knowledge-Based fact-checking for LLMs New Approaches for Combining Deep Learning, LLMs, and Knowledge Graphs - Methods for generating Knowledge Graph (node) embeddings - Temporal Knowledge Graph Embeddings - KGs for Interoperability and Explainability - Recommender Systems leveraging Knowledge Graphs - Link Prediction and completing KGs - Ontology Learning and Matching exploiting Knowledge Graph Embeddings - Knowledge Graph-Based Sentiment Analysis - Natural Language Understanding/Machine Reading - Question Answering exploiting Knowledge Graphs and Deep Learning - Approximate query answering on knowledge graphs - Trend Prediction based on Knowledge Graphs Embeddings - Learning Representations from Graphs (Graph Neural Networks, Graph Convolutional Networks, etc.) Applications of combining Deep Learning, LLMs, and Knowledge Graphs - Domain Specific Applications (e.g., Scholarly, Biomedical, Cultural Heritage, etc.) - Applications in industry 4.0. - Knowledge Graph Alignment - Applying to real-world scenarios Applications to particular domains such as Cultural Heritage, Materials Sciences, Biomedical domain, Scholarly data, etc. ------------------------------------------------------------------------------------ Important Dates ------------------------------------------------------------------------------------ - May 20, 2024: Abstract submission deadline - May 28, 2024: Full and Short paper submission deadline - June 28, 2024: Notification of Acceptance - July 05, 2024: Camera-ready paper due - August 25 or 26, 2024: KDD Workshop day ------------------------------------------------------------------------------------ Submissions ------------------------------------------------------------------------------------ Full research papers (8-10 pages) Short research papers (4-7 pages) Papers are submitted in PDF format via the workshop’s Open Review submission pages (-- ). Accepted papers (after a blind review of at least 3 experts) will be published by CEUR-WS (single column). At least one of the authors of the accepted papers must register for the workshop (pre-conference only option) to be included in the workshop proceedings. --------------------------------------------------------------------------------- Organization --------------------------------------------------------------------------------- - Mehwish Alam, Telecom Paris, Institut Polytechnique de Paris, France - Davide Buscaldi, LIPN, University Sorbonne Paris Nord, France - Michael Cochez, Vrije University of Amsterdam, the Netherlands - Genet Asefa Gesese, FIZ Karlsruhe, KIT, Germany - Francesco Osborne, Knowledge Media Institute, (KMi), The Open University, UK - Diego Reforgiato Recupero, Department of Mathematics and Computer Science, University of Cagliari, Italy

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Fully funded research visits at the University of Sheffield applying NLP to archaeological data
by Diana G Maynard 05 Apr '24

05 Apr '24

Dear all As part of the new EU ATRIUM project we have opportunities for short-term fully funded research visits to work on development and application of NLP methods and tools to archaeological data. We have models, tools and data available for you to use. Visitors must come from an organisation outside the UK. For more information and applications, please visit https://atrium-research.eu/travel-grants/ Diana Maynard Senior Research Fellow Computer Science Dept. University of Sheffield, UK Transnational Access Grants: Calls for Applications The ATRIUM project invites researchers to apply to participate in Transnational Access training visits to support their research. ATRIUM’s Transnational Access (TNA) scheme offers researchers the possibility to apply for a fully funded placement at several different partner organisations to access expert knowledge and advice from leading Data Management organisations across Europe. The TNA scheme aims to recruit and support approximately 200 Arts and Humanities researchers with mentorship and access to knowledge, data and tools from 14 different institutions across Europe. Researchers who are successful in their applications will be supported to visit the infrastructure providers in our consortium in person, benefiting from direct contact, knowledge sharing and network building. In total, 388 weeks of Transnational Access will be provided during the ATRIUM project. There are two types of types of TNA applications: Individual Access – These are individual applications based on a specific research topic proposed by the applicant that match the specialisms of the host organisation. Summer School Access – These are fixed events during the year that provide access for a group of researchers based on a set of predetermined specialised topics. The first collection date is 31 May, 2024, and applicants will be notified by 28 June, 2024. Calls for applications will be issued several times per year throughout the duration of the project (March 2024 to December 2028). Individual Access applications will be offered on a rolling basis with a deadline every three months. Summer Schools will be offered 1 to 2 times a year with a fixed deadline 3 to 4 months ahead of the scheduled event. Visit www.atrium-research.eu <https://atrium-research.eu/travel-grants/> for more information.

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Fully-funded 3-year PhD position in NLP for insect biodiversity
by Claire Nedellec 04 Apr '24

04 Apr '24

PhD Title: Information Rating and Analysis of Knowledge Dynamics. Application to the Temporal Monitoring of the Reliability of Bibliographic Information on Insects as Vectors of Plant Pathogens. We are looking for candidates who have proven knowledge of NLP and Machine Learning. Deadline is June30th. Detailed description of the doctoral project HERE <https://maiage.inrae.fr/sites/default/files/2024-04/ADUM%20INRAE%202024-eng…> ----------- ## Research subject within the framework of the research project on NLP for insect monitoring in plant health. The central aim of the PhD project is to develop original approaches for the reliability of textual information, by integrating linguistic dimensions and knowledge graphs (NLP, language models), and dynamic dimensions (time series). The quality and relevance of the extracted information will be derived from the collected documents along time and from the existing knowledge base. For plant health and risk management, the biological interaction between insect vectors, pathogens, and host plants is of primary interest for anticipating contamination and reducing pesticide use. You will be affiliated with the Computer Science Graduate School at Paris-Saclay University. You will be employed by INRAE. ## Requirements A successful candidate will have an MSc or equivalent in Artificial Intelligence. * Proven experience with applying natural language processing. * Interest in learning about biology or bioinformatics. * High level of academic English or French, both written and spoken; * Good programming skills in Python or Java (and preferably experience with deep learning tools) * Capacity to work as part of a team in a multidisciplinary framework. * Experiences of applied research to Life Science is an asset. ## Offer We offer a motivating research environment with many opportunities for in-house, national and international collaborations and access to computing GPU resources and state-of-the-art research equipment. The gross salary per month for the three-year contract is 2 100 (in 2024) to 2300 (in 2026) including the social security package (healthcare, pensions, unemployment benefits). ## Start date: October 2024 Location: Paris-Saclay University campus, mainly at the MaIAGE lab [1] and MIA-Paris-Saclay [2], you will visit PHIM [3] at the INRAE research center in Montpellier (South of France). ## Application The closing date is June 30th 2024 Interested candidates should send their application files to Claire Nédellec (claire.nedellec(a)inrae.fr <mailto:claire.nedellec@inrae.fr>), Vincent Guigue, Nicolas Sauvion (Nicolas.sauvion(a)inrae.fr <mailto:Nicolas.sauvion@inrae.fr>), and Robert Bossy (Robert.bossy(a)inrae.fr <mailto:Robert.bossy@inrae.fr>). It should comprise: * a CV (max 5 pages) with transcripts (Master), diplomas, internships * a cover letter * the names and contact of two referees for reference letters [1] https://maiage.inrae.fr/en/bibliome <https://maiage.inrae.fr/en/bibliome> [2] https://vguigue.github.io/ <https://vguigue.github.io/> [3] https://umr-phim.cirad.fr/en/recherche/comprendre-les-epidemies-dans-les-ch… <https://umr-phim.cirad.fr/en/recherche/comprendre-les-epidemies-dans-les-ch…>

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CfP: First Workshop on Knowledge-Enhanced Machine Translation (KEMT) at EAMT2024
by Miquel Esplà 04 Apr '24

04 Apr '24

*Apologies for cross-posting* First Workshop on Knowledge-Enhanced Machine Translation Sheffield, United Kingdom, on June 27, 2024 https://kemt2024.wixsite.com/home First Call for Papers The 1st edition of the Workshop on Knowledge-Enhanced Machine Translation will be held in Sheffield, United Kingdom, on June 27, 2024, co-located with EAMT 2024. We welcome submissions either of research papers or extended abstracts/industry reports. Full research papers should describe original, unpublished content, while extended abstracts are open to reporting preliminary results of ongoing research. Industry reports should demonstrate the impact of conceptual modelling in a real-world setting, arguing for generalisability of methods and lessons learned. Potential submission topics encompass, but are not restricted to: - Integration of external terminology and constrained decoding - Integration of translation memories and similar translations from external sources - Leveraging any kind of linguistic information - Data augmentation techniques - Using large language models to integrate external resources - Knowledge graphs - Integration of translation quality indicators for improving final MT output - Quality assessment of knowledge-enhanced MT systems - Utilising quality estimation systems for improving MT performance Submission information The workshop accepts submissions in two different modalities: - Full research papers: Submissions will be accepted as papers of at least 4 up to 10 pages (plus unlimited pages for references and appendices). - Extended abstracts/industry reports:Submissions will be accepted as papers of up to 2 pages. The references are not included in the 2-page limit. Accepted submissions will be presented either as posters or oral communications, as decided by the program committee. Accepted submissions will be published online as proceedings included in the ACL Anthology, unless the authors specify otherwise. Submissions should be formatted according to the EAMT 2024 guidelines (PDF, LaTeX, Word) <https://eamt2024.sheffield.ac.uk/conference-calls/2nd-call-for-papers#h.45w…> and submitted in PDF through OpenReview page ( https://openreview.net/group?id=EAMT.org/2024/Workshop/KEMT ). Important dates - Workshop paper/abstracts due: 15th April 2024 - Notification of acceptance: 15th May 2024 - Camera-ready papers/extended abstracts due: 27th May 2024 - Workshop date: 27th June 2024 Follow us on Twitter: https://twitter.com/kemt2024 -- Miquel Esplà-Gomis Departament de Llenguatges i Sistemes Informàtics Universitat d'Alacant Carretera de Sant Vicent del Raspeig s/n 03690 Sant Vicent del Raspeig, Alacant (Spain) Tel: +34 965903400 ext. 2424

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Edge Hill Corpus Research Group – Meeting #12
by Costas Gabrielatos 04 Apr '24

04 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. ________________________________ 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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Free event 9 April 2024: Celtic Languages in the Digital Age Workshop (CLIDA 2024)
by El-Haj, Mo 04 Apr '24

04 Apr '24

Dear all, We are excited to announce the upcoming "Celtic Languages in the Digital Age" workshop, scheduled for April 9, 2024, at Lancaster University. This is a hybrid event of talks and panel discussion, organised by the UCREL NLP Group and funded by the Faculty of Science and Technology's Research Catalyst Fund, aims to address the critical need for linguistic resources supporting Celtic languages. Event Details: - Date: April 9, 2024 - Location: Lancaster University - Format: Hybrid with online broadcast (free registration) - Register to attend online: https://bit.ly/clida2024 The workshop will gather experts in Celtic languages, linguistics, corpus linguistics, computer science, and computational linguistics to explore the development of language models for under-resourced languages, including Welsh, Irish, Scottish Gaelic, Cornish, Breton, and Manx. We also have a talk on the use of transfer learning to create language models for low-resourced languages taking Luxembourgish as a use case. Programme, list of speakers and talks details can be found on the event's website: https://wp.lancs.ac.uk/celtic/ If you are in or near Lancaster and would like to attend in person, do get in touch with me as we have a few places left, attending in person is free, lunch and refreshments will be provided on the day. Best wishes, Mo -------------------------------- Dr Mo El-Haj Senior Lecturer in NLP Director of Admissions (SCC) Co-Director of UCREL NLP Group<https://ucrel.lancs.ac.uk/> Natural Language Engineering (NLE) Journal Editorial Board https://www.cambridge.org/core/journals/natural-language-engineering Advisory Board of the Natural Language Processing Book Series https://benjamins.com/catalog/nlp School of Computing and Communications, Lancaster University https://www.lancaster.ac.uk/staff/elhaj @DocElhaj<https://twitter.com/DocElhaj> You may receive emails from me outside what are your typical office hours. I do not expect you to respond to my email outside your working hours.

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12th IEEE International Conference on Intelligent Systems: Invited Session on Intelligent Tools in e/m/d Learning
by Announce 04 Apr '24

04 Apr '24

*** Third Call for Papers *** 12th IEEE International Conference on Intelligent Systems (IS'24) Invited Session on Intelligent Tools for e/m/d Learning August 29-31, 2024, Golden Sands Resort, Varna, Bulgaria https://www.ieee-is.org (*** Submission Deadline: April 30, 2024 AoE ***) This invited session aims to explore state-of-the-art advancements in intelligent tools designed to revolutionize the landscape of e-learning (electronic learning), m-learning (mobile learning) and d-learning (digital learning). With the rapid integration of technology into education, there is a growing need to investigate and showcase innovative intelligent solutions that can enhance the effectiveness of online, mobile and digital learning environments. Intelligent solutions for the educational context can have a groundbreaking and revolutionary impact on learners and faculty alike, with integrated educational tools offering enhanced engagement, support for different learning levels, styles and abilities, and personalized learning experiences with immediate feedback at its core. Papers submitted to this session are expected to present results on various aspects of intelligent tools for e-learning, m-learning and d-learning. Topics may include but are not limited to adaptive learning systems, personalized learning experiences, artificial intelligence-driven content creation, data analytics for educational insights, and the integration of emerging technologies such as augmented reality and virtual reality in educational settings. Authors are encouraged to share empirical research, case studies, and practical implementations that demonstrate the impact of intelligent tools on learner/faculty engagement, knowledge retention, and overall educational outcomes. The session aims to provide a comprehensive overview of the current state-of-the-art in intelligent tools in e-learning, m-learning and d-learning, fostering discussions on their implications for the future of education and their potential to address challenges in diverse learning environments and educational levels, as well as diverse learner ability. PAPER SUBMISSION INSTRUCTIONS Submitted papers should be in IEEE 2-column format and should adhere to the template available here: https://www.ieee-is.org/wp-content/uploads/2024/02/IS_A4_format-AAu.docx The expected paper length in camera-ready format should not exceed 6 pages. Submissions should be done in PDF using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=itl24 . PUBLICATION All accepted papers will be included in the IS'24 proceedings to be published by IEEE. The proceedings of the previous editions of IS can be found here: https://ieeexplore.ieee.org/xpl/conhome/1000395/all-proceedings . Traditionally, extended versions of conference-selected papers appear within 1-2 years after the conference dates in well-known international iournals and/or post-conference books. More information can be found on the conference web site (https://www.ieee-is.org/publication-information/ ). CONTACT POINT For any additional information or clarification please contact the Invited Session Chair, George A. Papadopoulos at george(a)ucy.ac.cy . IMPORTANT DATES • Paper submission: April 30, 2024, AoE • Notification: May 20, 2024 • Camera Ready: June 6, 2024 • Author Registration: June 15, 2024 ORGANISATION Committees https://www.ieee-is.org/program-committee/ Invited Session Chair • George A. Papadopoulos, University of Cyprus, Cyprus (george(a)ucy.ac.cy)

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Final Call for Participation - HOPE@IberLEF 2024: Approaching Hope Speech Detection in Social Media from Two Perspectives, for Equality, Diversity and Inclusion and as Expectations
by Sabur B 04 Apr '24

04 Apr '24

****We apologize for multiple postings of this e-mail**** IberLEF 2024 Task - HOPE: Approaching Hope Speech Detection in Social Media from Two Perspectives, for Equality, Diversity and Inclusion and as Expectations Held as part of the evaluation forum IberLEF 2024 <https://sites.google.com/view/iberlef-2024/home?authuser=0> in the 40th edition of the International Conference of the Spanish Society for Natural Language Processing (SEPLN 2024 <http://sepln2024.infor.uva.es/en/front-page-english/>) Valladolid, Spain, 24-27 September 2024 Codalab link: https://codalab.lisn.upsaclay.fr/competitions/17714 Dear All, Hope, a crucial aspect of human psychology, profoundly shapes emotions, behavior, and mood, influencing how individuals perceive and navigate challenges (Bruininks and Malle, 2005; Snyder, 1994, 2000). High levels of hope correlate with positive outcomes such as academic success and lower depression rates, while low hope is associated with diminished well-being (Snyder, 2002; Snyder et al., 1997; Diener, 2009). Despite its significance, hope has been underexplored in Natural Language Processing (NLP) until recent years. Efforts have been made to integrate NLP techniques into the analysis of hope through shared tasks, like those organized in ACL 2022, RANLP 2023, and IberLEF 2023 (Chakravarthi et al., 2022; Kumaresan et al., 2023; Jiménez-Zafra et al., 2023). The upcoming IberLEF 2024 edition aims to delve deeper into hope from two angles: hope for equality, diversity, and inclusion, and hope as expectations. This edition promises to expand understanding by examining hope across different domains and languages, thus addressing crucial questions in hope speech detection research. Two tasks are outlined in this description, each focusing on different aspects of hope. - Task 1: It centers on "Hope for Equality, Diversity, and Inclusion," emphasizing the importance of hope speech in mitigating hostility and supporting individuals facing challenges like illness, stress, or loneliness, particularly within vulnerable groups such as the LGBT community and racial minorities. This task consists of giving a Spanish tweet, identifying whether it contains hope speech or not. The possible categories for each text are: - hs: hope speech. - nhs: non hope speech. - Task 2: It delves into "Hope as Expectations," highlighting hope's role as an anticipatory mindset shaping human emotions and behaviors, especially in the context of social media where expressions are abundant. This task aims to analyze hope speech's presence in English and Spanish texts, focusing on binary hope speech detection and multiclass hope speech detection. The subtask are presented as follows, - Subtask 2a- Binary Hope speech detection: A given text in English/Spanish will be classified as: - Hope - Not Hope - Subtask 2b- Multiclass Hope speech detection: A given text in English/Spanish will be classified as: - Generalized Hope - Realistic Hope - Unrealistic Hope - Not Hope In both tasks, there will be a real-time leaderboard and the participants will be allowed to make a maximum of 10 submissions through CodaLab, from which each team will have to select the best one for ranking. The dataset details and registration are available at: https://codalab.lisn.upsaclay.fr/competitions/17714 Best regards, The HOPE 2024 organizing committee Important dates - Release of training + development corpora: Feb 16, 2024. - Release of test corpora and start of evaluation campaign: April 1, 2024. - End of evaluation campaign (deadline for runs submission): Apr 16, 2024. - Publication of official results: Apr 18, 2024. - Paper submission: May 14, 2024. - Review notification: Jun 11, 2024. - Camera-ready submission: Jun 28, 2024. - IberLEF Workshop (SEPLN 2024): Sep 27, 2024. - Publication of proceedings: Sep ??, 2024. Organizing Committee - Daniel García-Baena, SINAI, Universidad de Jaén, Spain. - Fazlourrahman Balouchzahi, CIC IPN, Mexico. - Salud María Jiménez-Zafra, SINAI, Universidad de Jaén, Spain. - Sabur Butt, Institute for the Future of Education (IFE) at Tecnológico de Monterrey, Mexico. - Miguel Ángel García-Cumbreras, SINAI, Universidad de Jaén, Spain. - Atnafu Lambebo Tonja, Centro de Investigación en Computación, Instituto Politécnico Nacional (IPN), Mexico. - José Antonio García-Díaz, UMUTeam, Universidad de Murcia, Spain. - Selen Bozkurt, Department of Biomedical Informatics, School of Medicine, Emory University. - Bharathi Raja Chakravarthi, University of Galway, Ireland. - Hector G. Ceballos, Institute for the Future of Education (IFE) at Tecnologico de Monterrey, Mexico. - Rafael Valencia-García, UMUTeam, Universidad de Murcia, Spain. - Grigori Sidorov, CIC IPN, Mexico. - L. Alfonso Ureña-López, SINAI, Universidad de Jaén, Spain. - Alexander Gelbukh, CIC IPN, Mexico. *Sabur Butt, Ph.D. *(He/Him) Institute for the Future of Education (IFE) *Tecnológico de Monterrey, Mexico* Address: Av. Eugenio Garza Sada 2501 Sur Tecnológico, 64849 Monterrey, N.L. LinkedIn <https://www.linkedin.com/in/saburb> - GitHub <https://github.com/saburbutt> - Scholar <https://scholar.google.com/citations?user=re7md-0AAAAJ&hl=en> - Website <https://saburbutt.github.io/>

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