April 2023 - Corpora

Computational Linguistics: PhD position, “Archimedes” Center for Research in Artificial Intelligence, Data Science and Algorithms
by stiliani.markantonatou＠gmail.com 30 Apr '23

30 Apr '23

This is a call for a funded, three-year PhD position in Athens, Greece at the “Archimedes” Center for Research in Artificial Intelligence, Data Science and Algorithms (https://www.athenarc.gr/en/archimedes). Through “Archimedes” Greece is expected to be at the forefront of science, in a field of knowledge whose importance is constantly increasing and now has multifaceted applications across the spectrum of economy, society, industry, etc. The successful candidate will work with an interdisciplinary team who focus on the processing of under-resourced language varieties. The main objective of this position is to develop morphologically, syntactically and probably semantically annotated corpora for Greek dialectal varieties, use them for comparative studies of language models and infuse neural models with knowledge from linguistics. Background required: (Near-)native knowledge of Modern Greek, Degree in Linguistics (or equivalent, degree in Modern Greek Linguistics is preferred), background in Corpus Annotation for NLP purposes (morphology and/or syntax), Python programming, familiarity with Machine Learning principles. The candidates should have completed or be close to complete a relevant MA or MSc course. Desired qualifications: Studies in formal and computational linguistics, experience in the formal analysis of language, experience with NLP and ML tools. Contact: Stella Markantonatou (Institute for Language and Speech Processing, "Athena" Research Center, GR, https://www.ilsp.gr/en/members/markantonatou-stella-2/), marks(a)athenarc.gr Deadline: 14 May 2023

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RANLP 2023 Deadline extension
by Nanomi Arachchige, Isuri 29 Apr '23

29 Apr '23

Final Call for Papers ***We are extending the submission deadline by 10 days to 16 May 2023*** RANLP 2023 RECENT ADVANCES IN NATURAL LANGUAGE PROCESSING Hotel "Cherno More" Varna, Bulgaria https://ranlp.org/ranlp2023/ Summer school 'Deep Learning in NLP': 30 August - 1 September 2023 (Wednesday-Friday) Tutorials: 2-3 September 2023 (Saturday-Sunday) Main Conference and Student Research Workshop: 4-6 September 2023 (Monday-Wednesday) Workshops: 7-8 September 2023 (Thursday-Friday) We are pleased to announce that the 14th biennial RANLP conference will take place in September 2023 at the Black Sea city of Varna. In addition to the conference programme of competitively peer-reviewed papers reporting on the recent advances of a wide range of NLP topics, the RANLP conference features 5 keynote speeches. Poster and demo sessions will be held at the conference exhibition area. The conference will be preceded by three days of summer school on Deep Learning in NLP (30 August - 1 September 2023) and two days of tutorials (2-3 September 2023). Post-conference workshops will be held on 7-8 September 2023. A Student Research Workshop will run in parallel to the main conference. The Student Research Workshop (now in its 8th edition) is a vibrant discussion forum for young researchers. As from RANLP 2009, the papers accepted at RANLP and the associated workshops are included in the ACL Anthology. The RANLP proceedings are indexed by SCOPUS and DBLP. The SCOPUS SJR of RANLP proceedings is 0,316 (2021). After 2017, all accepted papers have DOI numbers. CHAIR OF THE PROGRAMME COMMITTEE Ruslan Mitkov (University of Wolverhampton) CHAIR OF THE ORGANISING COMMITTEE Galia Angelova (Bulgarian Academy of Sciences) The Programme Committee members are distinguished NLP experts from all over the world. The list of PC members will be announced at the conference website in due time. INVITED SPEAKERS: The list of keynote speakers at RANLP 2023, tutorial presenters as well as summer school lecturers and tutors includes: KEYNOTE SPEAKERS: * Isabelle Augenstein (Copenhagen University, Denmark) * Eduard Hovy (Carnegie Mellon University, USA) * Sandra Kübler (Indiana University Bloomington, USA) * Efstathios Stamatatos (University of the Aegean, Greece) TUTORIAL PRESENTERS: * Oana-Maria Camburu (UCL, UK) * Iacer Coimbra Alves Cavalcanti Calixto (Amsterdam UMC, the Netherlands) * Sanja Stajner (Karlsruhe, Germany) * Tharindu Ranasinghe (University of Aston, UK) SUMMER SCHOOL LECTURERS and TUTORS: * Lucas Beyer (Google Brain, USA) * Oana-Maria Camburu (UCL, UK) * Iacer Coimbra Alves Cavalcanti Calixto (Amsterdam UMC, the Netherlands) * Tharindu Ranasinghe (University of Aston, UK) * Isuri Anuradha (practical sessions) (University of Wolverhampton, UK) * Laurence Dyer (practical sessions) (University of Wolverhampton, UK) * Anthony Huges (practical sessions) (University of Wolverhampton, UK) * Damith Premasiri (practical sessions) (University of Wolverhampton, UK) WORKSHOPS: Nine workshops will be organised on 7-8 September 2023: * LT-EDI 2023 - Third Workshop on Language Technology for Equality, Diversity and Inclusion * DravidianLangTech 2023 - Third Workshop on Speech and Language Technologies for Dravidian Languages * TSAR 2023 - Workshop on Text Simplification, Accessibility and Readability * ALP 2023 - Workshop on Ancient Language Processing * HumEval 2023 - Third Workshop on Human Evaluation of NLP Systems * BUCC 2023 - 16th Workshop on Building and Using Comparable Corpora * ASE 2023 - 6th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text * ConTeNTS 2023 - Computational Terminology in NLP and Translation Studies * NLP4TIA 2023 - NLP tools and resources for translation and interpreting applications Further details are available at http://ranlp.org/ranlp2023/index.php/post-conference-events/ . SUBMISSION OF PAPERS, POSTERS, DEMOS RANLP invites submission of papers containing original research results that has not been published elsewhere. The submissions will be maintained by the conference management software START. For further instructions, please follow the submission information at the conference website at http://ranlp.org/ranlp2023/index.php/submissions/ . The reviewing process will be anonymous, except for the demo submissions. Double submission is acceptable but authors will be asked to declare it at the time of submission. Submissions will be reviewed by at least three members of the Programme Committee. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. The full conference proceedings will be uploaded on the ACL Anthology. Every accepted paper will have a DOI number. RANLP-2023 aims to provide early notification of acceptance to authors and presenters who need visa to enter Bulgaria. We invite early submissions of authors' names and paper abstracts, in order to plan quick reviewing. Access to the conference management software will be available on 1 April 2023. IMPORTANT DATES Conference abstracts submission: after 1 April 2023 Conference papers submission: 6 May 2023 16 May 2023 Conference papers acceptance notification: 26 June 2023 Camera-ready versions of the conference papers: 31 July 2023 Workshop paper submission deadline (suggested): 10 July 2023 Workshop paper acceptance notification (suggested): 5 August 2023 Workshop paper camera-ready versions (suggested): 25 August 2023 Workshop camera-ready proceedings ready (suggested): 31 August 2023 RANLP Summer School on Deep Learning in NLP: 30 August - 1 September 2023 RANLP tutorials: 2-3 September 2023 (Saturday-Sunday) RANLP conference: 4-6 September 2023 (Monday-Wednesday) RANLP workshops: 7-8 September 2023 (Thursday-Friday) LOCATION and TRAVEL RANLP 2023 will be held in Varna, the largest city on the Bulgarian Black Sea Coast, in Hotel "Cherno More" (http://www.chernomorebg.com/home ). The event venue is centrally located at the entrance of the Sea Garden and offers excellent conference facilities. The city is a major tourist destination with flights to/from the Varna International Airport. It is also known for its Archaeological Museum, which features the oldest gold treasure in the world (https://en.wikipedia.org/wiki/Varna_Necropolis ). THE TEAM BEHIND RANLP-2023 Galia Angelova, Bulgarian Academy of Sciences, Bulgaria (OC Chair) Ruslan Mitkov, University of Wolverhampton, UK (PC Chair) Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, UAE Nikolai Nikolov, INCOMA Ltd., Shoumen, Bulgaria Ivelina Nikolova-Koleva, Bulgarian Academy of Sciences, Bulgaria Petya Osenova, Bulgarian Academy of Sciences, Bulgaria Kiril Simov, Bulgarian Academy of Sciences, Bulgaria (Workshop coordinator)

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ESSAI 2023 Summer School - Call for Participation
by Roberto Navigli 29 Apr '23

29 Apr '23

===================================== CALL FOR PARTICIPATION 1st European Summer School on Artificial Intelligence - ESSAI 2023 24-28 July 2023 Faculty of Computer and Information Science, University of Ljubljana, Slovenia https://essai.si/ With a set of exciting courses! https://essai.si/courses/ ===================================== We are happy to announce that registration for the First European Summer School on Artificial Intelligence (ESSAI) is now open! ESSAI is a new, yearly recurring, event organized under the auspices of the European Association for Artificial Intelligence (EurAI) < https://www.eurai.org/>. ESSAI that intends to serve as a central hub for PhD students and young researchers working in “all aspects of AI”. The need for such a school emerged in early discussions within CLAIRE < https://claire-ai.org/> and transformed into a concrete proposal by the ICT-48 EU research network TAILOR <https://tailor-network.eu/>, and finalized by EurAI. The structure of ESSAI has been deeply inspired by the ESSLLI (European Summer School on Logic, Language and Information), organized since 1989 under the auspices of the Association for Logic, Language and Information (FoLLI). The ESSAI Summer School covers two weeks of courses and workshops in the summer, in different sites around Europe, for beginning and advanced students, as well as senior researchers, on the interface between linguistics, logic and computation. ESSAI provides foundational, introductory, and advanced courses, as well as workshops, covering a wide variety of topics within all areas of AI, and any related, broader or more specific, disciplines. In addition, it hosts four evening lectures in which prominent researchers present interdisciplinary overviews of recent developments for a broad audience. ESSAI also offers a number of social activities for students and senior researchers alike. ESSLLI summer schools have been highly successful, attracting around 400 students from Europe and elsewhere, we expect that ESSAI will be of the same size or larger. ESSAI wants to develop into an important meeting place and forum for discussion for students and researchers interested in the interdisciplinary study of Artificial Intelligence in a broad sense. One of the main attraction points is ESSAI’s special scientific and social atmosphere. ESSAI 2023 offers 24 one-week courses in different areas of artificial intelligence, offering a wide perspective and bridging across subdisciplines. The courses, organized in six parallel tracks, are at foundational, introductory, and advanced levels. ESSAI 2023 comprises the third TAILOR Summer School, and includes EurAI’s Advanced Course on AI (ACAI 2023), consisting of 10 invited tutorials on the topic of AI for Science as an additional advanced track of ESSAI. The courses and tutorials, presented by top AI researchers from all over the world, are complemented with keynotes and social events. ESSAI 2023 will be an in-person one-week-long event in beautiful Ljubljana, a relaxed, green, and vibrant European capital. ESSAI 2023 is colocated with the 34th School in Logic, Language and Information ESSLLI 2023, happening one week later at the same location. Attendees of both schools benefit from reduced registration. *Early registration is available until the 15th of May 2023; go to https://essai.si/registrations/ <https://essai.si/registrations/>* -- ============================================== Roberto Navigli* - Professor* Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape <https://babelscape.com> ==============================================

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MS/PhD positions in NLP at Koç University, Istanbul
by Gozde Gul 28 Apr '23

28 Apr '23

Dear all, We have several openings for fully funded Ph.D. and MS student positions in NLP at Koç University <https://www.ku.edu.tr/en/>, Istanbul. The positions will focus on understanding and processing procedural language provided as natural language instructions (e.g., step-by-step instructions to fix WiFi). Some of the topics are (but are not limited to): - Investigating and designing neural/hybrid models with long-range reasoning on procedural text, - Document-grounded task-oriented dialogue on procedural text, - Designing evaluation metrics and benchmarks for procedural text The "Automatic Learning of Procedural Language from Natural Language Instructions for Intelligent Assistance" is funded by The Scientific and Technological Research Council of Turkiye and is led by Asst. Prof. Gözde Gül Şahin <https://gozdesahin.github.io/>. The position will also be affiliated with KUIS AI <https://ai.ku.edu.tr/>, a thriving international research environment with more than 50 graduate students working on NLP-related topics spread over computer vision, robotics, machine learning, and human-computer interaction. Successful candidates will have the opportunity to collaborate closely with other researchers at the KUIS AI and at Koç University. The primary communication language is English. The preferred starting date is as soon as possible. Qualifications The ideal candidates should be enthusiastic about natural language processing, have excellent mathematical and programming skills, should be team players, and have Bachelor's degrees in computer science, computational linguistics, or a related discipline. Offer Salary: Current KUIS AI fellowship salaries are 11.200TL/mo for MSc and 18.600TL/mo for Ph.D. students. Scholarship raises after a qualified publication as the first author: 1000 TL/mo for MS, 1500 TL/mo for Ph.D., to be re-evaluated every semester. Travel: Full support for top-tier conference publications. Computation: A laptop (or workstation if preferred). Full access to the 2nd largest GPU cluster in Turkiye. Side benefits: Private health insurance, meal card, and student housing based on availability (only for Ph.D. students) How to apply? If you are interested in any of the positions, please send an email to gosahin[at]ku.edu.tr <gosahin(a)ku.edu.tr> with the subject "Ph.D. (or MS) application". Please send a CV, transcript (or records), a copy of a work that you're most proud of (e.g., Master's thesis, conference paper), and a motivation letter stating your research interests. The official application still needs to be done via the application portal as instructed here <https://international.ku.edu.tr/graduate-programs/how-to-apply/>. The official deadline is the 4th of June, however, the applications will be reviewed on a regular basis. Please indicate "NLP" and "Procedural text" as your research interests and mention Dr. Gözde Gül Şahin in your Statement of Purpose. Why Koç University? According to the Times Higher Education, we rank 1st in Türkiye and 36th in the world among universities under 50 years old. - The number of research articles per faculty at Koç University is one of the top in the country. - The working language at KU is English. Koç University (KU) is an endowed, non-profit institution of higher education, located in Istanbul, Türkiye. Founded in 1993 by the Vehbi Koç Foundation, its mission is to produce the most capable graduates by providing a world-class education, to advance the frontiers of knowledge and to contribute to the benefit of Türkiye and humanity at large. KU is spread over a main campus, a separate university hospital campus, and two smaller locations in Istanbul. Since its establishment, KU has quickly become one of the leading research universities in Türkiye, attracting accomplished, high-caliber researchers from all over the world. The vast majority (97%) of 400 faculty members have received their Ph.D. degrees from the most highly selective and reputable universities in the world, including the United States and Europe. The majority of the students enrolled in the undergraduate programs are ranked within the top 1% in the National University Entrance Exam. Currently, the university is ranked among the top three universities in Türkiye in terms of the number of international research publications per faculty member per year. Best, Gözde Gül Şahin Assistant Professor Computer Engineering Department Koç University https://gozdesahin.github.io/

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For the love of God, stop the automatic emails!
by Nick de Carlo 28 Apr '23

28 Apr '23

Whoever is in charge over there, PLEASE stop this Istanbul email!!!! Thank you, Dr. Nickolas Sebastiano de Carlo

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Deadline extension (May 14nd): SEPLN Best PhD Thesis Award
by aitziber.atucha＠ehu.eus 28 Apr '23

28 Apr '23

[Apologies for cross-posting] At the end in English. EDICIÓN XXII PREMIO SEPLN A LA MEJOR TESIS DOCTORAL EN PROCESAMIENTO DEL LENGUAJE NATURAL [Plazo de presentación: 14 de mayo de 2023] La Sociedad Española para el Procesamiento del Lenguaje Natural convoca la Edición XXII del Premio SEPLN a la Mejor Tesis Doctoral en Procesamiento del Lenguaje Natural, que se regirá por las siguientes bases: La finalidad de este premio es la promoción y divulgación de la investigación en el campo del procesamiento del lenguaje natural. La tesis será premiada con una computadora portátil compacta (tablet). Se dará entrega del premio en el 39 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2023), tras una breve presentación del trabajo premiado por parte del autor. Para poder concursar, el autor de la tesis doctoral debe ser socio de la SEPLN en el momento de presentar el trabajo. Ninguna persona concursante podrá participar como autora en más de un trabajo. Se podrán presentar a concurso tesis doctorales leídas durante el año 2022, escritas en una lengua del Estado español o en lengua inglesa. Además de la tesis completa, es imprescindible enviar: Un breve resumen de 4 páginas donde claramente se indique el tema y la relevancia de la investigación, los objetivos, métodos, resultados alcanzados y contribuciones. Una breve descripción de la trayectoria científica del autor de la tesis, en la que se describa la participación en actividades científicas como organización de de tareas competitivas, congresos, generación de recursos open access como conjuntos de datos, modelos de lenguaje, etc., y participación en proyectos, contratos, y/o patentes. La calidad de la presentación, la corrección técnica y metodológica, la relevancia, originalidad, la generación, evaluación y publicación de recursos, así como la trayectoria investigadora durante el periodo predoctoral serán los criterios empleados para la adjudicación del premio por parte del jurado. Los trabajos se enviarán a través de la web de la revista de la Sociedad (http://journal.sepln.org) en formato PDF antes del 2 de mayo de 2023. La resolución del premio se comunicará durante el 39 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2023). Documento con las instrucciones (aquí) Para más información dirigirse a aitziber.atucha(a)ehu.eus 22nd EDITION OF THE SEPLN AWARD TO THE BEST DOCTORAL THESIS IN NATURAL LANGUAGE PROCESSING [Submission deadline: May 14nd, 2023] The Spanish Society for Natural Language Processing announces the 22 Edition of the SEPLN Award for the Best Doctoral Thesis in Natural Language Processing, which will be governed by the following bases: The purpose of this award is the promotion and dissemination of research in the field of natural language processing. The thesis will be awarded with a compact laptop (tablet). The award will be presented at the 39th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2023), after a brief presentation of the award-winning work by the author. In order to compete, the author of the doctoral thesis must be a member of the SEPLN at the time of submitting the work. No contestant may participate as an author in more than one work. Doctoral theses read during the year 2023, written in a language of the Spanish State or in English, may be submitted to competition. In addition to the complete thesis, it is essential to send: a 4-page summary of the thesis, clearly describing the topic and the relevance of the research, the objectives, methods, results achieved and contributions. a brief description of the scientific career of the author of the thesis, detailing the participation in scientific activities such as organization of competitive tasks, congresses, generation of open access resources such as sets of data, language models, etc., and participation in projects, contracts, and/or patents. The quality of the presentation, the technical and methodological correctness, the relevance, originality, the generation, evaluation and publication of resources, as well as the research trajectory during the pre-doctoral period will be the criteria used for the award of the prize by the jury. The works will be submitted through the website of the Society's magazine (http://journal.sepln.org) in PDF format before May 2nd 2023. The final decision will be communicated during the 39th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2023). Submission instructions (http://www.sepln.org/sites/default/files/noticia/documentos_relacionados/20…) For more information: aitziber.atucha(a)ehu.eus

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# Learning with Small Data -- 3rd CfP NEW!! also accepting non-archival 2p abstracts
by Sharid Loáiciga 28 Apr '23

28 Apr '23

# Learning with Small Data -- 3rd CfP DEADLINE EXTENSION -- NEW!! also accepting non-archival 2p abstracts Learning with Small Data September 11-12, 2023 CLASP, University of Gothenburg Come visit us in Gothenburg to our annual workshop organized within the CLASP project activities! Great topic, proceedings published in the ACL anthology, free registration, free food (including gala dinner), amazing keynote speakers: Aurélie Herbelot -- University of Trento Tal Linzen -- NYU & Google Danielle Matthews -- University of Sheffield https://sites.google.com/view/learning-with-small-data/home There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics. Learning with Small Data will bring together researchers from various areas to discuss the sustainability of current state of the art methods in computational linguistics which rely on very large models, such as ChatGPT, GPT2-3, BERT, and XLNet. The conference encourages contributions from machine learning, computational linguistics, theoretical linguistics, philosophy, cognitive science, and psycholinguistics, as well as from artificial intelligence ethics and social policy. We hope to see innovative technical proposals, and we will cultivate a wide spectrum of views within a lively dialog on the issues that the conference addresses. Types of submissions: Short archival paper (4 pages + references) Long archival paper (8 pages + references) Student archival paper (6 pages + references) New !!! Non-archival abstract (2 pages + references) Non-archival submissions will be presented as posters. This is a great opportunity to get feedback on new work that is in progress or to present previously published work to a new audience. To learn more about CLASP, please visit: https://gu-clasp.github.io/ ## Important Dates: Submission deadline: 2023 May 5, anywhere on Earth *New submission deadline extension: 2023 May 12, anywhere on Earth* Notification of acceptance: 2023 June 12, anywhere on Earth Camera ready: 2023 August 14, anywhere on Earth Conference: 2023 September 11-12, not anywhere on Earth, but in Gothenburg Additional details in our website: https://sites.google.com/view/learning-with-small-data/home

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3 NLP PostDoc positions available at MBZUAI
by Ted Briscoe 28 Apr '23

28 Apr '23

We are looking to recruit three postdoctoral researchers in the MBZUAI Department of Natural Language Processing to work with Prof. Ted Briscoe and Dr. Ekaterina Kochmar on the applications of large language models to the EdTech and FinTech domains. The three projects will broadly focus on: - Educational Dialog Systems - Summarization of Financial Regulations - Grammatical Error Correction with the focus on English and Modern Standard Arabic *Qualifications* Applicants should have: - A PhD degree (or be close to obtaining one) in a relevant field - Strong background in natural language processing and/or machine learning with substantial experience in NLP - Strong programming skills in Python - Knowledge of PyTorch and relevant NLP tools. - Excellent command of English and strong communication and presentation skills *Application Instructions* Apply via https://apply.interfolio.com/124150 The positions are available for 2 years initially starting 1st September 2023 with a possibility of subsequent renewal. The salary is tax-free and competitive (approx. USD$75-100K) depending on experience. The benefits include medical insurance, support with relocation and visa application, 30 calendar days vacation leave per year, and generous support for conference attendance. Informal enquiries concerning the projects can be directed to the Faculty Affairs team facultyaffairs(a)mbzuai.ac.ae

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Invitation to EACL-SRW 2023 Career Panel Discussion
by Elisa Bassignana 28 Apr '23

28 Apr '23

Dear all, The Student Research Workshop at EACL 2023 is organizing a career panel discussion on May 4th at 11:15-12:45 CEST. We gathered a great set of panelists at different levels of seniority and from different affiliation types (see below). We invite students (but not limited to) attending EACL to take part in the panel where there will be room for questions from the audience. The SRW EACL 2023 panelists will include: Saif M. Mohammad Dr. Saif M. Mohammad is a Senior Research Scientist at the National Research Council Canada (NRC). He received his Ph.D. in Computer Science from the University of Toronto. Before joining NRC, he was a Research Associate at the Institute of Advanced Computer Studies at the University of Maryland, College Park. His research interests are in Natural Language Processing (NLP), especially Lexical Semantics, Emotions and Language, Computational Creativity, AI Ethics, NLP for psychology, and Computational Social Science. He is currently an associate editor for Computational Linguistics, JAIR, and TACL, and Senior Area Chair for ACL Rolling Review. Joakim Nivre Joakim Nivre is Professor of Computational Linguistics at Uppsala University and Senior Researcher at RISE (Research Institutes of Sweden). He holds a Ph.D. in General Linguistics from the University of Gothenburg and a Ph.D. in Computer Science from Växjö University. His research focuses on data-driven methods for natural language processing, in particular for morphosyntactic and semantic analysis. He is one of the main developers of the transition-based approach to syntactic dependency parsing, described in his 2006 book Inductive Dependency Parsing and implemented in the widely used MaltParser system, and one of the founders of the Universal Dependencies project, which aims to develop cross-linguistically consistent treebank annotation for many languages and currently involves over 130 languages and over 500 researchers around the world. He has produced nearly 300 scientific publications and has over 22,000 citations according to Google Scholar (April, 2023). He is a fellow of the Association for Computational Linguistics and was the president of the association in 2017. Ana Marasović Ana Marasović is an Assistant Professor in the Kahlert School of Computing at the University of Utah. Her primary research interests are at the confluence of NLP, explainable AI, and multimodality. She aims to rigorously validate AI technologies and make human interaction with AI more intuitive. She was a Young Investigator at the Allen Institute for AI from 2019–2022. During that time, she also had a courtesy appointment in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She obtained her PhD in 2019 from Heidelberg University. She received Best Paper Honorable Mention at ACL 2020 and Best Paper Award at SoCal 2022 NLP Symposium. Christos Christodoulopoulos Christos Christodoulopoulos is a Senior Applied Scientist at Amazon Research Cambridge, working on knowledge extraction and verification. He got his PhD at the University of Edinburgh, where he studied the underlying structure of syntactic categories across languages. Before joining Amazon, he was a postdoctoral researcher at the University of Illinois working on semantic role labeling and psycholinguistic models of language acquisition. He has been a co-organiser of the FEVER workshops, an area chair for various ACL conferences, and the general chair for the 2021 Truth and Trust Online conference. André Martins André Martins (PhD 2012, Carnegie Mellon University and University of Lisbon) is an Associate Professor at Instituto Superior Técnico, University of Lisbon, researcher at Instituto de Telecomunicações, and the VP of AI Research at Unbabel. His research, funded by a ERC Starting Grant (DeepSPIN) and other grants (P2020 project Unbabel4EU and CMU-Portugal project MAIA) include machine translation, quality estimation, structure and interpretability in deep learning systems for NLP. His work has received best paper awards at ACL 2009 (long paper) and ACL 2019 (system demonstration paper). He co-founded and co-organizes the Lisbon Machine Learning School (LxMLS), and he is a Fellow of the ELLIS society. Student Research Workshop Co-Chairs Elisa Bassignana, IT University of Copenhagen Matthias Lindemann, University of Edinburgh Alban Petit, University of Paris-Saclay Student Research Workshop Faculty Advisors Valerio Basile, University of Turin Natalie Schluter, Apple and IT University of Copenhagen Contact The organizers of the workshop can be contacted by email at eacl.srw23(a)gmail.com More details can be found at https://sites.google.com/view/eacl2023srw

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[Touché@CLEF 2023 Deadline Extension] Intra-Multilingual Stance Classification in Online Debates (apologies for cross-posting)
by valbarrierepro＠gmail.com 27 Apr '23

27 Apr '23

News: The submission deadline has been extended to the 12th of May We invite you to participate in our multilingual stance classification shared task, as part of the Touché Lab, which will be held in conjunction with the CLEF'23 conference in Thessaloniki, Greece [1]. Context: Participatory Democracy at the scale of a continent like Europe brings many difficulties due to the high diversity of languages and cultures. At the same time, Machine Learning is an interesting tool for stance recognition in a large-scale context, in terms of data size, but also regarding the topics and themes addressed or the languages employed by the participants. Public consultations of citizens using Online Participatory Democracy platforms offer this kind of setting and are good use cases for automatic stance recognition systems. In the context of the Touché Lab at CLEF 2023 [2], we are proposing a shared task on data coming from the platform used during the Conference for the Future of Europe [2] which was inaugurated in 2021, where users can submit proposals and comment over them in any of the 24 official EU languages. A particularity of this platform is the use of a Machine Translation system in order to give the possibility to the users to interact between each others in their native languages, leading to what we call Intra-Multilingual data: pairs of proposal and comment in different languages. [1] https://clef2023.clef-initiative.eu/ [2] https://touche.webis.de/ [3] https://futureu.europa.eu/ Tasks: Given a proposal on a socially important issue, the task is to classify whether a comment is in favor, against, or neutral towards the proposal. Subtask1: Cross-debate Stance Classification. Subtask2: All-data-available Classification Learn more about this and other argumentation- and causality-related tasks at https://touche.webis.de/ Data available at https://touche.webis.de/clef23/touche23-web/multilingual-stance-classificat… Register via the CLEF website: https://clef2023-labs-registration.dei.unipd.it/ ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Registration Jan. 15, 2023: Development data available May 10, 2023: Test data available May 12, 2023: Approaches submission on the test data June 5, 2023: Participant paper submission July 7, 2023: Camera-ready participant papers submission Sep. 18-21, 2023: Conference One of the conference days: Touché Workshop on Argument and Causal Retrieval ------------------------------------------------------------------------------- Special Announcements ------------------------------------------------------------------------------- Touché Open Source Proceedings Touché will host a collection of software developed by participants at GitHub. The Touché team invite you to publish your software too and invite software submissions using TIRA [ https://www.tira.io/ ]. In case of questions / suggestions / etc., please reach us at touche(a)webis.de. Best regards, CoFE Team @ Touché

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2024

2023

2022

Corpora April 2023