May 2024 - Corpora - ELRA lists

[CIKM 2024] - Final Call for Applied Research Papers
by antonela.tommasel＠isistan.unicen.edu.ar 06 May '24

06 May '24

** Abstract deadline May 13th ** ** One week to go ** =============== =============== * We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-applied-research-papers =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The 33rd ACM International Conference on Information and Knowledge Management (CIKM) offers a forum for academia and industry to present cutting-edge research on artificial intelligence, search and discovery, text and data mining, and database systems. The Applied Research Track invites submissions from both academia and industry that focus on advancing the understanding of issues related to deploying IR, NLP and AI at scale. Unlike the Research Track, the Applied Research Track concentrates on applied work, such as describing the implementation of a system, data acquisition, or application of a methodology that addresses a significant real-world problem and demonstrates measurable benefits and impact. We invite authors to submit papers that showcase their research work’s real-world impact and demonstrate practicality and scalability. Submissions should clearly outline how the work has been deployed or released and for how long, or how the work is planned to be deployed or released and what is its potential impact in the real world -------------------------- Key Dates -------------------------- * Applied Research Papers abstract: 13 May 2024 * Applied Research Papers: 20 May 2024 * Applied Research Papers notifications: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We invite submissions along the same topics of interest lines as the CIKM 2024 Research Track, but with a focus on applied and deployed work, substantiated by a system launch, data release, or other practical application evidence. * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatio-temporal, (knowledge) graph, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Data processing enabled by large language models and other foundation models (e.g. information retrieval or data management facilitated by the use of LLMs) * Information access and retrieval (e.g., ad hoc and web search, facets and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender and filtering systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, spoken interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices) Crowdsourcing (e.g. task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Network and graph mining (e.g., social network analysis, mining important nodes in networks, subgraphs and graph motifs mining, community detection) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) -------------------------- Paper Submissions -------------------------- We welcome original applied research submissions that are not previously published, accepted to be published, or being considered for publication in any other forum. Full-length papers should satisfy the standard requirements of top-tier international research conferences. Authors should include their names and affiliations in the manuscript (i.e. submissions are single-blind). Submissions are limited to 7 pages plus unlimited references (note that additional appendices are not allowed) and must be formatted using ACM’s 2-column template “sig-conf”, see https://www.acm.org/publications/proceedings-template. Papers that include text generated from a large-scale language model (LLM), such as ChatGPT, are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their text (e.g., automate grammar checks, word autocorrect, and other editing of author-written text), but text “produced entirely” by generative/AI models is not allowed. At least one author of each accepted paper must register to present the work on-site in Boise, Idaho, USA, as scheduled in the conference program. The official publication date is when the proceedings are made available in the ACM Digital Library. This date may be up to two weeks before the first day of the conference. The official publication date affects the deadline for any patent filings related to published work. -------------------------- Dual Submission Policy -------------------------- Submitting papers that are identical (or substantially similar) to versions that have been published, accepted for publication, or submitted in parallel to other conferences (or any venue with published proceedings) is not allowed. However, it is allowed to make an abstract submission by May 13, 2024 (without uploading the paper PDF) for a paper that is still under review as long as the ongoing review process ends by the full paper final deadline of May 20, 2024. You need to withdraw your submission in case the paper is accepted or still under review by May 20, 2024. Authors are allowed to submit papers that have been presented or are to be presented at conferences or workshops without proceedings, or with only abstracts published. Authors may also submit anonymized work already available as a preprint (e.g., in arXiv). In this case, the authors must modify the title and abstract while refraining from citing the manuscript to preserve anonymity. -------------------------- Authorship Policy -------------------------- Before paper submission, authors are advised to review ACM’s authorship policy carefully. Please ensure that all authors are identified in EasyChair before the submission deadline. To help reviewers identify potential conflicts of interest, the full author list must be specified by the abstract submission deadline. Consequently, no changes to authorship will be allowed under any circumstance after the abstract submission deadline; neither update will be permitted for camera-ready versions. -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the anonymity, length, or formatting requirements, or violate ACM’s policies on academic dishonesty—such as plagiarism, author misrepresentation, or falsification—may be subject to desk rejection by the chairs. -------------------------- ACM Policy Against Harassment -------------------------- All authors and participants must adhere to the ACM Policy Against Harassment. For full details, please visit this site: https://www.acm.org/about-acm/policy-against-harassment -------------------------- Chairs Contact Information -------------------------- For more information, contact the Applied Research Track PC chairs at: CIKM2024-applied [at] easychair [dot] org Wei Chen (Microsoft Research Asia) Yinglong Xia (Meta)

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First Call for Papers: GenBench, the second workshop on generalisation (benchmarking) in NLP @ EMNLP 2024
by Verna 05 May '24

05 May '24

*GenBench: The second workshop on generalisation (benchmarking) in NLP* *Workshop description*The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing (NLP). Yet, there are still many open questions related to what it means for an NLP model to generalise well, and how generalisation should be evaluated. LLMs, trained on gigantic training corpora that are – at best – hard to analyse or not publicly available at all, bring a new set of challenges to the topic. The second GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. The workshop aims to bring together different expert communities to discuss challenging questions relating to generalisation in NLP, crowd-source challenging generalisation benchmarks for LLMs, and make progress on open questions related to generalisation. Topics of interest include, but are not limited to: - Opinion or position papers about generalisation and how it should be evaluated; - Analyses of how existing or new models generalise; - Empirical studies that propose new paradigms to evaluate generalisation; - Meta-analyses that compare how results from different generalisation studies compare; - Meta-analyses that study how different types of generalisation are related; - Papers that discuss how generalisation of LLMs can be evaluated; - Papers that discuss why generalisation is (not) important in the era of LLMs; - Studies on the relationship between generalisation and fairness or robustness. The second GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2024. *Submission types* We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. *1. Regular workshop submissions* Regular workshop submissions present papers on the topic of generalisation (see examples listed above). Regular workshop papers may be submitted as an archival paper, when they report on completed, original and unpublished research, or as a shorter extended abstract, otherwise. More details on this category can be found below. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench(a)googlegroups.com. *2. Collaborative Benchmarking Task (CBT) submissions* The goal of this year's CBT is to generate versions of existing evaluation datasets for LLMs which, given a particular training corpus, have a larger distribution shift than the original test set, or – in other words – evaluate generalisation to a stronger degree than the original dataset. For this particular challenge, we focus on three training corpora: C4, RedPajama-Data-1T, and Dolma. All three corpora are publicly available, and they can be searched via the What's in My Big Data API (https://github.com/allenai/wimbd). We will focus on three popular evaluation datasets: MMLU, HumanEval, and SiQA. Submitters to the CBT are asked to design a way to assess distribution shift for one or more of these evaluation datasets, given particular features of the training corpus, and then generate one or more versions of the dataset that have a larger distribution shift according to this method. Newly generated sets do not have to have the same size as the original test set, but should have at least 200 examples. Practically speaking, CBT submissions consist of: 1. the data/task artefact, submitted through https://github.com/GenBench/genbench_cbt 2. a paper describing the dataset and its method of construction, submitted through https://openreview.net/group?id=GenBench.org/2024/Workshop We accept submissions that consider only one pretraining dataset and evaluation dataset, but encourage submitters to apply their suggested protocols to both pretraining datasets. We also suggest that submitters include model results for models trained on these datasets. Suggestions are provided on the CBT website: https://genbench.org/cbt. Given enough high-quality submissions, we aim to write a paper with the combined results, to which submitters can be co-authors, if they wish so. More detailed guidelines will be given on https://genbench.org/cbt. *Archival vs extended abstract* Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2024 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references, and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website, but will not be included in the proceedings. *Submission instructions*For both archival papers and extended abstracts, we refer to the EMNLP 2024 website for paper templates and requirements. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All submissions can be submitted through OpenReview: https://openreview.net/group?id=GenBench.org/2024/Workshop. *Important dates* These deadlines are tentative, for the latest version see https://genbench.org/workshop - August 15, 2024: Paper submission deadline - September 20, 2024: Notification deadline - October 4, 2024: Camera-ready deadline - November 15 or 16, 2024: Workshop Note: all deadlines are 11:59 PM UTC-12:00 *Preprints* We do not have an anonymity deadline, preprints are allowed, both before the submission deadline as well as after. *Contact* Email address: genbench(a)googlegroups.com Website: https://genbench.org/workshop *On behalf of the organisers*Dieuwke Hupkes Verna Dankers Khuyagbaatar Batsuren Amirhossein Kazemnejad Christos Christodoulopoulos Mario Giulianelli Ryan Cotterell

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Call for Participation: Challenge on Medical Video Question Answering at TREC 2024
by Deepak Gupta 04 May '24

04 May '24

Dear colleagues and friends, This year, we are organizing the MedVidQA <https://medvidqa.github.io/>challenge with TREC 2024 <https://trec.nist.gov/pubs/call2024.html>. This challenge aims at developing models for (1) retrieving the relevant videos and locating the visual answer in those videos for the medical or health-related question and (2) generating step-by-step textual summaries of the visual instructional segment that can be considered the answer to the medical query. This track comprises two main tasks: Video Corpus Visual Answer Localization (VCVAL) and Query-Focused Instructional Step Captioning (QFISC). For more details, please visit the challenge website ( https://medvidqa.github.io/) and the TREC 2024 website ( https://trec.nist.gov/pubs/call2024.html). Participants are required to complete their registration by submitting the TREC 2024 Registration Form <https://ir.nist.gov/evalbase/accounts/login/?next=/evalbase/>. *Important Dates* - *Release of the training and validation datasets:* April 30, 2024 - *Release of the video corpus:* May 12, 2024 - *Release of the test sets:* June 7 (Task A), September 2, 2024 (Task B) - *Run submission deadline:* August 12 (Task A), September 16, 2024 (Task B) - *Release of the official results:* September 8 (Task A), October 11, 2024 (Task B), We look forward to your participation in MedVidQA at TREC 2024. Join our Google Group <https://groups.google.com/g/trec-medvidqa2024> for important updates! If you have any questions, ask us on our Google Group <https://groups.google.com/g/trec-medvidqa2024> or email <deepak.gupta(a)nih.gov> us. Thank you, MedVidQA 2024 Organizers

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Two 2-years Postdoc positions in NLP at Bocconi University (Italy)
by Debora Nozza 03 May '24

03 May '24

We are seeking highly motivated and talented individuals to join our research team as Postdoctoral Researchers in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the personalized and subjective approaches to Natural Language Processing. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab. Your profile: - a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields. - Excellent programming skills in Python. - Fluency in spoken and written English. Knowledge of Italian is NOT a requirement. - Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch). - Experience with publications in top-tier venues in the field of NLP/Computational Linguistics. Position Details: - Starting date: September 1, 2024, or any time thereafter - Duration: 2 years - Deadline: 30th May 2024 - Competitive Salary: Applicants from outside Italy may qualify for a researcher taxation scheme How to apply: Go to the Bocconi postdoc job market page (https://jobmarket.unibocconi.eu/?id=601). Candidates should attach a CV and a cover letter to their application. Online interviews will take place during June 2024. Please contact debora.nozza(at)unibocconi.it if you have any questions.

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Reminder: 2-3 years postdoc in coherence and multimodal models at the University of Gothenburg
by Sharid Loáiciga 03 May '24

03 May '24

We invite applications for a 2-3 years postdoc position at CLASP, University of Gothenburg, Sweden. The overarching goal of the project is to construct a multimodal NLP system that uses text and visual input alongside large language models to assure text coherence over long documents and long sentence contexts. Candidates should have experience with machine learning including deep learning and neural networks, preferably with a background in mainstream natural language processing tasks and methods (e.g., language modeling, parsing, coreference, machine translation, discourse parsing, etc). Interest in the cognitive processes/models behind human language processing and understanding is a key advantage for the position. The application deadline is June 3rd. If you have questions, don't hesitate to email me sharid.loaiciga(a)gu.se More details in the complete official call here: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89…

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Workshop: Large Language Models and Lexicography 2024 (co-located with EURALEX 2024)
by Simon Krek 03 May '24

03 May '24

-------------------------------- Call for Extended Abstracts: Large Language Models and Lexicography 2024 Hotel Croatia, Cavtat, Croatia | 8 October 2024 You are invited to submit extended abstracts for the workshop Large Language Models and Lexicography, which will be held in conjunction with the Euralex 2024 congress <https://euralex.jezik.hr/> . The workshop is organised jointly by the Centre for Language Resources and Technologies, University of Ljubljana, and Jožef Stefan Institute, Ljubljana, Slovenia. Key Information Workshop link: https://www.cjvt.si/en/research/community/llm-lex-2024/ Date: 8 October 2024 Venue: Hotel Croatia, Cavtat, Croatia Deadline: 3 June 2024 Submission link: <https://easychair.org/conferences/?conf=llmlex2024> https://easychair.org/conferences/?conf=llmlex2024 Notification of acceptance: beginning of July 2024 Best regards, Simon Krek

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JTDH 2024: Second Call for Papers
by Špela Arhar Holdt 03 May '24

03 May '24

You are kindly invited to submit a paper to the Slovenian Language Technologies and Digital Humanities Conference (JTDH 2024), which will take place on September 19 and 20, 2024 in Ljubljana, Slovenia: https://www.sdjt.si/wp/jtdh-2024-en. We welcome extended abstracts and full papers on topics that 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. The official languages of the conference are Slovene and English. We are happy to announce the keynotes Simon Dobnik and Barbara McGillivray, a round table Frontiers in Speech Communication Research, and two pre-conference events: - 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: 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 More information: https://www.sdjt.si/wp/jtdh-2024-en

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[CfP] DDHI@JOHD: Journal of Open Humanities Data Special Collection on Data-Driven History of Ideas - Arianna Betti and Hein van den Berg, guest editors
by arianna betti 02 May '24

02 May '24

[Apologies for cross-posting] DDHI-2024@JOHD Special Collection on DATA-DRIVEN HISTORY OF IDEAS of the JOURNAL OF OPEN HUMANITIES DATA Guest editors: Arianna Betti & Hein van den Berg ===================================== Important Dates Abstracts due: 1st June 2024 Full papers due: 1st December, 2024 Call for Papers 2024 ---------------------------------------------------------- The new field of data-driven history of ideas combines qualitative, quantitative and computational methods for the study of the origins, development and spread of ideas from any time and place. It also comes with two challenging demands that are distinctive in the landscape of computational humanities. The first is the demand for the adequate representation and detection of concepts, rather than words; the second is the need for high-quality, virtually 100% accurate large corpora in many languages across centuries by both known and virtually unknown authors seen as carriers of ideas. These two main demands generate in turn further needs on resources that must be, typically, newly created or substantially adapted for the field: datasets such as expertly curated sets of bibliographic metadata, annotation sets and historical gazetteers, ontologies, and network data; infrastructural facilities for collaborative environments, and workflows that suit and support the field; ground truths for the evaluation of models from language technology, and techniques integrating language models with approaches and tools from data science, visual analytics, and knowledge representation. Results produced in the field can be published in the same way as traditional articles in in-domain journals and books. The resources that make data-driven enterprises in the history of ideas possible, however, still lack an apt venue, despite the fact that work on such resources is key to the field and can be extremely time-consuming. It is with the intention of creating a home for openly shareable corpora, datasets and other resources, as well as to support the work of the next generation of researchers, that we invite submissions to a special collection of the Journal of Open Humanities Data on Data-Driven History of Ideas. Submissions for this special collection are welcome that focus on, facilitate or support the study of philosophical and scientific thought of any epoch and geographical area, geared in particular towards the origin, development and spread of ideas. Submission topics include, but are not limited to -------------------------------------------------- * Textual data: high-quality, virtually 100% accurate corpora from any epoch and language * Ground truths and annotation datasets * Curated collections of bibliographical metadata and full bibliographies * Ontologies * Lexica * Historical gazetteers * Collections of (historical): * Geographic-political data eg political affiliation of cities through the centuries * Timeline data of authors, printers, countries * Complete publishing histories of books * Unique identifiers * Network data * Academic conference data * Computational tools focused on DDHI: * Multilingual and multi-layout OCR postcorrection * Transkribus models * Applied concept-focused work in computational linguistics, data science, visual analytics, and knowledge representation (concept-detection, concept-change) * Networks and graphs * Data visualisations for DDHI Manuscripts will be peer reviewed after editorial consideration, and accepted papers will be published online on a rolling basis. Please note that there are Publication Fees <https://openhumanitiesdata.metajnl.com/about/submissions/> for accepted papers. Follow the submission guidelines <https://openhumanitiesdata.metajnl.com/about/submissions/> to submit your manuscript. The Journal of Open Humanities Data (JOHD) <https://openhumanitiesdata.metajnl.com/> is a growing open-access peer-reviewed academic journal specifically dedicated to publications describing humanities research objects, software, and methods with high potential for reuse. These might include curated resources like (annotated) linguistic corpora, ontologies, and lexicons, as well as databases, maps, atlases, linked data objects, and other data sets created with qualitative, quantitative, or computational methods. JOHD publishes two types of papers: - Short data papers contain a concise description of a humanities research object with high reuse potential from research related to the ancient world. These are short (1000 words) highly structured narratives and must conform to the data paper template <https://s3-eu-west-1.amazonaws.com/ubiquity-partner-network/up/journal/johd…>. A data paper does not replace a traditional research article, but rather complements it. - Full length research papers discuss and illustrate methods, challenges, and limitations in the creation, collection, management, access, processing, or analysis of data in Humanities research related to the ancient world, including standards and formats. These are intended to be longer narratives (3000 - 5000 words), which give authors the ability to contribute to a broader discussion around the study and representation of the ancient world through data. JOHD provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge. Authors remain the copyright holders and grant third parties the right to use, reproduce, and share the article according to the Creative Commons <http://creativecommons.org/licenses/by/4.0/> licence agreement. Authors are encouraged to publish their data in recommended repositories. Please note that there are Publication Fees <https://openhumanitiesdata.metajnl.com/about/submissions/> for accepted papers, but authors can ask for a waiver if they do not have funding for the fees. Submission deadline: 1 June 2024 (abstracts due) 1 December 2024 (full papers due, upon abstract acceptance) Submissions: ------------------ If you are interested in submitting an article, please submit an abstract of max. 300 words by June 1, 2024 using this form: https://docs.google.com/forms/d/e/1FAIpQLSfpHO3RYHTNJRtmJRZ4QHkorN5buq8KnwK… You will be asked to paste the text of the abstract in the form. Special collection guest editors: Arianna Betti (lead guest editor), Hein van den Berg About the Guest Editors: Arianna Betti is Professor and Chair of Philosophy of Language at the University of Amsterdam, and leader of the Concepts in Motion group at the Institute for Logic, Language and Computation. After studying historical and systematic aspects of ideas such as axiom, truth, and fact (Against Facts, MIT Press, 2015), they now specialise in data-driven research aimed at tracing the development of ideas such as these in a strongly interdisciplinary setting. They have been member of the Young Academy of the Royal Netherlands Academy of Arts and Sciences (KNAW), of the Scientific Council of the Italian Research Council (CNR), of the Global Young Academy (GYA), and recipient of two ERC grants (2008–2013, 2014–2015) as well as of several major Dutch NWO grants, including a VICI (2017–2024). Hein van den Berg obtained his PhD at the VU Amsterdam in history and philosophy of science in 2011, with a prize-winning dissertation on Kant’s conception of proper science and Kant’s philosophy of biology. After obtaining a postdoctoral grant from the Royal Netherlands Academy of Arts and Sciences (KNAW) for conducting research on the history of biology at the Technical University Dortmund, he became assistant professor at the Institute for Logic, Language, and Computation of the University of Amsterdam in 2016. He does research on the history and philosophy of logic, biology, and psychiatry. As a member of the Concepts in Motion group since 2011, he has been involved in a large number of computational and data-driven history of ideas projects.

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CfP FDIA 2024 – Future Directions in Information Access at ESSIR 2024
by Ingo Frommholz 02 May '24

02 May '24

Fancy a trip to Amsterdam? The 12th edition of our PhD Symposium on Future Directions in Information Access (FDIA 2024), organised by the BCS Information Retrieval Specialist Group, will be held in conjunction with the 15th European Summer School on Information Retrieval (ESSIR 2024, https://2024.essir.eu/, 1-5 July 2024). We cordially invite Masters and doctoral (PhD) students as well as early-stage researchers to submit a paper on their research topic to the symposium. You’ll learn a lot about Information Retrieval while at the school and get great feedback on your topic, meet lots of other students, and hear inspiring talks. The FDIA Symposium provides an excellent opportunity for students to give pointers to their work and obtain experience in presenting and communicating their research. FDIA 2024 is the next chapter in a long list of previous events. Previous symposiums were held in Vienna, Austria (with ESSIR 2023), Lisbon, Portugal (with ESSIR 2022), Milan, Italy in 2019 (with ESSIR 2019), Tianjin, China in 2018 (with ICTIR 2018), Barcelona, Spain in 2017 (with ESSIR 2017); Thessaloniki, Greece in 2015 (with ESSIR 2015); Granada, Spain in 2013 (with ESSIR 2013); Koblenz, Germany in 2011 (with ESSIR 2011), Padova, Italy in 2009 (with ESSIR 2009); London, England in 2008, and Glasgow, Scotland in 2007 (with ESSIR 2007). They have provided an entertaining and exciting forum for early-stage researchers for sharing new research ideas. Why future directions, because we encourage submissions that focus on early research such as pilot studies, presenting challenges and future opportunities, conceptual and theoretical work, and the contributions from doctoral work. Why information access, because it captures the broader ideas of information retrieval, storage, and management to include interaction and usage. We especially encourage submissions on formative research ideas which present a summary of their doctoral work, initial empirical findings/pilot studies, explore conceptual and/or theoretical models, and/or describe current challenges and opportunities. Submissions focusing on new directions and emerging work in Information Access/Retrieval which create discussion and provoke a reaction are strongly encouraged. Areas of research include, but are not limited to: - Information Retrieval Theory - Human-Computer Interaction and Information Retrieval, User Modelling, Interactive IR - Collaborative Information Seeking and Searching - IR for Good - IR Evaluation - Learning to Rank - Retrieval-augmented Generation - Neural and Generative IR - Multimedia and Multimodal IR - Recommender Systems - Web IR - Clustering and Categorization - Enterprise Search - Conversational Agents, knowledge graphs - IR Applications (e.g. Digital Humanities, News IR, Legal IR, IR and Bibliometrics, Academic Search and Recommendation, etc.) - NeuraSearch (use of fMRI, EEG, fNTIR, Eye Tracking, etc. in IR) Papers should be 4-8 pages in length excluding references for presentation and poster (e.g., an outline of the PhD or Master’s project, a discussion of topics and ideas). Submissions should be converted to PDF and submitted via Easy Chair: https://easychair.org/my/conference?conf=fdia2024. We plan to publish the proceedings at CEUR-WS.org. Please use the one-column CEUR style (CEURART.zip). We strongly encourage students to submit as a solo author, but papers with several authors are welcome as well. A selection of papers will be invited to give a short oral and/or poster presentation. IMPORTANT DATES June 6, 2024: Submission deadline July 20, 2024: Notification deadline July 3, 2024: FDIA in Amsterdam (during ESSIR July 1-5, 2024) CONTACT Please email fdia2024(a)easychair.org. ORGANISERS PC Chairs Haiming Liu, University of Southampton, UK Ingo Frommholz, University of Wolverhampton, UK Yashar Moshfeghi, University of Strathclyde, UK -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science ACM CIKM 2023 General Chair Head of Data, AI, Interaction, Retrieval and Language Group http://dairel.org Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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Deadline Extended - Propagandistic Techniques Detection / ArAIEval Shared Task at the ArabicNLP 2024 co-located with ACL 2024
by Wajdi Zaghouani 02 May '24

02 May '24

You are invited to participate in the *ArAIEval Shared Task *at the *ArabicNLP 2024*: (i) detection of propagandistic textual spans with persuasion techniques identification (unimodal) on Arabic news articles and tweets. (ii) distinguishing between propagandistic and non-propagandistic memes (multimodal) in Arabic. The shared task will be held alongside the Second Arabic Natural Language Processing Conference (ArabicNLP 2024), co-located with the ACL2024 Conference in Bangkok, Thailand (11-16 Aug, 2024). *Tasks* Task 1: Unimodal (Text) Propagandistic Technique Detection: The task is to detect the propaganda techniques used in a text and identify the exact span(s) in which each propaganda technique appears. You will be given text snippets from news paragraphs or tweets (multigenre). This is a sequence tagging task. Task 2: Multimodal propagandistic memes classification: We offer the three subtasks as defined below: - Subtask 2A: Given a text extracted from a meme, detect whether it is propagandistic or not. - Subtask 2B: Given a meme (text overlayed image), the task is to detect whether the content is propagandistic. - Subtask 2C: Given multimodal content (text extracted from meme and the meme itself) the task is to detect whether the content is propagandistic. Website for detailed information: https://araieval.gitlab.io/ Registration and submission: Task 1: https://codalab.lisn.upsaclay.fr/competitions/18111 Task 2: https://codalab.lisn.upsaclay.fr/competitions/18099 Important Dates - 15 Mar 2024: Registration on CodaLab and the start of the development cycle (release of training and development datasets, along with submission for the development phase on CodaLab) - 27 April 2023 23:59 AOE: Beginning of the evaluation cycle (test sets release) - 4 May 2024 23:59 AOE: End of the evaluation cycle (run submission) - 5 May 2024: Release leaderboard - 15 May 2024: Deadline for the submission of shared task papers - 17 June 2024: Notification of acceptance of shared task papers - 1 July 2024: Deadline for submission of camera-ready papers - 16 August 2023: ArabicNLP Conference (colocated with ACL-2024) Organizers - Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar - Maram Hasanain, Qatar Computing Research Institute, HBKU, Qatar - Reem Suwaileh, HBKU, Qatar - Md. Arid Hasan, University of New Brunswick, Canada - Fatema Ahmed, Qatar Computing Research Institute, HBKU, Qatar - Md. Rafiul Biswas, HBKU, Qatar - Wajdi Zaghouani, HBKU, Qatar ---- *Wajdi Zaghouani, Ph.D.* *Associate Professor in Digital Humanities* College of Humanities and Social Sciences P.O. Box 34110 | Education City | Doha, Qatar tel: +974 4454 5601 | mob: +974 33454992 wzaghouani(a)hbku.edu.qa| Office A141, LAS Building

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