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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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IWSLT 2025 - Call for Task Proposals
by Atul K. Ojha 02 Sep '24

02 Sep '24

Dear all, The International Conference on Spoken Language Translation (IWSLT) is the premier annual conference for all aspects of Spoken Language Translation. Every year, the conference organizes and sponsors open evaluation campaigns around key challenges in simultaneous and consecutive translation, under real-time/low latency or offline conditions, and for a variety of languages in under-resourced or multilingual conditions. System descriptions and results from participants’ systems and scientific papers related to key algorithmic advances and best practices are presented. IWSLT is the venue of the SIGSLT, the Special Interest Group on Spoken Language Translation of ACL, ISCA, and ELRA. With a track record of 20+ years, IWSLT benchmarks and proceedings serve as a reference for all researchers and practitioners working on speech translation and related fields. There are many challenges in speech translation that have not yet been addressed, among them, we are really interested in topics related to new applications scenarios (e.g. meetings, subtitling, dubbing), specific aspects (e.g. names, accents), different styles, multilingually, discourse and summarization, multimodal and multi-party speech translation, automatic evaluation metrics for speech translation. or many other ideas that researchers have not yet focused on. Therefore, we invite proposals for *shared tasks*. If you want to propose a new task to encourage researchers around the world to work on particular timely challenges in SLT, please fill out the following form <https://iwslt.org/assets/pdfs/IWSLT2025-Call_for_Tasks.pdf> and send it to *iwslt-organizers(a)googlegroups.com <iwslt-organizers(a)googlegroups.com> *by* September 30th, 2024. *Decisions about which tasks will run in 2025 will be announced by November 1st, 2024. For further information on this initiative, please refer to *https://iwslt.org/assets/pdfs/IWSLT2025-Call_for_Tasks.pdf <https://iwslt.org/assets/pdfs/IWSLT2025-Call_for_Tasks.pdf>.* Best, Marine, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul IWSLT Organisers

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Job offer: Position as research assistant in the DFG project "Semiautomated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services" at Goethe University Frankfurt - Application deadline: 20.09.2024
by Giuseppe Abrami 02 Sep '24

02 Sep '24

***Apologies for cross-postings*** At the Institute of Computer Science (Prof. Dr. Alexander Mehler, TTLab, https://www.texttechnologylab.org/), Department of Computer Science and Mathematics at Goethe University Frankfurt, a PhD position for a *Research Assistant (m/f/d) (E 13 TV-G-U) * is available at the next possible date for a period of three years within the project Semiautomated Thematic Text Classification as a Basis for Corpus Linguistic Value-Added Services. The project is funded by the German Research Foundation (DFG). The salary group classification is based on the job characteristics determined by the collective labour agreement in effect for the Goethe University (TV-G-U). The aim of the project is to develop a deep learning-based topic classification system using the Wikipedia category system and data from the Wikidata project, and to develop and test topic models based on this classification system for the automatic classification of texts, including those from the Leibniz Institute for the German Language (IDS) in Mannheim. The project will be carried out in cooperation with the IDS and the Saxon Academy of Sciences in Leipzig. The research will focus on state-of-the-art AI methods, in particular generative AI methods. The applicant is expected to engage in the project and actively participate in courses, workshops, and events of the project. We are looking for a highly qualified individual with a strong interest in research methods in the fields of AI and topic modeling as well as in the team-oriented development and application of innovative, research-oriented methods in the field of text modeling. With the Text-Technology Lab, in which the position will be embedded, we offer a research-oriented, internationally focused working environment in the fields of computational humanities, multimodal computing, machine learning and artificial intelligence. This includes funding for conference attendance and individual career development. Requirements: • Completed academic degree (Master's or equivalent) in computer science, computational humanities, computational linguistics or a field related to text modelling and AI. • Experience in the development and testing of NLP or AI methods. • Extensive programming knowledge in Java, Python or similar. • An interest in issues relating to information science is desirable but not essential. Please send your application with the usual documents (cover letter, CV, copies of certificates) electronically in a summarized PDF document by 20.09.2024 to Prof. Dr. Alexander Mehler: mehler(a)em.uni-frankfurt.de. -- ------------------------------------------------------------------------ Giuseppe Abrami Text-Technology Lab Fakultät für Informatik und Mathematik Goethe-Universität Frankfurt Robert-Mayer-Strasse 10 4. Stock (Texttechnologie) 60325 Frankfurt am Main Postfach: 154 Tel: +49 69-798-28926 Fax: +49 69-798-28931 Mail: abrami(a)em.uni-frankfurt.de Web: http://www.texttechnologylab.org

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PhD position in Computational Dialogue Modeling @ Bielefeld University, Germany
by Hendrik Buschmeier 02 Sep '24

02 Sep '24

Full PhD position in Computational Dialogue Modeling @ Bielefeld University, Germany Collaborative Research Center 1646 „Linguistic Creativity in Communication“ - Project B02: Computational linguistic creativity in reference games between interactive dialogue agents - PIs: Prof. Dr. Hendrik Buschmeier, Prof. Dr. Sina Zarrieß Explore how dialogue agents can develop creative strategies to solve tasks in interaction. - Collect+analyze data from humans playing reference games. - Develop state-of-the-art computational models combining neural and symbolic reasoning. - Contribute to groundbreaking research on human-machine co-creativity. More information and application link: https://uni-bielefeld.hr4you.org/job/view/3653/research-position?page_lang=… -- Hendrik Buschmeier Digital Linguistics Lab Faculty of Linguistics and Literary Studies, Bielefeld University https://purl.org/net/hbuschme -- Hendrik Buschmeier Digital Linguistics Lab Faculty of Linguistics and Literary Studies, Bielefeld University https://purl.org/net/hbuschme

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Deadline Extension: Swedish Language Technology Conference (SLTC) 2024
by Jenny Kunz 02 Sep '24

02 Sep '24

The submission deadline to SLTC 2024 has been extended to **Sunday, September 15th**. For more information about the conference, see our website: https://sltc2024.github.io<https://sltc2024.github.io/> ## Updated call for papers: Welcome to the Tenth Swedish Language Technology Conference (SLTC), to be held in Linköping 27–29 November 2024. ### Submissions We invite submissions on all theoretical, practical, and applied aspects of language technology, including natural language processing, computational linguistics, speech technology, and neighbouring areas. Submissions can report on completed or ongoing research and practical applications of language technology and may be combined with system demonstrations. The conference does not publish proceedings (“non-archival”), but authors can opt to make their accepted contributions available on the conference webpage. Hence, it is possible to submit abstracts related to work that has been or will be published elsewhere as long as this is compatible with the conditions of the respective publication channels. ### Important Dates * Submission deadline: Sunday, 15 September * Notification of acceptance: Monday, 14 October * Camera-ready version: Friday, 1 November * Main conference: Wednesday–Thursday, 27–28 November * Workshops: Friday, 29 November ### Submission formats Submissions are extended abstracts using the style files of the *ACL conferences. They can, but do not need to be anonymous. Abstracts should be up to four pages, excluding references, and be submitted via OpenReview no later than Sunday, 15 September. Please see the conference webpage for more details: https://sltc2024.github.io/cfp. ### Organisers SLTC 2024 is organised by Linköping University. The organisation committee is chaired by: * Lars Ahrenberg * Arne Jönsson * Marco Kuhlmann * Jenny Kunz

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[CFP]: Call for Doctoral Consortium Papers : FIRE 2024
by Bhargav Dave 02 Sep '24

02 Sep '24

Apologies for the multiple postings. ------------------------------------- Call for Doctoral Consortium Papers FIRE 2024: 16th meeting of the Forum for Information Retrieval Evaluation 12th - 15th December 2024 DA-IICT, Gandhinagar, India Submission Deadline: 20th September 2024 Submission Link : https://cmt3.research.microsoft.com/FIRE202 <https://cmt3.research.microsoft.com/FIRE2023>4 ---------------------------------------------------------------------------------------------- The 16th meeting of the Forum for Information Retrieval Evaluation (FIRE) 2024 will be held at DA-IICT, India. It will be an in-person conference. FIRE brings in the Doctoral Consortium (DC) to provide a unique opportunity for doctoral students to share their work with peers as well as with senior researchers and also further shape their research and develop new ones under an extended mentorship program under the guidance of distinguished researchers from both academia and industry. The goals of the symposium are to: - provide the participants with an independent and constructive assessment of their current research and possible future research scopes; - develop a supportive community of scholars and a spirit of collaborative research; - provide a platform for the doctoral participants to share and discuss their ideas with distinguished researchers from their domain; and support the participants further with an individual mentorship session with a distinguished researcher. Who should participate? Students should consider participating in the Doctoral Consortium if they are at least twelve months away from completing their dissertation at the time of the event, but after having settled on a research area or thesis topic. In the area of research which largely covers AI / ML, and information science-related, we do not have any fixed set of research areas for the DC. However, it would be desirable to have information retrieval as a paradigm in your research that can be in any domain like software engineering, machine translation and image processing, etc. Submission Submissions can be based on early ideas or results (communicated elsewhere) for further feedback, or well-rounded study, results, and analysis, on approach to convert PhD work into a product, and the like. The paper should be 4 pages long (including references) and may contain the following aspects: - the problem to be solved in the research; a justification of why the problem is important; a summary of the previous research and related work has not yet solved that problem, - the expected contributions of the research, - how the student aims to evaluate and analyze the results; acceptable evidence of the results to the community, - an outline and characterization of the results achieved so far, and - the planned timeline for completion. Students, whose submissions are accepted, will be invited to present a poster at the consortium. They will also need to give a short talk at the consortium. Paper submission link: https://cmt3.research.microsoft.com/FIRE202 <https://cmt3.research.microsoft.com/FIRE2023>4 Format The submitted papers must follow follow LNCS (Springer conference) template available on https://www.overleaf.com/project/66c745b6dd0f2aa8880bff51. 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: Paper Length: 4 page single column The author names and affiliations of the PhD Student or supervisors should be included in the paper during submission. The first author of the paper should be the PhD Student. Review Process Submissions will be reviewed by members of the Doctoral Symposium Committee. Participants will be selected on the basis of their anticipated contribution to the Doctoral Consortium goals as well as the potential benefit to the participants. Among the criteria that will be considered in reviewing submissions are: - the potential quality of the anticipated contributions - the stage of the research; - the diversity of backgrounds, research topics, and approaches. An additional review would be done to assess if the participants are eligible for the PhD clinic, where potential research work can be reviewed and discussed individually by a distinguished researcher. Consortium and PhD Clinic Authors of submissions selected for participation will have the opportunity to present their work during the Doctoral Consortium and to have a camera-ready version of their papers published in a companion volume to the FIRE 2024 Conference Proceedings. The presentation is expected to be delivered in person, unless this is impossible due to travel limitations (related to, e.g., health, visa, or COVID-19 prevention). Selected participants will be also be eligible for the PhD clinic wherein they will be assigned to a distinguished researcher who will conduct an individual mentoring session with the participants. This session can be constructively used by the participants to discuss their ideas, get more insights and feedback and also directions for future work. Important dates 25th July 2024 Paper submission link available 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). Presentation Requirements If accepted, at least one author will have to register for the conference and present in person. Consortium Co-ordinators - Soumen Paul - Srijoni Majumdar For queries related to the conference please email us at [ clia(a)isical.ac.in ] For the latest updates subscribe to the FIRE Mailing List [ https://groups.google.com/forum/#!forum/fire-list ]

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