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CFP for Forum for Information Retrieval Evaluation (FIRE 2024)
by Bhargav Dave 06 Sep '24

06 Sep '24

Apologies for the multiple postings. ------------------------------------- *Call for Papers* *FIRE 2024: 16th meeting of the Forum for Information Retrieval Evaluation* 12th - 15th December 2024 DA-IICT, Gandhinagar, India *Extended Submission Deadline: 16th September 2024* Website: fire.irsi.org.in Submission Link : https://cmt3.research.microsoft.com/FIRE2024 ------------------------------ The 16th meeting of the Forum for Information Retrieval Evaluation 2024 will be held at Dhirubhai Ambani Institute of Information and Communication Technology (DA-IICT), Gandhinagar, India. It will be an in-person conference. We are seeking submissions of high-quality and original papers. Submissions will be reviewed by experts on the basis of the originality of the work, the validity of the results, chosen methodology, writing quality and the overall contribution to the field of IR/NLP. Authors are also encouraged to describe work in progress and late-breaking research results. *Topics of interest include, but are not limited to* 1. Search and Ranking: Research on core algorithmic topics in IR: 1. Queries and query analysis (e.g., Query understanding, query reformulation, query representation etc.) 2. Retrieval models and ranking (e.g., Cross lingual IR with a particular focus on Indian languages, ranking algorithms, language models, retrieval algorithms, learning to rank etc) 3. Efficiency and scalability (e.g., distributed search, search engine architecture, indexing, crawling etc). 4. Supervised/Weakly supervised deep neural networks. 5. Other domain-specific applications of IR. 2. Evaluation: Research on evaluation of IR systems: 1. User centric evaluation (e.g., User experience, user engagement etc) 2. System centric evaluation (e.g., Evaluation metrics). 3. Query Performance Prediction and its applications. 3. Generative Models for IR/NLP. 1. Conversational and Interactive Search Systems 2. Simulated Data for Personalized IR. 3. Issues related to fairness and trustworthiness of IR/Recsys models 4. In-Context Learning or Retrieval Augmented Generation for Search and NLP downstream tasks, such as Question Answering, Summarization 5. Domain-specific generation, such as Code generation, Argument generation, Workflow generation. 4. Explainability, Fairness and Trust of IR/Recsys models 1. Explainable models for ranking, text classification/clustering, summarization etc. 2. User studies for explainable AI (XAI) applied to IR/Recsys 3. Issues related to fairness and trustworthiness of IR/Recsys models 5. Multimodal and Crossmodal IR/Recsys model 1. Visual Question Answering 2. Image search/recommendation 3. Question answering 4. Multimodal document summarization *Important dates* *25th July 2024* Paper submission link <https://cmt3.research.microsoft.com/FIRE2024> will be available *5th September 202 16th September 2024 * Paper submission deadline *30th October 2024 * Paper acceptance notification *10th November 2024 * Camera ready copy submission deadline *12th-15th December 2024* In-person conference Note: All submission deadlines are 11:59 PM AoE Time Zone (Anywhere on Earth). *Submission Guidelines* Submissions must describe substantial, original and unpublished work. Wherever appropriate, concrete evaluation and analysis must be included. If the paper being submitted is under review at any other venue, the same should be explicitly mentioned when making the submission. Such a paper, if accepted, should be withdrawn from all other places. The FIRE conference track, this year, is subdivided into 2 different subtracks (described later), each with a different scope and objective, and with different reviewing policy. Please make sure that you are submitting your paper in the correct track. No requests for switching papers across tracks will be entertained after the deadline for paper submission expires. Submissions will be taken through Microsoft CMT. Select the "Conference Track" while submitting the paper and in the subject area select the appropriate paper type (Regular Paper, Resource and Demo Paper, Extended Abstract). Please note that incorrect submission will be desk rejected. Link to submit the paper: https://cmt3.research.microsoft.com/FIRE2024 *Paper Template and Submission* The submitted papers must follow LNCS (Springer conference) template available on https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer… . The only accepted format of submissions is PDF. Papers which do not conform to the requirements may get rejected without review. Please note that it is the responsibility of the authors to ensure that the PDF submission has been uploaded successfully (we suggest that you try downloading your paper again yourself, to check). Authors are invited to submit in any of the following tracks: - *Regular paper* Similar to last year, this year, also we don’t make any explicit distinction between long and short papers. More time will be allocated for longer papers during the presentation. Submitted papers can be of *variable length* up to a *maximum of 12* pages of *content (excluding references)* . Reviewing policy: Double-blind. - *Resource and Demo paper* The papers submitted at this track should describe data or software resources towards a research problem that will be helpful to the IR/NLP/AI community. Such resources should ideally be made publicly available for reviewers to judge the merit of the resources. The demo papers should contain a link to a working software that demonstrates the application of existing research methods as a proof-of-the-concept. Reviewing policy: Single-blind. Number of pages: *variable length* up to a *maximum of 9* pages of *content (excluding references).*. *Double-blind Reviewing Policy* All submissions to the regular track of FIRE conference 2024 will be reviewed on the basis of originality, relevance, importance, and clarity. For papers submitted to the regular track, the authors must not mention their names or institutional details anywhere in the paper. Authors should refer to themselves in third person when citing their own work. Expressions like "In our earlier work..." or "We previously showed that..." must be avoided. *Presentation Requirements* If accepted, at least one author will have to register for the conference and present their work in-person. *Conference Track Co-ordinator* - Debasis Ganguly (University of Glasgow, UK) - Debarshi Kumar Sanyal (Indian Association for the Cultivation of Science, Kolkata, India) For queries related to conference please email us at [ clia(a)isical.ac.in ] For latest updates subscribe the FIRE mailing List [ https://groups.google.com/forum/#!forum/fire-list ]

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First call for papers: "WR•AI•CogS•1 Writing Aids at the Crossroads of AI, Cognitive Science, and NLP"
by Michael Zock 06 Sep '24

06 Sep '24

First call for papers: WRAICogS1 - Writing Aids at the Crossroads of AI, Cognitive Science, and NLP https://sites.google.com/view/wraicogs1 Co-located with COLING 2025, Abu Dhabi, https://coling2025.org/ Paper submission deadline: November 25, 2024 Paper submission: https://softconf.com/coling2025/AAC-AI25/ *Keynote speaker: Cerstin Mahlow, Professor of Digital Linguistics and Writing Research, ZHAW School of Applied Linguistics, Winterthur, Switzerland MOTIVATION This workshop is dedicated to developing writing aids grounded in human cognition (limitations of attention and memory, typically observed habits, knowledge states, and information needs). In other words, we focus on the cognitive and engineering aspects of interactive writing. Our goal is not only to help people acquire and improve their writing skills but also to enhance their productivity. By leveraging computer technology, we aim to enable them to produce better texts in less time. Writing is one of the four cornerstones of communication. By leaving a trace, it allows us to reach many people, to transcend space and time, and to spare ourselves the trouble of memorization. Writing is undeniably important, whether as a communication tool, a thinking aid, or a memorial support. However, what is less obvious is the process—that is, the precise steps required to transform an intuition or vague idea into concrete, well-polished prose. Producing readable, well-written text requires many skills, deep and broad knowledge of various sorts (topic, language, audience, metaknowledge, i.e., how to use the information at hand?)— a lot of practice and appropriate feedback. No one can learn all this overnight. The quantity and diversity of knowledge to interiorize, as well as the variety of cognitive states encountered, may explain why writing is so difficult and why it takes time to gain control over the whole process and become an expert writer. Unfortunately, knowledge alone is not enough. Writing is also a time- and energy-consuming endeavor. It is very hard work. Since writing is difficult, and since there are now computer programs capable of doing it, one may wonder: (a) whether we should leave the job entirely to the machine, or (b) whether we could use these programs to help people write or to acquire the skill of writing. Indeed, there are situations where it makes sense to rely on machines (e.g., routine work, business letters), but there are also many situations where this strategy is not recommended (e.g., writing to understand, writing to enrich and clarify our thoughts, writing to support thinking). That being said, one may find a middle ground where humans and machines work together, each contributing their strengths. It remains to be seen where machines can assist in the process (e.g., idea generation, idea structuring, translation into language, revision, editing) and where it is better to leave control to humans. Hence, the main question is not whether we should use LLMs to produce texts, but rather how, when, and at what level to use them or other techniques to help people produce written text. In sum, our main goal is not to substitute machines for people or to have them do the job in people's place, but rather to have machines assist people. Specifically, we aim to help people learn to write, speed up the process, gain better control, and reduce stress and cognitive load. Our motivation is largely practical and educational. Obviously, we are not the first ones to pursue this goal. However, while many workshops focused on developing educational software, creating intelligent writing assistants, or evaluating written text, the submitted papers have primarily addressed formal aspects, such as grammatical error detection and spotting spelling mistakes. Yet good writing (text composition) requires much more than just the production of well-formed sentences. Our mission is to go beyond merely identifying errors or mistakes made at the very end of the writing process, such as those due to ignorance or inattention. Instead, we aim to evaluate the quality of the choices made at higher levels. In other words, we are interested in the full spectrum of writing, including technology-based writing aids that address all tasks involved in writing: conceptual planning (ideation, organization), linguistic expression, editing, and revision. Hence, we welcome papers that focus on the higher levels of composition—such as thinking, reasoning, and planning (idea generation, outline planning)—as well as those concerned with the lower levels (grammar, spelling, and punctuation). Arguably, this is the first workshop to: a) Consider the entire spectrum of writing rather than only the lower levels, b) Integrate humans right from the start into the development cycle of writing aids, and c) Provide support and feedback at any moment —before, during, and after writing— rather than only at the very end. TOPICS We welcome contributions on all topics related to writing aids, including but not limited to the following: 1. The Human Perspective: Cognitive scientific viewpoints, including education, psycholinguistics, and neuroscience. * Support: How can AI tools support critical thinking and logical reasoning in writing? How can writing assistants tailor feedback to individual writers, considering their unique needs and styles? How can we assess the quality and impact of AI-generated feedback on students' writing (methods, metrics, etc.)? * Topical coherence: How can we help people organize their ideas into a coherent whole? How do we model or operationalize the concept of a topic, the paragraph's most central element? How do we detect possible topics within our data? What are typical subtopics of a given topic, and how do we identify them? How do we cluster content/ideas into topics and give the clusters appropriate names? * Building software: How do we include humans in the development cycle of writing aids? How and at what level can engineers use insights from psycholinguistics and neuroscience? How can they model the writing process while accounting for human and technological factors? * Metacognition: What do people typically know about writing in general and their own writing in particular? What are their problems and needs? How do people manage to coordinate the different processes? What should an authoring ecosystem look like (components)? What could be automated, and what is best left for interactive processing? * Shared task: What kind of shared task would be meaningful while being technically feasible? 2. The Engineering Side * LLMs: Where in the writing process could we use methods developed in AI (e.g., LLMs) or computational linguistics (e.g., content generation, content structuring, translation into language, revision)? What are the potential benefits, dangers, and limitations of LLMs as writing aids? How could revealing the 'knowledge' embedded within black-box models improve their effectiveness, particularly in terms of increasing the accuracy and relevance of the feedback they provide? How can we address challenges related to data collection, privacy, and ethical considerations in developing and deploying AI writing tools? * Tools and resources: What kind of tools and resources (e.g., Sketch Engine, Rhetorical Structure Theory, knowledge graphs, and linked data) could be useful? * Quality assessment: How can we check the veracity of facts, relevance, cohesion, coherence, style, fluency, proper use of pronouns, grammar, word choice, spelling, and punctuation? * Enhancement and evaluation: How do we enhance text analysis during or after writing (e.g., quality of coherence, style) using corpus linguistic tools? How do we evaluate or compare existing writing assistants (e.g., adequacy, design features, ease of use, lessons learned)? SUBMISSION INSTRUCTIONS Please submit your papers via the START/SoftConf submission portal (https://softconf.com/coling2025/AAC-AI25/), following the COLING 2025 templates. Submitted versions must be anonymous and should not exceed 8 pages for long papers and 4 pages for short papers. References do not count toward the page limit, and may be up to 4 pages long. Supplementary material and appendices are also allowed. We also invite papers discussing tools and applications (system demonstrations) related to our workshop topics. PARTICIPATION The workshop requires a physical presence. If any authors are unable to attend and present in person, alternative arrangements (such as remote presentations or video recordings) may be considered. However, we cannot guarantee these options, as the COLING organizers and local chairs have informed us that they will not provide technical support or online access. Generally, work presented in person will be given preference over work presented virtually. WORKSHOP ORGANIZERS * Michael Zock (CNRS, LIS, Aix-Marseille University, Marseille, France) * Kentaro Inui (Mohamed bin Zayed University of Artificial Intelligence, UAE; Tohoku University, Japan; RIKEN, Japan) * Zheng Yuan (King's College London and the University of Cambridge, UK) PROGRAM COMMITTEE 1. Barbu Mititelu, Verginica (Research Institute for Artificial Intelligence, RACAI, Bucharest, Romania) 2. Biemann, Chris (Language Technology Group, Universität Hamburg, Germany) 3. Bryant, Christopher (Writer Inc., USA; University of Cambridge, UK) 4. Bunt, Harry (Tilburg University, Department of Cognitive Science and Artificial Intelligence) 5. Church, Ken (Northeastern University, USA) 6. Cristea, Dan (University of Iasi, Iasi, Romania) 7. Coyne, Steven (Tohoku University, Sendai, Japan) 8. Dale, Robert (Language Technology Group, Church Point, NSW, Australia) 9. Delmonte, Rodolfo (Department of Computer Science, Università Ca’ Foscari, Italy) 10. Evert, Stephani (Computational Corpus Linguistics at Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany) 11. Ferret, Olivier (CEA LIST, France) 12. Fontenelle, Thierry (European Investment Bank, Luxembourg) 13. François, Thomas (CENTAL, Université catholique de Louvain, Belgium) 14. Gadeau, Gabriella (Department of Computer Science and Technology, University of Cambridge, UK) 15. Galván, Diana (University of Cambridge) 16. Guerraoui, Camélia (Tohoku University, Sendai, Japan) 17. Hernandez, Nicolas (University of Nantes, France) 18. Hovy, Edward (University of Melbourne, Australia, and Carnegie Mellon, USA) 19. Iacobacci, Ignacio (London's Speech and Semantics Lab, UK) 20. Ishii, Yutaka (Chiba University) 21. Ito, Takumi (Langsmith/Tohoku University ) 22. Lafourcade, Mathieu (Université de Montpellier, France) 23. Langlais, Felipe. (DIRO/RALI, University of Montreal, Canada) 24. Mahlow, Cerstin (ZHAW School of Applied Linguistics, Winterthur, Switzerland) 25. Matsubayashi, Yuichiro (Tohoku University) 26. Pease, Adam (Parallax Research, Beavercreek, OH, USA) 27. Pirrelli, Vito (Institute of Computational Linguistics, University of Pisa) 28. Raganato, Alessandro (DISCO, University of Milano-Bicocca, Italy) 29. Redeker, Gisela (University of Groningen, The Netherlands) 30. Reed, Chris (University of Dundee, Scotland) 31. Reiter, Ehud (University of Aberdeen, Scotland) 32. Rosso, Paolo (Universitat Politècnica de València, Spain) 33. Saggion, Horacio (Universitat Pompeu Fabra, Spain) 34. Schwab, Didier (GETALP-LIG, Grenoble, France) 35. Strapparava, Carlo (Fondazione Bruno Kessler, Trento, Italy) 36. Tesfaye, Debela (University of Dundee, Scotland) 37. Varzandeh, Mohsen (Shiraz University of Medical Sciences, Shiraz, Iran) 38. Wanner, Leo (Universitat Pompeu Fabra, Spain) 39. Winniwarter, Werner (CSLEARN, Educational Technologies, Vienna, Austria) 40. Zheng, Yuan (King's College London and University of Cambridge, UK) FOR MORE DETAILS * Background knowledge: https://sites.google.com/view/wraicogs1/home/background-and-topics -- Michael ZOCK Emeritus Research Director CNRS LIS UMR 7020 (Group TALEP) Aix Marseille Université 163 avenue de Luminy - case 901 13288 Marseille / France Mail: michael.zock(a)lis-lab.fr <mailto:michael.zock@lis-lab.fr> Tel.: +33 (0)6 51.70.97.22 Secr.: +33 (0)4.86.09.04.60 http://pageperso.lif.univ-mrs.fr/~michael.zock/ <http://pageperso.lif.univ-mrs.fr/%7Emichael.zock/>

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Asia Pacific Journal of Corpus Research (APJCR) Vol. 4, No. 1 is now available online
by Prof CK Jung 04 Sep '24

04 Sep '24

*Asia Pacific Journal of Corpus Research (APJCR) is now available online:* http://icr.or.kr/ejournals-apjcr *The Incredible Shrinking Noun Phrase: Ongoing Change in Japanese Word Formation*Kevin Heffernan, (Kwansei Gakuin University), JAPAN; Yusuke Imanishi (Kwansei Gakuin University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.1 ________________________________________ *Identifying Key Grammatical Errors of Japanese English as a Foreign Language Learners in a Learner Corpus: Toward Focused Grammar Instruction with Data-Driven Learning* Atsushi Mizumoto (Kansai University), JAPAN; Yoichi Watari (Chukyo University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.25 ________________________________________ *A Comparison of the Constructions Make / Take a Decision in Malaysian English with the Supervarieties * Christina Sook Beng Ong (Wawasan Open University), MALAYSIA DOI: https://doi.org/10.22925/apjcr.2023.4.1.43 ________________________________________ *Effects of Corpus Use on Error Identification in L2 Writing * Yoshiho Satake (Aoyama Gakuin University), JAPAN DOI: https://doi.org/10.22925/apjcr.2023.4.1.61 --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Associate Professor | Department of English Language and Literature, Incheon National University, *South Korea* President | The Korea Association of Secondary English Education, *South Korea *(http://kasee.org) Vice President | The Korea Association of Primary English Education), *South Korea *(http://kapee.or.kr) Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor-in-Chief | Asia Pacific Journal of Corpus Research, ICR, *International* (http://icr.or.kr/apjcr) Editorial Board | Corpora, Edinburgh University Press, *UK* Editorial Board | English Today, Cambridge University Press, *UK* E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129 H(EN): http://ckjung.org

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2nd Call for Papers: NoDaLiDa/Baltic-HLT 2025
by Sara Stymne 03 Sep '24

03 Sep '24

***Apologies for possible cross-posting *** The two major conferences in the Baltic and Nordic regions, NoDaLiDa, organized by The Northern European Association for Language Technology (NEALT) and Baltic HLT are joining forces to organize NoDaLiDa/Baltic-HLT 2025 – The Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies, to be held in Tallinn, Estonia, on March 2–5, 2025. https://www.nodalida-bhlt2025.eu/conference SUBMISSIONS NoDaLiDa/Baltic-HLT 2025 addresses all aspects of natural language processing, speech recognition and synthesis, and computational linguistics, including work in closely related neighboring disciplines (such as, for example, machine learning, linguistics, digital humanities, or psychology) that is sufficiently formalized or applied to bear relevance to speech and language technologies. We invite paper submissions of three types: * regular papers on substantial, original, and unpublished research, including empirical evaluation results, where appropriate; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces; and * demonstration papers on software or resource demonstrations, e.g. of systems, interfaces, infrastructures, data collections, or annotations. Demonstration papers do not need to be anonymous. We particularly encourage submission of papers on completed or ongoing work, where the first author is a Master's or PhD student. This should be indicated at submission time. Papers accepted for presentation at the conference will be included in the NoDaLiDa/Baltic-HLT 2025 proceedings, which are published in the ACL Anthology and the NEALT Proceedings Series at DSpace at Tartu University Library (negotiations for indexation are ongoing and expected to be in place at publication time) SCHEDULE * Monday, October 21, 2024: Submission of Papers * Monday, December 9, 2024: Notification of Acceptance * Monday, January 13, 2025: Camera-Ready Manuscripts * Monday and Tuesday, March 3–4, 2025: Main Conference The main conference will be held on-site only, without an online option, in order to facilitate networking. SUBMISSION FORMATS All submissions must follow the NoDaLiDa 2025 style files, which will be available for LaTeX (preferred) and MS Word. Submissions must be anonymous, i.e. not reveal author(s) on the title page or through self-references. Papers must be submitted digitally, in PDF, and uploaded through the online conference system. Paper submissions that violate either of these requirements will be returned without review. The page limits for submissions are: up to eight pages for regular papers and up to four pages for short papers and demo papers. For all three submission types, these page limits do not include additional pages with bibliographic references. We do not allow any extra pages for appendices. DOUBLE SUBMISSION and PRE-PUBLICATION Papers that have been or will be submitted to other venues must indicate this at submission time and must be withdrawn from the other venues if accepted to NoDALiDa/Baltic-HLT 2025. Authors of papers accepted for presentation at NoDALiDa/Baltic_HLT must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. We follow the ACL Anonymity Policy, which means that we have no anonymity period. Authors are still cautioned against extensive advertising. SUBMISSION MANAGEMENT Submissions to the conference must be uploaded electronically, obeying the above requirements, and no later than (end of day, anywhere on earth): Monday, October 21, 2024. Submission is done through OpenReview: https://openreview.net/group?id=NoDaLiDa/Baltic-HLT/2025/Conference Please note: To submit a paper, you need an account on OpenReview. For persons without an institutional email, it can take up to two weeks to have an account verified. Thus, please create an account early if you don’t have one already! PROGRAM COMMITTEE General Chair * Sara Stymne, Uppsala University, Sweden Program Chairs * Mark Fišel, University of Tartu, Estonia * Daniel Hershcovich, University of Copenhagen, Denmark * Jenna Kanerva, University of Turku, Finland * Pierre Lison, Norwegian Computing Centre, Norway * Inguna Skadiņa, University of Latvia, Lativa * Andrius Utka, Vytautas Magnus University, Lithuania Workshop chairs * Normunds Grūzītis, University of Latvia, Latvia * Samia Touileb, University of Bergen, Norway Publication chair * Richard Johansson, Chalmers Technical University, Sweden Social media chair * Mike Zhang, Aalborg University, Denmark To inquire about the submission and reviewing process or the scientific program of the conference, please email ‘nodalida_baltichlt_2025-pc(a)googlegroups.com<mailto:nodalida_baltichlt_2025-pc@googlegroups.com>’. Local Chairs * Helen Kaljumäe, Institute of the Estonian Language, Estonia * Kadri Vare, Institute of the Estonian Language, Estonia * Merily Remma, Institute of the Estonian Language, Estonia For all practical inquiries, please email ‘nodalida_baltichlt_2025-loc(a)eki.ee<mailto:nodalida_baltichlt_2025-loc@eki.ee>’. Follow us on X: https://twitter.com/NoDaLiDa Web page: https://www.nodalida-bhlt2025.eu/conference När du har kontakt med oss på Uppsala universitet med e-post så innebär det att vi behandlar dina personuppgifter. För att läsa mer om hur vi gör det kan du läsa här: http://www.uu.se/om-uu/dataskydd-personuppgifter/ E-mailing Uppsala University means that we will process your personal data. For more information on how this is performed, please read here: http://www.uu.se/en/about-uu/data-protection-policy

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[Job] Research Assistant Professor Position Available in JAIST (Japan Advanced Institute of Science and Technology)
by naoya.inoue.lab＠gmail.com 03 Sep '24

03 Sep '24

Hello Everyone, RebelsNLU Lab (Reading between the Lines for Natural Language Understanding Lab) at JAIST (Japan Advanced Institute of Science and Technology) conducts extensive research in knowledge, reasoning, and natural language processing, spanning a broad spectrum from fundamental to application-oriented research. Our lab is set in a naturally rich environment and benefits from an internationally diverse atmosphere. We are pleased to announce that we have started accepting applications for a Research Assistant Professor position, as detailed below. If you are interested, we welcome informal discussions, so please feel free to contact Professor Inoue (naoya-i(a)jaist.ac.jp). We look forward to receiving your application. Thank you very much. === [Affiliation] School of Advanced Science and Technology, Japan Advanced Institute of Science and Technology (JAIST), Computing Science Research Area [Position] Research Assistant Professor [Laboratory] RebelsNLU Lab (https://rebelsnlu.super.site) [Job Description] - Research: Conduct research related to natural language processing, focusing on knowledge and reasoning. - Education: Teach courses related to information science and supervise master’s and doctoral students in the lab, as well as students with secondary projects from other laboratories. [Term] April 1, 2025 – March 31, 2026 (renewable, up to a maximum of five years) [Application Deadline] September 13, 2024 (Friday) 17:00 (Japan Time) For more details, please refer to the following URLs: - https://jrecin.jst.go.jp/seek/SeekJorDetail?id=D124071630&ln=1 - https://www.jaist.ac.jp/top/data/cs20240722-2e.pdf === Naoya Inoue / 井之上直也 Associate Professor, School of Information Science, Japan Advanced Institute of Science and Technology (JAIST) Address: Information Science Building #1 I-51, 1-1 Asahidai, Nomi, Ishikawa 923-1292 Japan Tel: (+81) 0761-51-1264 E-mail: naoya-i(a)jaist.ac.jp Web: https://naoya-i.info/ (personal), https://rebelsnlu.super.site/ (Lab)

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Senior Lecturer in Natural Language Processing Position Available at University of Sheffield
by n.s.moosavi＠sheffield.ac.uk 03 Sep '24

03 Sep '24

The SheffieldNLP group is pleased to announce an exciting opportunity for a Senior Lecturer in Natural Language Processing! As one of the largest and most productive NLP research groups in the UK, with 13 academic members, we are seeking a dedicated and passionate researcher to join our innovative and dynamic team. Our research covers a wide range of NLP areas, including foundational models, machine learning for NLP, various real-world applications, and much more. This is an excellent opportunity to contribute to groundbreaking research and advance the field. Located in the vibrant and green city of Sheffield, this role offers an exceptional quality of life, with affordable living, a thriving arts scene, and a welcoming community. Moreover, with a light teaching load, you will have more time to engage in impactful research and collaborative projects. More details and application link: https://www.jobs.ac.uk/job/DJN226/senior-lecturer-in-natural-language-proce… 📅 Application Deadline: 6th October 2024

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Position as Team Lead/Senior Researcher in NLP for Computational Social Science
by Dietze, Stefan 03 Sep '24

03 Sep '24

Dear all, We are offering an exciting position as team lead / senior researcher within the department Knowledge Technologies for the Social Sciences (https://gesis.org/en/kts) at GESIS in Cologne, Germany. The position holder will lead and further develop a team of researchers working on innovative methods and infrastructures for computational social scientists based on research in information extraction, NLP, machine learning and web mining. The position is limited to 4 years, with option for tenure/permanency. Further information can be found at https://www.hidden-professionals.de/HPv3.Jobs/gesis/stellenangebot/39995/Se…. For any questions, please don't hesitate to get in touch with me. Best regards, Stefan -- Prof. Dr. Stefan Dietze Scientific Director Knowledge Technologies for the Social Sciences GESIS - Leibniz Institute for the Social Sciences Web: https://www.gesis.org/en/kts Chair of Data & Knowledge Engineering Heinrich-Heine-University Düsseldorf Web: https://www.cs.hhu.de/en/research-groups/data-knowledge-engineering Phone: +49 (0)221-47694-421 Web: http://stefandietze.net

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Joint call for NAACL/ACL/EMNLP 2025 workshops
by z＠zeerak.org 02 Sep '24

02 Sep '24

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CFP SIMBig: Travel Awards of USD 750 and USD 450, Deadline Extended, Registration Fee USD 30
by Juan Antonio Lossio-Ventura 02 Sep '24

02 Sep '24

> [Apologies for cross-posting] > > *** Due to NEW TRAVEL AWARDS, we extended the submission deadline to September 7, 2024 *** > > *** 6 TRAVEL AWARDS of USD 750 and USD 450 to attend the conference. *** > > ========================================================================== > EXTENDED CALL FOR PAPERS - SIMBig 2024 > ========================================================================== > 11th International Conference on Information Management and Big Data - SIMBig 2024 > Where: Universidad Nacional de Moquegua, Ilo, PERU > When: November 20 - 22, 2024 > Website: https://simbig.org/SIMBig2024/ > Free Publication: No fees associated with publication > ========================================================================== > > OVERVIEW > ---------------------------------- > > SIMBig 2024 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS > ---------------------------------- > Aaron Courville, Université de Montréal, Canada Mona Diab, Carnegie Mellon University, USA Anna Korhonen, University of Cambridge, UK Huan Liu, Arizona State University, USA > > TRAVEL AWARD > ---------------------------------- > > Thanks to the Artificial Intelligence Journal - AIJ <https://aij.ijcai.org/> support, SIMBig 2024 is offering six (6) travel awards for students/authors attending the conference. The purpose of the grant is to broaden participation to increase the diversity of attendants and help students present their contributions. > > Each award will consist of up to USD 750 for international students/authors and USD 450 for national students/authors. The allocation of the award will be based on the quality of the paper. All authors participating in the main conference or special tracks are eligible. > > > IMPORTANT DATES > ---------------------------------- > > August 10, 2024 September 07, 2024 --> Full papers and short papers due > September 30, 2024 --> Notification of acceptance > October 28, 2024 --> Camera-ready versions > November 20-22, 2024 --> Conference held in Moquegua, Peru > > PUBLICATION > ---------------------------------- > > All accepted papers of SIMBig 2024 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899>. > > > CONFERENCE FEES > ---------------------------------- > > To disseminate new advances in data science, SIMBig 2034 offers a conference registration fee of 30 USD, which includes access to the conference, materials, and publication of the proceedings for the authors. Submit your articles HERE <https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FSIMBIG2024>. > > > TOPICS OF INTEREST > ---------------------------------- > > SIMBig 2024 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Data Science > Machine Learning > Deep Learning > Natural Language Processing > Big/Masive Data > Semantic Web > Data-driven Software Engineering > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > > SPECIAL TRACKS > ---------------------------------- > > SIMBig 2024 proposes a special track in addition to the main conference: > > DISE <https://simbig.org/SIMBig2024/call-for-paper/track-on-data-driven-software-…> - Data-Driven Software Engineering > EE-AI-HPC <https://www.cri.ensmp.fr/conf/ee-ai-hpc2024/> - Efficieny Enhencement for Artificial Intelligence and High-Performance Computing > > CONTACT > ---------------------------------- > > SIMBig 2024 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Léonard de Vinci Pôle Universitaire Research Center, Paris, France (hugo.alatrista_salas(a)devinci.fr <mailto:halatrista@pucp.pe>)

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[JOB] Open Post-Doc Position in Barcelona (BSC): Data science and AI expert for Clinical NLP and LMs
by Martin Krallinger 02 Sep '24

02 Sep '24

Dear All, The NLP4BIA group at the Barcelona Supercomputing Center (BSC) is looking for a post-doctoral researcher with expertise in data science, NLP and LMs. *URL application*: https://www.bsc.es/join-us/job-opportunities/54824lsnlpr3 The position description is below. Please let me know if you or others you know are interested. Best wishes, Martin Krallinger ======================================= Martin Krallinger, Dr. Head of NLP for Biomedical Information Analysis Unit Barcelona Supercomputing Center (BSC-CNS) https://www.linkedin.com/in/martin-krallinger-85495920/ ======================================= *About BSC* The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. *Context And Mission* The Natural Language Processing for Biomedical Information Analysis (NLP4BIA) group at BSC is an internationally renowned research group working on the development of NLP, language technology, and text-mining solutions applied primarily to biomedical and clinical data. It is a highly interdisciplinary team, funded through competitive European and National projects requiring the implementation of natural language processing and advanced AI solutions making use of diverse technologies, including Transformers and recent advances in Large Language Models (LLM) to improve healthcare data analysis. The NLP4BIA-BSC is looking for a *Postdoctoral Research Engineer with experience in Language Technologies and Deep Learning*. The candidate will be involved in technical work related to international projects, being part of a team of researchers working on topics related to multilingual information extraction in the clinical field, including Named-Entity Recognition, Entity Linking and Language Modeling. The candidate will have the opportunity to advance the state of the art of cross-lingual biomedical NLP methods by working in a multidisciplinary environment alongside linguists, medical experts, and other engineers. The funding for these actions/fellowships and contracts comes from the European Union Recovery and Resilience Facility - Next Generation, within the framework of the General Invitation by the public business entity Red.es to participate in the talent attraction and retention programs within Investment 4 of Component 19 of the Recovery, Transformation, and Resilience Plan. For more information, please check: https://www.bsc.es/join-us/excellence-career-opportunities/ai4s *Key Duties* - Generation of Large Language Models - NLP system development: Development of monolingual and multilingual content classification and entity recognition systems - Pre-training of monolingual and multilingual language models for biomedicine - Managing projects and technical project coordination - Collaborate in drafting technical research proposals and writing scientific papers. *Requirements* - Education - University degree in Computer Science, Computational Linguistics, or other engineering / science degree. - PhD in Computer Science, Computational Linguistics, or similar - Essential Knowledge and Professional Experience - Experience in Natural Language Processing technologies, preferable with some publication track record or projects in the field of LLMs/Deep Learning/NLP - Ability to design, implement, and evaluate existing NLP and LMs models. - Experience in developing models using transformer architectures. - Practical experience with deep learning libraries (e.g. Pytorch, TensorFlow, Spacy, Transformers…) - Knowledge of deep learning methods for fine-tuning large language models. - Advanced programming skills in Python. - Experience in software development resources (Git) - Additional Knowledge and Professional Experience - Fluency in English is essential. Proficiency in Spanish and other European languages would be advantageous. - Competences - Ability to work in a team and in a multi-cultural environment. - Good communication and presentation skills. - Technical writing skills. - A proactive mindset, with creativity to design new solutions. - Ability to work effectively both autonomously and as part of an interdisciplinary team. - Comfortable working under pressure and meeting strict deadlines. Proactive working style. *Conditions* - The position will be located at BSC within the Life Sciences Department - We offer a full-time contract (37.5h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance - Duration: 4 years - Holidays: 23 paid vacation days plus 24th and 31st of December per our collective agreement - Salary: 55.000,00 € - Additional Expenses Grant: Each fellowship will be associated with a grant for additional expenses, such as IT equipment, travel, training, stays, etc. - Starting date: asap - the incorporation for this vacancy must be before the 16th of December 2024

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