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Workshop on Training and Evaluation Data for Italian/Multilingual LLMs - 18 December, Rome
by Roberto Navigli 23 Nov '23

23 Nov '23

*Workshop on Training and Evaluation Data for Italian (and Multilingual) Large Language Models* Call for Participation When: 18/12/2023, Where: DIAG, Sapienza - Aula Magna (first floor), Via Ariosto 25, Roma Organizers: Roberto Navigli (Sapienza University of Rome) Rita Cucchiara (University of Modena and Reggio Emilia; CNR) We are pleased to invite you to the inaugural workshop dedicated to the creation and development of Large Language Models (LLM) for the Italian language (the first step towards an Italian Large Multimodal Model). The event is part of the "Vision, Language, and Multimodal Challenges" Transversal Project of the big PNRR Next-Gen EU project "Future Artificial Intelligence Research" (FAIR) <https://future-ai-research.it/> and is organized in collaboration with the National CINI AIIS laboratory <https://www.consorzio-cini.it/index.php/it/labaiis-home/194-italiano/labora…> (Artificial Intelligence and Information Systems), which serves as the hub of the entire Italian AI community. The workshop, aimed at discussing the collection and selection of training and evaluation datasets for LLMs, will feature the project presentation and several keynote speakers (see agenda below). Should you be interested, please fill in this form <https://docs.google.com/forms/d/e/1FAIpQLSdNte858PJ9_ltHidhA5VmYZ6-QGd_lh7m…>. Seat availability is limited, so before filling the form, if you have any doubt just contact me directly by replying to this email. I hope to see you there! Ciao, Roberto Agenda Introductory session: 14:00 - 14:20 - 14:00 - 14:20 | Project Introduction, Roberto Navigli, Sapienza University of Rome Invited Talks - 1st part: 14:20 - 16:00 - 14:20 - 14:40 | Marta Villegas, Barcelona Supercomputing Center - 14:40 - 15:00 | Georg Rehm, DFKI - 15:00 - 15:20 | Malte Ostendorff, DFKI - 15:20 - 15:40 | Barry Haddow, University of Edinburgh - 15:40 - 16:00 | Sampo Pyysalo, University of Turku Coffee break: 16:00 - 16:30Invited Talks - 2nd part: 16:30 - 17:30 - 16:30 - 16:50 | Pedro Ortiz, DFKI - 16:50 - 17:10 | Magnus Sahlgren, AI Sweden - 17:10 - 17:30 | Roberto Lattanzi, Dip. AI, Garante per la Protezione dei Dati Personali Participant Presentations and Closing: 17:30-18:45 - 17:30 - 18:30 | Presentations by participants (Program under development) - 18:30 - 18:45 | Closing

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Second CfP: MOOMIN @ EACL 2024 - the first workshop on Modular and Open Multilingual NLP
by Tiedemann, Jörg 22 Nov '23

22 Nov '23

Second Call for papers: MOOMIN - the first workshop on Modular and Open Multilingual NLP collocated with EACL 2024, March 21 or 22, 2024 Website: https://moomin-workshop.github.io/ Submission website: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/MOOMIN Invited speakers: Edoardo M. Ponti<https://ducdauge.github.io/> (University of Edinburgh) and Angela Fan<https://ai.meta.com/people/angela-fan/> (Meta AI) We invite submissions to the first edition of the MOOMIN workshop on Modular and Open Multilingual NLP, to be held at EACL 2024 on March 21 or 22, 2024. [Important Dates] * Workshop paper due: December 18, 2023 * Resubmission deadline (for pre-reviewed ARR & main conference submissions): January 17, 2024 * Notification of acceptance: January 20, 2024 * Camera-ready papers due: January 30 2024 * Workshop dates: March 21-22, 2024 [Introduction] NLP in the age of monolithic large language models starts to hit the limits in terms of size and information that can be handled. The trend goes to modularization, a necessary step into the direction of designing smaller sub-networks and components with specialized functionality. This allows researchers to design scalable, wide-coverage, efficient and reusable models. Multilingual NLP is today faced with a number of difficult challenges. Scaling a multilingual model to a high number of languages is prone to suffer from negative interference, also known as the curse of multilinguality, leading to degradation in per-language performance, while earlier approaches to improving model capacity have hit the ceiling in terms of hardware, data and training algorithms. At the same time, we as a community wish to foster the development of open components that can be shared, deployed and widely integrated within the broader research community without incurring computational costs that add to the overall carbon footprint of NLP engineering. Modularity is a practical solution to answer all of these challenges and more, as it offers a very promising set of tools towards increased multilinguality of larger foundation models, either during their pretraining or in a post-hoc post-pretraining manner. [Topics of Interest] With this in mind, the MOOMIN workshop invites contributions related but not limited to the following topics: * mixture of expert models and gated routing * modular pre-training of multilingual language and translation models * effective transfer with modular architectures such as adapters and hypernetworks * efficient parallelization and distribution of modular model training * modular frameworks and architecture implementations * massively multilingual models with large language coverage * subnet selection and pruning * modular distillation * modular extensions of existing NLP models systems, especially in low-resource settings and for low-resource languages * evaluation of modular systems in terms of performance, efficiency, and computational costs * platforms for distributing, sharing, and integrating NLP components [Submission Guidelines] Authors are invited to submit original and unpublished research papers in the following categories: * Full papers (up to 8 pages) for substantial contributions. * Short papers (up to 4 pages) for ongoing or preliminary work. All submissions must be in PDF format, submitted electronically via OpenReview (https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/MOOMIN) and should follow the EACL 2024 formatting guidelines (following the ARR CfP<https://aclrollingreview.org/cfp>: use the official ACL style templates, which are available here<https://github.com/acl-org/acl-style-files>). We also intend to invite papers accepted to Findings to reach out to the organizing committee of MOOMIN to present their papers at the workshop, if in line with the topics as described above. [Workshop Organizers] * Timothee Mickus, University of Helsinki * Jörg Tiedemann, University of Helsinki * Ahmet Üstün, Cohere For AI * Raúl Vázquez, University of Helsinki * Ivan Vulić, University of Cambridge & PolyAI [Program Committee] A list of program committee members will be available on the workshop website. [Contact] For inquiries, please contact moomin.nlp.workshop(a)gmail.com<mailto:moomin.nlp.workshop@gmail.com>

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2nd Call for abstracts UniDive 2nd general meeting, University of Naples L’Orientale, Italy, 7-9 February 2024
by jmonti＠unior.it 22 Nov '23

22 Nov '23

UniDive is a COST action, i.e. a scientific network, dedicated to universality, diversity and idiosyncrasy in language technology (https://unidive.lisn.upsaclay.fr/doku.php?id=start) . It is structured around 4 Working Groups: - WG1: Corpus annotation - WG2: Lexicon-corpus interface - WG3: Multilingual and cross-lingual language technology - WG4: Quantifying and promoting diversity The second general meeting of the action will take place on February 7-9, 2024 at the University of Naples L’Orientale in Italy (www.unior.it). We invite UniDive WG members to submit abstract proposals related to the scientific program of the WGs. Proposals may describe diverse types of contributions, according to 3 different tracks: - Planned work - Work in progress - Complete work, also previously published A proposal should be anonymous, written in English and submitted in pdf only. It should include (on the title page) the list of the relevant WGs, but in the submission form only one WG can be selected as the main one. It should not exceed 2 pages, including figures and tables (bibliographic references may go beyond the 2-page limit). If linguistic examples from languages other than English are included, those should be glossed and translated into English, and an extra half page is allowed for this purpose. For the sake of uniformity and easing the reviewers’ effort, we encourage authors to use the Overleaf Latex template. Other formats (not necessarily Latex-based) can also be used, provided that they conform to the following specifications: A4 paper, 11pt font, 1in margins. The submission link is: https://openreview.net/group?id=UniDive/2024/General_Meeting The reviewing process is double-blind. The selection of proposals will be done by UniDive Program Committee according to the following criteria: - relevance to UniDive and the work program of its Working Groups (see pp. 18-20 of the Memorandum of Understanding), - clarity - diversity of the languages covered by the workshop program The selected proposals will be presented at the 2nd UniDive general meeting as posters and/or oral presentations. At least one author per selected proposal will be reimbursed for their travel and stay. Important dates - 26 October 2023: Call for abstracts - 24 November 2023: Submission deadline - 15 December 2023: Notification of acceptance - 20 December 2023: Communication of the names of the presenters - 12 January 2024: Final versions of abstracts - 7-9 February 2024: UniDive 2nd general meeting The time zone for all deadlines is anywhere on Earth (UTC-12). Due to the tight schedule, no extension of the submission deadline is foreseen. Program Chairs - Victoria Bobicev, Technical University of Moldova (Moldova) - Johanna Monti, University of Naples L’Orientale (Italy) - Ranka Stanković, University of Belgrade (Serbia)

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Call for Participation - Semeval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes
by mitko.bg.ss＠gmail.com 22 Nov '23

22 Nov '23

SemEval 2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes First Call for Participation Memes that are part of a disinformation campaign achieve their goal of influencing social media users through a number of rhetorical and psychological techniques, such as causal oversimplification, name calling, appeal to fear, straw man, loaded language, and smears. The goal of the shared task is to build models for identifying such techniques in the textual content of a meme as well as in a multimodal setting (in many cases requiring to make complex inferences using both textual and visual content). Additionally, the task offers a hierarchy of these techniques, which allows the use of more complex approaches when building models. Finally, there will be three surprise test datasets in different languages (a fourth one in English will be released as well), which will be revealed only at the final stages of the shared task. Specifically, we offer the following subtasks: Subtask 1 (multilabel classification problem; text only; multilingual test set): Given only the "textual content" of a meme, identify which of the 20 persuasion techniques, organized in a hierarchy, it uses. Subtask 2a (multilabel classification problem; multimodal; multilingual test set): Given a meme, identify which of the 22 persuasion techniques, organized in a hierarchy, are used both in the textual and in the visual content of the meme Subtask 2b (binary classification problem; multimodal): Given a meme (both the textual and the visual content), identify whether it contains a persuasion technique, or no technique. The data is annotated with the following persuasion techniques: Loaded Language; Name Calling/Labeling; Exaggeration/Minimization; Appeal to fear/prejudice; Flag-Waving; Slogans; Repetition; Doubt; Reductio ad Hitlerum; Obfuscation/Intentional Vagueness/Confusion; Smears; Glittering Generalities; Causal Oversimplification; Black-and-White Fallacy; Appeal to Authority; Bandwagon; Red Herring; Whataboutism; Thought-terminating Cliches; Straw Men. We believe the tasks would be appealing to various NLP communities, including researchers working on sentiment analysis, fact-checking, argumentation mining, tagging, sequence modeling, as well as researchers working on image analysis in a multimodal scenario. A live leaderboard will allow participants to track their progress on both tasks. All participants will be invited to submit a paper to the SemEval-2024 workshop. Shared task website: https://propaganda.math.unipd.it/semeval2024task4 Competition dates: 4 September 2023 - 31 January 2024 Schedule October, Release of train labels January 13, 2023 (tentative) Release of the gold labels of the dev set January 20, 2024 (tentative) Release of the test set January 31, 2024 at 23:59 (Anywhere on Earth) Test submission site closes February 29, 2024 Paper Submission Deadline April 1, 2024 Notification to authors April 22, 2024 Camera ready papers due June 16–21, 2024 SemEval 2024 workshop (co-located with NAACL 2024 in Mexico City, Mexico) Task Organisers: Dimitar Dimitrov, Sofia University "St. Kliment Ohrdiski" Giovanni Da San Martino, University of Padova, Italy Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, UAE Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar Maram Hasanain, Qatar Computing Research Institute, HBKU, Qatar Abul Hasnat, Blackbird.ai Fabrizio Silvestri, Sapienza University, Rome

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2nd call for papers: : CODI, 5th Workshop on Computational Approaches to Discourse
by Chloé Braud 22 Nov '23

22 Nov '23

CODI, 5th Workshop on Computational Approaches to Discourse: 2nd Call for Papers 2024-03-21 or 22 - EACL 2024 - Malta ** Submission deadline: December 20th, 2023 - No deadline extension ** Website link: https://sites.google.com/view/codi2024 Aims and scope The last ten years have seen a dramatic improvement in the ability of NLP systems to understand and produce words and sentences. This development has created a renewed interest in discourse phenomena as researchers move towards the processing of long-form text and conversations. There is a surge of activity in discourse parsing, coherence models, text summarization, corpora for discourse level reading comprehension, and discourse related/aided representation learning, to name a few, but the problems in computational approaches to discourse are still substantial. At this juncture, we have organized four Workshops on Computational Approaches to Discourse (CODI) at EMNLP 2020, EMNLP 2021, COLING 2022 and ACL 2023 to bring together discourse experts and upcoming researchers. These workshops have catalyzed work to advance research on discourse level problems and have served as a forum for the discussion of suitable datasets and reliable evaluation methods. The previous workshops on discourse in machine translation (DiscoMT), linking lexical, sentential and discourse semantics (LSDSem), discourse structure in natural language generation (DSNNLG), discourse relation parsing and treebanking (DISRPT) and coreference (CORBON/CRAC), have shown that there is considerable interest and success in bringing together the community working on specific problems in discourse. We believe that the discourse community will also benefit from a general forum where work ranging from corpus development/analysis to computational models, and evaluation is discussed, and desiderata can be drawn for future progress. The 5th CODI workshop is planned as a 1 day event which brings together different subcommunities. It will feature invited talks and regular papers. We also accept papers accepted at other major conferences for non-archival presentation, including Findings papers. Topics of interest We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. Topics of interest include, but are not limited to: - discourse structure - discourse connectives - discourse relations - annotation tools and schemes for discourse phenomena - corpora annotated with discourse phenomena - discourse parsing - cross-lingual discourse processing - cross-domain discourse processing - anaphora and coreference resolution - event coreference - argument mining - coherence modeling - discourse and semantics - discourse in applications such as machine translation, summarization, etc. - evaluation methodology for discourse processing Submissions We solicit three categories of papers: regular (long and short) workshop papers, demos and extended abstracts. Only regular workshop papers and demos will be included in the proceedings as archival publications. Double submission of papers is allowed but will need to be indicated at submission. Regular papers must describe original unpublished research. Long papers may consist of up to 8 pages of content, plus unlimited pages for references. Short papers can be up to 4 pages, plus unlimited pages for references. Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. Each submission can contain unlimited pages for Appendices but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. Extended abstracts can describe work in progress. These may be two pages long (without references). Extended abstracts are non-archival. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. Paper accepted or rejected at one of the main conferences We also invite presentations of paper accepted at another main conference, a specific deadline and submission process will be communicated later on. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. We will also consider for publication papers rejected at one of the main conferences (see the direct submission deadline below), authors will have to submit both the paper and the reviews. The submission process will be communicated later on. Submission website All submissions must be anonymous and follow the EACL 2024 formatting instructions described here: https://aclrollingreview.org/cfp Please submit your workshop papers at https://softconf.com/eacl2024/CODI-2024/ Important dates 2023-12-20: CODI papers due 2024-01-17: Direct submission (papers rejected at a main conference) 2024-01-20: Notification of acceptance 2024-01-30: Camera ready deadline for main conference and CODI 2024-03-17 – 2024-03-22: CODI workshop All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Due to the tight schedule, there will be no deadline extension. Invited Speakers - Hannah Rohde, University of Edinburgh - Manfred Stede, Potsdam University Organizers Chloé Braud, CNRS-IRIT Christian Hardmeier, IT University of Copenhagen Chuyuan (Lisa) Li, University of British Columbia Jessy Li, University of Texas, Austin Sharid Loáiciga, University of Gothenburg Michael Strube, Heidelberg Institute for Theoretical Studies Amir Zeldes, Georgetown University To contact the organizers, please send an email to: codi-workshop(a)googlegroups.com

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Second call for papers: The 9th Workshop on Noisy and User-generated Text (WNUT 2024)
by rob van der goot 22 Nov '23

22 Nov '23

The WNUT Workshop will be collocated with EACL 2024 (Malta). The website for the workshop is at: http://noisy-text.github.io/ The WNUT workshop focuses on core NLP tasks (e.g., POS/NER tagging and translation; not computational social science) over user-generated text, such as that found on social media, web forums, online reviews, digital health records, or language learner essays. We seek submissions of long and short papers on original and unpublished work (same format and page limit as EACL main conference). All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. There will be best paper awards for both short and long papers. Topics of interest include but are not limited to: * NLP of noisy text, e.g. POS, NER tagging, Parsing * Text normalization and error correction * Paraphrase identification and semantic similarity of short text or noisy text * Extracting user demographics, profiles, and major life events * Machine translation and Multilingual NLP over noisy text * Information extraction from noisy text, global and regional trend detection, and event extraction * Colloquial language, e.g. idiom detection * Domain adaptation to user-generated text * Detecting rumors, contradictory information, sarcasm and humor on social media * Sentiment analysis * Temporal aspects of user-generated content (resolving time expressions, concept drift, etc...) * Representing and mining language variation in user-generated content * Processing of automatically generated data * Robustness to Noise, both Natural and Adversarial [IMPORTANT DATES] * Submission Deadline: December 18, 2023 (anytime on earth; dual-submission allowed) * Acceptance Notification: January 20, 2024 * Camera-Ready Deadline: january 30, 2024 * Workshop Day: March 21/22, 2024 [INVITED SPEAKERS] * Su Lin Blodgett * Jennifer Foster [ORGANIZERS] * Tim Baldwin (University of Melbourne) * Wei Xu (Georgia Institute of Technology) * Alan Ritter (Georgia Institute of Technology) * Rob van der Goot (IT University of Copenhagen) * Max Müller-Eberstein (IT University of Copenhagen) [SUBMISSION] Submissions should conform to the ACL style guidelines. Long and short paper submissions must be anonymized. Please submit your papers via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/WNUT

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First call for papers: The 9th Workshop on Noisy and User-generated Text (WNUT 2024)
by Rob van der Goot 22 Nov '23

22 Nov '23

The WNUT Workshop will be collocated with EACL 2024 (Malta). The website for the workshop is at: http://noisy-text.github.io/ The WNUT workshop focuses on core NLP tasks (e.g., POS/NER tagging and translation; not computational social science) over user-generated text, such as that found on social media, web forums, online reviews, digital health records, or language learner essays. We seek submissions of long and short papers on original and unpublished work (same format and page limit as EACL main conference). All accepted submissions will be presented as posters. Additionally, selected submissions will be presented orally. There will be best paper awards for both short and long papers. Topics of interest include but are not limited to: * NLP of noisy text, e.g. POS, NER tagging, Parsing * Text normalization and error correction * Paraphrase identification and semantic similarity of short text or noisy text * Extracting user demographics, profiles, and major life events * Machine translation and Multilingual NLP over noisy text * Information extraction from noisy text, global and regional trend detection, and event extraction * Colloquial language, e.g. idiom detection * Domain adaptation to user-generated text * Detecting rumors, contradictory information, sarcasm and humor on social media * Sentiment analysis * Temporal aspects of user-generated content (resolving time expressions, concept drift, etc...) * Representing and mining language variation in user-generated content * Processing of automatically generated data * Robustness to Noise, both Natural and Adversarial [IMPORTANT DATES] * Submission Deadline: December 18, 2023 (anytime on earth; dual-submission allowed) * Acceptance Notification: January 20, 2024 * Camera-Ready Deadline: january 30, 2024 * Workshop Day: March 21/22, 2024 [INVITED SPEAKERS] * Su Lin Blodgett * Jennifer Foster [ORGANIZERS] * Tim Baldwin (University of Melbourne) * Wei Xu (Georgia Institute of Technology) * Alan Ritter (Georgia Institute of Technology) * Rob van der Goot (IT University of Copenhagen) * Max Müller-Eberstein (IT University of Copenhagen) [SUBMISSION] Submissions should conform to the ACL style guidelines. Long and short paper submissions must be anonymized. Please submit your papers via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2024/Workshop/WNUT

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Second Call for Papers and Shared Task Participation; CASE @ EACL 2024: The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text
by ali hürriyetoglu 22 Nov '23

22 Nov '23

Second Call for workshop papers and Shared Task participation: the 6th workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - CASE @ EACL 2024 ************************************************************************************ URL: https://emw.ku.edu.tr/case-2024/ Paper submission deadline: 18 December 2023 Paper acceptance notification: 20 January 2024 Paper camera-ready: 30 January 2024 Workshop dates: 21-22 March 2024 Softconf page of the workshop: https://softconf.com/eacl2024/CASE-2024/ ************************************************************************************ We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of socio-political event data. This includes (but is not limited to) the following topics 1) Extracting events and their arguments such as time and location in and beyond a sentence or document, event coreference resolution. 2) Research in NLP technologies in relation to event detection: geocoding, temporal reasoning, argument structure detection, syntactic and semantic analysis of event structures, text classification, for event type detection, learning event-related lexica, event co-reference resolution, fake news analysis, and others with a focus on real or potential event detection applications. 3) New datasets, training data collection, and annotation for event information. 4) Event-event relations, e.g., subevents, main events, spatio-temporal relations, causal relations. 5) Event dataset evaluation in light of reliability and validity metrics. 6) Defining, populating, and facilitating event schemas and ontologies. 7) Automated tools and pipelines for event collection related tasks. 8) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 9) Methodologies for development, evaluation, and analysis of event datasets. 10) Applications of event databases, e.g. early warning, conflict prediction, policymaking. 11) Estimating what is missing in event datasets using internal and external information. 12) Detection of new and emerging SPE types, e.g. creative protests. 13) Release of new event datasets. 14) Bias and fairness of the sources and event datasets. 15) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 16) Copyright issues on event dataset creation, dissemination, and sharing. 17) Cross-lingual, multilingual and multimodal aspects in event analysis. 18) Resources and approaches related to contentious politics around climate change. **** Shared tasks **** We invite the community to participate in the shared task we organize and consider working on data from our previous shared tasks in the scope of the CASE workshop @ EACL 2024 (https://emw.ku.edu.tr/case-2024/). Recent & Active Shared task: *T1: Climate Activism Stance and Hate Event Detection* *Codalab Link:* https://codalab.lisn.upsaclay.fr/competitions/16206 <https://codalab.lisn.upsaclay.fr/competitions/16206> Registration: In order to register for the shared task, please send a request in Codalab. The organizers will approve requests on a daily basis. *GitHub Page:* https://github.com/therealthapa/case2024-climate <https://github.com/therealthapa/case2024-climate> Previous shared tasks for working on regular papers (no official competition), please see the regular paper submission timeline: PT1: Multilingual Protest News Detection Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com) Github: https://github.com/emerging-welfare/case-2022-multilingual-event PT2: Event Causality identification Contact person: Fiona Anting Tan (tan.f(a)u.nus.edu) Github: https://github.com/tanfiona/CausalNewsCorpus PT3: Multimodal Hate Speech Event Detection Contact person: Surendrabikram Thapa (surendrabikram(a)vt.edu) Codalab page: https://codalab.lisn.upsaclay.fr/competitions/16203 Github: https://github.com/therealthapa/case2023_task4 Note: The organizers follows a specific timeline. Please see the Codalab page. *** Keynotes *** We will continue our tradition of inviting keynote speakers from both social and computational sciences. The up-to-date list of keynote speakers will be announced soon. *** Submission guidelines *** This call solicits short and long papers reporting original and unpublished research on the topics listed above. The papers should emphasize obtained results rather than intended work and should indicate clearly the state of completion of the reported results. The page limits and content structure announced at ACL ARR page (https://aclrollingreview.org/cfp) should be followed for both short and long papers. Papers should be submitted on the START page of the workshop ( https://softconf.com/eacl2024/CASE-2024/) in PDF format, in compliance with the ACL publication author guidelines for ACL publications https://acl-org.github.io/ACLPUB/formatting.html. The templates can be found on https://github.com/acl-org/acl-style-files. The reviewing process will be double-blind and papers should not include the author’s names and affiliations. Each submission will be reviewed by at least three members of the program committee. The workshop proceedings will be published on ACL Anthology. *** Workshop organizers *** Ali Hürriyetoğlu, KNAW Humanities Cluster, the Netherlands, ali.hurriyetoglu(a)gmail.com Hristo Tanev, European Commission, Joint Research Centre (EU JRC), Italy Erdem Yörük, Koc University, Turkey Jatin Bedi, Thapar Institute of Engineering and Technology, Patiala, India. Surendrabikram Thapa, Virginia Tech, the USA S. Angel Deborah, SSN College of Engineering, India S. Rajalakshmi, SSN College of Engineering, India Onur Uca, Mersin University, Turkey Mark Lee, School of Computer Science University of Birmingham, United Kingdom Francielle Vargas, University of São Paulo, Brazil Farhana Ferdousi Liza, University of East Anglia, the United Kingdom Shruti Kulkarni, Oak Ridge National Laboratory, United States Vivek Kumar, University of the Bundeswehr Munich, Germany Milena Slavcheva, IICT, Bulgarian Academy of Sciences, Bulgaria Guneet Singh Kohli, Thapar University, India Vanni Zavarella, University of Cagliari, Italy

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Schools and LLMs: the challenge is open
by znzfms00＠uniroma2.it 21 Nov '23

21 Nov '23

Two open positions: deadline Dec. 10th 12.00 CET (1) Research Fellowship - Assegno di Ricerca I Fascia (Requirements: Master's Degree) - https://pica.cineca.it/uniroma2/f1-2023-0098/ (2) Post-doc Research Fellowship - Assegno di Ricerca II Fascia (Requirements: Ph.D. Degree) - https://pica.cineca.it/uniroma2/f2-2023-0026/ If you want to apply, use the above links and, possibly, inform fabio.massimo.zanzotto(a)uniroma2.it . As you may know, we offer: - an uncompetitive salary - no extra-benefits - no clear career path Yet, YOU can help us shape ways schools may integrate these disruptive LLMs to prepare "biological brains" for the vibrating future. These positions are within an Italian Research Project of National Interest (PRIN): "Class-tAIs: Artificial Intelligence and multi-brain connectivity as a buddy to Enhancing Competencies in students" Positions will start early next year. Lab: Human-centric Art at the University of Rome Tor Vergata (Italy) Follow us on our newly established X account: @HumanCentricArt https://twitter.com/HumanCentricArt

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Two Open Positions: at NLP for Biomedical Information Analysis group (Barcelona Supercomputing Center (BSC), Spain)
by Martin Krallinger 21 Nov '23

21 Nov '23

Dear colleagues, My group is currently seeking for two new positions (details below) I would really appreciate sharing to potential interested candidates or lists. Best regards, Martin *Context And Mission* The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. *Position 1* *Reference:* 514_23_LS_NLPBIA_RE1 *Job title:* Junior Research Engineer - NLP for Biomedical Information Analysis (RE1) *URL: **https://www.bsc.es/join-us/job-opportunities/51423lsnlpbiare1 <https://www.bsc.es/join-us/job-opportunities/51423lsnlpbiare1>* The NLP4BIA group at BSC is looking for a Software/Data Engineer or Full Stack Developer with an interest in learning technical aspects of Natural Language Processing, AI, and Language Models. The ideal candidate will be responsible for advancing a cutting-edge NLP platform, leveraging the use of state-of-the-art language technologies and NLP resources. This role involves collaboration with hospitals, research teams, and experts on both national and international scales to drive innovation in the field. *Key Duties* - Software Development: Create backend, frontend, and web services, along with web-based demos for NLP tools. - NLP platform Integration: Integrate existing NLP components into the CogStack platform for processing clinical and biomedical content. - Data Processing and Ingestion: Develop scripts for the ingestion, cleaning, and formatting of text data to make it appropriate for neural architectures. - Data Management: Organize and maintain data repositories in alignment with group and project requirements. - Documentation and Reporting: Create technical reports and project documentation in both English and Spanish. - Automated Data Annotation: Use existing state-of-the-art NLP tools to annotate data, improving operational efficiency autonomously. - In this role, the candidate will closely collaborate with AI/NLP experts of the team to define the technical requirements for running and deploying NLP components. You'll collaborate with them in writing research proposals and contributing to research scientific papers. Furthermore, your duties will include working with external teams to provide technical support related to tools used for data annotation and platform deployment, ensuring seamless project execution and interdisciplinary collaboration. *Position 2* *Reference:* 515_23_LS_NLPBIA_RE2 *Job title:* Research Engineer - NLP for Biomedical Information Analysis (RE2) *URL: https://www.bsc.es/join-us/job-opportunities/51523lsnlpbiare2 <https://www.bsc.es/join-us/job-opportunities/51523lsnlpbiare2>* The NLP4BIA-BSC is looking for a Research Engineer with experience in Language Technologies and Deep Learning. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to multilingual information extraction in the clinical field, including Named-Entity Recognition, Entity Linking and Language Modeling. The candidate will have the opportunity to advance the state of the art of cross-lingual biomedical NLP methods by working in a multidisciplinary environment alongside linguists, medical experts, and other engineers. *Key Duties* - NLP model development: Development of multilingual information extraction models in the biomedical field, including mention extraction and linking of terms to controlled terminologies. Pre-training of cross-lingual large language models for healthcare. - Technical project coordination: Coordinate technical contributions from different partners in technological projects. - Documentation and Reporting: Create technical reports and project documentation in both English and Spanish - Scientific writing: Collaborate in drafting technical research proposals and writing scientific papers. *About BSC* The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 900 staff from 55 countries.

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