March 2024 - Corpora

Meta KDD Cup 2024: Comprehensive RAG Challenge
by Kai Sun 28 Mar '24

28 Mar '24

Hello Colleagues, Imagine using an AI assistant to get the latest updates on your favorite sports team, but instead of receiving latest scores, you get last year’s results. Or when asking about a niche movie you really like, but couldn't get meaningful answers. These are classic examples of “hallucination” where LLMs provide outdated or incorrect information. The Meta Comprehensive RAG (CRAG) Benchmark Challenge aims to address these challenges. Participate to improve how Large Language Models (LLMs) can keep-up with the ever-evolving reality and provide accurate responses by leveraging Retrieval Augmented Generation (RAG). Why RAG Matters Despite the advancements of LLMs, the issue of hallucination persists as a significant challenge; that is, LLMs may generate answers that lack factual accuracy or grounding. Retrieval-Augmented Generation (RAG) has recently emerged as a promising solution to alleviate LLM’s deficiency in lack of knowledge and attracted a lot of attention from both academia research and industry. Introducing the Meta Comprehensive RAG (CRAG) Benchmark Challenge CRAG is a factual question answering benchmark that covers 5 domains and 8 question types, and provides a practical set-up to evaluate RAG systems. Different from existing benchmarks, CRAG is designed to include questions with a wide variety of domains and types. In particular, it includes questions with answers that change from over seconds to over years; it considers entity popularity and covers not only head, but also torso and tail facts; it contains simple-fact questions as well as 7 types of complex questions such as comparison, aggregation and set questions to test the reasoning and synthesis capabilities of RAG solutions. Why This Challenge Is a Game-Changer Addressing "hallucination" and outdated information is critical to enhancing the reliability of LLM-powered question-answering systems. RAG proposes a solution by integrating the external data into its responses. The CRAG Benchmark is a comprehensive test to evaluate these advanced systems' effectiveness across various domains and question types, challenging them with scenarios that require immediate data and those that explore less popular "tail" facts. What's unique about this challenge? * Tasks Designed to Improve QA Systems: The three tasks focus on web-based retrieval summarization, knowledge graph and web augmentation, and an end-to-end RAG challenge, each built on top of the previous one. * Rich Dataset Across Diverse Domains: The CRAG dataset covers domains from finance to music, to address questions that mirror real-world variability and complexity. * Prizes For Winners: Compete for a chance to win a part of the $31,500 prize pool, with the top performing teams in each task winning up to $4,000. Challenge Timeline * Website Online and Registration Begin: 20th March, 2024 23:55 UTC * Phase 1 Start Date: 1st April, 2024 23:55 UTC * Phase 1 End Date: 20th May, 2024 23:55 UTC * Phase 2 Start Date: 22nd May, 2023 23:55 UTC * Registration and Team Freeze Deadline: 31st May, 2024 23:55 UTC * Phase 2 End Date: 20th Jun, 2023 23:55 UTC * Winner Notification: 15th July, 2024 * Winner Announcement: 26th August, 2024 (KDD Cup Winners) 👉 Engage Now: Begin this journey by delving into the challenge details at https://www.aicrowd.com/challenges/meta-comprehensive-rag-benchmark-kdd-cup…. Join a community of innovative thinkers, share ideas, and engage in this exciting challenge. Connect with us on our Community Forum and Discord Server for support and collaboration. We're eager to see the innovations you'll bring to life. Refer to: https://www.aicrowd.com/challenges/meta-comprehensive-rag-benchmark-kdd-cup… for the competition rules. All the best, Team AIcrowd *NO PURCHASE NECESSARY TO ENTER/WIN. Open to individuals who are 18 + age of majority and meet the full eligibility requirements in the full Rules. Open 3/20/2024 10:00:01 AM thru 6/15/2024 23:59:59 PM PT. Void where prohibited. Subject to full Rules at https://www.aicrowd.com/challenges/meta-comprehensive-rag-benchmark-kdd-cup…. See Rules for prize details and values. Sponsor: Meta Platforms, Inc. 1 Hacker Way, Menlo Park, California 94025 (for US entrants) or Meta Ireland Limited, 4 Grand Canal Square, Dublin 2, Ireland (for all other entrants).

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Invitation: Guest Speaker @ ACFTI Cybersecurity stream
by Andrew Zayine 28 Mar '24

28 Mar '24

The Association of Cyber Forensics and Threat Investigators (ACFTI) is an ambitious, non-profit technical organization focusing on the academics and practitioners of cybersecurity, digital forensics, incident response, and threat investigations and their influence on society. Our main aim is to inspire the next generation of underrepresented groups to flourish by creating a learning community of students, professors, and industry professionals. It connects future cybersecurity practitioners on campus with leading professionals On behalf of the Association of Cyber Forensics and Threat Investigators (ACFTI), I am pleased to invite you to the new DFIR stream lecture/seminar series. The presentation is a maximum of 1 hour in length, with an audience of about 60+, made up of researchers, practitioners, and cybersecurity students from underrepresented groups. Our goal is to shine a spotlight on the broad array of new advances in cybersecurity science and operations currently adopted in the industry. This session will be conducted online. It will be fantastic to have any hands-on topics related to cyber forensics and/or Cybercrime Your discussion on this topic will be a great addition to our event. Expressions of interest to present from anyone doing research or applying cybersecurity techniques to practical or theoretical applications related to the interactions between cyber forensics and threat investigations can be sent as a summary of your work (c.300 words) to https://dfir.stream/call-for-guest-speakers Thank you in advance for your consideration, and we are very much looking forward to hearing from you. To get more news about our events, please join our low-traffic announcement group @ https://groups.google.com/g/acfti Best regards, Andrew Zayin Ph.D., CISSP, CISM, CRISC, CDPSE, PMP ACFTI Secretariat ________________________________________________________ Association of Cyber Forensics and Threat Investigators https://www.acfti.org Twitter: @acfti

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Second 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 27 Mar '24

27 Mar '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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GEM'24 shared task: Final call for participation
by Simon Mille 27 Mar '24

27 Mar '24

Dear colleagues, The deadline for the GEM shared task submissions on multilingual data-to-text generation and summarization is now less than 10 days away! Note that you can pre-register your systems until the submission date (April 5th). More information on the GEM website <https://gem-benchmark.com/shared_task>. Regards, simon, on behalf of the GEM human evaluation team *ADAPT Research Centre / Ionaid Taighde ADAPT* *School of Computing, Dublin City University, Glasnevin Campus / Scoil na Ríomhaireachta, Campas Ghlas Naíon, Ollscoil Chathair Bhaile Átha Cliath*

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KONVENS 2024: Second Call for Papers
by Benjamin Roth 27 Mar '24

27 Mar '24

KONVENS 2024: Second Call for Papers We warmly welcome the submission of papers for KONVENS 2024, scheduled from September 9 to 13, 2024, at the University of Vienna, Austria. In addition to its technical program, KONVENS will facilitate dynamic interactions among academic researchers and industry peers, offering workshops, tutorials, shared tasks, and networking events. Confirmed keynote: Jana Diesner (TU München) See https://konvens-2024.univie.ac.at/ for more information! PAPER SUBMISSION INFORMATION We invite submissions of original and unpublished works in the fields of research, development, applications, and evaluation, encompassing all aspects of natural language processing, from fundamental inquiries to the practical implementation of natural language resources, components, and systems. We particularly encourage submissions of NLP approaches dedicated to the German language, including survey papers that provide insights into the current state of the art in German language and speech processing. We welcome contributions from both academic and industry professionals. We welcome the following types of paper submissions: * Long papers (8 pages plus references and appendix), describing original research with substantial new results. * Short papers (4 pages plus references and appendix), including small focused contributions, work in progress, as well as descriptions of projects, systems and resources. * Long and short papers can be submitted for archival publication, published in the ACL Anthology, and there is the option of non-archival submission. In the case of non-archival submission, only the abstract of the paper (max. 200 words) will be published on our website and the paper will not be part of the conference proceedings. Accepted papers will be presented orally or as posters as determined by the program chairs. The decisions will be based on the nature rather than the quality of the work. The conference language is English. Only contributions written in English will be accepted. Each submission must include a mandatory discussion of Ethical Considerations as well as a section on Limitations (both sections do not count towards the page limit). Papers without these sections will be desk-rejected. The review process will be double-blind. Submissions must be anonymized accordingly. The conference proceedings will be published via the ACL Anthology (archival submissions only). Papers must be formatted in accordance with the ACL style sheet: https://github.com/acl-org/acl-style-files. We strongly encourage authors to use LaTeX in preparing their document. Papers must be submitted electronically via OpenReview: https://openreview.net/group?id=KONVENS/2024/Conference IMPORTANT DATES * April 30th, 2024: Paper submission due (all submission types) * June 30th, 2024: Notification of acceptance * July 15th, 2024: Camera-ready papers due * September, 9th-13th, 2024: KONVENS CONFERENCE STIPEND GSCL is offering stipends for students in the field of computational linguistics (including PhD students) covering conference fees and (partially) travel costs for attending KONVENS 2024. For more information, see: https://gscl.org/activities/conference-stipend/ Mit freundlichen Grüßen / Best regards the KONVENS-2024 organization team konvens-2024(a)googlegroups.com https://konvens-2024.univie.ac.at/ -- Univ.-Prof. Dr. Benjamin Roth Digitale Textwissenschaften Universität Wien Kolingasse 14 Raum 5.17 1090 Wien email: benjamin.roth(a)univie.ac.at tel: +43 14277 79513 virtual coffee (Tuesday 2pm CEST): https://www.benjaminroth.net/virtual_coffee video call: https://univienna.zoom.us/j/93796507934?pwd=VFg5dW9JbStPUml6WFVtOWJXV3phQT09 web: https://dm.cs.univie.ac.at/team/person/112089/

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CfP: 4th Workshop on Computational Linguistics for Political and Social Sciences (CPSS 2024)
by Indira Sen 27 Mar '24

27 Mar '24

[Apologies for cross-posting] Dear Corpora list members, We welcome submissions for the *4th edition of the CPSS workshop, co-located with KONVENS'24, in Vienna, Austria on 13th September 2024.* Keeping with the theme of text-as-data and NLP techniques for studying political and social phenomena, you can submit both archival papers (short or long) or non-archival abstracts. Closely related themes include (but are not limited to): - Modeling political communication with NLP (e.g. topic classification, position measurement) - Mining policy debates from heterogeneous textual sources - Modeling complex social constructs (e.g. populism, polarization, identity) with NLP methods - Political and social bias in language models - ... and more! *Important Dates* - Submission deadline: 14 June 2024 - Notification of acceptance: 2 August 2024 - Camera ready deadline: 12 August 2024 - Workshop: 13 September 2024 Papers can be submitted through Easychair via https://easychair.org/conferences/?conf=cpss2024 More details: https://sites.google.com/view/cpss2024konvens/home-page Best, CPSS'24 organizers (Christopher Klamm, Gabriella Lapesa, Simone Paolo Ponzetto, Ines Rehbein, Indira Sen)

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[2nd call] PhD and postdoc positions on Natural Language Understanding at Pioneer Centre for AI
by Isabelle Augenstein 27 Mar '24

27 Mar '24

A PhD and two postdoc positions on natural language understanding are now available at the Pioneer Centre for AI<https://www.aicentre.dk/>. You can read more about the positions here<https://www.aicentre.dk/jobs>. PhD Fellowship on Factual Text Generation While recent large language models demonstrate surprising fluency and predictive capabilities in their generated text, they have been demonstrated to generate factual inaccuracies even when they have encoded truthful information. This limits their utility and safety in real world scenarios where guarantees of factuality are needed. To address this, the project will explore methods for improving the factuality of text generation with respect to both objective real-world facts and provided source documents. We are looking for candidates with a background in computer science, machine learning, natural language processing, computational social science, or similar. The candidate should have an interest in automatic text generation and fact checking. They should also have an interest in interdisciplinary research endeavors, including at the Pioneer Center for AI. Early research experience, especially with empirical research methods, or relevant industry experience, will be a bonus. The principal supervisor is Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk> and the co-supervisor is Dustin Wright<mailto:dw@di.ku.dk>. Application deadline: 1 April 2024. Apply here<https://candidate.hr-manager.net/ApplicationInit.aspx/?cid=1307&departmentI…>. Postdoctoral Fellowship on NLP for Computational Social Science The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing. NLP is becoming an increasingly powerful tool for social scientists. Yet, the intersection between the two disciplines is still poorly explored, with research in the two disciplines often being conducted as separate streams. The goal of this project is to research methods which can more directly be useful for downstream social science applications. One such application is to analyse common narratives in news, which requires methods including (interpretable) topic modelling, framing detection, social media analysis, etc. The successful candidate will be affiliated with a larger initiative on narrative analysis, spanning different content modalities, with the autonomy to define their project in this larger context. The research will be conducted in collaboration with researchers at the Pioneer Centre for Artificial Intelligence’s Speech and Language Collaboratory, CopeNLU<https://www.copenlu.com/> and the Belongie Lab<https://www.belongielab.org/>. Inquiries about the position can be made to Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk>. Application deadline: 7 April 2024. Apply here<https://jobportal.ku.dk/videnskabelige-stillinger/?show=161353>. Postdoctoral Fellowship on Multi-Modal Fact Checking The Pioneer Centre for AI and Department of Computer Science at the University of Copenhagen invite applications for a 2-year postdoctoral full-time research position in the domain of Natural Language Processing. Online content can include multiple different modalities, ranging from text to images or tables. Increasingly, detecting false information requires the understanding of a combination of these modalities and the relationship between them. This project will focus on developing general-purpose multi-modal methods for automatic fact checking in various domains, such as scientific publications, news or social media. Inquiries about the position can be made to Professor Isabelle Augenstein<mailto:augenstein@di.ku.dk> or Assistant Professor Desmond Elliot<mailto:de@di.ku.dk>. Application deadline: 7 April 2024. Apply here<https://jobportal.ku.dk/videnskabelige-stillinger/?show=161352>. Isabelle Augenstein, Dr. Scient., Ph.D. Professor and Head of the NLP Section, Department of Computer Science (DIKU) Co-Lead, Pioneer Centre for Artificial Intelligence University of Copenhagen Østervold Observatory Øster Voldgade 3 1350 Copenhagen augenstein(a)di.ku.dk<mailto:augenstein@di.ku.dk> http://isabelleaugenstein.github.io/

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[CfP] DLnLD: Deep Learning and Linked Data — LREC-COLING Workshop — Last CfP
by Gilles Sérasset 26 Mar '24

26 Mar '24

DLnLD: Deep Learning and Linked Data — Last Call for Paper Workshop colocated with LREC-COLING 2024, Date: May 21, 2024 Submissions due: 9th March 2024 Venue: Torino, Italy and online For up to date info, check: https://dl-n-ld.github.io/ <https://dl-n-ld.github.io/> Call for Papers ---------------------------------------------------------------------------------------- What does Linguistic Linked Data brings to Deep Learning and vice versa ? Let’s bring together these two complementary approaches in NLP. ---------------------------------------------------------------------------------------- Motivations for the Workshop Since the appearance of transformers (Vaswani et al., 2017), Deep Learning (DL) and neural approaches have brought a huge contribution to Natural Language Processing (NLP) either with highly specialized models for specific application or via Large Language Models (LLMs) (Devlin et al., 2019; Brown et al., 2020; Touvron et al., 2023) that are efficient few-shot learners for many NLP tasks. Such models usually build on huge web-scale data (raw multilingual corpora and annotated specialized, task related, corpora) that are now widely available on the Web. This approach has clearly shown many successes, but still suffers from several weaknesses, such as the cost/impact of training on raw data, biases, hallucinations, explainability, among others (Nah et al., 2023). The Linguistic Linked Open Data (LLOD) (Chiarcos et al., 2013) community aims at creating/distributing explicitly structured data (modelled as RDF graphs) and interlinking such data across languages. This collection of datasets, gathered inside the LLOD Cloud (Chiarcos et al., 2020), contains a huge amount of multilingual ontological (e.g. DBpedia (Lehmann et al., 2015)); lexical (e.g., DBnary (Sérasset, 2015), Wordnet (McCrae et al., 2014), Wikidata (Vrandečić and Krötzsch, 2014)); or linguistic (e.g., Universal Dependencies Treebank (Nivre et al., 2020; Chiarcos et al., 2021), DBpedia Abstract Corpus (Brümmer et al., 2016)) information, structured using common metadata (e.g., OntoLex (McCrae et al., 2017), NIF (Hellmann et al., 2013), etc.) and standardised data categories (e.g., lexinfo (Cimiano et al., 2011), OliA (Chiarcos and Sukhareva, 2015)). Both communities bring striking contributions that seem to be highly complementary. However, if knowledge (ontological) graphs are now routinely used in DL, there is still very few research studying the value of Linguistic/Lexical knowledge in the context of DL. We think that, today, there is a real opportunity to bring both communities together to take the best of both worlds. Indeed, with more and more work on Graph Neural Networks (Wu et al., 2023) and Embeddings on RDF graphs (Ristoski et al., 2019), there is more and more opportunity to apply DL techniques to build, interlink or enhance Linguistic Linked Open Datasets, to borrow data from the LLOD Cloud for enhancing Neural Models on NLP tasks, or to take the best of both worlds for specific NLP use cases. Submission Topics This workshop aims at gathering researchers that work on the interaction between DL and LLOD in order to discuss what each approach has to bring to the other. For this, we welcome contributions on original work involving some of the following (non exhaustive) topics: • Deep Learning for Linguistic Linked Data, among which (but not exclusively): • Modelling, Resources & Interlinking, • Relation Extraction • Corpus annotation • Ontology localization • Knowledge/Linguistic Graphs creation or expansion • Linguistic Linked Data for Deep Learning, among which (but not exclusively): • Linguistic/Knowledge Graphs as training data • Fine tuning LLMs using Linguistic Linked (meta)Data • Graph Neural Networks • Knowledge/Linguistic Graphs embeddings • LLOD for model explainability/sourcing • Neural models for under-resourced languages • Joint Deep Learning and Linguistic Data applications • Use cases combining Language Models and Structured Linguistic Data • LLOD and DL for Digital Humanities • Question-Answering on graph data All application domains (Digital Humanities, FinTech, Education, Linguistics, Cybersecurity…) as well as approaches (NLG, NLU, Data Extraction…) are welcome, provided that the work is based on the use of BOTH Deep Learning techniques and Linguistic Linked (meta)Data. Important Dates All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) • Submissions due: 9th March 2024 (Hard deadline: there will be no deadline extension) • Notification of acceptance: 2nd April 2024 • Camera-ready due: 12th April 2024 Authors kit All papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. LREC-COLING 2024 Author’s Kit Page: https://lrec-coling-2024.org/authors-kit/ <https://lrec-coling-2024.org/authors-kit/> Paper submission Submission is electronic at https://softconf.com/lrec-coling2024/dlnld2024/ <https://softconf.com/lrec-coling2024/dlnld2024/> Workshop Chairs • Gilles Sérasset, Université Grenoble Alpes, France • Hugo Gonçalo Oliveira, University of Coimbra, Portugal • Giedre Valunaite Oleskeviciene, Mykolas Romeris University, Lithuania Program Committee • Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France • Russa Biswas, Hasso Plattner Institute, Potsdam, Germany • Milana Bolatbek, Al-Farabi Kazakh National University, Kazakhstan • Michael Cochez, Vrije Universiteit Amsterdam, Netherlands • Milan Dojchinovski, Czech Technical University in Prague, Czech Republic • Basil Ell, University of Oslo, Norway • Robert Fuchs, University of Hamburg, Germany • Radovan Garabík, L’. Štúr Institute of Linguistics, Slovak Academy of Sciences, Slovakia • Daniela Gifu, Romanian Academy, Iasi branch & Alexandru Ioan Cuza University of Iasi, Romania • Katerina Gkirtzou, Athena Research Center, Maroussi, Greece • Jorge Gracia del Río, University of Zaragoza, Spain • Dagmar Gromann, University of Vienna, Austria • Dangis Gudelis, Mykolas Romeris University, Lithuania • Ilan Kernerman, Lexicala by K Dictionaries, Israel • Chaya Liebeskind, Jerusalem College of Technology, Israel • Marco C. Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy • Heiko Paulheim, University of Mannheim, Germany • Alexandre Rademaker, IBM Research Brazil and EMAp/FGV, Brazil • Georg Rehm, DFKI GmbH, Berlin, Germany • Harald Sack, Karlsruhe Institute of Technology, Karlsruhe, Germany • Didier Schwab, Université Grenoble Alpes, France • Ranka Stanković, University of Belgrade, Serbia • Andon Tchechmedjiev, IMT Mines Alès, France • Dimitar Trajanov, Ss. Cyril and Methodius University – Skopje, Macedonia • Ciprian-Octavian Truică, POLITEHNICA Bucharest, Romania • Nicolas Turenne, Guangdong University of Foreign Studies, China • Slavko Žitnik, University of Ljubljana, Slovenia

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CLASSLA-Express Workshops on Using Corpora in Language Research in Croatia, Serbia, North Macedonia and Slovenia
by Taja Kuzman 26 Mar '24

26 Mar '24

** *Dear all,* * We are excited to extend an invitation to you for a series of five workshops designed to demonstrate the practical applications of the CLASSLA web corpora <https://arxiv.org/abs/2403.12721>in language research. The CLASSLA-Express workshops will take place from April to September 2024 in 4 countries and 5 cities: Croatia (Zagreb and Rijeka), Serbia (Belgrade), North Macedonia (Skopje) and Slovenia (Ljubljana). The workshops will provide hands-on experience in using the CLARIN.SI NoSketch Engine concordancer <https://www.clarin.si/ske/#open>to extract valuable insights on word meanings, usage, collocations, and grammatical patterns from Croatian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_hr>, Macedonian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_mk>, Serbian <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sr>and Slovene <https://www.clarin.si/ske/#concordance?corpname=classlaweb_sl>corpora. The workshops are free of charge. The workshops are tailored for university students of South Slavic languages, linguists, lexicographers, language teachers, and digital humanities scholars. The registration is already open for the workshops in Zagreb, Rijeka and Belgrade! We will make sure to let you know when the registrations in Skopje and Ljubljana open as well. Here are the details of the workshops: * 19 April 2024 – CLASSLA-Express stop in Zagreb, Croatia (Faculty of Humanities and Social Sciences, University of Zagreb). Registration is open – register by filling this form <https://docs.google.com/forms/d/e/1FAIpQLSfVE3VVmBYeQzgZjZO2Om1cRQPCPbPnENp…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…> * 26 April 2024 – CLASSLA-Express stop in Rijeka, Croatia (Center for Language Research, Faculty of Humanities and Social Sciences, University of Rijeka). Registration is open – register by filling this form <https://docs.google.com/forms/d/e/1FAIpQLScWoarqWZQuLTaDGfVQYHpeXfKSlMNb_d2…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…> * 29 May 2024 – CLASSLA-Express stop in Belgrade, Serbia (International conference Leksikografski susreti, Faculty of Philology, University of Belgrade). Registration is open – register by filling this form <https://docs.google.com/forms/d/e/1FAIpQLScLpDUEmJnA43hEASWNWeuCe_3a01hPZLg…>. More information about the programme and location is available here. <https://www.clarin.si/info/wp-content/uploads/2024/03/Poziv-na-radionicu-CL…> * 4 June 2024 – CLASSLA-Express stop in Skopje, North Macedonia (Blaže Koneski Faculty of Philology, Ss. Cyril and Methodius University). Registration is not open yet – we will let you know when it opens. * 18 September 2024 – CLASSLA-Express stop in Ljubljana, Slovenia (Language Technologies & Digital Humanities Conference 2024, University of Ljubljana). Registration is not open yet – we will let you know when it opens. We warmly welcome you to join us at the nearest workshop location. For registration and further details, please visit https://www.clarin.si/info/k-centre/workshops/classla-express/ <https://www.clarin.si/info/k-centre/workshops/classla-express/> We would also like to kindly ask you to spread the word among researchers, students and other interested colleagues. Warm regards, The CLASSLA-Express team: Ivana Filipović Petrović, Jelena Parizoska, Taja Kuzman and Nikola Ljubešić *

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Survey on the appreciation of book reviews
by Chiara Alzetta 26 Mar '24

26 Mar '24

Dear Colleagues, We are researchers from the ItaliaNLP Lab (http://www.italianlp.it/) at the Institute of Computational Linguistics at the National Research Council in Pisa, Italy. We are conducting a study aimed at designing and developing solutions to promote the practice of leisure reading. Our activities are part of the research project "Letture Per Te - LETTERE" funded by the Region of Tuscany in the context of the "Regional Pact for Reading" (DGR 463/2019). We'd like to invite you to contribute to our research by taking part in a survey to collect data on the enjoyment of reviews written by amateur readers. We ask participants to rate some reviews of fiction books based on three parameters: informativeness, style and appreciation. Participation in the survey is voluntary and takes about 17 minutes. The only requirement for taking part in the survey is being *Italian native speakers*. Your answers will help us understand which aspects influence the liking of a novel review and what makes them more or less appealing. To involve a wide audience, we are spreading this invitation through this mailing list. Please share this e-mail with your colleagues who might be interested in participating. To fill out the survey, please follow this link: https://forms.gle/JmCcDwjYnf32p8Ns8 We thank you in advance for your help. Please do not hesitate to contact us if you have any questions about the survey. Best regards, Chiara Alzetta <chiara.alzetta(a)ilc.cnr.it> Alessio Miaschi <alessio.miaschi(a)ilc.cnr.it> Giulia Venturi <giulia.venturi(a)ilc.cnr.it>

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[CfP] 2nd CfP: SEMANTiCS 2024 EU || Sep 17 - 19, 2024 || Amsterdam, The Netherlands
by SEMANTiCS 26 Mar '24

26 Mar '24

==== SEMANTiCS - 20th International Conference on Semantic Systems Amsterdam, The Netherlands September 17 - 19, 2024 https://2024-eu.semantics.cc/ <https://2024-eu.semantics.cc/> ==== The Research and Innovation track at SEMANTiCS 2024 welcomes papers on novel scientific research and innovations relevant to the Semantic Web, Semantic Technologies, and semantic-enabled AI. We also welcome submissions at the intersection between this field and other scientific disciplines. Submissions should be original and should not have been published elsewhere in any form or language. Papers must adhere to the instructions given in the submission guidelines, including references and optional appendices. Each submission will receive at least three independent reviews and will be evaluated based on their novelty, technical quality, reproducibility, and practical significance. = Important Dates = * Abstract Submission Deadline: April 22, 2024 * Paper Submission Deadline: April 29, 2024 * Notification of Acceptance: June 11, 2024 * Camera-Ready Paper: July 09, 2024 All deadlines are set for 11:59 pm, Anywhere On Earth time (UTC-12) Submissions will be through Easychair. https://easychair.org/conferences/?conf=sem24 <https://easychair.org/conferences/?conf=sem24> Proceedings of SEMANTiCS 2024 EU will be made available open access. The publisher will be TIB Open Publishing. SEMANTiCS 2024 calls for submissions of excellent quality addressing the following topics in the Semantic Web area, from both theoretical and practical perspectives. = Topics of Interest = * Topics of interest include, but are not limited to: * Web Semantics & Linked (Open) Data * Enterprise Knowledge Graphs, Graph Data Management * Machine Learning Techniques for/using Knowledge Graphs (e.g. reinforcement learning, deep learning, data mining and knowledge discovery) * Interplay between generative AI and Knowledge Graphs (e.g., RAG approach) * Knowledge Management (e.g. acquisition, capture, extraction, authoring, integration, publication) * Terminology, Thesaurus & Ontology Management, Ontology engineering * Reasoning, Rules, and Policies * Natural Language Processing for/using Knowledge Graphs (e.g. entity linking and resolution using target knowledge such as Wikidata and DBpedia, foundation models) * Crowdsourcing for/using Knowledge Graphs * Data Quality Management and Assurance * Mathematical Foundation of Knowledge-aware AI * Multimodal Knowledge Graphs * Semantics in Data Science * Semantics in Blockchain environments * Trust, Data Privacy, and Security with Semantic Technologies * IoT, Stream Processing, dealing with temporal data * Conversational AI and Dialogue Systems * Provenance and Data Change Tracking * Semantic Interoperability (via mapping, crosswalks, standards, etc.) * Linked Data storage, triple stores, graph databases * Robust and scalable management, querying and analysis of semantics and data * User interfaces for the Semantic Web & its management * Explainable and Interoperable AI * Decentralised and Federated Knowledge Graphs (e.g., Federated querying, link traversal) Application of Semantically-Enriched and AI-Based Approaches, such as, but not limited to: * Knowledge Graphs in Bioinformatics, Medical AI and preventive healthcare * Clinical Use Case of semantic-enabled AI-based Approaches * AI for Environmental Challenges * Semantics in Scholarly Communication and Scientific Knowledge Graphs * AI and LOD within GLAM (galleries, libraries, archives, and museums) institutions * Knowledge Graphs & hybrid AI for predictive maintenance and Industry 4.0/5.0 * Digital Humanities and Cultural Heritage * LegalTech, AI Safety, EU AI Act * Economics of Data, Data Services, and Data Ecosystems = Author Guidelines and Submission = For Submission Guidelines and Review and Evaluation Criteria please head to the online call for papers: https://2024-eu.semantics.cc/page/cfp_rev_rep <https://2024-eu.semantics.cc/page/cfp_rev_rep> For details please go to: https://2024-eu.semantics.cc/ <https://2024-eu.semantics.cc/> We are looking forward to your contribution! Mehwish Alam, Femke Ongenae & Angelo Salatino Research and Innovation Track Chairs

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CFP: Multimodal & Generative QA in Dermatology (MEDIQA-MAGIC) @ImageCLEF 2024
by Asma Ben Abacha 25 Mar '24

25 Mar '24

Dear all, If you are interested in multimodal medical question answering, we are organizing the MEDIQA-MAGIC competition on answer generation from dermatology images @ CLEF 2024 <https://clef2024.imag.fr/>, Grenoble, France. The training and validation sets have been released: - *Website*: https://www.imageclef.org/2024/medical/mediqa - *Evaluation Platform*: https://ai4media-bench.aimultimedialab.ro/competitions/20/ If you have any questions, please email us at mediqa.organizers(a)gmail.com and join the MEDIQA mailing list for more updates: https://groups.google.com/g/mediqa-nlp MEDIQA <https://sites.google.com/view/mediqa2024> Organizers: - Asma Ben Abacha, Microsoft - Wen-wai Yim, Microsoft - Meliha Yetisgen, University of Washington - Fei Xia, University of Washington

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Quechua to Spanish Dialectal and Low-Resource Track at IWSLT 2024 @ ACL
by John Ortega 25 Mar '24

25 Mar '24

[Apologies for cross-posting] We need your help to preserve indigenous languages! Due to the overwhelming success of previous workshops like LoResMT and AmericasNLP we have decided to continue to push the needle for Quechua to Spanish translations. Please participate in the 2024 edition of the QUE-SPA speech translation shared task being held at IWSLT 2024. This low-resource task will help increase language preservation for low-resource languages. We invite advanced research and approaches of all types so bring your rule-based, statistical, neural, and more! IMPORTANT LINKS Dialectal and Low-resource webpage: https://iwslt.org/2024/low-resource Data webpage: https://github.com/Llamacha/IWSLT2024_Quechua_data Google Group: https://groups.google.com/g/iwslt-evaluation-campaign IWSLT conference webpage: https://iwslt.org/2024 HOW TO PARTICIPATE Please join the IWSLT Evaluation Campaign Google Group and access the registration using the following link: https://groups.google.com/g/iwslt-evaluation-campaign The QUE-SPA data set can be downloaded here: https://github.com/Llamacha/IWSLT2024_Quechua_data Task submissions can be uploaded to GitHub, please email the organizers for more details. Evaluation scripts based on BLEU are made available via the IWSLT 2024 website. IMPORTANT DATES Jan 15, 2024 Release of shared task training and dev data Apr 1-15, 2024 Evaluation period Apr 29, 2024 Paper submission deadline (all papers) June 4, 2024 Notification of acceptance June 24, 2024 Camera ready paper due July 22, 2024 Pre-recorded video due August 17-18, 2024 IWSLT conference ORGANIZING COMMITTEE John E. Ortega (Northeastern University) William Chen (Carnegie Mellon University) Rodolfo Zevallos (Universitat Pompeu Fabra) Ibrahim Said Ahmad (Northeastern University)

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Call for Workshop Papers - ReNeuIR Workshop @ SIGIR 2024
by Martin Potthast 25 Mar '24

25 Mar '24

We invite you to participate in the SIGIR 2024 Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR). The workshop aims to foster discussion and collaboration on holistic evaluation of methods in the age of neural information retrieval (NIR), noting that effectiveness matters but so does the computational cost incurred to achieve it. Specific areas of interest include (but are not limited to): - Novel Neural IR (NIR) models that reach competitive quality but are designed to provide fast training or fast inference; - Efficient NIR models for decentralized IR tasks such as conversational search; - Strategies to speed up training or inference of existing NIR models; - Sample-efficient training of NIR models; - Efficiency-driven distillation, pruning, quantization, retraining, and transfer learning; - Empirical investigation of the complexity of existing NIR models through an analysis of quality, interpretability, robustness, and environmental impact; and, - Evaluation protocols for efficiency in NIR. We accept both original submissions, as well as extensions or revisions to existing work. Papers can be submitted in two lengths – shorter poster submissions, and longer article submissions. Please see the website for more information: https://reneuir.org/cfp.html ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- May 15, 2024: Paper submission deadline June 7, 2024: Notification of acceptance for scientific papers July 18, 2024: Workshop (co-located with SIGIR 2024 in Washington) July 31, 2024: Final Proceedings Deadline (yes, after the conference) ------------------------------------------------------------------------------- Questions? Please contact us! reneuir2024(a)easychair.org Best regards, ReNeuIR team

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Call for Shared Task Participation - ReNeuIR Workshop @ SIGIR 2024
by Martin Potthast 25 Mar '24

25 Mar '24

We invite you to participate in the first shared task of the SIGIR 2024 Workshop on Reaching Efficiency in Neural Information Retrieval (ReNeuIR). The workshop aims to foster discussion and collaboration on the holistic evaluation of methods in the age of neural information retrieval (NIR), noting that effectiveness matters, but so does the computational cost incurred to achieve it. Shared Task Overview Our shared task aims to develop a more comprehensive understanding of the efficiency-vs-effectiveness landscape with the goal of promoting better metrics and deeper investigation into this area. It is based on the MS MARCO (version one) passage collection and focuses on batch processing an entire log of queries. We invite the community to submit either a source repository or a docker image of their approaches for cloud-based evaluation, and we provide detailed instructions/tutorials to assist with this process. Please see the website for more information: https://reneuir.org/shared_task.html ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- June 26, 2024: Shared task oral presentation deadline July 18, 2024: Workshop (co-located with SIGIR 2024 in Washington) July 31, 2024: Final Proceedings Deadline (yes, after the conference) ------------------------------------------------------------------------------- Questions? Please contact us! reneuir2024(a)easychair.org Best regards, ReNeuIR team

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Workshop on COuntering Disinformation with AI @ECAI: CFP (Deadline extended)
by Rajesh Sharma 25 Mar '24

25 Mar '24

Dear All, We invite paper submissions to the Workshop on COuntering Disinformation with AI (CODAI), which will take place on 20 October at ECAI 2024. *Website:* https://codai2024.github.io/ *Important dates* Submission deadline: 15th May 2024 Accept/Reject Communications: 1st July 2024 Camera-ready papers due: 22nd July 2024 Workshop date: 20 October 2024 All deadlines are 11:59 pm UTC-12 (“anywhere on earth”). *Overview* Social media platforms which have been designed primarily to allow users to create and share content with others, have become integral parts of modern communication, enabling people to connect with each other as well as for broadcasting information to a wider audience. On one side these platforms provide an opportunity to facilitate discussions in an open and free environment. On the flip side, new societal issues have started emerging on these platforms. Among all the issues, the topic of misinformation has been prevalent on these platforms. The term misinformation is an umbrella term which encompasses various entities such as fake news, hoaxes, rumors to name a few. While misinformation refers to non-intentional spread of non-authentic information, the term disinformation points to spreading of a piece of inauthentic information with certain malign intentions. *Topics* Areas of interest to include, but are not limited to, the following: - Information diffusion models for understanding and thwarting the spread of low-quality information; - Characterization and detection of coordinated inauthentic behavior; - Novel techniques for detecting malicious accounts (e.g., bots, cyborgs and trolls); - Information diffusion models for understanding and thwarting the spread of low-quality information; - Understanding and detection of disinformation; - Study, inference and detection of narratives in disinformation campaigns; - Impact/Harm of misinformation on society. - Case-studies on the spread and impact of fake news in controversial topics such as politics, health, climate change, economics, migration. - Social and psychological studies, or data analytics related to misinformation spreaders. - Metrics, tools and methods for measuring the impact of fake news and of coordinated inauthentic behaviors; - Datasets for evaluation. *Submission Link:* https://chairingtool.com/ *Submission Types* *Original submissions:* Submissions about unpublished ideas will be reviewed by a double-blind process and should be anonymous. *Transferred papers* In addition to regular paper submissions, we also consider accepting papers rejected from the main conference. Decisions about acceptance of these transferred papers will be based on the reviews of the ECAI PC. Accepted submissions will be presented at the workshop as oral presentations. *Format and styling* Submissions should be formatted according to the ECAI formatting instructions and not exceed 7 pages (plus 1 extra page for references). All submissions should use the ECAI 2024 template and formatting requirements specified by ECAI. Please send any questions about the workshop to codaihelp(a)gmail.com *Organisers* Rajesh Sharma, University of Tartu, Estonia Anselmo Peñas, Universidad Nacional de Educación a Distancia (UNED), Spain

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Senior Research Scientist (m/f/x/d) position offered by Genaios APPLICATION FORM
by ainhoa.avila＠genaios.ai 25 Mar '24

25 Mar '24

Dear list members, APPLY HERE: https://genaios.factorialhr.es/apply/senior-research-scientist-m-f-x-d-54945 LINK TO THE JOB AD: https://genaios.factorialhr.es/job_posting/senior-research-scientist-m-f-x-… I am thrilled to announce you an exciting opening at Genaios: we are now looking for a Senior Research Scientist (m/f/x/d) for our Research team in Valencia (Spain). In this position, you will play a key role in the team and will have the opportunity to participate and lead innovative projects in different NLP areas: fact-checking, text similarity analysis, plagiarism detection, opinion mining, author profiling, etc. Your work will attempt to improve the company's products and be aligned to customers needs. In addition, at Genaios we will also encourage you to explore new research ideas and to publish in blogs, forums, reputable research conferences and journals. Join our team and you will have the opportunity to work with NLP researchers and data scientists with an international background and an important research publication record. If you’re passionate about solving scientific problems and creating deep learning models using cutting edge technology, this is the role for you! Your job will be -Collaborate and lead the different research NLP projects -Mentor and support your junior colleagues on research-related matters -Designing and implementing machine and deep learning-based NLP workflows and algorithms in alignment with the business needs -Deliver scalable and maintainable solution using the latest cutting-edge technology -Identification and evaluation of strategic innovations (concepts, tools/languages, technologies, services) in the field of NLP and deep learning -Constant personal development in new technologies -Publish articles in blogs, forums, and prestigious NLP/AI conferences and journals -Represent the company in the research community Your profile -Bachelor’s degree in computer science, telecommunication technologies, or similar -Master’s degree in NLP, deep learning, or similar -+5 years experience as a researcher in NLP and deep learning-related tasks -Fluency in English -Experience in publishing research material -Advanced python programming skills -Experience in at least one of the following tasks: fact-checking, text similarity analysis, plagiarism detection, or author profiling -Advanced knowledge of one of the following technologies: keras, tensorflow, pytorch, or JAX -Experience with text classification, sequence labeling, model selection, evaluation and result analysis -Knowledge of the following technologies: git and docker -Knowledge of, and/or experience with API and web service development in python; agile methodologies; cloud computing solutions; cloud devops services (Azure, AWS, or Google cloud) -Respectfulness; teamwork skills; organizational and planning skills; leadership skills; communication skills; creativity; proactivity; problem solving; autonomy Preferred Skills and Experience -PhD in natural language processing, deep learning, or similar -+2 years experience as a researcher in industry -Experience mentoring and supervising research staff -Spanish language is a plus -Knowledge of the following technologies: kubernetes -Knowledge of multilingual and multi-task classification; adversarial architectures; online learning methodologies; model compression (pruning, quantization, distillation…) -Knowledge of the following technologies: bash, ssh, linux terminal, SQL, FastAPI, swagger, and NVIDIA Triton Inference Server About the interview process -The first interview will be with HR, to inform you about the position and determine your suitability for the role -The second interview will be with the Chief Scientific Officer (CSO), to share information about the team and talk about your past experience and skills -The final interview will be with the CSO and another Research colleague. In this interview you will have the opportunity to show us everything you know. We will delve into technology, NLP and deep learning. We will also conduct a science-related coding test. Finally, we will present you some practical scenarios so that you can give us your best solution or proposal What we offer -A well-funded early-stage startup with the opportunity to build from the ground-up -Possibility to publish in blogs, fora, and reputable research conferences and journals -A company laptop plus access to GPU servers to conduct your research -Great people to work with in an international environment -Work on Innovative projects and solutions -Training in new technologies and domains -Flexible working time -28 vacation days -Home Office possibility -Chance to develop and grow with the company -Out-of-office events -...and to be a part of something that is going to change the way we use AI forever!

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Senior Research Scientist (m/f/x/d) position offered by Genaios
by ainhoa.avila＠genaios.ai 25 Mar '24

25 Mar '24

Dear list members, I am thrilled to announce you an exciting opening at Genaios: we are now looking for a Senior Research Scientist (m/f/x/d) for our Research team in Valencia (Spain). In this position, you will play a key role in the team and will have the opportunity to participate and lead innovative projects in different NLP areas: fact-checking, text similarity analysis, plagiarism detection, opinion mining, author profiling, etc. Your work will attempt to improve the company's products and be aligned to customers needs. In addition, at Genaios we will also encourage you to explore new research ideas and to publish in blogs, forums, reputable research conferences and journals.  Join our team and you will have the opportunity to work with NLP researchers and data scientists with an international background and an important research publication record. If you’re passionate about solving scientific problems and creating deep learning models using cutting edge technology, this is the role for you! Your job will be -Collaborate and lead the different research NLP projects -Mentor and support your junior colleagues on research-related matters -Designing and implementing machine and deep learning-based NLP workflows and algorithms in alignment with the business needs -Deliver scalable and maintainable solution using the latest cutting-edge technology -Identification and evaluation of strategic innovations (concepts, tools/languages, technologies, services) in the field of NLP and deep learning -Constant personal development in new technologies -Publish articles in blogs, forums, and prestigious NLP/AI conferences and journals -Represent the company in the research community Your profile -Bachelor’s degree in computer science, telecommunication technologies, or similar -Master’s degree in NLP, deep learning, or similar -+5 years experience as a researcher in NLP and deep learning-related tasks -Fluency in English -Experience in publishing research material -Advanced python programming skills -Experience in at least one of the following tasks: fact-checking, text similarity analysis, plagiarism detection, or author profiling -Advanced knowledge of one of the following technologies: keras, tensorflow, pytorch, or JAX -Experience with text classification, sequence labeling, model selection, evaluation and result analysis -Knowledge of the following technologies: git and docker -Knowledge of, and/or experience with API and web service development in python; agile methodologies; cloud computing solutions; cloud devops services (Azure, AWS, or Google cloud) -Respectfulness; teamwork skills; organizational and planning skills; leadership skills; communication skills; creativity; proactivity; problem solving; autonomy Preferred Skills and Experience -PhD in natural language processing, deep learning, or similar -+2 years experience as a researcher in industry -Experience mentoring and supervising research staff -Spanish language is a plus -Knowledge of the following technologies: kubernetes -Knowledge of multilingual and multi-task classification; adversarial architectures; online learning methodologies; model compression (pruning, quantization, distillation…) -Knowledge of the following technologies: bash, ssh, linux terminal, SQL, FastAPI, swagger, and NVIDIA Triton Inference Server About the interview process -The first interview will be with HR, to inform you about the position and determine your suitability for the role -The second interview will be with the Chief Scientific Officer (CSO), to share information about the team and talk about your past experience and skills -The final interview will be with the CSO and another Research colleague. In this interview you will have the opportunity to show us everything you know. We will delve into technology, NLP and deep learning. We will also conduct a science-related coding test. Finally, we will present you some practical scenarios so that you can give us your best solution or proposal What we offer -A well-funded early-stage startup with the opportunity to build from the ground-up -Possibility to publish in blogs, fora, and reputable research conferences and journals -A company laptop plus access to GPU servers to conduct your research -Great people to work with in an international environment -Work on Innovative projects and solutions -Training in new technologies and domains -Flexible working time -28 vacation days -Home Office possibility -Chance to develop and grow with the company -Out-of-office events -...and to be a part of something that is going to change the way we use AI forever!

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[CIKM 2024] - Call for Tutorials
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-tutorials/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings. CIKM 2024 solicits proposals for both half and full-day tutorials from active and experienced researchers and practitioners covering topics relevant to CIKM. Areas of interest include information retrieval, knowledge management, data science, artificial intelligence, and other related areas of relevance to the CIKM community. We invite proposals for tutorials that target various levels of expertise and interests. We also welcome the submission of hands-on tutorials, for instance using notebooks that combine theoretical concepts with practical exercises. We encourage the submission of cutting-edge tutorials that cover advances in newly emerging areas. Each tutorial should cover a specific topic of interest in depth. The goal is to provide a self-contained overview of a topic, and then connect to state-of-the- art research and developments in the associated area of interest. For example, tutorials may cover an established sub-topic, introduce an emerging application in the area, or update the CIKM community on recent advances in related fields. Tutorials are expected to be presented in person. -------------------------- Key Dates -------------------------- * Tutorials proposal: 14 June 2024 * Tutorials notification: 5 July 2024 * Camera ready: 8 August 2024 * Tutorial day: 21 October 2024 (Monday) (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Each tutorial proposal must include the following information: * Title of the tutorial * Length (either half-day, i.e., 3 hours plus breaks; or full-day, i.e., 6 hours plus breaks) * Abstract of up to 150 words. * Target audience, prerequisites, and benefits. Proposals must clearly identify the intended audience for the tutorial (e.g., novice users of statistical techniques, versus expert researchers in text mining). What background will be required of the audience? Why is this topic important and interesting to the CIKM community? What is the benefit to participants? * Outline of the tutorial. Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more details provided, the better (up to and including links to the actual slides). Presenters should not focus exclusively on their own research results – a CIKM tutorial is not meant to be a forum for promoting one’s own research or product. * A list of the most important references that will be covered in the tutorial. * A list of forums, dates, and locations where this or a closely related tutorial has been presented before. Please highlight the similarities and differences between previous related tutorials, and the one proposed for CIKM 2023, using up to 150 words for each. * A short bio for each presenter, including their expertise related to the tutorial. Please do not exceed 200 words per presenter. * (Optional) URLs of the slides/notes of the previous presentations of this tutorial by the current set of authors. * Any specific audio, video, or computer requirements for presenting the tutorial. The length of the whole proposal should be limited to 4 pages in the ACM proceedings template (double column). Instructions and suitable LATEX, Microsoft Word, and Overleaf templates are available from the ACM Website (use the “sigconf” proceedings template): ACM Primary Article Template. Please submit your tutorial proposal as a PDF file, choosing the “tutorial track” on the CIKM 2024 online submission system. Please note that the organizers of accepted tutorials will be invited to submit a camera-ready summary of the tutorial, to be included in the CIKM 2024 conference proceedings. -------------------------- Selection Procedure -------------------------- The selection process will prioritize: * The ability of the tutorial to contribute to strengthening the foundations of CIKM-related research or to broaden the field to look at important new challenges and techniques. * Likely audience interest * The experience and skill of the presenters * The value of any materials released with the tutorial for the community. -------------------------- Chairs Contact Information -------------------------- For further information, please contact the Tutorial Chairs at: CIKM2024-tutorial [at] easychair [dot] org Dafna Shahaf, The Hebrew University of Jerusalem, Isreal Mahantesh Halappanavar, Pacific Northwest National Laboratory, USA

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[CIKM 2024] - Call for Tutorials
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-tutorials/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) provides an international forum for the presentation and discussion of research on information and knowledge management, as well as recent advances in data and knowledge bases. The purpose of the conference is to identify challenging problems facing the development of future knowledge and information systems, and to shape future directions of research by soliciting and reviewing high-quality, applied and theoretical research findings. CIKM 2024 solicits proposals for both half and full-day tutorials from active and experienced researchers and practitioners covering topics relevant to CIKM. Areas of interest include information retrieval, knowledge management, data science, artificial intelligence, and other related areas of relevance to the CIKM community. We invite proposals for tutorials that target various levels of expertise and interests. We also welcome the submission of hands-on tutorials, for instance using notebooks that combine theoretical concepts with practical exercises. We encourage the submission of cutting-edge tutorials that cover advances in newly emerging areas. Each tutorial should cover a specific topic of interest in depth. The goal is to provide a self-contained overview of a topic, and then connect to state-of-the- art research and developments in the associated area of interest. For example, tutorials may cover an established sub-topic, introduce an emerging application in the area, or update the CIKM community on recent advances in related fields. Tutorials are expected to be presented in person. -------------------------- Key Dates -------------------------- * Tutorials proposal: 14 June 2024 * Tutorials notification: 5 July 2024 * Camera ready: 8 August 2024 * Tutorial day: 21 October 2024 (Monday) (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Each tutorial proposal must include the following information: * Title of the tutorial * Length (either half-day, i.e., 3 hours plus breaks; or full-day, i.e., 6 hours plus breaks) * Abstract of up to 150 words. * Target audience, prerequisites, and benefits. Proposals must clearly identify the intended audience for the tutorial (e.g., novice users of statistical techniques, versus expert researchers in text mining). What background will be required of the audience? Why is this topic important and interesting to the CIKM community? What is the benefit to participants? * Outline of the tutorial. Enough material should be included to provide a sense of both the scope of material to be covered and the depth to which it will be covered. The more details provided, the better (up to and including links to the actual slides). Presenters should not focus exclusively on their own research results – a CIKM tutorial is not meant to be a forum for promoting one’s own research or product. * A list of the most important references that will be covered in the tutorial. * A list of forums, dates, and locations where this or a closely related tutorial has been presented before. Please highlight the similarities and differences between previous related tutorials, and the one proposed for CIKM 2023, using up to 150 words for each. * A short bio for each presenter, including their expertise related to the tutorial. Please do not exceed 200 words per presenter. * (Optional) URLs of the slides/notes of the previous presentations of this tutorial by the current set of authors. * Any specific audio, video, or computer requirements for presenting the tutorial. The length of the whole proposal should be limited to 4 pages in the ACM proceedings template (double column). Instructions and suitable LATEX, Microsoft Word, and Overleaf templates are available from the ACM Website (use the “sigconf” proceedings template): ACM Primary Article Template. Please submit your tutorial proposal as a PDF file, choosing the “tutorial track” on the CIKM 2024 online submission system. Please note that the organizers of accepted tutorials will be invited to submit a camera-ready summary of the tutorial, to be included in the CIKM 2024 conference proceedings. -------------------------- Selection Procedure -------------------------- The selection process will prioritize: * The ability of the tutorial to contribute to strengthening the foundations of CIKM-related research or to broaden the field to look at important new challenges and techniques. * Likely audience interest * The experience and skill of the presenters * The value of any materials released with the tutorial for the community. -------------------------- Chairs Contact Information -------------------------- For further information, please contact the Tutorial Chairs at: CIKM2024-tutorial [at] easychair [dot] org Dafna Shahaf, The Hebrew University of Jerusalem, Isreal Mahantesh Halappanavar, Pacific Northwest National Laboratory, USA

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[CIKM 2024] - Call for Workshops
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-workshops/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The ACM Conference on Information and Knowledge Management (CIKM) is the premier international conference on topics at the confluence of information retrieval, databases, and knowledge management. Running annually since 1992, CIKM attracts top talent from industry and academia with the goal of fostering collaboration and bridging the academic-commercial gap in the database, information retrieval, machine learning, and knowledge management communities. We look for prospective submissions of highly interactive full-/half-day workshops proposing novel research, deepening established research topics, or presenting practical applications on the many aspects of the data lifecycle (data acquisition, pre-processing, modelling, integration/aggregation, storage, analysis, and consumption). Interdisciplinary workshops bridging across different communities are also highly encouraged. Workshops will complement the main CIKM conference to be held in-person at Boise, Idaho, USA, from October 21-25, 2024. The workshops are planned to take place on 25 October 2024. -------------------------- Key Dates -------------------------- * Workshop proposal: 14 June 2024 * Workshop proposal acceptance notification: 5 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Please use the CIKM 2024 Workshop Proposal Template for your submission. Submit the proposal here through Easychair (https://easychair.org/my/conference?conf=cikm2024). Workshop proposals are reviewed based on the quality of the proposal, their relation to the main CIKM topics, the likelihood of attracting enough participants, and the hosting capacity of the conference. -------------------------- Requirements for In-Person Activities -------------------------- The CIKM 2024 conference will be held in-person in Boise, Idaho, USA. To enhance the in-person experience, it is required for each workshop to at least plan for a subset of the organizers to be attending the conference and organizing the workshops in-person. -------------------------- Recommended Dates for Paper Submissions to the Workshops -------------------------- * Paper submission deadline: 29 July 2024: * Paper notification (highly desirable): 30 August 2024: * Workshop date: 25 October 2024: Exact workshop paper submission and author notification due dates are at the discretion of workshop organizers. Note that the paper acceptance notification deadline should remain August 30 (or earlier), so authors of accepted papers still have at least a week to take advantage of Early-Bird Registration fees. Workshop papers will not be included in the ACM proceedings. Any decision on if and where proceedings are to be archived is left to the organizers. To help preserve the authors’ ability to submit a revised version of their paper to a conference or journal, joining the volume is suggested to be left at the discretion of the authors. -------------------------- Chairs Contact Information -------------------------- For more information, contact the Workshop Chairs at cikm2024-workshop [at] easychair [dot] org Vanessa Braganholo, Instituto de Computação Universidade Federal Fluminense, Brazil Yangqiu Song,Hong Kong University of Science and Technology, Hong Kong

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[CIKM 2024] - Call for Resource Papers
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-resource-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) is a premier forum for researchers and practitioners from academia, industry, and government bodies to share technologies and state-of-the-art research on the emerging aspects of artificial intelligence, data mining, data management, and information retrieval. The resource track at CIKM 2024 provides a unique opportunity to researchers to share and highlight their latest technologies that enable intelligent decision-making, predictive analytics, and machine learning. -------------------------- Key Dates -------------------------- * Resource Papers abstract: 27 May 2024 * Resource Papers: 3 June 2024 * Resource Papers notifications: 16 July 2024 * Camera Ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We welcome submissions on all topics in the general areas of artificial intelligence, machine learning, data science, databases, information retrieval, and knowledge management. An ideal resource paper’s topics of interest include, but are not limited to, the following areas: * Data resources comprising a new and innovative dataset or protocol, or one created using novel methods and/or algorithms * Data resources labelled using novel and well-described annotation and/or crowdsourcing approaches * Software resources to support research on novel application domains or support novel evaluation or benchmark tasks * Software resources such as prototypes and services, open source frameworks, or tools and libraries which support computing, visualization, evaluation and other exploration tasks in data science, data engineering, or information & knowledge management -------------------------- Paper Submissions -------------------------- Recourse papers must be no more than 4 pages long including appendices, plus unlimited pages for references. Supplementary material: It is allowed to cite supplementary materials including source code, videos, datasets, and demonstration prototypes that are accessible via online platforms like GitHub. Reviewers have the discretion to decide whether or not they will review such materials. The review of the resource papers will be single-blind, which means that the authors should include their names and affiliations in the paper. All submissions will be reviewed by the Program Committee of the Resource track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Manuscripts should be submitted to CIKM 2024’s Easychair page in PDF format using the ACM’s two-column template “sigconf”, see https://www.acm.org/publications/proceedings-template. All papers should be submitted via Easychair: https://easychair.org/conferences/?conf=cikm24 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. -------------------------- Authorship Policy -------------------------- Before paper submission, authors should carefully review ACM’s authorship policy, including ACM’s new Publications Policy on Research Involving Human Participants and Subjects https://www.acm.org/publications/policies/research-involving-human-particip… At least one author of each accepted paper must register to present the work at the conference. -------------------------- Guidelines and review rubric for Resource papers -------------------------- Papers presenting a dataset or a benchmark must publish the datasets and metadata using a dataset-sharing service (e.g., Zenodo, Datorium, Dataverse, or any other dataset-sharing service that indexes your dataset and metadata and increase the re-findability of the data) that provides a DOI for the dataset, which should be included in the dataset paper submission. Ethical considerations must be discussed. Authors are encouraged to include a description of how they intend to make their datasets FAIR. We would also encourage authors to consider addressing the questions covered in the Datasheets for Datasets recommendations. For papers detailing code resources, such as libraries, external tools, frameworks, etc., it is imperative that authors adhere to rigorous standards in code sharing and ethical considerations. Specifically, authors should ensure that their code resources are made publicly available through reputable, code-sharing platforms such as GitHub, GitLab, Bitbucket, or similar services that facilitate code access and enhance code reusability, thereby ensuring transparency and reproducibility. We advocate for the incorporation of best practices in code documentation and versioning, urging authors to provide comprehensive documentation covering code functionalities, dependencies, and potential limitations, fostering transparency and usability in research practices. The reviewing guidelines for the resource paper track will focus on the following criteria: * Novelty: - What is new about this resource? - Does the resource represent an incremental advance or something more dramatic? * Availability: - Is the resource available to the reviewer at the time of review? - Are there discrepancies between what is described and what is available? - Are the licensing/terms of use sufficiently open to allow most academic and industry researchers access to the resource? - If the resource is data collected from people, do appropriate human subjects control board (IRB) procedures appear to have been followed and included in the repo? * Utility: - Is the resource well documented? What level of expertise do you expect is required to make use of the resource? - Are there tutorials or examples? Do they resemble actual uses, or are they toy examples? - If the resource is data, are appropriate tools provided for loading that data? - If the resource is data, are the provenance (source, pre-processing, cleaning, aggregation) stages clearly documented? * Predicted Impact: - What CIKM research activity is enabled by the availability of this resource? - Does the resource advance a well-established research area or a brand new one? - Do you expect that this resource will be useful for a long time, or will it need to be curated or updated? If the latter, is that planned? - How large is the (anticipated) research user community? Will that grow or shrink in the next few years? -------------------------- Ethics of Resource Type Papers -------------------------- Resources are expected to be available as described, where “available” means that most researchers in our community could obtain and make use of the resource without strongly limiting the research they can perform with it. Datasets are expected to be collected in accordance with institutional review board standards and ACM standards of ethics. Reviewers are instructed not to use their reviews as an advocacy platform for these issues but to do what they can to help authors bring their resources to fruition. -------------------------- Disclosure of Competing Interests -------------------------- Disclosure of funding and competing interests: Authors are required to provide an explicit disclosure of funding (financial activities supporting the submitted work) and competing interests (related financial activities outside the submitted work) that could result in conflicts of interest in a section (e.g., “Acknowledgments”) that should be added in the submitted version for review. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published or accepted for publication or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. However, submissions are permitted for papers presented or to be presented at conferences or workshops without proceedings or with only abstracts published. Authors may also submit work already available as a preprint (e.g., in arXiv). -------------------------- Desk Rejection Policy -------------------------- Submissions that fail to adhere to the 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’s discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-ma… -------------------------- Chairs Contact Information -------------------------- For more information, contact the resource chairs at: CIKM2024-resources [at] easychair [dot] org Nicolas Kourtellis, Telefonica, Spain Davide Mottin, Aarhus University, Denmark

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[CIKM 2024] - Call for Demo Papers
by antonela.tommasel＠isistan.unicen.edu.ar 25 Mar '24

25 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-demo-papers/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The Conference on Information and Knowledge Management (CIKM) is a premier forum for researchers and practitioners from academia, industry, and government bodies to share technologies and state-of-the-art research on the emerging aspects of artificial intelligence, data mining, data management, and information retrieval. The demo track at CIKM 2024 provides a unique opportunity to share research ideas through prototypes. Accepted demo papers will be part of the main conference proceeding. -------------------------- Key Dates -------------------------- * Demo Papers abstract: 27 May 2024 * Demo Papers: 3 June 2024 * Demo Papers notification: 16 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Topics of Interest -------------------------- We seek demonstrations that showcase exciting new technologies and early prototypes within the scope of CIKM, as well as case studies from more mature systems with innovative features and functionalities. We welcome submissions on all topics in the general areas of artificial intelligence, data mining, data management, information retrieval, and knowledge management. -------------------------- Paper Submissions -------------------------- Demo papers must be no more than 4 pages long including appendices, plus unlimited pages for references. Authors should also prepare a 3 minutes long demonstration video, showcasing the main features of the system. A URL of the video (e.g., YouTube, Dropbox, etc.) should be included in the paper. Supplementary material: It is allowed to cite supplementary materials including source code, datasets, and demonstration prototypes that are accessible via online platforms like GitHub. Reviewers have the discretion to decide whether or not they will review such materials. The review of the demo papers will be single-blind, which means that the authors should include their names and affiliations in the paper. All submissions will be reviewed by the Program Committee of the Demo track, who will evaluate the novelty of the technical features and/or research being presented, the research and/or development challenges, its expected impact, and its timeliness and relevance for the CIKM audience of practitioners and researchers. Manuscripts should be submitted to CIKM 2024’s Easychair page in PDF format using the ACM’s two-column template “sigconf”, see https://www.acm.org/publications/proceedings-template. -------------------------- Guidelines and review rubric -------------------------- Demo papers should describe the intended audience, point out the innovative aspects of the system being presented, and explain how those aspects contribute to the state-of-the-art in the CIKM topics of interest. Each submission must also make clear what the audience will experience during the demo, what kind of functionality is supported, user scenarios, interface and interaction options provided, and how it is compared with existing systems (if any). Submissions that are case studies should also explain the case being demonstrated. Demo papers that describe case studies from mature systems will also be evaluated on the relevance of the system and innovative features and functionalities that are being included in the demonstration. 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. -------------------------- Disclosure of Competing Interests -------------------------- Disclosure of funding and competing interests: Authors are required to provide an explicit disclosure of funding (financial activities supporting the submitted work) and competing interests (related financial activities outside the submitted work) that could result in conflicts of interest in a section (e.g., “Acknowledgments”) that should be added in the submitted version for review. -------------------------- Dual Submission Policy -------------------------- It is not allowed to submit papers that are identical (or substantially similar) to versions that have been previously published or accepted for publication or that have been submitted in parallel to other conferences (or any venue with published proceedings). Such submissions violate our dual-submission policy. However, submissions are permitted for papers presented or to be presented at conferences or workshops without proceedings or with only abstracts published. Authors may also submit work already available as a preprint (e.g., in arXiv). -------------------------- Authorship Policy -------------------------- At least one author of each accepted paper must register to present the work at the conference. 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 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’s discrimination policy. For full details, please visit this site: https://www.acm.org/special-interest-groups/volunteer-resources/officers-ma… -------------------------- Chairs Contact Information -------------------------- For more information, contact the Demo chairs at: CIKM2024-demo [at] easychair [dot] org Nicolas Kourtellis, Telefonica, Spain Davide Mottin, Aarhus University, Denmark

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[ECAI-2024] Call for Nominations for the EurAI Dissertation Award
by luis.magdalena＠gmail.com 25 Mar '24

25 Mar '24

Nominations are now invited for the 2023 Artificial Intelligence Dissertation Award sponsored by EurAI, the European Association of Artificial Intelligence. Eligible are all doctoral theses in AI that were defended between December 2022 and December 2023 at a European university. Full information is available here: https://eurai.org/applications/dissertation-awards Deadline: 31 May 2024 The recipient of the award will be invited to give a talk at the 27th European Conference on Artificial Intelligence (ECAI), which will be held in Santiago de Compostela this October. Refer to https://www.ecai2024.eu for more information on the conference. -- Luis Magdalena Publicity Chair of the European Conference on Artificial Intelligence (ECAI-2024)

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Corpus Linguistics Summer School 2024
by Akira Murakami 25 Mar '24

25 Mar '24

The Centre for Corpus Research at the University of Birmingham is pleased to announce that our Corpus Linguistics Summer School will take place fully online this year on 15–18 July, 2024. https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… Attendance is open to all on a first-come-first-served basis upon completion of the registration process (including payment) through the university’s online shop linked from the above website. Please note that we are planning to hold next year's summer school in-person at the University of Birmingham. Therefore, individuals wishing to attend the summer school remotely are encouraged to take advantage of this year's online format. *Registration fee:* £80 *Speakers:* This year, our participants will have the pleasure to hear contributions by Joyce Kim <https://research.aston.ac.uk/en/persons/joyce-lim> (Aston University), as well as members of our local staff of corpus linguistics, including Edward Clay <https://www.birmingham.ac.uk/staff/profiles/languages/clay-edward>, Dagmar Divjak <https://www.birmingham.ac.uk/staff/profiles/languages/divjak-dagmar.aspx>, Jason Grafmiller <https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/staf…>, Jack Grieve <https://www.birmingham.ac.uk/staff/profiles/elal/grieve-jack.aspx>, Nicholas Groom <https://www.birmingham.ac.uk/staff/profiles/elal/groom-nicholas.aspx>, Petar Milin <https://www.birmingham.ac.uk/staff/profiles/languages/milin-petar.aspx>, Akira Murakami <https://www.birmingham.ac.uk/staff/profiles/elal/murakami-akira.aspx>, Michael Oakes, Florent Perek <https://www.birmingham.ac.uk/staff/profiles/elal/perek-florent.aspx>, Adam Schembri <https://www.birmingham.ac.uk/staff/profiles/elal/schembri-adam.aspx>, Paul Thompson <https://www.birmingham.ac.uk/staff/profiles/elal/thompson-paul.aspx>, and Katharine Weetman <https://www.birmingham.ac.uk/staff/profiles/clinical-sciences/weetman-Katha…>, among others. Dawn Knight <https://profiles.cardiff.ac.uk/staff/knightd5> will be delivering the annual Sinclair Lecture on Monday, 15 July. *Programme:* Our Corpus Linguistics Summer School aims to equip participants with critical expertise in both the theory and practice of corpus-supported linguistic research. Over the course of four days, participants will be actively involved in two kinds of sessions. First, hands-on sessions will put the emphasis on the learning of practical skills for the purpose of extracting and analysing corpus data of various kinds, and the application of this knowledge to specific research projects. Second, participants will learn about current corpus research from our team. *Topics of sessions will include (this is a non-exhaustive list and subject to change):* - Analysing healthcare data using corpus linguistics - Analysing learner language - Behavioral Profile - Corpora and legal research - CQPweb - Fake news - Introduction to R - Phraseology - Sign language corpora - Statistics and readability - Tagging and parsing with spaCy - Topic models For more information and registration, please visit the website below: https://www.birmingham.ac.uk/schools/edacs/departments/englishlanguage/even… Best regards, Akira -- Akira Murakami Assistant Professor Department of English Language and Linguistics University of Birmingham clsummerschool(a)contacts.bham.ac.uk

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Corpora March 2024