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***Graduate Student Position in Natural Language Processing***
by Maede Ashofteh Barabadi 06 Feb '24

06 Feb '24

Fully funded PhD and Master’s positions in Natural Language Processing and Machine Learning are available at the Text Analytics and Machine Learning Group (TAML), led by Dr. Xiaodan Zhu (www.xiaodanzhu.com), at the Department of Electrical and Computer Engineering at Queen’s University, Canada. The student will also be affiliated with the Ingenuity Labs Research Institute at Queen’s University (https://ingenuitylabs.queensu.ca/). Starting date: Sep. 1, 2024 or Jan. 1, 2025 Contact: xiaodan.zhu(a)queensu.ca Webpage: www.xiaodanzhu.com Application: https://smithengineering.queensu.ca/ece/graduate/index.html Deadline for application: March. 31st, 2024 (We have started to review the applications and it is highly recommended that you submit your applications at your earliest convenience.) Our students come from top universities across the globe and in Canada. Our graduates work at top research and industrial organizations and companies in Canada and the U.S. We aim to create a diverse and inclusive learning and research environment. About Queen’s University: Queen’s University (https://www.queensu.ca/) has over 180 years of history and is one of Canada’s oldest universities. It is a public research university famous for many subjects such as engineering, science, and business. As of 2023, five Nobel Laureates and one Turing Award winners have been affiliated with the university. Queen’s University’s campus is located by the Ontario Lake and is one of the most beautiful campuses in Canada. Queen’s University is located in Kingston, a tourist hotspot, and is situated between several big cities in Canada: Toronto, Montreal, and Ottawa, which are centers for artificial intelligence research and dynamic cities to live and visit.

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CAiSE'24 Ph.D. Award: Last Call for Applications
by Announce 06 Feb '24

06 Feb '24

*** Ph.D. Award: Last Call for Applications *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: 1st March, 2024 AoE ***) The deadline to apply for the CAiSE 2024 PhD Award is March 1st 2024. The conditions to apply are: • having participated as an author in a previous CAiSE Doctoral Consortium or at a main CAiSE Event: either the main conference, the CAiSE Forum, EMMSAD, or BPMDS; • having successfully defended the PhD thesis in the last two years (i.e., since January 2022). The application must be submitted electronically to the PhD Awards track of CAiSE 2024 via EasyChair <https://easychair.org/conferences/?conf=caise2024> . The application must be a single PDF file containing: • a short cover letter that includes the list of PhD committee members, • a support letter from the thesis advisor, • the candidate's defended PhD thesis, • the candidate’s CV. ABOUT THE PHD AWARD The CAiSE PhD Award 2024 is granted annually to an outstanding recent PhD thesis in the field of Information Systems Engineering. The award is co-sponsored by the CAiSE Steering Committee and Springer. It consists of a certificate, free full registration (5 days) to the next two editions of the CAiSE conference, and a book voucher for a free selection worth EUR 500 from Springer’s printed books collection. In addition, the selected thesis will be recommended for publication as a monograph in the LNBIP series published by Springer, provided that Springer’s publication conditions are met. The PhD theses submitted for the award will be reviewed by a standing committee of senior members selected from the CAiSE Advisory Committee, the CAiSE Steering Committee, and the CAiSE Program Committee. AWARD CHAIR Professor Andreas L Opdahl, University of Bergen, Norway IMPORTANT DATES • Submission of application: 1st March, 2024 (AoE) • Notification: 15th April, 2024 PAST RECIPIENTS • 2023: Anna Bernasconi, PhD from Politecninco Milano (Italy), thesis title “Model, Integrate, Search... Repeat: a Sound Approach to Building Integrated Repositories of Genomic Data” (link to the forthcoming monograph: https://link.springer.com/book/9783031449062) • 2022: Volodymyr Leno, PhD from University of Melbourne (Australia), thesis title “Robotic Process Mining: Accelerating the adoption of Robotic Process Automation” (link to the thesis: https://minerva-access.unimelb.edu.au/bitstream/handle/ 11343/297274/98f9efca-4dd2-eb11-94dc-0050568d0279_manuscript.pdf) • 2021: Orlenys Lopez Pintado, PhD from University of Tartu (Estonia), thesis title “Collaborative Business Process Execution on the Block Chain: the Caterpillar System” (link to the thesis: https://dspace.ut.ee/items/1e09072c-5442-463a-b8c6-0425951cb90b) • 2020: Steven Mertens, PhD from Ghent University (Belgium), thesis title “Enabling process management for loosely framed knowledge-intensive processes” (link to the published monograph: https://www.springer.com/gp/book/9783030661922) • 2019: Giovanni Meroni, PhD from Politecnico di Milano (Italy), thesis title “Artifact-driven business process monitoring” (link to the published monograph: https://www.springer.com/gp/book/9783030324117) • 2018: Wei Wang, PhD from University of Queensland (Australia) thesis title “Integrated Modeling of Business Processes and Business Rules” (link to the published monograph: https://www.springer.com/gp/book/9783030118082) • 2017: Marcela Ruiz, PhD from the Universidad Politécnica de Valencia (Spain), thesis title “TraceME: A Traceability-Based Method for Conceptual Model Evolution” (link to the published monograph: https://www.springer.com/gp/book/9783319897158) • 2016: Le Minh Sang Tran, PhD from University of Trento (Italy), thesis title “Managing the Uncertainty of the Evolution of Requirements Models” (testimony of the 2016 CAiSE PhD Award winner: https://www.youtube.com/watch?v=q-vvlH66lC4)

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Postdoc positions available at Université de Lorraine - NLP and Humanities
by Maxime Amblard 06 Feb '24

06 Feb '24

Postdoc positions available at Université de Lorraine Lorraine Université d’Excellence (LUE) is an initiative carried by Université de Lorraine, in association with CNRS, Inria, Inserm, INRAE, the Nancy campus of AgroParisTech, and Georgia-Tech Europe, and funded by the France 2030 program of investments for the future. LUE’s ambition over the next 10 years is to assert itself as a major world-class research university, with a core positioning in systemic engineering for a healthy planet. To achieve this ambition, a major lever is to develop a sustainable interdisciplinary momentum that will enable the academic site to position itself on major societal and socio-economic challenges, both in research and in education. For that purpose, we will fund a few major interdisciplinary programs and projects; they will propose global directions to answer the following six major challenges: • The evolution of materials issues in the 21st century (from resource issues to those related to the circular economy, via metallurgy and new materials) • The ecological transition (One Earth) • The energy transition • The digital transition of industry and society • The global challenges of health in the 21st century, including the "One Health" systemic approach • Transitions in society At this moment, a number of major interdisciplinary programs are currently emerging, led by groups of scientists from the Lorraine site, as well as smaller and more narrowly targeted projects, known as "IMPACT projects ». This call plans to recruit up to 10 international post-docs who can contribute to one 12 open tracks. One of the emerging topics in the broadest sense concerns NLP and the Humanities. This includes the analysis of political activity, the evolution of law, the ethical aspects of NLP and AI, language learning, and the analysis of literary texts from the Bible to contemporary literature, sociological analysis, health care. Research based on natural language corpora is encouraged. The post-doctoral position should be for 24 to 30 months, and should bring a new and original momentum to the site, complementing existing strengths and enriching one of the existing emerging projects with highly original and exciting research objectives. The aim of this call is to welcome young researchers who can contribute to one or other of the above projects in an original, and even unexpected, way in relation to the current mapping of skills present on the Lorraine site. There is therefore no predefinition of the host project, nor have the host projects predefined the topics on which they would be willing to host a postdoc. The selection panel will take the following factors into account: • Scientific excellence of the applicant • Originality and relevance of the proposed scientific project • Contribution of the proposed project to one or several of the existing or emerging projects. • Compatibility of the candidate and his/her project with the site's research structures – in balance with the previous point, we still wish to recruit post-docs who fit naturally into an adequate research environment. Candidates are not, however, asked to pre-identify one single host research structure, although they are not forbidden to mention any links or knowledge they may have of the site's research groups. Salary : from 2 271€ to 2 900€ (Gross) / month Successful candidates will be granted operating credits in addition to their salary. They may also be offered the opportunity to contribute to educational modules linked to the interdisciplinary topic to which they are contributing. Application Applications should be submitted to https://enquetes.univ-lorraine.fr/index.php/573736?lang=en and should include the following information: • CV with list of publications and description of involvement in research projects • Proposed scientific project for the stay at Université de Lorraine • When appropriate (not a prerequisite): existing contacts and collaborations with Université de Lorraine researchers • Persons who can be contacted for additional information / recommendation letters contact person: Pr Maxime Amblard, Loria and IDMC maxime.amblard(a)univ-lorraine.fr please start the object of your mail with [LUE-postdoc] ---------------------- Maxime Amblard Université de Lorraine https://members.loria.fr/mamblard http://espoir-ul.fr

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Call for papers: 3rd Conference on Digital Data and Human Sciences (DRDHum 2024)
by Michael Pace-Sigge 06 Feb '24

06 Feb '24

Dear colleagues, I hope you find this of interest and I hope you can pass it on to your colleagues and students. 1st Call for Papers. 3rd Conference on Digital Data and Human Sciences (DRDHum 2024): Digital Research Data and Human Sciences in the Age of A.I. University of Eastern Finland, Joensuu campus, December 10 ̶ 12, 2024 https://sites.uef.fi/drd-hum-2024/ Today, there are many ways in which the human and social sciences use digital tools to investigate different aspects of human life and society. As the significance and use of digital resources continually expands into new fields of study, there are some disciplines which have already been working with digital methods for decades. This conference aims to present an overview of the current state of research in fields such as archival studies, cultural studies, history, linguistics, literature, performing and visual arts, philosophy where novel approaches are being made available through digital tools. The 2024 conference focusses on novel and innovative approaches to make use of digital applications, in particular in the light of the advent of machine learning and A.I. solutions. The Digital Research Data and Human Sciences (DRDHum 2024) conference aims to bring together researchers who have different areas of interest and expertise to discuss the themes of data compilation and management, and to share their knowledge and experience. We encourage contributions from researchers and research groups who have implemented interdisciplinary research to participate in the event. DRDHum 2024 is organized by the University of Eastern Finland. The first (D)RDHum Conference was hosted at the University of Oulu in 2019, where the focus was specifically on linguistic text corpora. The second conference, 2022 at the University of Jyväskylä was more expansive, looking at digital resources and technologies within the humanities and include multi-modal approaches. Submissions of individual papers, posters, and workshops are welcome but not limited to: Humanities and social research in the fields of e.g. o digital cultural, gender and ethnic studies o digital discourse analysis o digital history o digital literary studies o data-rich literary history o digital solutions in logopedics o digital media studies o digital pedagogies o spatial humanities o spoken and written linguistics Theoretical and methodological aspects of digital humanities and social studies, e.g. o computational and machine-learning systems o corpus-assisted and other corpus analyses o digital discourse analyses o Geographic Information Systems (GIS) o literary cartography o tools for digital data analysis Plenary speakers Professor Katherine Bode, Professor, Australian National University https://researchers.anu.edu.au/researchers/bode-k ARC Future Fellow, ANU College of Arts and Social Sciences Professor Anna Foka, Uppsala University, Sweden https://www.katalog.uu.se/profile/?id=N18-926 Professor at Department of ALM Professor Michaela Mahlberg, University of Birmingham, UK https://www.birmingham.ac.uk/staff/profiles/elal/mahlberg-michaela.aspx Department of English Language and Linguistics Chair in Corpus Linguistics Professor Tony McEnery, University of Lancaster, UK https://www.lancaster.ac.uk<https://www.lancaster.ac.uk/> Distinguished Professor Submission guidelines Authors are invited to submit an abstract for theoretical or empirical work of 250-400 words (excluding references), which should indicate the research questions, data and methods used, and give a brief indication of the results. Besides oral and poster presentations, the conference will be happy to be the venue for select thematic workshops. Workshops will address a particular topic within the general theme of the conference. The chair/s of the workshop will be required submit an abstract, maximum 500 words (excluding references) introducing the proposed topic, the aim of the event and the expected audience. These workshops must include a practical part, it is therefore essential that the maximum number of participants (and any particular requirements) is given in the proposal. These workshops must be, furthermore, open to conference participants only. A list of those workshops and tutorials which have been accepted will then be announced on the conference website. After this, submissions to the workshops or tutorials themselves can then be made, following further instructions that will have been given by the organizers. We therefore invite the following types of submissions: 1. Abstract for an oral presentation (20 min + 10 min for discussion) 2. Proposal for a workshop (2 hours in length) 3. Abstract for a poster presentation (A0) Please access the submission forms at: https://openreview.net/group?id=uef.fi/University_of_Eastern_Finland/DRDHum… (Please note that you will need to request an OpenReview registration if you do not already have one. We have been advised that this process might take up to two weeks.) Important dates * Submission of oral presentations and posters: opens 07.02.2024 * Submission of oral presentations and posters: closes 15.3.2024 * Acceptance of abstracts: 01.05.2024 * Conference: 10.–12.12.2024 We aim to organise the event on-site and in-person in Joensuu and plan to make the plenaries available online. For more information, please send inquiries to: drdhum2024(a)uef.fi<mailto:drdhum2024@uef.fi> On behalf of the organising committee- Dr Michael Pace-Sigge (he/him/his) School of Humanities Dept. of English Language and Culture University of Eastern Finland Room 155 Agora Tel.+ 358 (0) 504423473 P.O. Box 111 FI-80101 Joensuu Finland https://orcid.org/0000-0002-5164-5242

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Fully-funded PhD in Generative AI and Creativity (University of Sydney/CSIRO)
by Wan, Stephen (Data61, Eveleigh) 06 Feb '24

06 Feb '24

Are you interested in a fully-funded PhD in Generative AI and Creativity? The University of Sydney’s Designing with AI Lab and CSIRO’s Collaborative Intelligence program have teamed up to explore the future of creativity and ideation in science. Can AI help scientists have ideas? Can it help formulate hypotheses or help inspire discoveries? This scholarship provides a stipend of $38,500 AUD/yr for up to 3.5 years for a full-time enrolled student, along with a tuition fee waiver if the applicant is an International student whose enrollment requires a fee to be paid. The applicant will also be able to work with a community of researchers in design, computational creativity, machine learning across both the CSIRO and the University of Sydney. This offer is open to those with prior research experience (in an eligible Masters or Honours program), either Australian or International. Successful applicants will have experience with AI and an interest in science and creativity. Applicants could come from any discipline — computing, science, psychology, design, engineering, business, or anywhere further afield. Applicant would ideally have experience in, or familiarity with concepts from, computational linguistics, machine learning/AI, and natural language processing. Apply <https://forms.gle/dAEZWxrLymo65y436> here<https://forms.gle/dAEZWxrLymo65y436> before 11:59pm February 22nd.<https://forms.gle/dAEZWxrLymo65y436> Contact Kaz Grace at kazjon.grace(a)sydney.edu.au<mailto:kazjon.grace@sydney.edu.au> with any questions. After selection, we will help the applicant through the application and enrollment process for commencing a PhD at the University of Sydney. Please note that the selected applicant will be offered the scholarship only once they have successfully enrolled in a PhD program at the University of Sydney. If, for any reason, the applicant is unable to commence a PhD, they will not be eligible for this scholarship.

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CFP: Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP 2024)
by Georg Rehm 06 Feb '24

06 Feb '24

1st Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP 2024) 26 or 27 May 2024 (tbc) Hersonissos, Crete, Greece (co-located with ESWC 2024) https://nfdi4ds.github.io/nslp2024/ <https://nfdi4ds.github.io/nslp2024/> Scientific research is almost exclusively published in unstructured text formats, which are not readily machine-readable. While technological approaches can help to get this flood of scientific information and new knowledge under control, the development of such technologies is very complex in practice and hinders the creation of infrastructures and systems to track research and assist the scientific community with applications such as dedicated scientific search engines and recommender systems. The 1st Workshop on Natural Scientific Language Processing and Research Knowledge Graphs (NSLP) aims to bring together researchers working on the processing, analysis, transformation and making-use-of scientific language and RKGs including all relevant sub-topics. NSLP 2024 is a full-day workshop co-located with ESWC 2024 <https://2024.eswc-conferences.org/> to be held in Crete, Greece, in May 2024. The workshop will consist of two keynote speakers and two shared tasks (FoRC: Field of Research Classification of Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/forc_shared_task.html>, SOMD: Software Mention Detection in Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html>), as well as presentations and posters of accepted papers. Topics of interest include, but are not limited to Research/Scientific Knowledge Graphs (RKGs/SKGs) and other forms of Structured Scientific Knowledge Representation Information Extraction for Research/Scientific Knowledge Graphs Question Answering over Research/Scientific Knowledge Graphs Scientific LLMs: LLMs for Natural Scientific Language Processing Natural Scientific Language Processing (monolingual, cross-lingual, multilingual) Language Resources and Language Technologies for Natural Scientific Language Processing Information Extraction from Scholarly Publications Classification of Scholarly Publications (document collections, individual documents, parts of documents) Summarisation of Scholarly Articles Scholarly Information Retrieval and Scientific Search Engines Digital Libraries of Scholarly Information Metadata and Cataloging Bibliometrics and Scientometrics Domain-specific Adaptation of Natural Language Processing (NLP) methods for NSLP purposes Micropublications and Nanopublications Important dates Deadline for submissions: March 7, 2024 Notification of acceptance: April 4, 2024 Deadline for camera-ready papers: April 18, 2024 Submissions The workshop invites anonymous submissions of regular long papers (up to 15 pages), position papers, and short papers (up to 8 pages) presenting negative results, in-progress projects, and demos. Papers can present negative results, in-progress projects, and demos. We especially encourage submissions from junior researchers and students from diverse backgrounds. Format of submissions: Springer LNCS style (full submission guidelines <https://nfdi4ds.github.io/nslp2024/docs/submission.html>). Submissions are done via easyChair: https://easychair.org/conferences/?conf=nslp2024 <https://easychair.org/conferences/?conf=nslp2024> The workshop proceedings will be published in the Springer series Lecture Notes in Artificial Intelligence (LNAI) as an Open Access book. Shared tasks The workshop offers two shared tasks: FoRC: Field of Research Classification of Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/forc_shared_task.html> (two sub-tasks) SOMD: Software Mention Detection in Scholarly Publications <https://nfdi4ds.github.io/nslp2024/docs/somd_shared_task.html> (three sub-tasks) Confirmed keynote speakers Natalia Manola, OpenAIRE, Greece Francesco Osborne, Open University, UK Organisers Georg Rehm, DFKI, Germany Sonja Schimmler, TU Berlin & Fraunhofer FOKUS, Germany Stefan Dietze, GESIS & HHU Düsseldorf, Germany Frank Krüger, Wismar University, Germany Contact Georg Rehm <georg.rehm(a)dfki.de <mailto:georg.rehm@dfki.de>> – NSLP 2024 website <https://nfdi4ds.github.io/nslp2024/> -- Prof. Dr. Georg Rehm <http://georg-re.hm/> Principal Researcher and Research Fellow, DFKI Adjunct Professor, Humboldt-Universität zu Berlin DFKI GmbH <https://www.dfki.de/>, Alt-Moabit 91c, 10559 Berlin, Germany Phone: +49 30 23895-1833 – Fax: -1810 georg.rehm(a)dfki.de Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Firmensitz: Trippstadter Strasse 122, D-67663 Kaiserslautern Geschäftsführung: Prof. Dr. Antonio Krüger (Vorsitzender), Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313

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First Calll for Papers (Fifth Workshop on Gender Bias in NLP) + announcing the shared task
by Agnieszka Falenska 06 Feb '24

06 Feb '24

Workshop on "Gender Bias in Natural Language Processing", August 16, Thailand ACL First Call for papers and announcing the shared task. http://genderbiasnlp.talp.cat <http://genderbiasnlp.talp.cat/> Gender bias, among other demographic biases (e.g. race, nationality, religion), in machine-learned models is of increasing interest to the scientific community and industry. Models of natural language are highly affected by such biases, which are present in widely used products and can lead to poor user experiences. There is a growing body of research into improved representations of gender in NLP models. Key example approaches are to build and use balanced training and evaluation datasets (e.g. Webster et al., 2018), and to change the learning algorithms themselves (e.g. Bolukbasi et al., 2016). While these approaches show promising results, there is more to do to solve identified and future bias issues. In order to make progress as a field, we need to create widespread awareness of bias and a consensus on how to work against it, for instance by developing standard tasks and metrics. Our workshop provides a forum to achieve this goal. Topics of interest We invite submissions of technical work exploring the detection, measurement, and mediation of gender bias in NLP models and applications. Other important topics are the creation of datasets, identifying and assessing relevant biases or focusing on fairness in NLP systems. Finally, the workshop is also open to non-technical work addressing sociological perspectives, and we strongly encourage critical reflections on the sources and implications of bias throughout all types of work. In addition this year we are organising a Shared Task on Gender Bias Machine Translation evaluation (see details below) Paper Submission Information Submissions will be accepted as short papers (4-6 pages) and as long papers (8-10 pages), plus additional pages for references, following the ACL 2024 guidelines. Supplementary material can be added, but should not be central to the argument of the paper. Blind submission is required. Each paper should include a statement which explicitly defines (a) what system behaviors are considered as bias in the work and (b) why those behaviors are harmful, in what ways, and to whom (cf. Blodgett et al. (2020)). More information on this requirement, which was successfully introduced at GeBNLP 2020, can be found on the workshop website. We also encourage authors to engage with definitions of bias and other relevant concepts such as prejudice, harm, discrimination from outside NLP, especially from social sciences and normative ethics, in this statement and in their work in general. Non-archival option The authors have the option of submitting research as non-archival, meaning that the paper will not be published in the conference proceedings. We expect these submissions to describe the same quality of work and format as archival submissions. Important dates. Jan 15, 2024: First call of papers Feb 20, 2024: Second call of papers May 10, 2024: Workshop Paper Due Date June 5, 2024: Notification of Acceptance June 25, 2024: Camera-ready papers due August 16, 2024: Workshop Dates Keynote Speakers. Isabelle Augenstein, University of Copenhagen Hal Daumé III, University of Maryland and Microsoft Research NYC Organizers. Christine Basta, Alexandria University Marta R. Costa-jussà, FAIR, Meta, Agnieszka Falénska, University of Stuttgart Seraphina Goldfarb-Tarrant, Cohere Debora Nozza, Bocconi University Shared Task on Machine Translation Gender Bias Evaluation Motivation Demographic biases are relatively infrequent phenomena but present a very important problem. The development of datasets in this area has raised the interest in evaluating Natural Language Processing (NLP) models beyond standard quality terms. In Machine Translation (MT), gender bias is observed when translations show errors in linguistic gender determination despite the fact that there are sufficient gender clues in the source content for a system to infer the correct gendered forms. To illustrate this phenomenon, sentence (1) below does not contain enough linguistic clues for a translation system to decide which gendered form should be used when translating into a language where the word for doctor is gendered. Sentence (2), however, includes a gendered pronoun which most likely has the word doctor as its antecedent. Sentence (3) shows two variations of the exact sentence with the only variation of the gender inflection. 1. I didn’t feel well, so I made an appointment with my doctor. 2. My doctor is very attentive to her patients’ needs. 3. Mi amiga es una ama de casa / Mi amigo es un amo de casa. (in English, My (female/male) friend is a homemaker) Gender bias is observed when the system produces the wrong gendered form when translating sentence (2) into a language that uses distinct gendered forms for the word doctor. A single error in the translation of an utterance the like of sentence (1) would not be sufficient to conclude that gender bias exists in the model; doing so would take consistently observing one linguistic gender over another. Finally, a lack of robustness is shown in sentence (3) if the translation quality differs in the translation of sentences in (3). It has previously been hypothesized that one possible source of gender bias is gender representation imbalance in large training and evaluation data sets, e.g. [Costa-jussà et al., 2022; Qian et al., 2022] Goals The goals of the shared translation task are: To investigate the quality of MT systems on the particular case of gender preservation for tens of languages To examine and understand special gender challenges in translating in different language families. To investigate the performance of gender translation of low-resource, morphologically rich languages To open to the community the first challenge of this kind To generate up-to-date performance numbers in order to provide a basis of comparison in future research To investigate the usefulness of multilingual and language resources To encourage beginners and established research groups to participate and interchange discussions Shared Task Description We propose to evaluate the 3 cases of gender bias: gender-specific, gender robustness and unambiguous gender. Description Task 1: Gender-specific In the English-to-X translation direction, we evaluate the capacity of machine translation systems to generate gender-specific translations from English neutral inputs (e.g. I didn’t feel well, so I made an appointment with my doctor.) This can be illustrated by the fact that machine translation (MT) models systematically translate neutral source sentences into masculine or feminine depending on the stereotypical usage of the word (e.g. “homemakers” into “amas de casa”, which is the feminine form in Spanish and “doctors” into “médicos”, which is the masculine form in Spanish). Description Task 2: Gender Robustness In the X-to-English translation direction, we compare the robustness of the model when the source input only differs in gender (masculine or feminine), e.g. in Spanish: Mi amiga es una ama de casa / Mi amigo es un amo de casa. Description Task 3: Unambiguous Gender In the X-to-X translation direction, we evaluate the unambiguous gender translation across languages and without being English-centric, e.g, Spanish-to-Catalan: Mi amiga es una ama de casa is translated into La meva amiga és una mestressa de casa Submission details X Languages. In addition to English, our challenge covers 26 languages: Modern Standard Arabic, Belarusian, Bulgarian, Catalan, Czech, Danish, German, French, Italian, Lithuanian, Standard Latvian, Marathi, Dutch, Portuguese, Romanian, Russian, Slovak, Slovenian, Spanish, Swedish, Tamil, Thai, Ukrainian, Urdu Evaluation. The challenge will be evaluated using automatic metrics. Evaluation criteria will be in terms of overall translation quality and difference in performance for male and female sets. More details will be provided. Submission platform. We will use the Dynabench platform <https://dynabench.org/tasks/multilingual-holistic-bias> for all tasks. Important Dates. From Jan 2024, Fill in the interest form <https://docs.google.com/forms/d/e/1FAIpQLSdQQ4UynaoT70djAaGTUpLlIJyls3te2yf…> Mar 20, 2024: Model Submission April 1-15, 2024: Evaluation April 24, 2024: System paper submission deadline May 15, 2024: Notifications of the acceptance June 10, 2024: Camera-Ready version August 16, 2024: Workshop at ACL Citation Marta Costa-jussà, Pierre Andrews, Eric Smith, Prangthip Hansanti, Christophe Ropers, Elahe Kalbassi, Cynthia Gao, Daniel Licht, and Carleigh Wood. 2023. Multilingual Holistic Bias: Extending Descriptors and Patterns to Unveil Demographic Biases in Languages at Scale. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 14141–14156, Singapore. Association for Computational Linguistics.

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2nd Call for Shared Task, Workshop and Tutorial Proposals @ KONVENS 2024
by Wiegand, Michael 06 Feb '24

06 Feb '24

Call for Shared Task, Workshop and Tutorial Proposals @ KONVENS 2024 2ND CALL FOR SHARED TASK, WORKSHOP AND TUTORIAL PROPOSALS We cordially invite submissions of shared task, workshop and tutorial proposals as part of KONVENS 2024 (https://konvens-2024.univie.ac.at/), which takes place from September 9-13, 2024 at University of Vienna (Austria). KONVENS (Konferenz zur Verarbeitung natürlicher Sprache/Conference on Natural Language Processing) is an annual conference series on computational linguistics (biennial until 2018) that started in 1992 and that is organized under the auspices of the German Society for Computational Linguistics and Language Technology, the Special Interest Group on Computational Linguistics of the German Linguistic Society, the Austrian Society for Artificial Intelligence and SwissText. CALL FOR SHARED TASK PROPOSALS Shared tasks need to be in line with the GermEval campaign that focuses on NLP for the German language. See https://germeval.github.io/ for an overview of previous GermEval tasks. Proposals for shared tasks should contain: · a title and a brief description of the topic of the task and its potential impact on the NLP community and on society · a description of the datasets that will be used in the shared task and their readiness · a sketch of how the submitted systems will be evaluated In addition, proposals need to contain the filled out GermEval Questionnaire https://gscl.org/germeval, which aims to help with identifying potential ethical issues. Please submit your shared task proposal by email to konvens-2024(a)googlegroups.com<mailto:konvens-2024@googlegroups.com> no later than February 14, 2024. Notifications will be sent out by February 21, 2024. While fixing the exact timeline for the shared task is up to the task organizers, we propose the following tentative schedule: Trial data ready: March 14, 2024 Training data ready: April 14, 2024 Test data ready: May 18, 2024 Evaluation start: June 25, 2024 Evaluation end: June 13, 2024 Paper submission due: July 1, 2024 Camera ready due: July 20, 2024 KONVENS conference: September 9-13, 2024 CALL FOR WORKSHOP PROPOSALS Workshop proposals should contain: · a title and a brief description of the workshop topic · the desired workshop length (half-day or full-day) · the names and email addresses of the organizers, with one-paragraph statements of their research interests and areas of expertise · a list of potential members of the program committee, with an indication of which members have already agreed to serve Workshop proposals should be submitted by email to konvens-2024(a)googlegroups.com<mailto:konvens-2024@googlegroups.com> no later than February 14, 2024. Notifications will be sent out by February 21, 2024. Organizers of accepted proposals will be responsible for publicizing and running the workshop, including reviewing submissions and producing the camera-ready workshop proceedings. Organizers can opt to include their workshop proceedings as part of the KONVENS workshop proceedings which are intended for inclusion in the ACL Anthology. CALL FOR TUTORIAL PROPOSALS Tutorials are intended to either provide a comprehensive introduction to core techniques/areas of interest or address advanced topics relevant for the KONVENS community. We invite half-day tutorials on established or emerging research topics in these areas but we also welcome tutorials from related research fields or applications. Tutorials may be explicitly introductory, targeting experienced researchers or attracting a wide audience by addressing basic as well as advanced topics. Tutorial proposals should contain: · a title and abstract of the tutorial · a brief description of the tutorial content and its relevance to the KONVENS community · a brief outline of the tutorial structure showing that the tutorial's core content can be covered in half a day · the names and email addresses of the tutorial instructors, including one-paragraph statements of their research interests and areas of expertise · a list of previous venues and approximate audience sizes, if the same or a similar tutorial has been given elsewhere Tutorial proposals should be submitted by email to konvens-2024(a)googlegroups.com<mailto:tokonvens-2024@googlegroups.com> no later than February 14, 2024. Notifications will be sent out by February 21, 2024. Mit freundlichen Grüßen / Best regards the KONVENS-2024 organization team https://konvens-2024.univie.ac.at/

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ALL 4 Health: First Call for Papers
by David Tresner-Kirsch 05 Feb '24

05 Feb '24

Dear Colleagues, We invite you to submit your research and perspectives to ALL 4 Health 2024 – The First Workshop on Applying LLMs in LMICs for Healthcare Solutions. Submission Deadline: March 1st, 2024 Website: https://www.nivi.io/all4health Contact: all-4-health(a)googlegroups.com ALL 4 health will be held at the University of Florida on June 3rd in conjunction with the IEEE International Conference on Healthcare Informatics <https://ieeeichi2024.github.io/> (ICHI 2024 <https://ieeeichi2024.github.io/>). There has been substantial and growing interest and funding from the development sector in applying Large Language Model (LLM) technologies in Low- and Middle-Income Countries (LMICs) to address healthcare and other social good challenges.[1] Simultaneously, there have been acknowledgements from the software industry and from NLP researchers that state of the art LLMs are heavily influenced by Western / developed world data and have significant capability gaps between high- and low-resource languages.[2,3,4] Additional research and collaboration is required to bridge this gap. The goal of this workshop is to bring together researchers and practitioners from diverse disciplinary backgrounds to discuss challenges and opportunities for applying LLMs for health applications in low-resource settings, and to share findings on gaps, pitfalls, best practices, and opportunities for impact. We invite novel approaches, works in progress, comparative analyses of tools, and advancing state-of-the-art work relevant to applying LLMs for health applications in low-resource languages and settings. Specific topics of interest include, but are not limited to: * Evaluations of LLMs in contexts with substantial code-switching * Comparisons of LLM accuracy/suitability between high- and low-resource languages * Approaches to localizing the health information processing of LLMs in the context of the laws, culture, service availability, and public health realities in specific LMICs * Data sources for training or tuning LLMs for use on low-resource languages or in LMIC contexts * Studies demonstrating the health or health knowledge impact of LLM applications in low-resource language and/or LMIC contexts * Equity- and Diversity-based evaluations of LLM performance on health domain tasks * Evidence-based position papers on best practices We will accept full papers (4-6 pages, including references) and abstracts (2 pages, including references). Full papers will be eligible for a Best Paper Award with a $300 (USD) prize sponsored by MSD for Mothers <https://www.msdformothers.com/>. Please see https://www.nivi.io/all4health for further information including submission instructions. Best wishes, The ALL 4 Health organizing committee all-4-health(a)googlegroups.com https://www.nivi.io/all4health References: 1. R. Shrivastava. “Gates Foundation Funds Nearly 50 Generative AI Projects In Low And Middle Income Countries.” Forbes, 10 August 2023, https://www.forbes.com/sites/rashishrivastava/2023/08/10/gates-foundation-f… 2. Viet Dac Lai, et al. "Chatgpt beyond english: Towards a comprehensive evaluation of large language models in multilingual learning. <https://arxiv.org/abs/2304.05613>" arXiv preprint arXiv:2304.05613 (2023). 3. J. Dodge, et al. "Documenting large webtext corpora: A case study on the colossal clean crawled corpus. <https://arxiv.org/abs/2104.08758>" arXiv preprint arXiv:2104.08758 (2021). 4. N.R. Robertson, et al. "ChatGPT MT: Competitive for High- (but not Low-) Resource Languages. <https://arxiv.org/abs/2309.07423>" arXiv preprint arxiv:2309.07423 (2023).

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Second call for papers: Holocaust Testimonies as Language Resources
by Martin Wynne 05 Feb '24

05 Feb '24

Second call for papers for the LREC-COLING2024 pre-conference workshop: Holocaust Testimonies as Language Resources * *Date:21 May 2024 (full day) Venue:Lingotto Conference Centre, Turin, Italy Webpage: https://www.clarin.eu/HTRes2024 Submission Deadline: 21 February 2024 Submission Portal:https://softconf.com/lrec-coling2024/htres2024/ *Workshop description* Holocaust testimonies serve as a bridge between survivors and history’s darkest chapters, providing a connection to the profound experiences of the past. Testimonies stand as the primary source of information that describe the Holocaust, offering first-hand accounts and personal narratives of those who experienced it. The majority of testimonies are captured in an oral format, as survivors vividly explain and share their personal experiences and observations from that time period. Transforming Holocaust testimonies into a machine-processable digital format can be a difficult task owing to the unstructured nature of the text. The creation of accessible, comprehensive, and well-annotated Holocaust testimony collections is of paramount importance to our society. These collections empower researchers and historians to validate the accuracy of socially and historically significant information, enabling them to share critical insights and trends derived from these data. This workshop will investigate a number of ways in which techniques and tools from natural language processing and corpus linguistics can contribute to the exploration, analysis, dissemination and preservation of Holocaust testimonies. The workshop is supported by CLARIN and the European Holocaust Research Infrastructure (EHRI). We expect contributions related to the following topics: Creation of datasets and development of tools for the study of Holocaust testimonies: * Creation of language corpora of Holocaust testimonies * Digitization and enhancement of oral and written testimonies (including automatic speech recognition, alignment of text and speech, format conversion, OCR, handwriting recognition, machine translation) * Named entity recognition for identifying people, places, and events in testimonies * Standards, representation formats, and guidelines for annotations and vocabularies relevant to the Holocaust testimonies * Creation, adaptation and tuning of software applications for the creation, annotation, enhancement and use of Holocaust testimonies as language resources * Research usingand Holocaust testimonies o Applications of NLP in analysing Holocaust survivor testimonies o Sentiment analysis and emotional content extraction from survivor narratives. * Data Visualisation, Knowledge Representation and Information Extraction: o Visualising complex data structures from Holocaust testimonies o Building knowledge graphs and networks to represent historical relationships o Interactive data visualisations for education and research o Extracting biographical and temporal information relevant to the Holocaust o Deep learning and large language models * Digital Archiving and Long-Term Preservation: o Methods and tools for digitising and preserving Holocaust testimonies o Best practices for metadata standards and cataloguing o Ensuring long-term accessibility and data integrity * Ethical Considerations and Privacy o Ethical challenges in digitising and sharing sensitive testimonies o Anonymisation and privacy protection in Holocaust data o Community engagement and consent in digital projects * User and application aspects o Development of tools and interfaces for the search, analysis and exploration of Holocaust testimonies o Other relevant use cases and application scenarios All papers must clearly state and explain their relevance to the topic of 'Holocaust Testimonies as Language Resources'. *Submission & Publication* All papers must represent original and unpublished work that is not currently under review. Papers will be evaluated according to their significance, originality, technical content, style, clarity, and relevance to the workshop. We welcome the following types of contributions: * Standard research papers (up to 8 pages, plus more pages for references if needed); * Short research papers (from 4 to 6 pages, plus more pages for references if needed). Submissions must be anonymous and strictly follow theLREC2024 stylesheet formatting<https://lrec-coling-2024.org/authors-kit/>guidelines. All papers should be electronically submitted in PDF format via the main conference platform viaSTART <https://softconf.com/lrec-coling2024/htres2024/>. *Important Dates* * *Paper submission deadline:*21 February 2024 * *Notification of acceptance:*20 March 2024 * *Camera-ready paper:*15 April 2024 * *Workshop date:*21 May 2024 *Organising Committee* * Isuri Anuradha, University of Wolverhampton, UK * Ingo Frommholz, University of Wolverhampton * Francesca Frontini, CNR-ILC, Italy & CLARIN * Martin Wynne, Oxford University, UK * Ruslan Mitkov, Lancaster University, UK * Paul Rayson, Lancaster University, UK * Alistair Plum, University of Luxembourg, Luxembourg *Programme Committee* * Le An Ha, Ho Chi Minh City University of Foreign Languages and Information Technology, Vietnam * Federico Boschetti, CNR-Istituto di, Linguistica Computazionale “A. Zampolli”, Italy * Estelle Bunout, University of Luxembourg, Luxembourg * Martin Bulin, University of West Bohemia, Czech Republic * Tim Cole, University of Bristol, UK * Angelo Mario Del Grosso, CNR-Istituto di, Linguistica Computazionale “A. Zampolli”, Italy * Maria Dermentzi, King’s College London, UK * Robert Ehrenreich, USHMM, USA * Ignatius Ezeani, Lancaster University, UK * Ian Gregory, Lancaster University, UK * Wolf Gruner, Shoah Foundation, USA * Arjan van Hessen, Radboud University * Henk van den Heuvel, Radboud University & CLARIN ERIC * Renana Keydar, The Hebrew University of Jerusalem, Israel * William J.B. Mattingly, USHMM, USA * Patricia Murrieta-Flores, Lancaster, University, UK * Maciej Ogrodniczuk, Institute of Computer, Science, Polish Academy of Sciences, Poland * Maciej Piasecki, Wroclaw University of Science and Technology, Poland * Rachel Pistol, King’s College London, UK * Johannes-Dieter Steinert, University of Wolverhampton, UK * Jan Svec, University of West Bohemia * Gabor Toth, University of Luxembourg,Luxembourg * Eveline Wandl-Vogt, Austrian Academy of Sciences, Vienna -- Senior Researcher in Corpus Linguistics Faculty of Linguistics, Philology and Phonetics, University of Oxford National Co-ordinator, CLARIN-UK martin.wynne(a)ling-phil.ox.ac.uk https://orcid.org/0000-0002-4155-0530

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