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[FinNLP@IJCAI-2023] Call for Paper and ESG Shared Task Participants
by CHUNG-CHI CHEN 07 Apr '23

07 Apr '23

Dear colleagues, We are delighted to announce that FinNLP-2023 will be in conjunction with IJCAI-2023 from 19th-25th August 2023, Macao. This year, we organize a Joint Workshop of The 5th Financial Technology And Natural Language Processing (*FinNLP*) and 2nd *Multimodal AI For Financial Forecasting* (Muffin). Thus, papers related to NLP or multimodal AI in finance are welcome. This year, we have a shared task related to *multilingual ESG issue identification*. Registration is open now, and the dataset will be released soon. Please refer to our website for more details - FinNLP-2023: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-2023/home *Submission Deadline: April 26, 2023* Accepted papers proceedings will be published at ACL Anthology. Best Regards, FinNLP-2023 Organizers FinNLP-MUFFIN-2023: The Joint Workshop of the 5th Financial Technology and Natural Language Processing (FinNLP) and 2nd Multimodal AI For Financial Forecasting (MUFFIN) IJCAI-2023 Macao, August 19-25, 2023 Conference website https://finnlp-muffin-ijcai23.github.io/ Submission link https://easychair.org/conferences/?conf=finnlpmuffin2023 Submission deadline April 26, 2023 *About The FinNLP Workshop* The aim of this workshop is to provide a forum where international participants share knowledge on applying NLP to the FinTech domain. Recently, analyzing documents related to finance and economics has attracted much attention in the AI community. In the financial field, FinTech is a new industry that focuses on improving financial activity with technology. Thus, in order to bridge the gap between the NLP research and the financial applications, we organize FinNLP workshop series. One of the expected accomplishments of FinNLP is to introduce insights from the financial domain to the NLP community. With the sharing of the researchers in FinNLP, the challenging problems of blending FinTech and NLP will be identified, and the future research direction will be shaped. That can broaden the scope of this interdisciplinary research area. *About The Muffin Workshop* The Workshop aims to explore recent advances and challenges of multimodal AI for finance. Financial forecasting is an essential task that helps investors make sound investment decisions and wealth creation. With increasing public interest in trading stocks, cryptocurrencies, bonds, commodities, currencies, crypto coins and non-fungible tokens (NFTs), there have been several attempts to utilize unstructured data for financial forecasting. Unparalleled advances in multimodal deep learning have made it possible to utilize multimedia such as textual reports, news articles, streaming video content, audio conference calls, user social media posts, customer web searches, etc for identifying profit creation opportunities in the market. E.g., how can we leverage new and better information to predict movements in stocks and cryptocurrencies well before others? However, there are several hurdles towards realizing this goal - (1) large volumes of chaotic data, (2) combining text, audio, video, social media posts, and other modalities is non-trivial, (3) long context of media spanning multiple hours, days or even months, (4) user sentiment and media hype-driven stock/crypto price movement and volatility, (5) difficulties with traditional statistical methods (6) misinformation and non-interpretability of financial systems leading to massive losses and bankruptcies. At the IJCAI-2023 Joint Workshop of the 5th Financial Technology and Natural Language Processing (FinNLP) and 2nd Multimodal AI For Financial Forecasting (MUFFIN), we aim to bring bring together researchers from natural language processing, computer vision, speech recognition, machine learning, statistics and quantitative trading communities to expand research on the intersection of AI and finance.Please select a suitable track (“NLP” or “Multimodal”) for best considerations and reviewer matching.We will also organize 2 shared tasks in this workshop – (1) ESG Issue Identification (2) Price and Volatility Prediction From Conference Call Videos. Submission Guidelines Papers submitted to the main track must be formatted according to ACL Guidelines <https://acl-org.github.io/ACLPUB/formatting.html> - *Long Paper*: May consist of up to 8 pages of content, plus unlimited pages for references and appendix. - *Short Paper and Demo Paper*: May consist of up to 4 pages of content, plus unlimited references and appendix. 1. The reviewing process will be double-blind for Long and Short Paper, and single-blind for Demo Paper. Submissions must be in electronic form using the FinNLP-2023 paper submission link above. 2. *No Show Policy*: At least one author of each accepted paper *must* travel to the IJCAI venue in person. Papers with “No Show” will be redacted. Authors will be required to agree to this requirement at the time of submission. Committees *General Chairs - FinNLP* - Chung-Chi Chen <http://nlg.csie.ntu.edu.tw/~cjchen/>, National Institute of Advanced Industrial Science and Technology, Japan - Hiroya Takamura <http://www.lr.pi.titech.ac.jp/~takamura/>, Tokyo Institute of Technology, Japan *General Chairs - Muffin* - Puneet Mathur <http://www.cs.umd.edu/~puneetm/>, University of Maryland College Park, USA - Ramit Sawhney <https://sites.google.com/iiitd.ac.in/ramitsawhney/home?authuser=0>, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi *Organizing Committee* - Dinesh Manocha <https://www.cs.umd.edu/people/dmanocha>, University of Maryland College Park, USA - Preslav Nakov <https://mbzuai.ac.ae/study/faculty/preslav-nakov/>, Mohamed bin Zayed University of Artificial Intelligence, Abu Dhabi - Hen-Hsen Huang <http://nlg.csie.ntu.edu.tw/~hhhuang/>, Institute of Information Science, Academia Sinica, Taiwan - Hsin-Hsi Chen <http://nlg.csie.ntu.edu.tw/advisor.php>, Department of Computer Science and Information Engineering, National Taiwan University, Taiwan - Hiroki Sakaji <https://tetsuwaka.net/>, School of Engineering, The University of Tokyo, Japan - Kiyoshi Izumi <http://kinba.sakura.ne.jp/mainj/>, School of Engineering, The University of Tokyo, Japan *Advisory Committee* - Franck Dernoncourt <https://research.adobe.com/person/franck-dernoncourt/>, Adobe Research, USA - Fu-Ming Guo <https://www.linkedin.com/in/fumingguo>, Fidelity Investments, USA - Lucie Flek <https://lucieflek.github.io/>, University of Marburg, Germany - Sanghamitra Dutta <https://ece.umd.edu/clark/faculty/1711/Sanghamitra-Dutta>, University of Maryland College Park, USA - Sudheer Chava <https://research.gatech.edu/sudheer-chava>, Georgia Institute of Technology, USA Publication FinNLP-MUFFIN-2023 proceedings will be published in ACL Anthology <https://www.aclweb.org/anthology/>. Venue In conjunction with IJCAI-2023 <https://ijcai-23.org/>, 19th-25th August 2023, Macao Contact All questions about submissions should be emailed to *finnlp.muffin.ijcai2023(a)gmail.com* <finnlp.muffin.ijcai2023(a)gmail.com>

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CFP: TRUEHEALTH 2023: Workshop on Combating Health Misinformation for Social Wellbeing [ICWSM 2023]
by Rishabh Upadhyay 06 Apr '23

06 Apr '23

[Apologies for multiple submissions] Submission deadline EXTENDED to APRIL 09! Papers will be published in the ICWSM Workshop Proceedings. Long Papers are welcome, but also Short Papers and Abstracts are great for discussing ongoing work. Call for Papers TrueHealth 2023: Combating Health Misinformation for Social Wellbeing Workshop @ ICWSM 2023, the 17th International Conference on Web and Social Media June 5th – 8th 2023, Limassol, Cyprus https://truehealth.disco.unimib.it/ Scope and topics In recent years, people have increasingly referred to the Web and social media as sources of information about health-related problems and solutions, as confirmed by the U.S. Pew Research Center, and other European and international studies. Although, on the one hand, these platforms favor easier and more direct access to information sources by users without the intermediation of experts, on the other hand, it is precisely such democratization of health information that constitutes a potential danger for people. As we have seen especially in the last period, linked to the pandemic, the proliferation of false information, conspiracy theories, and unreliable remedies risk compromising the health not only of individuals but that of the community as a whole. From this perspective, it becomes necessary to study and propose technological solutions to help users come into contact with genuine information, especially in a critical domain such as health, for social well-being. To this end, it is essential to promote research of an interdisciplinary nature, involving computer scientists, physicians, lawyers, and communication experts who can address the problem of health misinformation from different points of view by combining their expertise. The topics of interest of the TrueHealth 2023 Workshop at ICWSM include, but are not limited to: Assessing the genuineness of Online Health Information (OHI); Consumer Health Search (CHS) and genuine information access; Debunking health misinformation; Fake news/rumors and healthcare; Measures, evaluation methods, and datasets for health misinformation detection; Health misinformation detection; Health literacy and information genuineness; Fact-checking in Online Health Information (OHI); Misinformation and public opinion on health; Relationship between access to non-genuine information and danger to public health; Relationship between psychological characteristics and perceptions of health misinformation; Techniques for accessing and retrieving genuine Online Health Information (OHI). Submission Instructions We welcome both 2-page abstracts, as well as Long (8 pages) and Short (4 pages) papers – excluding references (11 pages max with references and ethics statement). Abstracts are ideal as Demo or Position papers, Short papers as presentations of ongoing research with preliminary results or summaries of previous work, and Long papers as presentations of novel research and results. Long and Short papers will be published in ICWSM Workshop Proceedings (http://workshop-proceedings.icwsm.org/). All submissions should be double-blind. Papers have to follow the AAAI format, as outlined here: https://www.overleaf.com/latex/templates/aaai-2023-author-kit/wxnmhzcrjbpc Submit here: https://easychair.org/conferences/?conf=truehealth2023 Other ICWSM submission instructions: https://www.icwsm.org/2023/index.html/call_for_submissions.html Important Dates Workshop Papers Submissions: April 09, 2023 Workshop Paper Acceptance Notification:April 23, 2023 Workshop Final Camera-Ready Paper Due: May 5, 2023 ICWSM-2023 Workshops Day: June 5, 2023 Organizers Gabriella Pasi (Full Professor), University of Milano-Bicocca, Milan, Italy Rishabh Upadhyay (Research Fellow), University of Milano-Bicocca, Milan, Italy Marco Viviani (Associate Professor), University of Milano-Bicocca, Milan, Italy Program Committee Lorraine Goeuriot, Université Grenoble Alpes, France Sanda Harabagiu, The University of Texas at Dallas, USA Liadh Kelly, Maynooth University, Ireland Dongwon Lee, The Pennsylvania State University, USA Yelena Mejova, ISI Foundation, Italy Marinella Petrocchi, Institute of Informatics and Telematics (CNR), Italy Michael Sirivianos, Cyprus University of Technology, Cyprus Xingyi Song, University of Sheffield, UK Hanna Suominen, Australian National University, Australia Francesca Spazzano, Boise State University, USA Angelo Spognardi, Sapienza University of Rome, Italy Bei Yu, Syracuse University, USA Arkaitz Zubiaga, Queen Mary University of London, UK

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Post-doc position in corpus linguistics and French linguistics at Neuchâtel
by DELL'ORO Francesca 06 Apr '23

06 Apr '23

Dear colleagues, I share with you this announcement for a position as a post-doc on behalf of Corinne Rossari. An excellent knowledge of French is mandatory. Best wishes, Francesca Dell’Oro [Université de Neuchâtel]<https://www.unine.ch/>[Facebook]<https://www.facebook.com/UniNeuchatel>[Instagram]<https://www.instagram.com/unineuchatel/>[Twitter]<https://twitter.com/unineuchatel>[Youtube]<https://www.youtube.com/user/uninepromotion>[LinkedIn]<https://www.linkedin.com/edu/school?id=10933&trk=edu-hp-follow-name> Francesca Dell'Oro Professeure assistante Institut des Sciences du Langage Université de Neuchâtel Bureau 106 Pierre-à-Mazel 7 CH-2000 Neuchâtel Tél. +41 32 718 1674 www.unine.ch<http://www.unine.ch> UN POSTE D'ASSISTANT.E POST-DOCTORANT.E, à 50% en linguistique française Exigences : Doctorat (PhD), bonnes connaissances des plateformes d’exploitation de corpus, des méthodes et outils statistiques appliqués à la linguistique ou à l’analyse du discours, excellentes compétences en français (pour les non natifs). Aptitude à travailler en équipe. Tâches : Responsabilité d’un séminaire sur la linguistique de corpus sur un semestre et soutien aux activités de recherche et d’enseignement de la chaire de linguistique française. Encadrement des étudiant.es<http://xn--tudiant-9xa.es> ; participation aux activités scientifiques de l’équipe de recherche en linguistique française (activités de formation doctorale, présentations scientifiques, publications, etc.) ; participation à des colloques et réunions scientifiques ; participation aux activités de la SciLAC (réunions, cycle de conférences) ; travail sur des corpus. Avantages: Un cadre de travail stimulant au sein d'une équipe dynamique, des collaborations internationales et des horaires flexibles. Rémunération : Légale (CHF 45'187.- pour un poste à 50%, avec augmentation annuelle) Entrée en fonction : 1 août 2023 ou à convenir. Durée : L'assistant(e) post-doctorant(e) est nommé(e) jusqu'au 31 juillet 2024. Le contrat est renouvelable à deux reprises (durée maximum 36 mois). Le dossier de candidature contiendra une lettre de motivation, un curriculum vitae avec la liste et les notes des cours/séminaires suivis à l'Université, une copie du diplôme de doctorat et des rapports des expert.es.sur la thèse. Prière d'envoyer le dossier en format pdf à Madame la professeure Corinne Rossari, corinne.rossari(a)unine.ch<mailto:corinne.rossari@unine.ch>, jusqu'au 1er mai 2023 à l'adresse suivante : Secretariat.ISLA(a)unine.ch<mailto:Secretariat.ISLA@unine.ch>. Pour plus de renseignements veuillez contacter Mme Corinne Rossari à l'adresse e-mail indiquée ci-dessus. Soucieuse de promouvoir la diversité au sein de son personnel, l’Université de Neuchâtel s’engage à offrir des conditions de travail non discriminatoires.

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Shared Task on Speaker Attribution: Call for Participation and Release of Training and Development data
by Fynn Petersen-Frey 06 Apr '23

06 Apr '23

Shared Task on Speaker Attribution in Newswire and Parliamentary Debates As previously announced, a new shared task on Speaker Attribution in German political discourse is taking place this spring and summer under the auspices of the GermEval Campaign. The goal of our shared task is the identification of speakers in political debates as well as in news articles, and the attribution of speech events to their respective speakers. Being able to identify this information automatically, i.e., identifying who says what to whom, is a necessary prerequisite for a deep semantic analysis of unstructured text. Training and development data for Task 1, which focuses on speeches from the German Bundestag, has now been released on github <https://github.com/umanlp/SpkAtt-2023>. Training and development data for Task 2, which focuses on speech in German news articles, has now been released on github <https://github.com/uhh-lt/news-speaker-attribution-2023>. For more details about the shared task, including the task settings, datasets, evaluation metrics and link to the *registration* form, please visit the shared task website at CodaLab <https://codalab.lisn.upsaclay.fr/competitions/10431>. The SpkAtt-2023 shared task is partially supported by the German Society for Computational Linguistics and endorsed by two of its Special Interest Groups, CPSS <https://gscl.org/activities/politicssocialsciences/> and IGGSA <https://sites.google.com/site/iggsahome>. The workshop for the shared task will be held as part of the Conference for Natural Language Processing (KONVENS <https://www.thi.de/konvens-2023/> 2023) in Ingolstadt, Germany, in Sep 2023. Important Dates April 1, 2023 - *Training and development data release* 🗸 June 15, 2023 - Test data release (blind) July 1, 2023 - Submissions open July 31, 2023 - Submissions close August 14, 2023 - System descriptions due September 7, 2023 - Camera-ready system paper deadline September 18-22, 2023 - Workshop at KONVENS 2023 Organizing team Ines Rehbein, Simone Ponzetto (U-Mannheim) Fynn Petersen-Frey, Chris Biemann (U-Hamburg) Josef Ruppenhofer, Annelen Brunner (IDS Mannheim) Contact fynn.petersen-frey at uni-hamburg.de, rehbein at uni-mannheim.de

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19th IEEE eScience Conference (eScience 2023): Fourth Call for Papers
by georgeangelos60＠gmail.com 06 Apr '23

06 Apr '23

*** Fourth Call for Papers *** 19th IEEE eScience Conference (eScience 2023) October 9-13, 2023, St. Raphael Resort, Limassol, Cyprus https://www.escience-conference.org/2023/ eScience 2023 provides an interdisciplinary forum for researchers, developers, and users of eScience applications and enabling IT technologies. Its objective is to promote and encourage all aspects of eScience and its associated technologies, applications, algorithms, and tools, with a strong focus on practical solutions and open challenges. The conference welcomes conceptualization, implementation, and experience contributions enabling and driving innovation in data- and compute-intensive research across all disciplines, from the physical and biological sciences to the social sciences, arts, and humanities; encompassing artificial intelligence and machine learning methods; and targeting a broad spectrum of architectures, including HPC, Cloud, and IoT. The overarching theme of the eScience 2023 conference is “open eScience”. This year, the conference is promoting four additional key topics: • Computational Science for sustainable development • FAIR • Research Infrastructures for eScience • Continuum Computing: Convergence between Cloud Computing and the Internet of Things (IoT) The conference is soliciting two types of contributions: • Full papers (10 pages) presenting previously unpublished research achievements or eScience experiences and solutions • Posters (2 pages) showcasing early-stage results and innovations Submitted papers should use the IEEE 8.5×11 manuscript guidelines: double-column text using single-spaced 10-point font on 8.5×11-inch pages. Templates are available from http://www.ieee.org/conferences_events/conferences/publishing/templates.html . Submissions should be made via the Easy Chair system using the submission link: https://easychair.org/conferences/?conf=escience2023 . All submissions will be single-blind peer reviewed. Selected full papers will receive a slot for an oral presentation. Accepted posters will be presented during a poster reception. Accepted full papers and poster papers will be published in the conference proceedings. Rejected full papers can be re-submitted for a poster presentation. At least one author of each accepted paper or poster must register as an author at the full registration rate. Each author registration can be applied to only one accepted submission. AWARDS eScience 2023 will host the following awards, which will be announced at the conference. • Best Paper Award • Best Student Paper Award • Best Poster Award • Best Student Poster Award • Outstanding Early Career Contribution – this award is associated with poster submissions and short presentations of attendees in their early career phase (i.e., postdoctoral researchers and junior scientists). KEY DATES • Paper Submissions Due: Friday, May 26, 2023 (AoE) • Notification of Paper Acceptance: Friday, June 30, 2023 • Poster Submissions due: Friday, July 7, 2023 (AoE) • Poster Acceptance Notification: Monday, July 24, 2023 • All Camera-ready Submissions due: Monday, August 14, 2023 • Author Registration Deadline: Monday, August 14, 2023 ORGANISATION General Chair • George Angelos Papadopoulos, University of Cyprus, Cyprus Technical Program Co-Chairs • Rafael Ferreira da Silva, Oak Ridge National Laboratory, USA • Rosa Filgueira, University of St Andrews, UK Organisation Committee https://www.escience-conference.org/2023/organizers Steering Committee https://www.escience-conference.org/about/#steering-committee Email contact: Technical-Program(a)eScience-conference.org

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CfP Special Issue "Artificial Intelligence and Smart Technologies for Achieving Sustainable Goals"
by Hend Al-Khalifa 05 Apr '23

05 Apr '23

Dear Colleagues, You are invited to submit your paper to our Special Issue "Artificial Intelligence and Smart Technologies for Achieving Sustainable Goals <https://www.mdpi.com/journal/sustainability/special_issues/Z1I87XD9C3>". In this Special Issue, we invite papers that explore the potential of AI and smart technologies for sustainable development. We are particularly interested in papers that describe applications of these technologies that have the potential to make a real difference to the achievement of SDGs. We welcome papers from all sectors, including academia, industry, government, and non-governmental organizations (NGOs). Topics of interest include, but are not limited to, the following: - Applications of AI and smart technologies in sustainable development; - The potential of AI and smart technologies to help achieve the SDGs; - Barriers and challenges to the use of AI and smart technologies for sustainable development; - Future directions for the use of AI and smart technologies in sustainable development; - Ethical considerations in the use of AI and smart technologies for sustainable development; - The role of AI and smart technologies in sustainable development policy. Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers will be thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. *Guest Editors* Prof. Dr. Hend Al-Khalifa Dr. Heyam Al-Baity Dr. Duaa AlSaeed

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1st CFP: Challenges in the Management of Large Corpora (CMLC-11)
by Piotr Banski 05 Apr '23

05 Apr '23

11^th Workshop on the Challenges in the Management of Large Corpora (CMLC) The next meeting of CMLC will be held as part ofCorpus Linguistics 2023 <https://wp.lancs.ac.uk/cl2023/> in Lancaster, UK, on the 2^nd of July, 2023. See https://corpora.ids-mannheim.de/cmlc-2023.html for up-to-date information. Important dates * Deadline for abstract submission: the 27^th of April 2023 (Thursday, 23:59 UTC) * Notification of acceptance: the 11^th of May 2023 (Thursday) * Deadline for the submission of camera-ready papers: the 4^th of June 2023 (Sunday) * Meeting: Sunday, the 2^nd of July 2023 (room/hour TBA) Abstract submission * We invite anonymised extended abstracts for/oral presentations/on the topics listed below (/ideally/using theACL-2023 templates <https://2023.aclweb.org/calls/style_and_formatting/>, or PDF, 1000-1500 words excluding references, font preferably 11 pt, line spacing 1.5). * CMLC has always reserved a track for national corpus project reports, and to this end, we invite/poster proposals/of 500-750 words. National project reports need not be anonymised. Submissions are accepted through the EasyChair submission system, athttps://easychair.org/conferences/?conf=cmlc11. Please note that each CMLC event produces a volume of proceedings (published in Open Access before the meeting), where both oral and poster contributions have equal status./All/final submissions to the 2023 proceedings volume will be expected to be formatted according to theACLPUB guidelines <https://acl-org.github.io/ACLPUB/formatting.html>and to pass theaclpubcheck <https://github.com/acl-org/aclpubcheck>. Workshop description The upcoming CMLC meeting continues the successful series of “Challenges in the management of large corpora” events, previously hosted at LREC (since 2012) and CL (since 2015) conferences. As in the previous meetings, we wish to explore common areas of interest across a range of issues in language resource management, corpus linguistics, natural language processing, and data science. Large textual datasets require careful design, collection, cleaning, encoding, annotation, storage, retrieval, and curation to be of use for a wide range of research questions and to users across a number of disciplines. A growing number of national and other very large corpora are being made available, many historical archives are being digitised, numerous publishing houses are opening their textual assets for text mining, and many billions of words can be quickly sourced from the web and online social media. A number of key themes and questions emerge of interest to the contributing research communities: (a) what can be done to deal with IPR and data protection issues? (b) what sampling techniques can we apply? (c) what quality issues should we be aware of? (d) what infrastructures and frameworks are being developed for the efficient storage, annotation, analysis and retrieval of large datasets? (e) what affordances do visualisation techniques offer for the exploratory analysis approaches of corpora? (f) what kinds of APIs or other means of access would make the corpus data as widely usable as possible without interfering with legal restrictions? (g) how to guarantee that corpus data remain available and usable in a sustainable way? Motivation and topics of interest This year’s event will cover the entire range of the standard CMLC themes, with some new additions: * New and hot topics o Language Models + What linguistic insights can we gain by post-hoc language model analysis in the age of ChatGPT? + How can we avoid the proliferation of stereotypes in terms of both linguistic surface form and content when using language models for linguistic analysis? o Societal and legal issues relevant for corpora and studies + political and sociological balance ○ social media bubbles, hate speech and fake news + proliferation of stereotypes via corpora and language models + corpora as archives of the past: evolution in mentalities or laws, personality rights o How to make corpora as accessible as possible despite big data issues, application heterogeneity, and IPR issues + What are the most interesting APIs and libraries to build, analyse and access very large corpora? + How can we get us researchers to use existing research tools, infrastructures, libraries and APIs in research and teaching? * Linguistic content challenges o Dealing with the variety of language resources: multilinguality, historical texts, noisy OCR texts, user-generated content, etc. o Integration of human computation (crowdsourcing) and automatic annotation o Quality management of annotations * Technical challenges o Storage and retrieval solutions for big textual data corpora: primary data, metadata, and annotation data o Scalable and efficient NLP tooling for annotating and analysing large datasets: distributed and GPGPU computing; using big data analysis frameworks for language processing o Dealing with streaming (e.g. Social Media) and rapidly changing underlying data * Exploitation challenges o Legal and privacy issues o Query languages, data models, and standardisation o Licensing models of open and closed data, coping with intellectual property restrictions o Innovative approaches for aggregation and visualisation of text analytics In the tradition of CMLC, we invite reports on national corpus initiatives; submitters of these reports should be prepared to present a poster along with a short presentation. Programme Committee: TBA Names will be added as Programme Committee members confirm their participation. Organising Committee Institut für Deutsche Sprache, Mannheim 📩 Piotr Bański,Marc Kupietz,Harald Lüngen Berlin-Brandenburg Academy of Sciences 📩 Adrien Barbaresi Institute of Computational Linguistics, University of Zurich Simon Clematide Homepage CMLC series homepage is located athttp://corpora.ids-mannheim.de/cmlc.html -- Piotr Bański, Ph.D. Senior Researcher, Leibniz-Institut für Deutsche Sprache, R5 6-13 68-161 Mannheim, Germany

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A Robust Pre-trained Model in French for Biomedical and Clinical domains
by Mickael ROUVIER 05 Apr '23

05 Apr '23

Dear all, We are proud to announce our first biomedical language model for French called DrBERT. It's now available on HuggingFace and Arxiv ( [ https://arxiv.org/abs/2304.00958 | https://arxiv.org/abs/2304.00958 ] ). You can now use the model on your own documents and get state-of-the-art performances in only 3 lines of code. Check out the: - Project website: [ https://drbert.univ-avignon.fr/ | https://drbert.univ-avignon.fr/ ] - Hugging Face models: [ https://huggingface.co/Dr-BERT | https://huggingface.co/Dr-BERT ] Our model was trained on 128 GPU from Jean-Zay Supercomputer and assessed on 11 distinct practical biomedical tasks for French language, which came from public and private data. These tasks include : Named Entity Recognition (NER), Part-Of-Speech tagging (POS), binary/multi-class/multi-label classification, and multiple-choice question answering. The outcomes revealed that DrBERT enhanced the performance of most tasks compared to prior techniques, indicating that from-scratch pre-trained strategy is still the most effective for BERT language models on French Biomedical. Tutorials about biomedical natural language processing are coming soon, stay tuned !! With Yanis Labrak (LIA / Zenidoc), Adrien Bazoge (LS2N), Richard Dufour (LS2N), Mickael Rouvier (LIA), Emmanuel Morin (LS2N), Béatrice Daille (LS2N) and Pierre-Antoine Gourraud (Nantes University / CHU Nantes). Best regards.

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10th International Conference on Behavioural and Social Computing (BESC 2023): Last Call for Special Session Proposals
by georgeangelos60＠gmail.com 05 Apr '23

05 Apr '23

*** Last Call for Special Session Proposals *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE The Organizing Committee invites proposals for Special Sessions that cover any topic related to BESC. Special Sessions can also cover any other area focusing on challenging open problems of relevance in applications on Behavioural, Economic, and Socio-Cultural Computing. Papers accepted in the Special Sessions will be included in the same conference volume with those accepted in the main track and will be candidates for being invited to the journal special issues that will be organised for BESC 2023. The proposals for organising Special Sessions should be submitted to the Special Sessions Chairs by the indicated deadline. A proposal should be submitted in PDF, be no longer than 2 pages in length, and contain the following: (i) Title of the proposed Special Session. (ii) Names, affiliations and contact information of the proposers. (iii) Names and affiliations of the Program Committee of the proposed Special Session. (iv) Description of the proposed Special Session, including the covered topics and the rationale as to why it fits into the themes of BESC. (v) A dissemination plan of the CFP for the proposed Special Session that the proposers will undertake, if their proposal is accepted. E-mails for submission of Special Session Proposals: taotao.cai AT usq.edu.au / yuting AT zhejianglab.com IMPORTANT DATES • Submission of Special Session proposals: 10 April 2023 • Acceptance notification for Special Session proposals: 15 April 2023 ORGANISATION Steering Committee Chair • Guandong Xu, University of Technology Sydney, Australia General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • Ji Zhang, University of Southern Queensland, Australia Special Session Chairs • Taotao Cai, University of Southern Queensland, Australia (taotao.cai AT usq.edu.au) • Ting Yu, Zhejiang Lab, China (yuting AT zhejianglab.com) Doctoral Symposium Chair • Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair • Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair • Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs • Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore • Thanveer Shaik, University of Southern Queensland, Australia • Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster • Shiqing Wu, University of Technology Sydney, Australia

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Fully-funded positions in NLP and Speech Processing at the HiTZ Center for Language Technology
by HiTZ Zentroa 05 Apr '23

05 Apr '23

**** We apologize for the multiple copies of this email **** The Hitz Center for Language Technology (www.hitz.eus <http://www.hitz.eus>) at the University of the Basque Country (UPV/EHU) invites applications for several funded positions in Natural Language and Speech Processing. The center has received funding for several ambitious projects, and is offering five PhD positions and six positions for researchers, both pre- and post-doctoral. Characteristics such as duration, starting date or stipend depends on each specific position. The list of the current open positions can be found here: https://www.hitz.eus/job-offers <https://www.hitz.eus/job-offers> HiTZ Basque Center for Language Technology is a center of reference for Language Technologies. It is a leader in research in Spain and holds a National Research Award in Computer Science and one of the 15 fellows that the main research association in the area (Association for Computational Linguistics) has in Europe, as well as the best PhD thesis award in Artificial Intelligence in Europe (EurAI 2020). The University of the Basque Country is the leading teaching and research institution in the Basque Country, a prosperous region stretching along the Atlantic coast of northern Spain. The UPV/EHU is among the best 400 universities in the world according to the Shanghai ranking, and has been recognized as an International Excellence Campus by the Spanish Government. The University of the Basque Country, a vibrant 30-year-old institution with 45,000 students, 5,000 world-class academic staff and state-of-the-art facilities distributed across 20 centers at its three campuses. You can find more information here: https://www.hitz.eus/en/recruitment <https://www.hitz.eus/en/recruitment>

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