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NLP Scientific Officer Job opportunity at EC JRC - Ispra, Italy
by DE LONGUEVILLE Bertrand 16 Jan '23

16 Jan '23

DEADLINE EXTENDED : new deadline = 23/01/2023 Dear List, Please take good note of the Job Opportunity at the European Commission’s Joint Research Centre (see details blow). Please feel free to forward it to any potentially interested member of your networks. I enjoy the opportunity to whish happy Holidays season to all. Best Regards, Bertrand DE LONGUEVILLE, PhD Head of the Text Mining and Analysis Competence Centre (TMACC) [1601448337241] European Commission Joint Research Centre (JRC) Directorate T:Digital Transformation and Data<https://intracomm.ec.testa.eu/SYSPER2/org/vieworganisationjobs_jd.do?viewOb…> Unit T5 Text and Data Mining [cid:image002.jpg@01D929B6.08458220] The European Commission Text Mining and Analysis Competence Centre (TMACC - https://knowledge4policy.ec.europa.eu/text-mining/ ), hosted by the Joint Research Centre (JRC), is looking for a Machine Learning expert to reinforce our Natural Language Processing team. The Unit's day-to-day work involves processing vast amounts of textual data, including legal acts, political speeches, discussion fora, news and social media postings, to the benefit Science-for-Policy projects within the EU Institutions. The job is based in Ispra, Italy. An ideal candidate will have a PhD or a minimum of 3 years of professional experience after university, an academic background in Computer Science, Artificial Intelligence or similar, and hands-on experience in developing Text Mining applications. Contract duration: 36 months initial contract with possible renewals up to maximum 6 years. The basic monthly salary for Function Group IV (depending on years of experience): 3 555,98 - 6 593,66€. In addition to the basic salary, the candidate may be eligible for various allowances (including expatriation and household allowances). For further information, see: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=CELEX:52020XC1211(0… The JRC has short-term accommodation facilities for newcomers, nearby the its green campus situated close to Lago Maggiore. The JRC has childcare facilities for children under 4 years old. Children above 4 years can attend the European School of Varese (https://www.eurscva.eu/en/home/ ), for which transport is organised from the surrounding areas. To apply: 1. Create a profile on one of these two application portals: a. EPSO Permanent CAST https://epso.europa.eu/en/documents/2240 OR b. JRC specialised call for researchers https://joint-research-centre.ec.europa.eu/working-us/jobs-jrc/temporary-po… 2. Once you have created your profile via one of the above portals, create your application via: https://recruitment.jrc.ec.europa.eu/?type=AX The available position appears among the open positions with the following identifiers: 2022-IPR-I3-FGIV-022149 Title: FG IV – IT Project Officer – NLP Scientific Research https://recruitment.jrc.ec.europa.eu/showprj.php?type=A&id=2439&target= !! Deadline: 23/01/2023 !!

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EAMT 2023 Call for Papers
by Carol Scarton 16 Jan '23

16 Jan '23

******************************************************************* EAMT 2023 CALL FOR PAPERS Papers deadline: 3rd March 2023 Conference dates: 12th-15th June 2023 Location: Tampere, Finland Website: https://events.tuni.fi/eamt23/ ******************************************************************* The European Association for Machine Translation (EAMT) invites everyone interested in machine translation and translation-related tools and resources -- developers, researchers, users, translation and localization professionals and managers -- to participate in this conference. Driven by the state of the art, the research community will demonstrate their cutting-edge research and results. Professional machine translation users will provide insight into successful MT implementation of machine translation (MT) in business scenarios as well as implementation scenarios involving large corporations, governments, or NGOs. Translation studies scholars and translation practitioners are also invited to share their first-hand MT experience, which will be addressed during a special track. Note that papers that have been archived in arXiv can be accepted for submission provided that they have not already been published elsewhere. We expect to receive manuscripts in these four categories: ** Research: technical ** Submissions (up to 10 pages, including references) are invited for reports of significant research results in any aspect of machine translation and related areas. Such reports should include a substantial evaluation component, or have a strong theoretical and/or methodological contribution where results and in-depth evaluations may not be appropriate. Papers are welcome on all topics in the areas of machine translation and translation-related technologies, including, but not limited to: - Deep-learning approaches for MT and MT evaluation - Advances in classical MT paradigms: statistical, rule-based, and hybrid approaches - Comparison of various MT approaches - Technologies for MT deployment: quality estimation, domain adaptation, etc. - Resources and evaluation - MT in special settings: low resources, massive resources, high volume, low computing resources - MT applications: translation/localization aids, speech translation, MT for user generated content (blogs, social networks), MT in computer-aided language learning, etc. - Linguistic resources for MT: corpora, terminologies, dictionaries, etc. - MT evaluation techniques, metrics, and evaluation results - Human factors in MT and user interfaces - Related multilingual technologies: natural language generation, information retrieval, text categorization, text summarization, information extraction, optical character recognition, etc. Papers should describe original work. They should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Where appropriate, concrete evaluation results should be included. Papers should be anonymized, prepared according to the templates specified below, and be no longer than 10 pages (including references). Submit the paper as a PDF to the EasyChair EAMT 2023 page ( https://easychair.org/conferences/?conf=eamt2023 -- submission type: EAMT2023 technical research). ** Research: translators & users ** Submissions (up to 10 pages, including references) are invited for academic research on all topics related to how professional translators and other types of MT users interact with, are affected by, or conceptualize machine translation. Papers should report significant research results with a strong theoretical and/or methodological contribution. Topics for the track include, but are not limited to: - The impact of MT and post-editing: including studies on processes, effort, strategies, usability, productivity, pricing, workflows, and post-editese - Human factors and psycho-social aspects of MT adoption (ergonomics, motivation, and social impact on the profession) - Emerging areas for MT & post-editing: audiovisual, game localization, literary texts, creative texts, social media, health care communication, crisis translation - MT and ethics - The impact of using translators’ metadata and user activity data for monitoring their work - The evaluation and reception of different modalities of translation: human translation, post-edited, raw MT - MT and interpreting - Human evaluations of MT output - MT for gisting and the impact of MT on users: use cases, expectations, perceptions, trust, views on acceptability - MT and usability - MT and education/language learning - MT in the translation/interpreting classroom Papers should describe original work. They should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Papers should be anonymized, prepared according to the templates specified below, and be no longer than 10 pages (including references). Submit the paper as a PDF to the EasyChair EAMT 2023 page ( https://easychair.org/conferences/?conf=eamt2023 -- submission type: EAMT2023 translator and user research). ** Implementations & case studies ** Submissions (approximately 4–6 pages) are invited for reports on case studies and implementation experience with MT in organizations of all types, including small businesses, large corporations, governments, NGOs, or language service providers. We also invite translation practitioners to share their views and observations based on their day-to-day experience working with MT in a variety of environments. Topics for the track include, but are not limited to: - Integrating or optimizing MT and computer-assisted translation in translation production workflows (translation memory/MT thresholds, mixing online and offline tools, using interactive - - MT, dealing with MT confidence scores) - Managing change when implementing and using MT (e.g. switching between multiple MT systems, limiting degradations when updating or upgrading an MT system) - Implementing open-source MT (e.g. strategies to get support, reports on taking pilot results into full deployment, examples of advanced customization sought and obtained thanks to the open-source paradigm, collaboration within open-source MT projects) - Evaluating MT in a real-world setting (e.g. error detection strategies employed, metrics used, productivity or translation quality gains achieved) - Ethical and confidentiality issues when using MT, especially MT in the cloud - Using MT in social networking or real-time communication (e.g. enterprise support chat, multilingual content for social media) - MT and usability - Implementing MT to process multilingual content for assimilation purposes (e.g. cross-lingual information retrieval, MT for e-discovery or spam detection, MT for highly dynamic content) - MT in literary, audiovisual, game localization and creative texts - Impact of MT and post-editing on translation practices and the profession: processes, effort, compensation - Psycho-social aspects of MT adoption (ergonomics, motivation, and social impact on the profession) - Error analysis and post-editing strategies (including automatic post-editing and automation strategies) - The use of translators’ metadata and user activity data in MT development - Freelance translators’ independent use of MT - MT and interpreting Papers should highlight real-world use scenarios, solutions, and problems in addition to describing MT integration processes and project settings. Where solutions do not seem to exist, suggestions for MT researchers and developers should be clearly emphasized. For papers on implementations and case studies produced by academics, we require co-authorship with the actual organizations working with MT implementations. Papers (approximately 4–6 pages, with a maximum of 10 pages including references) should be formatted according to the templates specified below and submitted as PDF files to the EasyChair EAMT 2023 page ( https://easychair.org/conferences/?conf=eamt2023 -- submission type: EAMT2023 Implementations). Anonymization is not required in the Implementations & Case Studies track submissions. ** Products & Projects ** Submissions (2 pages, including references) are invited on either of the subtracks (Products or Projects). - Products: Tools for machine translation, computer-aided translation, and other translation technologies (including commercial products and free/open-source software). Descriptions should include information about product availability and licensing, an indication of cost if applicable, basic functionality, (optionally) a comparison with other products, and a description of the technologies used. The authors should be ready to present the tools in the form of demos or posters during the conference. - Projects: Research projects, funded through grants obtained in competitive public or private calls related to machine translation. Descriptions should contain: project title and acronym, funding agency, project reference, duration, list of partner institutions or companies in the consortium if there is one, project objectives, and a summary of partial results available or final results if the project has ended. The authors should be ready to present the projects in the form of posters during the conference. This follows on from the successful ‘project villages’ held at the last EAMT conferences. There will be a poster boaster session for this track, in which authors will have 120 seconds to attract attendees to their posters or demos with a two-slide presentation. Submissions should be formatted according to the templates specified below. Anonymization is not required. Submissions should be no longer than 2 pages (including references), and submitted as PDF files to the EasyChair EAMT 2023 page (https://easychair.org/conferences/?conf=eamt2023 -- submission type: EAMT2023 Products–Projects). ** Best thesis award ** The EAMT Best Thesis Award 2022 for PhD theses defended during 2022 will be awarded at the conference, together with a presentation of the winner’s work. Information for candidates to the award is available at https://eamt.org/2023/01/09/the-anthony-c-clarke-award-for-the-2022-eamt-be… . The deadline is the same as for the paper submission. Theses should be submitted to the EasyChair EAMT 2023 page ( https://easychair.org/conferences/?conf=eamt2023 -- Submission type: Thesis Award). ** Templates for Papers ** Use one of the templates below to prepare your submission: - LaTeX (https://events.tuni.fi/uploads/2022/12/ee35fd56-latex_template.zip) - Cloneable Overleaf template (https://www.overleaf.com/read/mkjbkppndvxw) - Microsoft Word ( https://events.tuni.fi/uploads/2022/12/edd598d2-eamt23.docx) - Libre Office/Open Office ( https://events.tuni.fi/uploads/2022/12/ece98f81-eamt23.odt) - PDF (https://events.tuni.fi/uploads/2022/12/6e89772e-eamt23.pdf) ** Important deadlines ** Deadline for paper submission: 3 March 2023 Notification to authors: 6 April 2023 Author Registration: 5 May 2023 Camera ready deadline: 5 May 2023 All deadlines are at 23:59 CEST. -- *Carolina Scarton* Lecturer in Natural Language Processing Department of Computer Science University of Sheffield http://staffwww.dcs.shef.ac.uk/people/C.Scarton/

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CfP 4th workshop on Resources for African Indigenous Language (RAIL) @ EACL
by Menno Van Zaanen 16 Jan '23

16 Jan '23

First call for papers Fourth workshop on Resources for African Indigenous Language (RAIL) https://bit.ly/rail2023 The 4rd RAIL (Resources for African Indigenous Languages) workshop will be co-located with EACL 2023 in Dubrovnik, Croatia. The Resources for African Indigenous Languages (RAIL) workshop is an interdisciplinary platform for researchers working on resources (data collections, tools, etc.) specifically targeted towards African indigenous languages. In particular, it aims to create the conditions for the emergence of a scientific community of practice that focuses on data, as well as computational linguistic tools specifically designed for or applied to indigenous languages found in Africa. Previous workshops showed that the presented problems (and solutions) are not only applicable to African languages. Many issues are also relevant to other low-resource languages, such as different scripts and properties like tone. As such, these languages share similar challenges. This allows for researchers working on these languages with such properties (including non-African languages) to learn from each other, especially on issues pertaining to language resource development. The RAIL workshop has several aims. First, it brings together researchers working on African indigenous languages, forming a community of practice for people working on indigenous languages. Second, the workshop aims to reveal currently unknown or unpublished existing resources (corpora, NLP tools, and applications), resulting in a better overview of the current state-of-the-art, and also allows for discussions on novel, desired resources for future research in this area. Third, it enhances sharing of knowledge on the development of low-resource languages. Finally, it enables discussions on how to improve the quality as well as availability of the resources. The workshop has “Impact of impairments on language resources” as its theme, but submissions on any topic related to properties of African indigenous languages (including non-African languages) may be accepted. Suggested topics include (but are not limited to) the following: Digital representations of linguistic structures Descriptions of corpora or other data sets of African indigenous languages Building resources for (under resourced) African indigenous languages Developing and using African indigenous languages in the digital age Effectiveness of digital technologies for the development of African indigenous languages Revealing unknown or unpublished existing resources for African indigenous languages Developing desired resources for African indigenous languages Improving quality, availability and accessibility of African indigenous language resources Submission requirements: We invite papers on original, unpublished work related to the topics of the workshop. Submissions, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references. The final camera-ready version of accepted long papers are allowed one additional page of content (so up to 9 pages) so that reviewers’ feedback can be incorporated. Submissions need to use the EACL stylesheets. These can be found at https://2023.eacl.org/calls/styles. Submission is electronic in PDF through the START system (link will be provided once available). Reviewing is double-blind, so make sure to anonymize your submission (e.g., do not provide author names, affiliations, project names, etc.) Limit the amount of self citations (anonymized citations should not be used). Accepted papers will be published in the ACL workshop proceedings. Important dates: Submission deadline 13 February 2023 Date of notification 13 March 2023 Camera ready deadline 27 March 2023 RAIL workshop 2 or 6 May 2023 Organising Committee Rooweither Mabuya, South African Centre for Digital Language Resources (SADiLaR), South Africa Don Mthobela, Cam Foundation Mmasibidi Setaka, South African Centre for Digital Language Resources (SADiLaR), South Africa Menno van Zaanen, South African Centre for Digital Language Resources (SADiLaR), South Africa -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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[WWW-2023 - FinWeb] 2nd CFP - The 3rd Workshop on Financial Technology on the Web
by CHUNG-CHI CHEN 16 Jan '23

16 Jan '23

Dear colleagues, We are pleased to share the information of The 3rd Workshop on Financial Technology on the Web (FinWeb) with you. FinWeb-2023 is to be held on April 30, 2023 in conjunction with The Web Conference 2023. We invite the submission of papers on original research in this area. We offer the prize in the main track (USD$500 to the Best Paper Award winner). *Submission Deadline: Feb. 06, 2023* The proceedings of the workshops will be published jointly with the conference proceedings. Please refer to the site of FinWeb-2023 for more details: https://sites.google.com/nlg.csie.ntu.edu.tw/finweb-2023/home Sincerely, Chung-Chi Chen, Hen-Hsen Huang, Hiroya Takamura, Hsin-Hsi Chen FinWeb-2023 Organizers

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Call-for-Participation: ImageCLEF 2023 Multimedia Retrieval in CLEF Lab
by Bogdan Ionescu 15 Jan '23

15 Jan '23

[Apologies for multiple postings] ImageCLEF 2023 Multimedia Retrieval in CLEF http://www.imageclef.org/2023/ https://www.facebook.com/ImageClef/ https://twitter.com/imageclef/ *** CALL FOR PARTICIPATION *** ImageCLEF 2023 is an evaluation campaign that is being organized as part of the CLEF (Conference and Labs of the Evaluation Forum) labs. The campaign offers several research tasks that welcome participation from teams around the world. The results of the campaign appear in the working notes proceedings, published by CEUR Workshop Proceedings (CEUR-WS.org) and are presented in the CLEF conference. Selected contributions among the participants will be invited for submission to a special section "Best of CLEF'23 Labs" in the Springer Lecture Notes in Computer Science (LNCS) of CLEF'23, together with the annual lab overviews. Target communities involve (but are not limited to): information retrieval (text, vision, audio, multimedia, social media, sensor data, etc.), machine learning, deep learning, data mining, natural language processing, image and video processing, computer vision, with special attention to the challenges of multi-modality, multi-linguality, and interactive search. *** 2023 TASKS *** - medical dialogue topic classification and summarization - visual question answering and generation - traceability of training data in synthetic medical image generation - concept detection and caption prediction - recommendations of articles and editorials from Europeana data - classification of photographic user profiles in unintended scenarios - late fusion mechanisms and ensembling #ImageCLEFmedMEDIQA-Sum (new) https://www.imageclef.org/2023/medical/mediqa Clinical notes are documents that are routinely created by clinicians after every patient encounter. They are used to record a patient's health conditions as well as past or planned tests and treatments. The task tackles the automatic generation of clinical notes summarizing clinician-patient encounter conversations through dialogue to topic classification, dialogue to note summarization, and full-encounter dialogue to note summarization. Organizers: Wen-wai Yim, and Asma Ben Abacha (Microsoft, USA), Neal Snider (Microsoft/Nuance, USA), Griffin Adams (Columbia University, USA), Meliha Yetisgen (University of Washington, USA). #ImageCLEFmedVQA (new) https://www.imageclef.org/2023/medical/vqa Identifying lesions in colonoscopy images is one of the most popular applications of artificial intelligence in medicine. Until now, the research has focused on single-image or video analysis. The main focus of the task will be on visual question answering and visual question generation. The goal is that through the combination of text and image data the output of the analysis gets easier to use by medical experts. Organizers: Michael A. Riegler, Steven A. Hicks, Vajira Thambawita, Andrea Storås, and Pål Halvorsen (SimulaMet, Norway), Thomas de Lange, Nikolaos Papachrysos, and Johanna Schöler (Sahlgrenska University Hospital, Sweden), Debesh Jha (Norway & Northwestern University, USA). #ImageCLEFmedGANs (new) https://www.imageclef.org/2023/medical/gans The task is focused on examining the existing hypothesis that GANs are generating medical images that contain the "fingerprints" of the real images used for generative network training. If the hypothesis is correct, artificial biomedical images may be subject to the same sharing and usage limitations as real sensitive medical data. On the other hand, if the hypothesis is wrong, GANs may be potentially used to create rich datasets of biomedical images that are free of ethical and privacy regulations. Organizers: Serge Kozlovski, and Vassili Kovalev (Belarusian Academy of Sciences, Minsk, Belarus), Ihar Filipovich (Belarus State University, Minsk, Belarus), Alexandra Andrei, Ioan Coman, and Bogdan Ionescu (Politehnica University of Bucharest, Romania), Henning Müller (University of Applied Sciences Western Switzerland, Sierre, Switzerland). #ImageCLEFmedicalCaption (7th edition) https://www.imageclef.org/2023/medical/caption Interpreting and summarizing the insights gained from medical images such as radiology output is a time-consuming task that involves highly trained experts and often represents a bottleneck in clinical diagnosis pipelines. The task addresses the need for automatic methods that can approximate this mapping from visual information to condensed textual descriptions. The more image characteristics are known, the more structured are the radiology scans and hence, the more efficient are the radiologists regarding interpretation. Organizers: Johannes Rückert (University of Applied Sciences and Arts Dortmund, Germany), Asma Ben Abacha (Microsoft, USA), Alba García Seco de Herrera (University of Essex, UK), Christoph M. Friedrich (University of Applied Sciences and Arts Dortmund, Germany), Henning Müller (University of Applied Sciences Western Switzerland, Sierre, Switzerland), Louise Bloch, Raphael Brüngel, Ahmad Idrissi-Yaghir, and Henning Schäfer (University of Applied Sciences and Arts Dortmund, Germany). #ImageCLEFrecommending (new) https://www.imageclef.org/2023/recommending In recent years cultural heritage organisations have made considerable efforts to digitise their collections, and this trend is expected to continue due to organisational goals and national cultural policies. Thus media archives have not only exponentially increased in size, but now hold contents in various modalities (video, image, text). Even when structured metadata is available it is still difficult to discover the contents of media archives and allow users to navigate multiperspectivity in media collections. The task addresses the content-based recommendation of meaningful articles and editorials for specific topics from Europeana data. Organizers: Alexandru Stan, and George Ioannidis (IN2 Digital Innovations, Germany), Bogdan Ionescu (Politehnica University of Bucharest, Romania), Hugo Manguinhas (Europeana Foundation, Netherlands). #ImageCLEFaware (3rd edition) https://www.imageclef.org/2023/aware The images available on social networks can be exploited in ways users are unaware of when initially shared, including situations that have serious consequences for the users’ real lives. For instance, it is common practice for prospective employers to search online for information about their future employees. This task addresses the development of algorithms which raise the users’ awareness about real-life impact of online image sharing by classifying user profiles in a list of common unintended use-cases. Organizers: Jérôme Deshayes-Chossart, and Adrian Popescu (CEA LIST, France), Bogdan Ionescu (Politehnica University of Bucharest, Romania). #ImageCLEFfusion (2nd edition) https://www.imageclef.org/2023/fusion Despite the current advances in knowledge discovery, single learners do not produce satisfactory performance when dealing with complex data, such as class imbalance, high-dimensionality, concept drift, noisy data, multimodal data, etc. The task aims to fill this gap by exploiting novel and innovative late fusion techniques for producing a powerful learner based on the expertise of the pool of classifiers it integrates. The task requires participants to develop aggregation mechanisms of the outputs of the supplied systems and generate ensemble predictions with significantly higher performance than the individual systems. Organizers: Liviu-Daniel Stefan, Mihai Gabriel Constantin, Mihai Dogariu, and Bogdan Ionescu (Politehnica University of Bucharest, Romania). *** IMPORTANT DATES *** (may vary depending on the task) - Run submission: May 10, 2023 - Working notes submission: June 5, 2023 - CLEF 2023 conference: September 18-21, 2023, Thessaloniki, Greece *** REGISTRATION *** Follow the instructions here https://www.imageclef.org/2023. *** OVERALL COORDINATION *** Bogdan Ionescu, Politehnica University of Bucharest, Romania Henning Müller, HES-SO, Sierre, Switzerland Ana-Maria Dragulinescu, Politehnica University of Bucharest, Romania *** ENDORSEMENT *** The campaign is supported under the H2020 AI4Media “A European Excellence Centre for Media, Society and Democracy” project, contract #951911 https://www.ai4media.eu/. On behalf of the organizers, Bogdan Ionescu https://www.aimultimedialab.ro/

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TOC: Journal of Language Modelling 10(1)
by Adam Przepiórkowski 14 Jan '23

14 Jan '23

It is our pleasure to announce the publication of issue 10(1) of the Journal of Language Modelling (JLM), a free open-access peer-reviewed journal aiming to bridge the gap between theoretical, formal and computational linguistics: http://jlm.ipipan.waw.pl/ (see “CURRENT” or “ALL ISSUES”). The direct persistent link to this issue is: http://jlm.ipipan.waw.pl/index.php/JLM/issue/view/27. JLM is indexed by SCOPUS, ERIH PLUS, DBLP, DOAJ, etc., and it is a member of OASPA. TABLE OF CONTENTS: Articles: “Learning reduplication with a neural network that lacks explicit variables” Brandon Prickett, Aaron Traylor, Joe Pater 1–38 Editorials: “Introduction to the special section on the interaction between formal and computational linguistics” Timothée Bernard, Grégoire Winterstein 39–47 Articles (special section): “20 years of the Grammar Matrix: cross-linguistic hypothesis testing of increasingly complex interactions” Olga Zamaraeva, Chris Curtis, Guy Emerson, Antske Fokkens, Michael Wayne Goodman, Kristen Howell, T.J. Trimble, Emily M. Bender 49–137 “Implementing Natural Language Inference for comparatives” Izumi Haruta, Koji Mineshima, Daisuke Bekki 139–191 The current make-up of the JLM Editorial Board is enclosed below. Best regards, Adam Przepiórkowski (JLM Editor-in-Chief) ====================================================================== EDITORIAL BOARD: Steven Abney, University of Michigan, USA Ash Asudeh, University of Rochester, USA Chris Biemann, Universität Hamburg, GERMANY Igor Boguslavsky, Technical University of Madrid, SPAIN; Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, RUSSIA António Branco, University of Lisbon, PORTUGAL David Chiang, University of Southern California, Los Angeles, USA Greville Corbett, University of Surrey, UNITED KINGDOM Dan Cristea, University of Iași, ROMANIA Jan Daciuk, Gdańsk University of Technology, POLAND Mary Dalrymple, University of Oxford, UNITED KINGDOM Darja Fišer, University of Ljubljana, SLOVENIA Anette Frank, Universität Heidelberg, GERMANY Claire Gardent, CNRS/LORIA, Nancy, FRANCE Jonathan Ginzburg, Université Paris-Diderot, FRANCE Stefan Th. Gries, University of California, Santa Barbara, USA Heiki-Jaan Kaalep, University of Tartu, ESTONIA Laura Kallmeyer, Heinrich-Heine-Universität Düsseldorf, GERMANY Jong-Bok Kim, Kyung Hee University, Seoul, KOREA Kimmo Koskenniemi, University of Helsinki, FINLAND Jonas Kuhn, Universität Stuttgart, GERMANY Alessandro Lenci, University of Pisa, ITALY Ján Mačutek, Comenius University in Bratislava, SLOVAKIA Igor Mel’čuk, University of Montreal, CANADA Glyn Morrill, Technical University of Catalonia, Barcelona, SPAIN Stefan Müller, Humboldt Universität zu Berlin, GERMANY Mark-Jan Nederhof, University of St Andrews, UNITED KINGDOM Petya Osenova, Sofia University, BULGARIA David Pesetsky, Massachusetts Institute of Technology, USA Maciej Piasecki, Wrocław University of Technology, POLAND Christopher Potts, Stanford University, USA Louisa Sadler, University of Essex, UNITED KINGDOM Agata Savary, Université François Rabelais Tours, FRANCE Sabine Schulte im Walde, Universität Stuttgart, GERMANY Stuart M. Shieber, Harvard University, USA Mark Steedman, University of Edinburgh, UNITED KINGDOM Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa, CANADA Shravan Vasishth, Universität Potsdam, GERMANY Zygmunt Vetulani, Adam Mickiewicz University, Poznań, POLAND Aline Villavicencio, Federal University of Rio Grande do Sul, Porto Alegre, BRAZIL Veronika Vincze, University of Szeged, HUNGARY Yorick Wilks, Florida Institute of Human and Machine Cognition, USA Shuly Wintner, University of Haifa, ISRAEL Zdeněk Žabokrtský, Charles University in Prague, CZECH REPUBLIC ====================================================================== Adam Przepiórkowski ˈadam ˌpʃɛpjurˈkɔfskʲi http://clip.ipipan.waw.pl/ ____ Computational Linguistics in Poland http://jlm.ipipan.waw.pl/ ___________ Journal of Language Modelling http://zil.ipipan.waw.pl/ ____________ Linguistic Engineering Group http://nkjp.pl/ _________________________ National Corpus of Polish

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First CFP: The International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023)
by Constantin Orasan 13 Jan '23

13 Jan '23

The International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023), Naples, Italy, 7 – 9 July 2023 First call for papers Submission deadline: 10th April 2023 Website: http://hit-it-conference.org/home/ ABOUT THE CONFERENCE We are pleased to announce the International Conference on Human-Informed Translation and Interpreting Technology (HiT-IT 2023). HiT-IT 2023 is a follow-up of the successful HiT-IT workshops, which took place in Varna, Bulgaria in parallel to the international conferences RANLP 2017 and RANLP 2019. The conference will take place in Naples, Italy between 7 and 9 July 2023. The conference will be preceded by tutorials on 6 July 2023. HiT-IT seeks to act as a meeting point for (and invites) researchers working in translation and interpreting technologies, practicing technology-minded translators and interpreters, companies and freelancers providing services in translation and interpreting as well as companies developing tools for translators and interpreters. In addition to the accepted papers for presentation, HiT-IT will feature invited talks by prominent experts as well as presentations and panels hosted by practitioners. Most of the existing conferences are either focused too much on the automatic side of translation or concentrate largely on translators’ and interpreters’ professions. HiT-IT seeks to fill in this gap by allowing the discussion, the scientific comparison, and the mutual enrichment of professionals from both fields. HiT-IT 2023 addresses the development of translation tools and the experience translators and interpreters have with these tools as well as the development of machine translation engines, incorporating human (translators' and interpreters’) expertise. The conference also offers a discussion forum and publishing opportunity for professionals from the human translation and interpreting fields (e.g. translators including subtitlers, interpreters, respeakers, researchers in translation and interpreting studies) and for researchers and developers working on translation and interpreting technology and machine translation. The idea behind this conference attendees to hear the other side’s position and to voice their opinions on how to make translation technologies closer to what would be accepted by large audiences, by incorporating human expertise into them. TOPICS We invite papers on the following four main themes, however submissions on related themes/topics will also be considered. Both theoretical ideas and practical applications are welcome. Position papers promoting new ideas, challenging the current status of the fields and proposing how to take them forward are also encouraged. User needs: • analysis of translators’ and interpreters’ needs in terms of translation and interpreting technology • user requirements for interpreting and translation tools • incorporating human knowledge into translation and interpreting technology • what existing translators’ (including subtitlers’) and interpreters’ tools do not offer • user requirements for electronic resources for translators and interpreters • translation and interpreting workflows in larger organisations and the tools for translation and interpreting employed Existing methods and resources: • latest developments in translation and interpreting technology • electronic resources for translators and interpreters • annotation of corpora for translation and interpreting technology • crowdsourcing techniques for creating resources for translation and interpreting • latest advances in pre-editing and post-editing of machine translation • human-informed (semi-)automatic generation of interlingual subtitles • technology for subtitling Evaluation: • (human) evaluation of translation and interpreting technology • crowdsourcing techniques for evaluating translation and interpreting • evaluation of discourse and other linguistic phenomena in (machine) translation and interpreting • evaluation of existing resources for translators and interpreters • human evaluation of neural machine translation Other: • position papers discussing how machine translation should be improved to incorporate translators’/interpreters’ expertise • translation and interpreting technologies’ impact on the market • comparison between human and machine translation • changes in the translators and interpreters’ professions in the new technology era especially as a result of the latest developments in Neural Machine Translation Besides the above topics, submissions from industry and practitioners could discuss: distinctive work experience, ongoing practical work, in-house procedures or software, in-house processing pipelines, technology needs, managing a translation (technology) company, interpreters in the technology era, IP issues or any topic related to their professional activities in the field of (technology for) translation and interpreting, etc. SUBMISSIONS User papers for industry and practitioners. References to related work are optional. Allowed paper length: between 1 and 4 pages (without references). Academic submissions, in three different categories (have to follow formatting requirements, references to related work are required): • (academic) full papers – describing original completed research. Allowed paper length: maximum 8 pages (without references). • (academic) work-in-progress papers – describing work in progress, late breaking research, papers at a more conceptual stage, and other types of papers that do not fit in the ‘full’ papers category. Allowed paper length: maximum 6 pages (without references). • (academic) demo papers – describing working systems. Allowed paper length: maximum 4 pages (without references). In addition to the papers, the authors will be expected to demonstrate the systems at the conference. The papers will be submitted via the START system. The submission link will be published in the second call for papers and added to the website. The accepted papers will be published in the conference proceedings and made available online on the conference website. We plan to invite the authors of the best papers to submit extended versions to a special issue of a prestigious journal. IMPORTANT DATES Submission deadline: 10th April 2023 Notification of acceptance: 31st May 2023 Final version due: 10th June 2023 Early fee deadline: 20th June 2023 Conference dates: 7th – 9th July 2023 ORGANISATION HiT-IT is organised by the University of Wolverhampton, the University of Surrey (United Kingdom), the University of Malaga (Spain), and the University of Naples L’Orientale, (Italy), and the Association of Computational Linguistics (Bulgaria). Conference Chairs • Gloria Corpas Pastor (University of Malaga) • Ruslan Mitkov (University of Wolverhampton) • Johanna Monti (University of Naples L’Orientale) • Constantin Orasan (University of Surrey) Organising Committee • Dayana Abuin Rios (University of Malaga) • Khadija Ait Elqih (University of Naples l’Orientale) • Anastasia Bezobrazova (University of Malaga) • Meriem Boulekhoukh (University of Oran) • Rocío Caro Quintana (University of Wolverhampton) • Amal El Farhmat (University of Malaga) • Lilit Kharatian (University of Malaga) • Nikolai Nikolov (INCOMA Ltd.) • Daria Sokova (New Bulgarian University) The Programme Committee members and the invited speakers will be announced in the second and further calls. Venue The conference will take place at the Palazzo del Mediterraneo, University of Naples (https://www.unior.it/ateneo/253/1/palazzo-del-mediterraneo.html)

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2-year Postdoc position at CEA-List (Paris-Saclay University, France): NLP Transformer models for protein sequences
by Olivier Ferret 13 Jan '23

13 Jan '23

CEA List, a research institute of Paris-Saclay University, is looking for a Postdoctoral Fellow to join its laboratory of semantic analysis of texts and images. In the context of the DeepGenSeq project, the person hired will integrate an interdisciplinary team aiming to move closer to the goal of predictive and generative artificial intelligence for biology by exploiting deep contextual language models of biological sequences, which representations generalize to several applications like the prediction of mutational effects. BACKGROUND Exponential growth in sequencing throughput together with the sampling of natural (uncultured) populations are providing a deeper view of the diversity of proteins sequences across the tree of life. Proteins are molecular engines sustaining cellular life and the unobserved determinants of their structure and function are encoded in the distribution of observed natural sequences. Therefore, such vast amounts of (unlabeled) sequences provide evolutionary data that can form the ground for unsupervised learning of predictive and generative models of biological function. Recent advances in machine learning, with the development of the transformer architecture, have allowed the emergence of powerful language models that can be used to model proteins sequences. Through transfer learning, the learned representations can be used to detect homology (i.e. the relatedness between two protein sequences), predict secondary and tertiary structures, predict residue-residue contacts or predict fluorescence landscape. CHALLENGES AND OBJECTIVES Our focus here will be to develop high-capacity transformer-based language models on protein sequence data. Intrinsic organising principles captured in the resulting representations can then be applied in transfer learning settings to different predictive sub-tasks using limited experimental data (e.g. the effect of sequence variation on protein function). Following promising recent results, we plan to also explore zero-shot inference with no additional training and/or supervision from experimental data. Responsibilities: * Tune and optimize existing unsupervised transformer-based language models for protein sequences. * Develop and optimize code and machine learning algorithms for predictive models. * Integrate and analyze large data volumes. * Interact continuously with scientists in an interdisciplinary team. APPLICATION This project will be an excellent opportunity for a candidate who is looking to contribute to cutting-edge research and to train with experts in the field. We are seeking here a detail-oriented computer scientist and problem solver passionate in science. This 2 years position is open to a range of candidates from recent college graduates to more experienced scientists (e.g. post-docs) The ideal candidate should have the following qualifications: * Ph.D. or M.Sc. in Applied Mathematics, Computer Science, or Computational Biology. * Experience in Deep Learning methods. * Experience with Python, open-source software libraries for machine learning and Linux. * Strong mathematical background and analytical skills. * Effective organizational skills, e.g. the ability to prioritize work and contribute to the planning of a program of scientific research. * Demonstrated interpersonal skills including both the ability to work independently and perform collaborative research in an interdisciplinary team environment. * Good oral and written communication skills. Preferred: Previous experience with transformer-based techniques for NLP pre-training and transformer language models TERMS & COMPENSATION This 2 years position is open to a range of candidates from recent college graduates to more experienced scientists (e.g. post-docs) – the chosen candidate's salary will be commensurate with their level of education, skills, and experience. Other benefits include: - 48 days of paid holidays - on-site subsidized restaurant - partial remote work is possible, up to 3 days per week within the limit of 100 days per year - CEA contribution to the personal company savings plan LOCATION We are based on the Paris-Saclay research campus in the south of Paris, France. HOW TO APPLY Interested candidates should submit a resume and short cover letter to deepgenseq «at» saxifrage.saclay.cea.fr ABOUT US About CEA-List: https://list.cea.fr/en/ About the LASTI lab: https://kalisteo.cea.fr/index.php/ai/ https://kalisteo.cea.fr/index.php/textual-and-visual-semantic/ About Genoscope: https://www.genoscope.cns.fr

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NooJ 2023: Last Call for Papers & Deadline Extension
by Anita Bartulovic 13 Jan '23

13 Jan '23

NooJ 2023: Last Call for Papers & Deadline Extension Dear Colleagues, due to many requests and expressed interest, the submission deadline has been extended. The new deadline for apstract submission is now January 29th, 2023. ********************************************************************************* Conference URL: https://conference.unizd.hr/noojconference/ ********************************************************************************* The 17th NooJ International Conference 2023 Zadar, Croatia May, 31st – June, 2nd 2023 ********************************************************************************* The University of Zadar (Department of Classical Philology and Department of Information Sciences), in cooperation with the Centre de Recherches Interdisciplinaires et Transculturelles (C.R.I.T.) from the Université de Franche-Comté (Besançon) and the NooJ association are organizing the 17th NooJ International Conference 2023 to be held from May 31st to June 2nd, 2023 in Zadar (Croatia). NooJ annual conferences give NooJ users the opportunity to meet and share their experience as developers, researchers and teachers; to present the latest linguistic resources, Digital Humanities experiments and NLP applications developed with NooJ; to offer researchers and graduate students a tutorial to help them parse corpora and build NLP applications with NooJ. ABOUT NOOJ ******************** NooJ is a linguistic development environment software as well as a corpus processor. NooJ provides linguists with tools to develop dictionaries, Regular Grammars, Context-Free Grammars, Context-Sensitive Grammars, as well as their graphical equivalents, to formalize various linguistic phenomena. NooJ’s multi-layer approach allows linguists to accumulate elementary descriptions across different linguistic levels. NooJ is used as a corpus processor in the Digital Humanities as it allows researchers in the Social sciences to apply sophisticated queries to large corpora in real time, annotate texts automatically and perform various statistical analyses. NooJ’s linguistic engine has been integrated into various NLP applications that perform automatic semantic annotation, Named Entities Recognition, Information extraction, Paraphrase Generation, Business Intelligence, Machine Translator, Web Semantics. NooJ is a free open-source software promoted by the METASHARE European programme. It can run on Windows (C# .NET), macOS, LINUX and UNIX (Java). Its new engine and its source “RA” can be downloaded from GitLab and runs natively on Windows, macOS and LINUX. TOPICS OF INTEREST ******************** * Linguistic Resources: Typography, Spelling, Syllabification, Phonemic and Prosodic Transcription, Morphology, Lexical Analysis, Local Syntax, Structural Syntax, Transformational Analysis, Paraphrase Generation, Semantic Annotations, Semantic Analysis. * Digital Humanities: Corpus Linguistics, Discourse Analysis, Literature Studies, Second-Language Teaching, Narrative content analysis, Corpus processing for the Social Sciences. * Natural Language Processing Applications: Business Intelligence, Text Mining, Text Generation. Language Teaching Software, Automatic Paraphrasing, Machine Translation, etc. SUBMISSIONS ******************** We invite the submission of abstracts in English until January 15th, 2023. Abstracts should be between 300 and 600 words and submitted via Easy Abstract: http://linguistlist.org/easyabs/nooj2023. The scientific committee will review all proposals and authors will be given notice of acceptance of their papers no later than March 1st, 2023. All papers must be original and cannot simultaneously be presented to another journal or conference. IMPORTANT DATES ******************** Abstract submission: January 29h, 2023 Notification of acceptance: March 1st, 2023 Camera-ready abstract submission: March 20th, 2023 Early Registration: until April 15th, 2023 Selected papers submission: September 13th, 2023 POST-PROCEEDINGS ******************** A selection of the papers presented at the NooJ 2023 will be published by Springer Verlag in their CCIS Series. Deadline for submission of full camera-ready papers is September 13th, 2023. Meeting Location: Zadar, Croatia Contact Information: Linda Mijić nooj2023conf(a)gmail.com Meeting Dates: May 31st, 2023 to June 2nd, 2023 Abstract Submission Information: Abstracts can be submitted from November 11th, 2022 until January 29th, 2023.

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Two fully funded PhDs in NLP, London (QMUL)
by Haim Dubossarsky 13 Jan '23

13 Jan '23

I am looking for brilliant candidates who hold (or about to hold) MSc in Computer Science with a strong NLP research background for two, fully funded, PhD studentships at Queen Mary University of London (QMUL), School of Electronic Engineering and Computer Science. Next generation methods for meaning change The PhD student will develop new tools and models for detecting, understanding and predicting meaning change across languages. This student will be part of the Change is Key!<https://www.changeiskey.org/> international research program, and will be co-supervised by Prof Maria Liakata. To learn more about the project please visit here<http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…> (under the section: Next generation NLP methods for meaning change). Eligibility: This fully funded 3-year Principal's studentship (tuition fees + monthly stipend) is open for UK home students only. For further details on the application process and eligibility criteria please read this<http://eecs.qmul.ac.uk/phd/phd-studentships/principal-and-epsrc-dtp-phd-stu…>. Understanding neural representations via their algebraic-topological structures. The PhD student will work in an interdisciplinary environment and at the forefront of NLP research and will develop new methods to better understand and describe how neural Language Models work. The student will be co-supervised by Dr Omer Bobrowski. To learn more about the project please visit here<http://eecs.qmul.ac.uk/phd/phd-studentships/csc-phd-studentships-in-electro…> (under the section: Understanding neural representations via their algebraic-topological structures). Eligibility: This fully funded 4-year studentship (tuition fees + monthly stipend) is part of the collaboration scheme between QMUL and the China Scholarship Council (CSC), and is therefore open for Chinese students only. Additional information about the scheme's requirements (English Language test (IELTS) from the last 2 years among other things) is found here<https://www.qmul.ac.uk/scholarships/items/china-scholarship-council-scholar…>. If you are interested, please get in touch with me on: h.dubossarsky(a)qmul.ac.uk<mailto:h.dubossarsky@qmul.ac.uk>. Bests, Haim

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