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[ECAI-2024] Deadline for Tutorial Proposals approaching
by luis.magdalena＠gmail.com 03 Feb '24

03 Feb '24

The 27th European Conference on Artificial Intelligence will be held in the beautiful city of Santiago de Compostela during 19-24 October 2024. We invite proposals for tutorials to be held during the first two days of the conference, alongside workshops and the doctoral consortium. We recently received 48 workshop proposals, so expect a very lively pre-conference programme. The deadline is fast approaching: Thursday, 15 February 2024. Full details here: https://www.ecai2024.eu/calls/tutorials Check the website for further opportunities to participate: submitting a paper to either the main conference or PAIS, submitting a demo paper, or taking part in the doctoral consortium. -- Luis Magdalena Publicity Chair of the European Conference on Artificial Intelligence (ECAI-2024)

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Final Call for NTCIR-18 Task Proposals - Deadline Approaching!
by CHUNG-CHI CHEN 03 Feb '24

03 Feb '24

Dear colleagues, As we edge closer to the deadline, this is the last call for proposals for the NTCIR-18 conference. If you have not yet submitted your task proposal, now is the time to take action. NTCIR (NII Testbeds and Community for Information Access Research) continues its tradition of fostering cutting-edge research in information access, focusing on East Asian languages and English. Following the success of the previous seventeen conferences, we are excited to see what novel and impactful tasks you propose for NTCIR-18. We invite proposals that address significant research questions, utilize authentic data, and aim at practical applications with real-world impact. Your task should also consider the intricacies of evaluating information access technology, including the need for extensive assessments, privacy concerns with proprietary data, and the feasibility of live testing. Please note that the submission deadline is fast approaching: Task Proposal Submission Deadline: Feb 9, 2024 (Anywhere on Earth) Do not miss this final chance to be part of NTCIR-18. Should you have any questions or require further information, please do not hesitate to contact us. Best regards, NTCIR-18 Program Committee Co-Chairs Qingyao Ai, Chung-Chi Chen, and Shoko Wakamiya NTCIR-18: NTCIR-18 Task Proposal Tokyo, Japan, June 10-13, 2025 Conference website https://research.nii.ac.jp/ntcir/index-en.html Submission link https://easychair.org/conferences/?conf=ntcir18proposal NTCIR (NII Testbeds and Community for Information Access Research) is a series of evaluation conferences that mainly focus on information access with East Asian languages and English. The first NTCIR conference (NTCIR-1) took place in August/September 1999, and the latest NTCIR-17 conference was held in December 2023. Research teams from all over the world participate in one or more NTCIR tasks to advance the state of the art and to learn from one another's experiences. Now it is time to call for task proposals for the next NTCIR (NTCIR-18) which will start in March 2024 and conclude in June 2025. Task proposals will be reviewed by the NTCIR Program Committee, following the schedule below. Submission Guidelines We invite new task proposals within the expansive field of information access. Organizing an evaluation task entails pinpointing significant research challenges, strategically addressing them through collaboration with fellow researchers (including co-organizers and participants), developing the requisite evaluation framework to propel advancements in the state of the art, and generating a meaningful impact on both the research community and future developments. Prospective applicants are urged to underscore the real-world applicability of their proposed tasks by utilizing authentic data, focusing on practical tasks, and solving tangible problems. Additionally, they should confront challenges in evaluating information access technology, such as the extensive number of assessments needed for evaluation, ensuring privacy while using proprietary data, and conducting live tests with actual users. In the era of large language models (LLMs), these models are anticipated to significantly influence daily human activities. Nonetheless, the content produced by LLMs often exhibits issues, such as hallucinations. NTCIR-18 specifically encourages tasks that focus on evaluating the quality of content generated by LLMs. *Submission System: https://easychair.org/conferences/?conf=ntcir18proposal <https://jpn01.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasychair…>* Important Dates *Feb 9, 2024 Task Proposal Submission Due (Anywhere on Earth)* Mar 8, 2024 Acceptance Notification of Task Proposals NTCIR-18 TENTATIVE SCHEDULE - March 2024: Kickoff Event - May 2024: Dataset release* - Jun-Dec 2024: Dry run* - Sep 2024-Feb 2025: Formal run* - Feb 1, 2025: Evaluation results return - Feb 1, 2025: Task overview release (draft) - Mar 1, 2025: Submission due of participant papers (draft) - May 1, 2025: Camera-ready participant paper due - Jun 10-13 2025: NTCIR-18 Conference (* indicates that the schedule can be different for different tasks) Proposal Type We will accept two types of task proposals: - Proposal of a Core task: This is for fostering research on a particular information access problem by providing researchers with a common ground for evaluation. New test collections and evaluation methods may be developed through the collaboration between task organizers (proposers) and task participants. At NTCIR-17, the core tasks are Lifelog-5, QA Lab-PoliInfo-4, MedNLP-SC, SS-2, and FinArg-1 (Details can be found at *http://research.nii.ac.jp/ntcir/NTCIR-17/tasks.html* <http://research.nii.ac.jp/ntcir/ntcir-17/tasks.html>). - Proposal of a Pilot task: This is recommended for organizers who propose to focus on a novel information access problem and there are uncertainties either in task designing or organization. It may focus on a sub-problem of an information access problem and may attract a smaller group of participating teams than core tasks. However, it may grow into a core challenging task in the next round of NTCIR. At NTCIR-17, the pilot tasks are FairWeb-1, Transfer, UFO, and ULTRE-2 (Details can be found at *http://research.nii.ac.jp/ntcir/NTCIR-17/tasks.html* <http://research.nii.ac.jp/ntcir/ntcir-17/tasks.html>). Organizers are expected to run their tasks mainly with their own funding and to make the task as self-sustaining as possible. A part of the fund can be supported by NTCIR, which is called "seed funding". It is usually used for some limited purposes such as hiring relevance assessors. The amount of seed funding allocated to each task varies depending on requirements and the total number of accepted tasks. Typical cases would be around 1M JPY for a core task and around 0.5M JPY for a pilot task (note that the amount is subject to change). Proposal Format The proposal should not exceed six pages in A4 single-column format. The first five pages should contain the main part and appendix, and the last page should contain only a description of the data to be used in the task. Please describe the data in as much detail as possible so that we can help your data release process after the proposal is accepted. In the past NTCIRs, it took much time to create memorandums for data release, which sometimes slowed down the task organization. Main part - Task name and short name - Task type (core or pilot) - Abstract - Motivation - Methodology - Expected results Appendix - Names and contact information of the organizers - Prospective participants - Data to be used and/or constructed - Budget planning - Schedule - Other notes Data (to be used in your task) - Details (Please describe the details of the data, which should include the source of the data, methods to collect the data, range of the data, etc.) - License (Please make sure that you have a license to distribute the data, and details of the license should be provided. If you do not have permission to release the data yet, please describe your plan to get the permission.) - Distribution (Please describe how you plan to distribute the data to participants. There are mainly three choices: distributed by the data provider, distributed by organizers, and distributed by NII.) - Legal / Ethical issues (If the data can cause legal or ethical problems, please describe how you propose to address them. e.g. some medical data may need approval from an ethical committee. e.g. some Web data may need filtering for excluding discriminative messages.) If you want NII to distribute your data to task participants on behalf of you, please send an email to *ntc-admin(a)nii.ac.jp* <ntc-admin(a)nii.ac.jp> prior to your task proposal submission attaching the task proposal. Committees*NTCIR-18 Program Co-Chairs* - Qingyao Ai (Tsinghua University, China) - Chung-Chi Chen (National Institute of Advanced Industrial Science and Technology (AIST), Japan) - Shoko Wakamiya (Nara Institute of Science and Technology (NAIST), Japan) *NTCIR-18 General Chairs* - Charles Clarke (University of Waterloo, Canada) - Noriko Kando (National Institute of Informatics, Japan) - Makoto P. Kato (University of Tsukuba, Japan) - Yiqun Liu (Tsinghua University, China) Contact All questions about submissions should be emailed to ntc18-pcc(a)nii.ac.jp

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1st CFP: 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA2024)
by Ekaterina Kochmar 03 Feb '24

03 Feb '24

The 19th Workshop on Innovative Use of NLP for Building Educational Applications (BEA 2024) Location: Mexico City (co-located with NAACL 2024) Date: Thursday, June 20 or Friday, June 21, 2024 (TBD) Website: https://sig-edu.org/bea/current *Submission Deadline: Sunday, March 10, 2024, 11:59pm UTC-12* WORKSHOP DESCRIPTION The BEA Workshop is a leading venue for NLP innovation in the context of educational applications. It is one of the largest one-day workshops in the ACL community with over 100 registered attendees in the past several years. The growing interest in educational applications and a diverse community of researchers involved resulted in the creation of the Special Interest Group in Educational Applications (SIGEDU) <https://www.aclweb.org/adminwiki/index.php?title=2019Q3_Reports:_SIGEDU> in 2017, which currently has over 370 members. The 19th BEA workshop will have a keynote by Alla Rozovskaya <https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY), an invited paper presentation by a member of one of the educational societies from the International Alliance to Advance Learning in the Digital Era ( IAALDE <https://alliancelss.com/>), oral presentation sessions, and a large poster session to maximize the amount of original work presented. This year, the workshop is also hosting two shared tasks: on Automated Prediction of Item Difficulty and Item Response Time <https://sig-edu.org/sharedtask/2024> and on Multilingual Lexical Simplification <https://sites.google.com/view/mlsp-sharedtask-2024>. We expect that the workshop will continue to highlight novel technologies and opportunities for educational NLP in English as well as other languages. The workshop will solicit long, short and demo papers for either oral or poster presentation. We will solicit papers that incorporate NLP methods, including, but not limited to: - use of LLMs and generative AI in educational contexts - automated scoring of open-ended textual and spoken responses; - automated scoring/evaluation for written student responses (across multiple genres); - game-based instruction and assessment; - educational data mining; - intelligent tutoring; - collaborative learning environments; - peer review; - grammatical error detection and correction; - learner cognition; - spoken dialog; - multimodal applications; - annotation standards and schemas; - tools and applications for classroom teachers, learners and/or test developers; and - use of corpora in educational tools. INVITED TALKS The workshop will feature a keynote by Alla Rozovskaya <https://sites.google.com/site/allamrozovskaya/> (Queens College, CUNY) and an invited talk by a speaker from one of the IAALDE <https://alliancelss.com/> societies. IMPORTANT DATES All deadlines are 11.59 pm UTC-12 (anywhere on earth). - Submission Deadline: Sunday, March 10, 2024 - Notification of Acceptance: Sunday, April 14, 2024 - Camera-ready Papers Due: Wednesday, April 24, 2024 - Workshop: Thursday, June 20 or Friday, June 21, 2024 (TBD) SUBMISSION INFORMATION We will be using the ACL Submission Guidelines for the BEA Workshop this year. Authors are invited to submit a long paper of up to eight (8) pages of content, plus unlimited references; final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. We also invite short papers of up to four (4) pages of content, plus unlimited references. Upon acceptance, short papers will be given five (5) content pages in the proceedings. Authors are encouraged to use this additional page to address reviewers’ comments in their final versions. We generally follow ACL submission guidelines <https://aclrollingreview.org/cfp> and will require that all submitted papers should include a dedicated "Limitations" section, which does not count toward the page limit. Papers which describe systems are also invited to give a demo of their system. If you would like to present a demo in addition to presenting the paper, please make sure to select either “long paper + demo” or “short paper + demo” under “Submission Category” in the START submission page. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author’s identity, e.g., “We previously showed (Smith, 1991) …”, should be avoided. Instead, use citations such as “Smith previously showed (Smith, 1991) …”. We have also included conflict of interest in the submission form. You should mark all potential reviewers who have been authors on the paper, are from the same research group or institution, or who have seen versions of this paper or discussed it with you. We will be using the START conference system to manage submissions: *https://softconf.com/naacl2024/BEA2024* <https://softconf.com/naacl2024/BEA2024/> DOUBLE SUBMISSION POLICY We will follow the official ACL double-submission policy <https://aclrollingreview.org/cfp>. Specifically: Papers being submitted both to BEA and another conference or workshop must: ● Note on the title page the other conference or workshop to which they are being submitted. ● State on the title page that if the authors choose to present their paper at BEA (assuming it was accepted), then the paper will be withdrawn from other conferences and workshops. ORGANIZING COMMITTEE - Ekaterina Kochmar <https://ekochmar.github.io/about/>, MBZUAI - *Marie Bexte <https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…>* , FernUniversität in Hagen - Jill Burstein <https://sites.google.com/site/jbursteinets/>, Duolingo - Andrea Horbach <https://www.fernuni-hagen.de/english/research/clusters/catalpa/about-catalp…> , FernUniversität in Hagen - Ronja Laarmann-Quante <https://www.ltl.uni-due.de/team/ronja-laarmann-quante>, Ruhr University Bochum - Anaïs Tack <https://anaistack.github.io/>, KU Leuven - Victoria Yaneva <http://www.victoriayaneva.info/>, National Board of Medical Examiners - Zheng Yuan <https://www.cl.cam.ac.uk/~zy249/>, King’s College London Workshop contact email address: bea.nlp.workshop(a)gmail.com PROGRAM COMMITTEE David Alfter; Tazin Afrin; Erfan Al-Hossami; Giora Alexandron; Desislava Aleksandrova; Bashar Alhafni; Alejandro Andrade; Nischal Ashok Kumar; Berk Atil; Shiva Baghel; Rabin Banjade; Michael Gringo Angelo Bayona; Lee Becker; Lisa Beinborn; Luca Benedetto; Marie Bexte; Serge Bibauw; Ted Briscoe; Jie Cao; Dumitru-Clementin Cercel; Mei-Hua Chen; Hyundong Cho; Mark Core; Orphee De Clercq; Kordula De Kuthy; Jasper Degraeuwe; Yo Ehara; Carrie Demmans Epp; Yang Deng; Chris Develder; Ann Devitt; Barbara Di Eugenio; Elisa Di Nuovo; Yuning Ding; Rahul Divekar; A. Seza Dogruoz; George Dueñas; Mariano Felice; Nigel Fernandez; Michael Flor; Jennifer Frey; Diana Galvan-Sosa; Ashwinkumar Ganesan; Rujun Gao; Sebastian Gombert; Cyril Goutte; Abigail Gurin Schleifer; Samar Haider; Handoko Handoko; Ching Nam Hang; Jiangang Hao; Nicolas Hernandez; Heiko Holz; Chieh-Yang Huang; Chung- Chi Huang; Yi-Ting Huang; Joseph Marvin Imperial; Radu Tudor Ionescu; Qinjin Jia; Helen Jin; Richard Johansson; Masahiro Kaneko; Elma Kerz; Fazel Keshtkar; Alfiya Khabibullina; Mamoru Komachi; Roland Kuhn; Alexander Kwako; Kristopher Kyle; Antonio Laverghetta Jr.; Arun Balajiee Lekshmi Narayanan; Bruce W. Lee; Seolhwa Lee; Xu Li; John Licato; Yudong Liu; Zhexiong Liu; Anastassia Loukina; Jakub Macina; Nitin Madnani; Arianna Masciolini; Sandeep Mathias; Detmar Meurers; Amit Kumar Mishra; Masato Mita; Farah Nadeem; Ryo Nagata; Sungjin Nam; Diane Napolitano; Arun Balajiee Lekshmi Narayanan; Tanya Nazaretsky; Kamel Nebhi; Seyed Parsa Neshaei; Hwee Tou Ng; Gebregziabihier Nigusie; Christina Niklaus; S Jaya Nirmala; Huy Nguyen; Eda Okur; Kostiantyn Omelianchuk; Amin Omidvar; Ulrike Pado; Chanjun Park; E. Margaret Perkoff; Jakob Prange; Long Qin; Mengyang Qiu; Martí Quixal; Manav Rathod; Hanumant Redkar; Robert Reynolds; Frankie Robertson; Alla Rozovskaya; Nicy Scaria; Alexander Scarlatos; Gyu-Ho Shin; Mayank Soni; Katherine Stasaski; Helmer Strik; Hakyung Sung; Hanna Suominen; Abhijit Suresh; Jan Švec; Chee Wei Tan; Zhongwei Teng; Rushil Thareja; Xiaoyi Tian; Sowmya Vajjala; Piper Vasicek; Giulia Venturi; Anthony Verardi; Carl Vogel; Elena Volodina; Taro Watanabe; Michael White; Alistair Willis; Simon Woodhead; Marcos Zampieri; Fabian Zehner; Torsten Zesch; Jing Zhang; Yiyun Zhou; Jessica Zipf; Bowei Zou

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Assistant Professor
by dushyantchauhan27＠gmail.com 02 Feb '24

02 Feb '24

Hello, please suggest to me all the jobs regarding Assistant Professor. Thank you.

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PhD fellowship in Natural Language Processing at University of Oslo
by Yves Scherrer 02 Feb '24

02 Feb '24

The Language Technology Group at the Department of Informatics, University of Oslo, invites applications for a 3-year PhD research fellowship in Natural Language Processing. The PhD project will focus on variety-aware machine translation in a broad sense. While there have been impressive improvements in the field of machine translation in recent years, most systems define their source and target languages at a relatively coarse level (e.g. “English”, “Norwegian”) and do not take into account different types of variation that exist within these language denominations: national varieties (e.g. American vs. British English), writing forms (e.g. Bokmål vs. Nynorsk), dialects, historical varieties, learner language, simple/plain language, as well as different genres and styles. Applicants have considerable freedom to define their research project within the area of variety-aware machine translation. Depending on the chosen variation type, different setups can be explored (variation on the source side, variation on the target side, or translation between two varieties of the same language). The research project should not only produce variety-aware machine translation models, but also contribute to the evaluation of such models. The application should contain a research proposal that specifies the research direction that the applicant wishes to take. The LTG ( https://www.mn.uio.no/ifi/english/research/groups/ltg/ ) is an international and diverse group with a heavily machine-learning oriented research profile combined with an interest for linguistic analysis and knowledge. The LTG currently participates in the EU-funded HPLT project ( https://hplt-project.org/ ), one of whose goals is to provide large datasets for training language and translation models. The LTG is also an active member of Integreat ( https://www.integreat.no/ ), the Norwegian center of excellence for knowledge-driven machine learning. The group has access to excellent high-performance computing infrastructure. The application deadline is 29 February 2024. Further details about the position and application requirements can be found here: https://www.jobbnorge.no/en/available-jobs/job/257218/phd-research-fellow-i… For further information about the position and the application process, please contact Associate Professor Yves Scherrer: yves.scherrer(a)ifi.uio.no <mailto:yves.scherrer@ifi.uio.no>

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Open internship position with funded PhD opportunity: dependency parsing of speech, CNRS/LIG Grenoble, France
by maximin coavoux 02 Feb '24

02 Feb '24

Hi, We invite applications for an internship position at CNRS / Laboratoire d'informatique de Grenoble to work on syntactic parsing of speech. The internship may be followed by a 3-year funded PhD position to work on the same topic. Details can be found here: https://mcoavoux.github.io/internship_proposal.html Best, Maximin Coavoux

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Full Professor Ethics of Digitalization
by Dietrich Klakow 02 Feb '24

02 Feb '24

Saarland University is a campus-based university with a strong international focus and a research-oriented profile. Numerous research institutes on campus and the systematic promotion of collaborative projects make Saarland University an ideal environment for innovation and technology transfer. The German Research Center for Artificial Intelligence (DFKI) is the world's largest independent research institute in the field of artificial intelligence and is internationally recognized as a center of excellence for applied basic research. More information about the DFKI can be found at http://www.dfki.de/. The Department of Philosophy at Saarland University seeks to hire a Professor (W3) in Ethics of Digitalization (m/f/x; Reference no.: W2428) As part of a long-standing collaboration agreement, this professorship position is linked to the leadership of a new research department at the DFKI in Saarbrücken in the same area. At the university, the professorship will complement the existing expertise of colleagues at the Department of Philosophy in the field of ethics of digitalization and establish a strong bridge to the DFKI and the Department of Computer Science. We expect co-optation with the Department of Computer Science. We are looking for a highly motivated and outstanding researcher in the area of Ethics of Digitalization with extensive knowledge in the relevant fields of practical philosophy, computer science, and AI. A demonstrated ability to attract external funding for research projects is highly desired as research at the DFKI is almost exclusively third-party funded. The successful candidate is expected to actively and significantly contribute to departmental research and to teach at the M.Sc./M.A., B.Sc./B.A., and PhD level. The teaching language is English and German. We expect that the successful candidate has, or is willing to acquire within an appropriate period, sufficient proficiency to teach in both languages. It would also be deeply appreciated if the future professor would also participate in teaching at the Department of Computer Science (e.g., the award-winning “Ethics for Nerds” course). The professor will also, as one of his/her main duties, establish and lead a research group of the DFKI with research themes at the intersection of computer science and philosophy that extends the university research group towards interdisciplinary and application- oriented research in the area of ethics of AI. What we offer: Professors (W3) have faculty status at Saarland University, including the right to supervise Bachelor’s, Master’s, and PhD students. The successful candidate will focus on carrying out world-class research, will lead his/her own research group, and will undertake teaching and supervision responsibilities. The position offers excellent working conditions in a lively and international scientific community on campus and across the different DFKI sites and research departments. DFKI and Saarland University are part of the widely known Saarland Informatics Campus, that also includes the two Max-Planck Institutes for Informatics as well as Software Systems, plus the Helmholtz Center for Cyber Security, CISPA. The Department of Philosophy is devoted to Analytic Philosophy and well connected to other university departments, especially to the Department of Computer Science, and to other philosophy departments across Germany and Europe. Together, the Saarland campus provides an interdisciplinary, dynamic, and stimulating research environment. Qualifications: The appointment will be made in accordance with the general provisions of German public sector employment law. Applicants will have a PhD or doctorate in an appropriate area/subject (i.e., related to Ethics of Digitalization) and will have demonstrated an excellent track record of independent academic research (e.g., as a junior or assistant professor, or by having completed an advanced, post-doctoral research degree (habilitation) or equivalent academic activity at a university or research institution) in that area/subject. They will typically have completed a period of postdoctoral research and have teaching and supervision experience at the university level. They must have demonstrated outstanding research capabilities and have the potential to successfully lead and fund their own research group. Your Application: Applications should be submitted online at www.uni-saarland.de/berufungen. No additional paper copy is required. The application must contain: • a cover letter and curriculum vitae (including phone number and email address), • a full list of publications, • a full list of third-party funding (stating own share, if multiple grant holders) • your proposed research plan (2-5 pages), • a teaching statement (1 page), • copies of your degree certificates, • full-text copies of your 5 most important publications, • a list of 3 academic references (including email addresses), at least one of whom must be a person who is outside the group of your current or former supervisors or colleagues. • If available: Proof of equivalence of the foreign university degree from the Central Office for Foreign Education (ZAB; does not apply to university degrees in Germany). If the proof has not yet been requested at the time of application, it must be submitted later upon request. Applications must be received no later than 14 March 2024. Please include the job reference number W2428 when you apply. Selected candidates will be interviewed. Please contact dietrich.klakow(a)lsv.uni-saarland.de if you have any questions. Saarland University regards internationalization as an institution-wide process spanning all aspects of university life and it therefore encourages applications that align with its internationalization strategy. Members of the university's professorial staff are therefore expected to engage in activities that promote and foster further internationalization. Special support will be provided for projects that continue with or expand on collaborative interactions within existing international cooperative networks. Saarland University is an equal opportunity employer. In accordance with its affirmative action policy, Saarland University is actively seeking to increase the proportion of women in this field. Qualified women candidates are therefore strongly encouraged to apply. Preferential consideration will be given to applications from disabled candidates of equal eligibility. We welcome applications regardless of nationality, ethnic and social origin, religion/belief, age, sexual orientation and identity. When you submit a job application to Saarland University you will be transmitting personal data. Please refer to our privacy notice (https://www.uni-saarland.de/verwaltung/datenschutz/) for information on how we collect and process personal data in accordance with Art. 13 of the General Data Protection Regulation (GDPR). By submitting your application, you confirm that you have taken note of the information in the Saarland University privacy notice. The full job advertisement as PDF can be found at: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf…

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[CfP] DLnLD: Deep Learning and Linked Data — LREC-COLING Workshop — 2nd CfP
by Gilles Sérasset 02 Feb '24

02 Feb '24

DLnLD: Deep Learning and Linked Data Workshop colocated with LREC-COLING 2024, Date: May 21, 2024 Venue: Torino, Italy and online For up to date info, check: https://dl-n-ld.github.io/ <https://dl-n-ld.github.io/> Call for Papers ---------------------------------------------------------------------------------------- What does Linguistic Linked Data brings to Deep Learning and vice versa ? Let’s bring together these two complementary approaches in NLP. ---------------------------------------------------------------------------------------- Motivations for the Workshop Since the appearance of transformers (Vaswani et al., 2017), Deep Learning (DL) and neural approaches have brought a huge contribution to Natural Language Processing (NLP) either with highly specialized models for specific application or via Large Language Models (LLMs) (Devlin et al., 2019; Brown et al., 2020; Touvron et al., 2023) that are efficient few-shot learners for many NLP tasks. Such models usually build on huge web-scale data (raw multilingual corpora and annotated specialized, task related, corpora) that are now widely available on the Web. This approach has clearly shown many successes, but still suffers from several weaknesses, such as the cost/impact of training on raw data, biases, hallucinations, explainability, among others (Nah et al., 2023). The Linguistic Linked Open Data (LLOD) (Chiarcos et al., 2013) community aims at creating/distributing explicitly structured data (modelled as RDF graphs) and interlinking such data across languages. This collection of datasets, gathered inside the LLOD Cloud (Chiarcos et al., 2020), contains a huge amount of multilingual ontological (e.g. DBpedia (Lehmann et al., 2015)); lexical (e.g., DBnary (Sérasset, 2015), Wordnet (McCrae et al., 2014), Wikidata (Vrandečić and Krötzsch, 2014)); or linguistic (e.g., Universal Dependencies Treebank (Nivre et al., 2020; Chiarcos et al., 2021), DBpedia Abstract Corpus (Brümmer et al., 2016)) information, structured using common metadata (e.g., OntoLex (McCrae et al., 2017), NIF (Hellmann et al., 2013), etc.) and standardised data categories (e.g., lexinfo (Cimiano et al., 2011), OliA (Chiarcos and Sukhareva, 2015)). Both communities bring striking contributions that seem to be highly complementary. However, if knowledge (ontological) graphs are now routinely used in DL, there is still very few research studying the value of Linguistic/Lexical knowledge in the context of DL. We think that, today, there is a real opportunity to bring both communities together to take the best of both worlds. Indeed, with more and more work on Graph Neural Networks (Wu et al., 2023) and Embeddings on RDF graphs (Ristoski et al., 2019), there is more and more opportunity to apply DL techniques to build, interlink or enhance Linguistic Linked Open Datasets, to borrow data from the LLOD Cloud for enhancing Neural Models on NLP tasks, or to take the best of both worlds for specific NLP use cases. Submission Topics This workshop aims at gathering researchers that work on the interaction between DL and LLOD in order to discuss what each approach has to bring to the other. For this, we welcome contributions on original work involving some of the following (non exhaustive) topics: • Deep Learning for Linguistic Linked Data, among which (but not exclusively): • Modelling, Resources & Interlinking, • Relation Extraction • Corpus annotation • Ontology localization • Knowledge/Linguistic Graphs creation or expansion • Linguistic Linked Data for Deep Learning, among which (but not exclusively): • Linguistic/Knowledge Graphs as training data • Fine tuning LLMs using Linguistic Linked (meta)Data • Graph Neural Networks • Knowledge/Linguistic Graphs embeddings • LLOD for model explainability/sourcing • Neural models for under-resourced languages • Joint Deep Learning and Linguistic Data applications • Use cases combining Language Models and Structured Linguistic Data • LLOD and DL for Digital Humanities • Question-Answering on graph data All application domains (Digital Humanities, FinTech, Education, Linguistics, Cybersecurity…) as well as approaches (NLG, NLU, Data Extraction…) are welcome, provided that the work is based on the use of BOTH Deep Learning techniques and Linguistic Linked (meta)Data. Important Dates All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”) • Final submissions due: 9th March 2024 • Notification of acceptance: 2nd April 2024 • Camera-ready due: 12th April 2024 Authors kit All papers must follow the LREC-COLING 2024 two-column format, using the supplied official style files. The templates can be downloaded from the Style Files and Formatting page provided on the website. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. LREC-COLING 2024 Author’s Kit Page: https://lrec-coling-2024.org/authors-kit/ <https://lrec-coling-2024.org/authors-kit/> Paper submission Submission is electronic at https://softconf.com/lrec-coling2024/dlnld2024/ <https://softconf.com/lrec-coling2024/dlnld2024/> Workshop Chairs • Gilles Sérasset, Université Grenoble Alpes, France • Hugo Gonçalo Oliveira, University of Coimbra, Portugal • Giedre Valunaite Oleskeviciene, Mykolas Romeris University, Lithuania Program Committee • Mehwish Alam, Télécom Paris, Institut Polytechnique de Paris, France • Russa Biswas, Hasso Plattner Institute, Potsdam, Germany • Milana Bolatbek, Al-Farabi Kazakh National University, Kazakhstan • Michael Cochez, Vrije Universiteit Amsterdam, Netherlands • Milan Dojchinovski, Czech Technical University in Prague, Czech Republic • Basil Ell, University of Oslo, Norway • Robert Fuchs, University of Hamburg, Germany • Radovan Garabík, L’. Štúr Institute of Linguistics, Slovak Academy of Sciences, Slovakia • Daniela Gifu, Romanian Academy, Iasi branch & Alexandru Ioan Cuza University of Iasi, Romania • Katerina Gkirtzou, Athena Research Center, Maroussi, Greece • Jorge Gracia del Río, University of Zaragoza, Spain • Dagmar Gromann, University of Vienna, Austria • Dangis Gudelis, Mykolas Romeris University, Lithuania • Ilan Kernerman, Lexicala by K Dictionaries, Israel • Chaya Liebeskind, Jerusalem College of Technology, Israel • Marco C. Passarotti, Università Cattolica del Sacro Cuore, Milan, Italy • Heiko Paulheim, University of Mannheim, Germany • Alexandre Rademaker, IBM Research Brazil and EMAp/FGV, Brazil • Georg Rehm, DFKI GmbH, Berlin, Germany • Harald Sack, Karlsruhe Institute of Technology, Karlsruhe, Germany • Didier Schwab, Université Grenoble Alpes, France • Ranka Stanković, University of Belgrade, Serbia • Andon Tchechmedjiev, IMT Mines Alès, France • Dimitar Trajanov, Ss. Cyril and Methodius University – Skopje, Macedonia • Ciprian-Octavian Truică, POLITEHNICA Bucharest, Romania • Nicolas Turenne, Guangdong University of Foreign Studies, China • Slavko Žitnik, University of Ljubljana, Slovenia

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Call for Participation: VarDial 2024 Shared Tasks
by Yves Scherrer 02 Feb '24

02 Feb '24

Call for Participation - VarDial Evaluation Campaign 2024 The VarDial 2024 organizers are excited to announce the two shared tasks of the 2024 evaluation campaign: 1. The DIALECT-COPA shared task on dialectal causal commonsense reasoning The shared task invites the community to propose, develop, and test approaches for adapting models for causal commonsense language understanding to three dialects of South-Slavic languages: the Slovenian Cerkno dialect, the Croatian Chakavian dialect, and the Serbian, Macedonian and Bulgarian Torlak dialect. Training and development data based on the COPA (Choice of plausible alternatives, Roemmele et al. 2011) dataset are available for four related standard languages (Slovenian, Croatian, Serbian, Macedonian) and two out of the three testing dialects (Cerkno, Torlak), the Chakavian dialect serving as a surprise dialect. Details: https://sites.google.com/view/vardial-2024/shared-tasks/dialect-copa Registration: https://forms.gle/UcLYcPgDFJoiAVip7 Organisers: Nikola Ljubešić, Jožef Stefan Institute, Ljubljana Ivan Vulić, University of Cambridge Goran Glavaš, University of Würzburg 2. DSL-ML - Multi-label classification of similar languages The DSL-ML task is a multi-label extension of the classic "Discriminating similar languages" task that has been popular with VarDial since the beginnings of the workshop. The motivation behind this new task formulation is that some texts do not present any linguistic markers to unambiguously determine their origin. It therefore makes sense to predict several possible labels for such texts. The 2024 DSL-ML task is based on multi-label conversions of existing datasets from five different macro-languages: English, Spanish, Portuguese, French and BCMS (Bosnian, Croatian, Montenegrin, Serbian). Details: https://sites.google.com/view/vardial-2024/shared-tasks/dsl-ml Registration: https://forms.gle/UcLYcPgDFJoiAVip7 Organizers: Adrian Chifu, Aix-Marseille University Radu Ionescu, University of Bucharest Aleksandra Miletić, University of Helsinki Filip Miletić, University of Stuttgart Yves Scherrer, University of Oslo Important dates Shared task announcement and training data release: February 1 Test data release: March 4 Test results submission: March 11 System description paper submission: March 24 Notification of acceptance: April 14 Camera-ready papers due: April 24 VarDial workshop: June 21/22

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UCL Summer School in English Corpus Linguistics 2024
by Aarts, Bas 02 Feb '24

02 Feb '24

The Survey of English Usage at University College London will be running the 11th Summer School in English Corpus Linguistics online from 1-3 July 2024. This Summer School is an accessible and inspiring introductory course in English Corpus Linguistics for students of linguistics and students of the English language. The course will be taught over three days in the morning (UK time). The course consists of theoretical and practical sessions. Students are expected to have a basic knowledge of concepts in linguistics, especially grammar. Places are limited. Be sure to book early to get the early bird rate. For students in full-time education the course fee includes a free copy of either the ICE-GB Corpus (https://www.ucl.ac.uk/english-usage/projects/ice-gb/) or the DCPSE Corpus (https://www.ucl.ac.uk/english-usage/projects/dcpse/), with the associated exploration software ICECUP. For more information about the course and how to apply, see: https://www.ucl.ac.uk/english-usage/summer-school/ Prof. Bas Aarts Department of English Language and Literature UCL Grammarianism Blog: http://bit.ly/1d1zKzN Continuous Professional Development and INSET courses for teachers: https://bit.ly/39qnKIH Twitter: @UCLEnglishUsage and @EngliciousUCL Note: I respect your work/life balance. If I send you an email outside of your normal working hours there is no expectation that you will read or respond to the message at that time.

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2025

2024

2023

2022