July 2023 - Corpora - ELRA lists

NLP4CALL 2023 Final call for papers
by David Alfter 22 Aug '24

22 Aug '24

== 12th NLP4CALL, Tórshavn, Faroe Islands== The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of “Computational SLA” through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings “understanding” of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning; - that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL - that describe empirical studies on language learner data. This year a special focus is given to work done on error detection/correction and feedback generation. We encourage paper presentations and software demonstrations describing the above- mentioned themes primarily, but not exclusively, for the Nordic languages. ==Shared task== NEW for this year is the MultiGED shared task on token-level error detection for L2 Czech, English, German, Italian and Swedish, organized by the Computational SLA working group. For more information, please see the Shared Task website: https://github.com/spraakbanken/multiged-2023 ==Invited speakers== This year, we have the pleasure to announce two invited talks. The first talk is given by Marije Michel from the University of Amsterdam. The second talk is given by Pierre Lison from the Norwegian Computing Center. ==Submission information== Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references. We will be using the NLP4CALL template for the workshop this year. The author kit can be accessed here, alternatively on Overleaf: <https://spraakbanken.gu.se/sites/default/files/2023/NLP4CALL%20workshop%20t…> <https://spraakbanken.gu.se/sites/default/files/2023/nlp4call%20template.doc> <https://www.overleaf.com/latex/templates/nlp4call-workshop-template/qqqzqqy…> Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2023>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments. Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (<https://www.aclweb.org/anthology/venues/nlp4call/>). ==Important dates== 03 April 2023: paper submission deadline 21 April 2023: notification of acceptance 01 May 2023: camera-ready papers for publication 22 May 2023: workshop date ==Organizers== David Alfter (1), Elena Volodina (2), Thomas François (3), Arne Jönsson (4), Evelina Rennes (4) (1) Gothenburg Research Infrastructure for Digital Humanities, Department of Literature, History of Ideas, and Religion, University of Gothenburg, Sweden (2) Språkbanken, Department of Swedish, Multilingualism, Language Technology, University of Gothenburg, Sweden (3) CENTAL, Institute for Language and Communication, Université Catholique de Louvain, Belgium (4) Department of Computer and Information Science, Linköping University, Sweden ==Contact== For any questions, please contact David Alfter, david.alfter(a)gu.se For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…> Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/>

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3-year PhD position in Automatic Argumentation Mining in French Legal Decisions (Inria Lille, University of Lille, and LexisNexis France)
by Pascal Denis 10 Nov '23

10 Nov '23

Hi there, Could you please distribute the following job offer? Thanks. Best, Pascal ------------------------------------------------------------------------------------- We invite applications for a 3-year PhD position co-funded by Inria, the French national research institute in Computer Science and Applied Mathematics, and LexisNexis France, leader of legal information in France and subsidiary of the RELX Group. The overall objective of this project is to develop an automated system for detecting argumentation structures in French legal decisions, using recent machine learning-based approaches (i.e. deep learning approaches). In the general case, these structures take the form of a directed labeled graph, whose nodes are the elements of the text (propositions or groups of propositions, not necessarily contiguous) which serve as components of the argument, and edges are relations that signal the argumentative connection between them (e.g., support, offensive). By revealing the argumentation structure behind legal decisions, such a system will provide a crucial milestone towards their detailed understanding, their use by legal professionals, and above all contributes to greater transparency of justice. The main challenges and milestones of this project start with the creation and release of a large-scale dataset of French legal decisions annotated with argumentation structures. To minimize the manual annotation effort, we will resort to semi-supervised and transfer learning techniques to leverage existing argument mining corpora, such as the European Court of Human Rights (ECHR) corpus, as well as annotations already started by LexisNexis. Another promising research direction, which is likely to improve over state-of-the-art approaches, is to better model the dependencies between the different sub-tasks (argument span detection, argument typing, etc.) instead of learning these tasks independently. A third research avenue is to find innovative ways to inject the domain knowledge (in particular the rich legal ontology developed by LexisNexis) to enrich enrich the representations used in these models. Finally, we would like to take advantage of other discourse structures, such as coreference and rhetorical relations, conceived as auxiliary tasks in a multi-tasking architecture. The successful candidate holds a Master's degree in computational linguistics, natural language processing, machine learning, ideally with prior experience in legal document processing and discourse processing. Furthermore, the candidate will provide strong programming skills, expertise in machine learning approaches and is eager to work at the interplay between academia and industry. The position is affiliated with the MAGNET [1], a research group at Inria, Lille, which has expertise in Machine Learning and Natural Language Processing, in particular Discourse Processing. The PhD student will also work in close collaboration with the R&D team at LexisNexis France, who will provide their expertise in the legal domain and the data they have collected. Applications will be considered until the position is filled. However, you are encouraged to apply early as we shall start processing the applications as and when they are received. Applications, written in English or French, should include a brief cover letter with research interests and vision, a CV (including your contact address, work experience, publications), and contact information for at least 2 referees. Applications (and questions) should be sent to Pascal Denis (pascal.denis(a)inria.fr). The starting date of the position is 1 November 2022 or soon thereafter, for a total of 3 full years. Best regards, Pascal Denis [1] https://team.inria.fr/magnet/ [2] https://www.lexisnexis.fr/ -- Pascal ---- Pour une évaluation indépendante, transparente et rigoureuse ! Je soutiens la Commission d'Évaluation de l'Inria. ---- +++++++++++++++++++++++++++++++++++++++++++++++ Pascal Denis Equipe MAGNET, INRIA Lille Nord Europe Bâtiment B, Avenue Heloïse Parc scientifique de la Haute Borne 59650 Villeneuve d'Ascq Tel: ++33 3 59 35 87 24 Url: http://researchers.lille.inria.fr/~pdenis/ +++++++++++++++++++++++++++++++++++++++++++++++

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Core metadata scheme for learner corpora - feedback needed!
by Magali Paquot 30 Oct '23

30 Oct '23

Dear colleagues, Last month, we shared the result of our collaborative work on a core metadata scheme for learner corpora with LCR2022 participants. Our proposal builds on Granger and Paquot (2017)'s first attempt to design such a scheme and during our presentation, we explained the rationale for expanding on the initial proposal and discussed selected aspects of the revised scheme. Our proposal is available at https://docs.google.com/spreadsheets/d/1-RbX5iUCUtCBkZU9Rfk-kv-Vzc--F-eUW2O…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We firmly believe that our efforts to develop a core metadata scheme for learner corpora will only be successful to the extent that (1) the LCR community is given the opportunity to engage with our work in various ways (provide feedback on the general structure of the scheme, the list of variables that we identified as core and their operationalization; test the metadata on other learner corpora; use the scheme to start a new corpus compilation, etc.) and (2) the core metadata scheme is the result of truly collaborative work. As mentioned at LCR2022, we will be collecting feedback on the metadata scheme until the end of October. The online feedback form is available at: https://docs.google.com/document/d/1NeDUuxGJlPSJI9wHVA1xgGM-aV8jXTa8Qlb45K-…<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.goog…> We'd like to thank all the colleagues who already got back to us (at LCR2022, by email or via the online form). We also thank them for their appreciation and enthusiasm for our work! We'd also like to encourage more colleagues (and particularly those of you who have experience in learner corpus compilation) to provide feedback! We need help in finalizing the core metadata scheme to make sure that it can be applied in all learner compilation contexts. In short, we need you to make sure the scheme meets the needs of the LCR community at large. With very best wishes, Magali Paquot (also on behalf of Alexander König, Jennifer-Carmen Frey, and Egon W. Stemle) Reference Granger, S. & M. Paquot (2017). Towards standardization of metadata for L2 corpora. Invited talk at the CLARIN workshop on Interoperability of Second Language Resources and Tools, 6-8 December 2017, University of Gothenburg, Sweden. Dr. Magali Paquot Centre for English Corpus Linguistics Institut Langage et Communication UCLouvain https://perso.uclouvain.be/magali.paquot/

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CoCo4MT 2023 @ MT Summit Deadline Extended to July 16th!
by John Ortega 04 Sep '23

04 Sep '23

CoCo4MT is extended its deadline for paper submission to July 16th! The Second Workshop on Corpus Generation and Corpus Augmentation for Machine Translation (CoCo4MT) @MT-SUMMIT XIX The 19th Machine Translation Summit Sep 4-8, 2023, Macau SAR, China https://sites.google.com/view/coco4mt SCOPE It is a well-known fact that machine translation systems, especially those that use deep learning, require massive amounts of data. Several resources for languages are not available in their human-created format. Some of the types of resources available are monolingual, multilingual, translation memories, and lexicons. Those types of resources are generally created for formal purposes such as parliamentary collections when parallel and more informal situations when monolingual. The quality and abundance of resources including corpora used for formal reasons is generally higher than those used for informal purposes. Additionally, corpora for low-resource languages, languages with less digital resources available, tends to be less abundant and of lower quality. CoCo4MT is a workshop centered around research that focuses on manual and automatic corpus creation, cleansing, and augmentation techniques specifically for machine translation. We accept work that covers any language (including sign language) but we are specifically interested in those submissions that explicitly report on work with languages with limited existing resources (low-resource languages). Since techniques from high-resource languages are generally statistical in nature and could be used as generic solutions for any language, we welcome submissions on high-resource languages also. CoCo4MT aims to encourage research on new and undiscovered techniques. We hope that the methods presented at this workshop will lead to the development of high-quality corpora that will in turn lead to high-performing MT systems and new dataset creation for multiple corpora. We hope that submissions will provide high-quality corpora that are available publicly for download and can be used to increase machine translation performance thus encouraging new dataset creation for multiple languages that will, in turn, provide a general workshop to consult for corpora needs in the future. The workshop’s success will be measured by the following key performance indicators: - Promotes the ongoing increase in quality of machine translation systems when measured by standard measurements, - Provides a meeting place for collaboration from several research areas to increase the availability of commonly used corpora and new corpora, - Drives innovation to address the need for higher quality and abundance of low-resource language data. Topics of interest include: - Difficulties with using existing corpora (e.g., political considerations or domain limitations) and their effects on final MT systems, - Strategies for collecting new MT datasets (e.g., via crowdsourcing), - Data augmentation techniques, - Data cleansing and denoising techniques, - Quality control strategies for MT data, - Exploration of datasets for pretraining or auxiliary tasks for training MT systems. SHARED TASK To encourage research on corpus construction for low-resource machine translation, we introduce a shared task focused on identifying high-quality instances that should be translated into a target low-resource language. Participants are provided access to multi-way corpora in the high-resource languages of English, Spanish, German, Korean, and Indonesian, and using these, are required to identify beneficial instances, that when translated into the low-resource languages of Cebuano, Gujarati, and Burmese, lead to high-performing MT systems. More details on data, evaluation and submission can be found on the website (https://sites.google.com/view/coco4mt/shared-task) or by emailing coco4mt-shared-task(a)googlegroups.com. SUBMISSION INFORMATION CoCo4MT will accept research, review, or position papers. The length of each paper should be at least four (4) and not exceed ten (10) pages, plus unlimited pages for references. Submissions should be formatted according to the official MT Summit 2023 style templates (https://www.overleaf.com/latex/templates/mt-summit-2023-template/knrrcnxhkq…). Accepted papers will be published in the MT Summit 2023 proceedings which are included in the ACL Anthology and will be presented at the conference either orally or as a poster. Submissions must be anonymized and should be made to the workshop using the Softconf conference management system (https://softconf.com/mtsummit2023/CoCo4MT). Scientific papers that have been or will be submitted to other venues must be declared as such, and must be withdrawn from the other venues if accepted and published at CoCo4MT. The review will be double-blind. We would like to encourage authors to cite papers written in ANY language that are related to the topics, as long as both original bibliographic items and their corresponding English translations are provided. Registration will be handled by the main conference. (To be announced) IMPORTANT DATES May 18, 2023 - Call for papers released May 19, 2023 - Shared task release of train, dev and test data May 25, 2023 - Shared task release of baselines June 5, 2023 - Second call for papers June 20, 2023 - Third and final call for papers July 16, 2023 - Paper submissions due July 16, 2023 - Shared task deadline to submit results July 27, 2023 - Notification of acceptance July 27, 2023 - Shared task system description papers due August 03, 2023 - Camera-ready due September 4-5, 2023 - CoCo4MT workshop CONTACT CoCo4MT Workshop Organizers: coco4mt-2023-organizers(a)googlegroups.com CoCo4MT Shared Task Organizers: coco4mt-shared-task(a)googlegroups.com ORGANIZING COMMITTEE (listed alphabetically) Ananya Ganesh University of Colorado Boulder Constantine Lignos Brandeis University John E. Ortega Northeastern University Jonne Sälevä Brandeis University Katharina Kann University of Colorado Boulder Marine Carpuat University of Maryland Rodolfo Zevallos Universitat Pompeu Fabra Shabnam Tafreshi University of Maryland William Chen Carnegie Mellon University PROGRAM COMMITTEE (listed alphabetically tentative) Abteen Ebrahimi University of Colorado Boulder Adelani David Saarland University Ananya Ganesh University of Colorado Boulder Alberto Poncelas ADAPT Centre at Dublin City University Anna Currey Amazon Amirhossein Tebbifakhr University of Trento Atul Kr. Ojha National University of Ireland Galway Ayush Singh Northeastern University Barrow Haddow University of Edinburgh Bharathi Raja Chakravarthi National University of Ireland Galway Beatrice Savoldi University of Trento Bogdan Babych Heidelberg University Briakou Eleftheria University of Maryland Constantine Lignos Brandeis University Dossou Bonaventure Mila Quebec AI Institute Duygu Ataman New York University Eleftheria Briakou University of Maryland Eleni Metheniti Université Toulosse - Paul Sabatier Jasper Kyle Catapang University of Birmingham John E. Ortega Northeastern University Jonne Sälevä Brandeis University Kalika Bali Microsoft Katharina Kann University of Colorado Boulder Kochiro Watanabe The University of Tokyo Koel Dutta Chowdhury Saarland University Liangyou Li Huawei Manuel Mager University of Stuttgart Maria Art Antonette Clariño University of the Philippines Los Baños Marine Carpuat University of Maryland Mathias Müller University of Zurich Nathaniel Oco De La Salle University Niu Xing Amazon Patrick Simianer Lilt Rico Sennrich University of Zurich Rodolfo Zevallos Universitat Pompeu Fabra Sangjee Dondrub Qinghai Normal University Santanu Pal Saarland University Sardana Ivanova University of Helsinki Shantipriya Parida Silo AI Shiran Dudy Northeastern University Surafel Melaku Lakew Amazon Tommi A Pirinen University of Tromsø Valentin Malykh Moscow Institute of Physics and Technology Xing Niu Amazon Xu Weijia University of Maryland

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2nd CFP: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023)
by El-Haj, Mo 04 Sep '23

04 Sep '23

2nd Call for Abstracts: 1st Workshop on Readability for Low Resourced Languages (RLRL 2023) Free registration is now open https://bit.ly/3pwUwlG - a few tickets are still available. Please join us for an exciting online workshop where experts in natural language processing will come together to discuss the latest research and innovative approaches to assessing the readability of low-resource languages. The workshop will take place as a free online event on September 5, 2023, and is being hosted jointly by Lancaster University, Sheffield Hallam University and King Saud University. We welcome researchers and practitioners to submit presentation abstract proposals of up to 500 words for talks related to the development of a Readability Framework for low-resource languages. The ultimate goal of the workshop is to discuss best practices and state-of-the-art AI-based approaches to create mathematical representations of expected readability levels at different school grade or cognitive ability levels. The workshop will also focus on utilising classifiers that are intuitive for humans to understand and adjust, enabling the analysis and improvement of the decision-making criteria. We welcome abstracts on work that is still in progress or that does not yet have conclusive results. We encourage authors to share their work at various stages of development to facilitate discussions and collaboration during the workshop. Important Dates: - Due date for workshop abstract submission: August 1, 2023 (extended) - Notification of abstract acceptance to authors: August 10, 2023 - Workshop date: September 5, 2023 (online event<https://bit.ly/3pwUwlG>) Keynote speakers: - Professor Laurence Anthony - Faculty of Science and Engineering at Waseda University, Japan. - Dr Violetta Cavalli-Sforza - School of Science and Engineering at Al Akhawayn University, Morocco. - Professor Hend Al-Khalifa - College of Computer and Information Sciences at King Saud University, KSA - Dr Abdel-Karim Al Tamimi- Computer Science and Software Engineering at Sheffield Hallam University, UK - Dr Mo El-Haj - School of Computing and Communications at Lancaster University, UK For list of speakers, talks' titles and abstract please visit the workshop's website: https://wp.lancs.ac.uk/acc/rlrl2023/ The main objectives of the workshop are three-fold: 1- Increase awareness of the importance of readability in low-resource languages and its impact on language learning and literacy. 2- Discuss the challenges of readability in low-resource languages, such as limited resources and lack of standardization, and brainstorm strategies for addressing these challenges. 3- Foster a community of practice among participants, allowing them to share their experiences and best practices for addressing readability issues in low-resource languages. Abstract submission: Abstract submission page is now open, please submit abstracts of no more than 500 words https://easychair.org/conferences/?conf=rlrl2023 Alternatively, you can contact the organisers directly with presentation ideas on topics related to readability or low resourced languages. Topics of interest include, but are not limited to: - Machine learning for text readability - Applications of readability assessment - Readability in low-resource languages - Comprehensibility measures - Mathematical representations of readability levels - Text simplification for low-resource languages - Readability and comprehensibility in language learning - The effects of text simplification on readability - Readability frameworks for indigenous languages - Updating readability representations We look forward to your contributions and to a productive and enlightening workshop on September 5, 2023. RLRL 2023 Organisers: - Dr Mo El-Haj (SCC/DSI/UCREL, Lancaster University) - Dr Abdel-Karim Al Tamimi (CSSE, Sheffield Hallam University) - Prof. Hend Al Khalifa (iWAN, King Saud University) https://wp.lancs.ac.uk/acc/rlrl2023/ Best wishes, Mahmoud --------------------- Dr Mo El-Haj Senior Lecturer in NLP Co-Director of UCREL NLP Group Strategic Lead of Arabic and Financial NLP Research Advisory Board of the Natural Language Processing Journal https://benjamins.com/catalog/nlp School of Computing and Communications, Lancaster University https://www.lancaster.ac.uk/staff/elhaj @DocElhaj<https://twitter.com/DocElhaj>

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Job : Postdoc (12 months), NLP and gender stereotypes in the French media, Universite Grenoble Alpes, France
by François Portet 25 Aug '23

25 Aug '23

Call for postdoc applications in Natural Language Processing for the automatic detection of gender stereotypes in the French media (Grenoble Alps University, France) Starting date: flexible, November 30, 2023, at the latest Duration: full-time position for 12 months Salary: according to experience (up to 4142€/ month) Application Deadline: Open until filled Location: The position will be based in Grenoble, France. This is not a remote work. Keywords: natural language processing, gender stereotypes bias, corpus analysis, language models, transfer learning, deep learning *Context* The University of Grenoble Alps (UGA) has an open position for a highly motivated postdoc researcher to joint the multidisciplinary GenderedNews project. Natural Language Processing models trained on large amount of on-line content, have quickly opened new perspectives to process on-line large amount of on-line content for measuring gender bias in a daily basis (see our project https://gendered-news.imag.fr/ <https://gendered-news.imag.fr/> ). Regarding research on stereotypes, most recent works have studied Language Models (LM) from a stereotype perspective by providing specific corpora such as StereoSet (Nadeem et al., 2020) or CrowS-Pairs (Nangia et al. 2020). However, these studies are focusing on the quantifying of bias in the LM predictions rather than bias in the original data (Choenni et al., 2021). Furthermore, most of these studies ignore named entities (Deshpande et al., 2022) which account for an important part of the referents and speakers in news. In this project, we intend to build corpora, methods and NLP tools to qualify the differences between the language used to describe groups of people in French news. *Main Tasks* The successful postdoc will be responsible for day-to-day running of the research project, under the supervision of François Portet (Prof UGA at LIG) and Gilles Bastin (prof UGA at PACTE). Regular meetings will take place every two weeks. - Defining the dimensions of stereotypes to be investigated and the possible metrics that can be processed from a machine learning perspective. - Exploring, managing and curating news corpora in French for stereotypes investigation, with a view to making them widely available to the community to favor reproducible research and comparison. - Studying and developing new computational models to process large number of texts to reveal stereotype bias in news. Make use of pretrained models for the task. - Evaluate the methods on curated focused corpus and apply it to the unseen real longitudinal corpus and analyze the results with the team. - Preparing articles for submission to peer-reviewed conferences and journals. - Organizing progress meetings and liaising between members of the team. The hired person will interact with PhD students, interns and researchers being part of the GenderedNews project. According to his/her background his/her own interests and in accordance with the project's objective, the hired person will have the possibility to orient the research in different directions. *Scientific Environment* The recruited person will be hosted within the GETALP teams of the LIG laboratory (https://lig-getalp.imag.fr/ <https://lig-getalp.imag.fr/>), which offers a dynamic, international, and stimulating environment for conducting high-level multidisciplinary research. The person will have access to large datasets of French news, GPU servers, to support for missions as well as to the scientific activities of the labs. The team is housed in a modern building (IMAG) located in a 175-hectare landscaped campus that was ranked as the eighth most beautiful campus in Europe by the Times Higher Education magazine in 2018. The person will also closely work with Gilles Bastin (PACTE, a Sociology lab in Grenoble) and Ange Richard (PhD at LIG and PACTE). The project also includes an informal collaboration with "Prenons la une" (https://prenonslaune.fr/ <https://prenonslaune.fr/>) a journalists’ association which promotes a fair representation of women in the media. *Requirements* The candidate must have a PhD degree in Natural Language Processing or computer science or in the process of acquiring it. The successful candidate should have - Good knowledge of Natural Language Processing - Experience in corpus collection/formatting and manipulation. - Good programming skills in Python - Publication record in a close field of research - Willing to work in multidisciplinary and international teams - Good communication skills - Good mastering of French is required *Instructions for applying* Applications will be considered on the fly and must be addressed to François Portet (Francois.Portet(a)imag.fr <mailto:Francois.Portet@imag.fr>). It is therefore advisable to apply as soon as possible. The application file should contain - Curriculum vitae - References for potential letter(s) of recommendation - One-page summary of research background and interests for the position - Publications demonstrating expertise in the aforementioned areas - Pre-defense reports and defense minutes; or summary of the thesis with the date of defense for those currently in doctoral studies *References* Deshpande et al. (2022). StereoKG: Data-Driven Knowledge Graph Construction for Cultural Knowledge and Stereotypes. arXiv preprint arXiv:2205.14036. Choenni et al. (2021). Stepmothers are mean and academics are pretentious: What do pretrained language models learn about you? arXiv preprint arXiv:2109.10052. Nadeem et al. (2020) StereoSet: Measuring stereotypical bias in pretrained language models. ArXiv. Nangia et al. (2020) CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models. In EMNLP2020. -- François PORTET Professeur - Univ Grenoble Alpes Laboratoire d'Informatique de Grenoble - Équipe GETALP Bâtiment IMAG - Office 333 700 avenue Centrale Domaine Universitaire - 38401 St Martin d'Hères FRANCE Phone: +33 (0)4 57 42 15 44 Email:francois.portet@imag.fr www:http://membres-liglab.imag.fr/portet/

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[CfP] Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023
by Tirthankar Ghosal 25 Aug '23

25 Aug '23

*** Second Workshop on Information Extraction from Scientific Publications (WIESP) at IJCNLP-AACL 2023 *** *** Website: https://ui.adsabs.harvard.edu/WIESP/2023/ *** *** Twitter: https://twitter.com/wiesp_nlp *** Building on the success of the First WIESP at AACL-IJCNLP 2022, the Second Workshop on Information Extraction from Scientific Publications (WIESP) will provide a platform to researchers to foster discussion and research on information extraction, mining, generation, and knowledge discovery from scientific publications using Natural Language Processing and Machine Learning techniques. A lot of technological change happened in one year (since the 1st WIESP), especially with Generative Artificial Intelligence research. We are incorporating a few additional topics to stay abreast with the latest developments and research in the community. The 2nd iteration of WIESP would focus on the following topics (but not limited to): - Large Language Models (LLMs) for Science - Application of LLMs on information extraction, generation, mining and knowledge discovery from scientific publications - Probing LLMs for scientific fact checking and misinformation - Scientific document parsing - Scientific named-entity recognition - Scientific article summarization - Question-answering on scientific articles - Citation context/span extraction - Structured information extraction from full-text, tables, figures, bibliography - Novel datasets curated from scientific publications - Argument extraction and mining - Challenges in information extraction from scientific articles - Building knowledge graphs via mining scientific literature; querying scientific knowledge graphs - Novel tools for IE on scientific literature and interaction with users - Mathematical information extraction - Scientific concepts, facts extraction - Visualizing scientific knowledge - Bibliometric and Altmetric studies via information extraction from scientific articles and metadata In addition to research paper presentations, WIESP will also feature keynote talks, a panel discussion on “Large Language Models and Scientific Literature Mining'', and shared tasks. We will update the details on our website as and when they become available. We especially welcome participation from academic and research institutions, government and industry labs, publishers, and information service providers. Projects and organizations using NLP/ML techniques in their text mining and enrichment efforts are also welcome to participate. We strongly encourage participation of students, researchers, and science practitioners from diverse backgrounds, especially from underrepresented groups and communities, to be a part of WIESP events, and pro-actively make the workshop a diverse and inclusive one. ***Call for Papers*** We invite papers of the following categories: ***Long papers*** must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Papers must not exceed eight (8) pages of content, plus unlimited pages of references. The final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers' comments can be taken into account. ***Short papers*** must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages, such as a small, focused contribution, a negative result, or an interesting application nugget. Short papers must not exceed four (4) pages, plus unlimited pages of references. The final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers' comments can be taken into account. In addition to papers, WIESP will also host shared tasks. More details on the WIESP shared tasks will be available on our website shortly. Also, we will publish separate CfPs on the shared tasks. Shared task authors will be invited to write their system descriptions and those will be subjected to peer review. ***Shared Task: Function of Citation in Astrophysics Literature (FOCAL)*** The citation graph is an essential tool for helping researchers find relevant literature. To further empower discovery, we aim to label the edges of the graph with the function of the citation: e.g. is the cited work necessary background knowledge, or is it used as a comparison, to the citing work? To start this process, we propose a shared task of automatically labeling citations with a function based on the textual context of the citation. A sample dataset and more instructions can be found at: https://ui.adsabs.harvard.edu/WIESP/2023/SharedTasks All accepted papers would be published in the WIESP proceedings as part of IJCNLP-AACL 2023 and indexed in the ACL Anthology. ***Important Dates*** - Paper Submission Deadline: August 25, 2023 - Notification of workshop paper/abstract acceptance: October 2, 2023 - Camera-ready Submission Deadline: October 15, 2023 - Workshop: November 2-4, 2023 (online, final date TBD) ***All submission deadlines are 11.59 pm UTC -12h ("Anywhere on Earth")*** ***Submission Website and Format*** Submission Link: TBD (please have an eye on the website) Submission will be via softconf. Submissions should follow the ACLPUB formatting guidelines (https://acl-org.github.io/ACLPUB/formatting.html) and template files (https://github.com/acl-org/acl-style-files/tree/master). Submissions (Long and Short Papers) will be subject to a double-blind peer-review process. We follow the same policies as IJCNLP-AACL 2023 regarding preprints and double submissions. The anonymity period for WIESP 2023 is from July 25 to August 25. ***Organizers*** - Tirthankar Ghosal, National Center for Computational Sciences, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Thomas Allen, Center for Astrophysics | Harvard & Smithsonian, USA - Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA -- +++++++++++++++++++++++++++++++++++ Tirthankar Ghosal https://member.acm.org/~tghosal ++++++++++++++++++++++++++++++++++++

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FinCausal 2023: Training set released (English & Spanish)
by FinCausal 2023 11 Aug '23

11 Aug '23

*FinCausal 2023: Financial Document Causality Detection* We are glad to announce that the Training Dataset for both English and Spanish is released and ready on Codalab in this link: https://codalab.lisn.upsaclay.fr/competitions/14596 Please register on CodaLab and get to the FInCausal.2023 Competition. Under Participate, you will find the Training Datasets together with a Starting Kit to guide you through the Task. ###### *Task Description and Important Links *####### *FinCausal-2023 Shared Task: “Financial Document Causality Detection” *is organised within the *5th Financial Narrative Processing Workshop (FNP 2023)* taking place in the 2023 IEEE International Conference on Big Data (IEEE BigData 2023) <http://bigdataieee.org/BigData2023/>, Sorrento, Italy, 15-18 December 2023. It is a *one-day event*. Workshop URL: https://wp.lancs.ac.uk#####cfie/fincausal2023/ <https://wp.lancs.ac.uk/cfie/fincausal2023/> ###### *Additional Information *####### *Shared Task Description:* Financial analysis needs factual data and an explanation of the variability of these data. Data state facts but need more knowledge regarding how these facts materialised. Furthermore, understanding causality is crucial in studying decision-making processes. The *Financial Document Causality Detection Task* (FinCausal) aims at identifying elements of cause and effect in causal sentences extracted from financial documents. Its goal is to evaluate which events or chain of events can cause a financial object to be modified or an event to occur, regarding a given context. In the financial landscape, identifying cause and effect from external documents and sources is crucial to explain why a transformation occurs. Two subtasks are organised this year. *English FinCausal subtask *and* Spanish FinCausal subtask*. This is the first year where we introduce a subtask in Spanish. *Objective*: For both tasks, participants are asked to identify, given a causal sentence, which elements of the sentence relate to the cause, and which relate to the effect. Participants can use any method they see fit (regex, corpus linguistics, entity relationship models, deep learning methods) to identify the causes and effects. *English FinCausal subtask* - *Data Description: *The dataset has been sourced from various 2019 financial news articles provided by Qwam, along with additional SEC data from the Edgar Database. Additionally, we have augmented the dataset from FinCausal 2022, adding 500 new segments. Participants will be provided with a sample of text blocks extracted from financial news and already labelled. - *Scope: *The* English FinCausal subtask* focuses on detecting causes and effects when the effects are quantified. The aim is to identify, in a causal sentence or text block, the causal elements and the consequential ones. Only one causal element and one effect are expected in each segment. - *Length of Data fragments: *The* English FinCausal subtask* segments are made up of up to three sentences. - *Data format: *CSV files. Datasets for both the English and the Spanish subtasks will be presented in the same format. This shared task focuses on determining causality associated with a quantified fact. An event is defined as the arising or emergence of a new object or context regarding a previous situation. So, the task will emphasise the detection of causality associated with the transformation of financial objects embedded in quantified facts. *Spanish FinCausal subtask* - *Data Description: *The dataset has been sourced from a corpus of Spanish financial annual reports from 2014 to 2018. Participants will be provided with a sample of text blocks extracted from financial news, labelled through inter-annotator agreement. - *Scope: *The *Spanish FinCausal subtask* aims to detect all types of causes and effects, not necessarily limited to quantified effects. The aim is to identify, in a paragraph, the causal elements and the consequential ones. Only one causal element and one effect are expected in each paragraph. - *Length of Data fragments: *The *Spanish FinCausal subtask* involves complete paragraphs. - *Data format: *CSV files. Datasets for both the English and the Spanish subtasks will be presented in the same format. This shared task focuses on determining causality associated with both events or quantified facts. For this task, a cause can be the justification for a statement or the reason that explains a result. This task is also a relation detection task. Best regards, FinCausal 2023 Team

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Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...
by Albretch Mueller 31 Jul '23

31 Jul '23

At times google showers you with senseless links. lbrtchx

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Two Open Positions at JMU (CAIDAS), Data Science Chair
by janna.omeliyanenko＠gmail.com 30 Jul '23

30 Jul '23

The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies. In the first position, you will build machine and deep learning improved climate models that provide a basis for the prediction of regional climate change and agricultural risk assessment, allowing agriculture to react in time by applying appropriate policies to deal with the challenge of changing climate-related conditions. This work focuses on the use and extension of state of the art deep learning architectures such as transformers to solve important downstream tasks such as increasing climate model resolution, identifying relevant climate indicators, integrating additional ecosystem information, and transfer function. The second position focuses on natural language processing and will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://bigdata-at-geo.eu/

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Two Open Positions
by janna.omeliyanenko＠gmail.com 30 Jul '23

30 Jul '23

The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies. In the first position, you will build machine and deep learning improved climate models that provide a basis for the prediction of regional climate change and agricultural risk assessment, allowing agriculture to react in time by applying appropriate policies to deal with the challenge of changing climate-related conditions. This work focuses on the use and extension of state of the art deep learning architectures such as transformers to solve important downstream tasks such as increasing climate model resolution, identifying relevant climate indicators, integrating additional ecosystem information, and transfer function. The second position focuses on natural language processing and will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://bigdata-at-geo.eu/

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10th International Conference on Behavioural and Social Computing (BESC 2023): Call for Late Breaking Results
by georgeangelos60＠gmail.com 30 Jul '23

30 Jul '23

*** Call for Late Breaking Results *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ (*** Submission Deadline: 31 August, 2023 AoE ***) The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE BESC 2023 invites now submissions for Late Breaking Results. The submitted papers should be of original, high-quality research addressing cutting-edge developments from all areas of behavioural and social computing. The conference aims to bring together researchers and practitioners from academia and industry to share their knowledge, experience, and perspectives on the latest trends, challenges, and opportunities in this rapidly evolving field. Topics of interest include, but are not limited to: Social Computing, Computational Social Science and Applications • Computational models of social phenomena • Social behaviour • Social network analysis • Semantic web • Collective intelligence • Security, privacy, trust in social contexts • Social recommendation • Social influence and social contagions • Quantifying offline phenomena through online data • Forecasting of social phenomena • Science and technology studies approaches to computational social science • Social media and health behaviours • Social psychology and personality • New theories, methods, and objectives in computational social science Digital Humanities • Digital media • Digital humanities • Digital games and learning • Digital footprints and privacy • Crowd dynamics • Digital arts • Digital healthcare • Activity streams and experience design • Virtual communities (e.g., open-source, multiplayer gaming, etc.) Information Management and Information Systems (IS) • Decision analytics • E-Business • Decision analytics • Computational finance • Societal impacts of IS • Human behaviour and IS • IS in healthcare • IS security and privacy • IS strategy, structure and organizational impacts • Service science and IS Natural Language Processing • Web mining and its social interpretations • Sentiment Analysis, Stylistic Analysis, and Argument Mining • Opinion mining and social media analytics • Credibility of online content • Computational Linguistics • Mining big social data • Cognitive Modelling and Psycholinguistics Behaviour and User Modelling, Privacy, and Ethics • Behaviour change • Positive technology • Personalization for individuals, groups and populations • Large scale personalization, adaptation and recommendation • Web dynamics and personalization • Privacy, perceived security and trust • Technology and Wellbeing • Ethics of computational research on human behaviour Technology Enhanced Learning (TEL) • E-Learning and M-Learning • Open and Distance Learning • User modeling and personalization in TEL • TEL in secondary and in higher education • New tools for TEL BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special Sessions will be included in the same IEEE conference proceedings with the papers accepted for the general technical program. ● Computational Social Psychology in Post Covid-19 Period ● Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and Prediction ● Intelligent E-Learning at Post Covid-19 Era ● Big Data and AI-Powered Decision Support Systems in Business ● Understanding the Citizen's Behavior in Cognitive Cities ● Nudges and Behavioural Computing Models for a Sustainable and Equitable Development SUBMISSION INSTRUCTIONS The paper submission system is using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=besc2023 . All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity. Please note: • All submissions should use IEEE two-column style. Templates are available here: https://www.ieee.org/conferences/publishing/templates.html • All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages) and Doctoral Symposium papers (4 pages). • The page count above excludes the references (but includes any appendices). • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. • The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. • All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing). IMPORTANT DATES • Submission of all papers in the LBR category: 31 August 2023 AoE • Notification of acceptance for submitted papers: 15 September 2023 • Camera-Ready Submission: 1 October 2023 • Author Registration: 1 October 2023 ORGANISATION Steering Committee Chair • Guandong Xu, University of Technology Sydney, Australia General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • Ji Zhang, University of Southern Queensland, Australia Special Session Chairs • Taotao Cai, University of Southern Queensland, Australia • Ting Yu, Zhejiang Lab, China Doctoral Symposium Chair • Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair • Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair • Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs • Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore • Thanveer Shaik, University of Southern Queensland, Australia • Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster • Shiqing Wu, University of Technology Sydney, Australia

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16th BUCC Workshop at RANLP 2023: New submission deadline July 31, 2023
by Reinhard Rapp 29 Jul '23

29 Jul '23

************************************************************** 16th Workshop on Building and Using Comparable Corpora (BUCC) with Shared Task on Multilingual Terminology Extraction from Comparable Specialized Corpora Co-located with RANLP 2023 September 7, 2023 Workshop website: https://comparable.limsi.fr/bucc2023/ Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html RANLP website: http://ranlp.org/ranlp2023/ Workshop proceedings to be published in ACL Anthology Invited speaker: Sida I. Wang, Meta AI (FAIR) ************************************************************** MOTIVATION In the language engineering and the linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, unrelated corpora on the other. Comparable corpora have been used in a range of applications, including Information Retrieval, Machine Translation, Cross-lingual text classification, etc.? The linguistic definitions and observations related to comparable corpora can improve methods to mine such corpora for applications of statistical NLP, for example to extract parallel corpora from comparable corpora for neural MT. As such, it is of great interest to bring together builders and users of such corpora. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora: * Automatic and semi-automatic methods * Methods to mine parallel and non-parallel corpora from the web * Tools and criteria to evaluate the comparability of corpora * Parallel vs non-parallel corpora, monolingual corpora * Rare and minority languages, across language families * Multi-media/multi-modal comparable corpora Applications of comparable corpora: * Human translation * Language learning * Cross-language information retrieval & document categorization * Bilingual and multilingual projections * (Unsupervised) Machine translation * Writing assistance * Machine learning techniques using comparable corpora Mining from Comparable Corpora: * Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models * Extraction of parallel segments or paraphrases from comparable corpora * Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) * Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora * Induction of morphological, grammatical, and translation rules from comparable corpora * Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities: * Comparing linguistic phenomena across languages in contrastive linguistics * Analyzing properties of translated language in translation studies * Studying language change over time in diachronic linguistics * Assigning texts to authors via authors' corpora in forensic linguistics * Comparing rhetorical features in discourse analysis * Studying cultural differences in sociolinguistics * Analyzing language universals in typological research IMPORTANT DATES July 31, 2023: Paper submission deadline (extended) August 12, 2023: Notification of acceptance August 25, 2023: Camera ready final papers September 7, 2023: Workshop date For updates see the workshop website at https://comparable.limsi.fr/bucc2023/ PRACTICAL INFORMATION Workshop registration is via the main conference registration site, see http://ranlp.org/ranlp2023/index.php/fees-registration/ The workshop proceedings will be published in the ACL Anthology. SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at http://ranlp.org/ranlp2023/index.php/submissions/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/ranlp23/BUCC/ Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings, which will be included in the ACL Anthology. Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately (i.e. as soon as known to the authors) notified to the workshop organizers by e-mail. For further information and updates see the BUCC 2023 website: https://comparable.limsi.fr/bucc2023/ BUCC 2023 SHARED TASK Bilingual Term Alignment in Comparable Specialized Corpora The BUCC 2023 shared task is on multilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure the performance of the systems, the published results are not comparable and the pros and cons of the various approaches are not clear. The shared task aims at solving these problems by organizing a fair comparison of systems. This is accomplished by providing corpora and evaluation datasets for a number of language pairs and domains. Moreover, the importance of dealing with multi-word expressions in Natural Language Processing applications has been recognized for a long time. In particular, multi-word expressions pose serious challenges for machine translation systems because of their syntactic and semantic properties. Furthermore, multi-word expressions tend to be more frequent in domain-specific text, hence the need to handle them in tasks with specialized-domain corpora. Through the 2023 BUCC shared task, we seek to evaluate methods that detect pairs of terms that are translations of each other in two comparable corpora, with an emphasis on multi-word terms in specialized domains. For the schedule and further details see the shared task website at https://comparable.limsi.fr/bucc2023/bucc2023-task.html WORKSHOP ORGANIZERS * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) * Serge Sharoff (University of Leeds, United Kingdom) Contact workshop: reinhardrapp (at) gmx (dot) de Contact shared task: pz (at) lisn (dot) fr PROGRAMME COMMITTEE * Ebrahim Ansari (Institue for Advanced Studies in Basic Sciences, Iran) * Thierry Etchegoyhen (Vicomtech, Spain) * Philippe Langlais (Université de Montréal, Canada) * Yves Lepage (Waseda University, Japan) * Shervin Malmasi (Amazon, USA) * Emmanuel Morin (Université de Nantes, France) * Dragos Stefan Munteanu (RWS, USA) * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Nasredine Semmar (CEA LIST, Paris, France) * Serge Sharoff (University of Leeds, UK) * Richard Sproat (OGI School of Science & Technology, USA) * Tim Van de Cruys (KU Leuven, Belgium) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) _______________________________________________ GSCL-Mitglieder mailing list GSCL-Mitglieder(a)lists.ids-mannheim.de https://lists.ids-mannheim.de/mailman/listinfo/gscl-mitglieder

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BioREd Track @ BioCreative VIII Challenge and Workshop (Call for Participation)
by Islamaj, Rezarta (NIH/NLM/NCBI) [E] 28 Jul '23

28 Jul '23

[apologies for cross-posting] BioRED track @ BioCreative VIII Challenge and Workshop Where, When: The BioCreative VIII workshop<BioCreative%20VIII%20workshop> will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA. BioCreative VIII Track 1: BioRED (Biomedical Relation Extraction Dataset) Track. (Rezarta Islamaj and Zhiyong Lu) This track aims to foster the development of systems that automatically extract biomedical relations in journal articles, and the final resource -- freely available to the community -- will consist of 1000 MEDLINE articles fully annotated with biological and medically relevant entities, biomedical relations between them, and the novelty of the relation (whether the relation is a key point of the article versus background knowledge that can be found elsewhere). The participants will use the training data (600 articles) to design and develop their NLP systems to extract asserted relationships from free text and are encouraged to classify relations that are novel findings. In the BioCreative setting we will enrich the BioRED training dataset with 400 recently published MEDLINE articles fully annotated, bringing this valuable resource to 1000 articles. This track serves as a continuation of previous BioCreative Workshops that addressed the individual extraction of bio entities and/or specific relations such as disease-gene, protein-protein, or chemical-chemical, in biomedical articles. In contrast from previous challenges, this track calls for the extraction of all semantic relations expressed in the article and their novelty factor. Participation: Teams can participate in one or more of these tracks. Team registration will continue until final commitment is requested by the individual tracks. To register a team go to the Registration form<https://urldefense.com/v3/__https:/forms.gle/cwEPevGPjrjm687z5__;!!KOmnBZxC…>. If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge(a)gmail.com<mailto:BiocreativeChallenge@gmail.com> Key dates: * Test data (only title/abstract) available: September 1, 2023 * Results Submission (sub-task 2, end-to-end system): September 7, 2023 * Test data (title/abstract and entity annotation) available: September 8, 2023 * Results Submission (sub-task 1, relation extraction): September 12, 2023 * Short technical systems description paper due: September 30, 2023 * Invites for presentation at the workshop: October 10, 2023 Workshop Proceedings and Special Issue: The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop. In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop. More Information: Webpage<https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-1/> Organizing Committee * Rezarta Islamaj, National Library of Medicine * Po-Ting Lai, National Library of Medicine * Chih-Hsuan Wei, National Library of Medicine * Ling Luo, Dalian University of Technology * Zhiyong Lu, National Library of Medicine

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PhD and Postdoc in CSS, University of Tartu, Estonia
by Rajesh Sharma 28 Jul '23

28 Jul '23

Hello All, Computational Social Science Group (https://css.cs.ut.ee/) is looking for PhD and Postdoctoral applicants which starts this autumn or ASAP ! What is the topic about? ==================== We are interested in topics related to misinformation, media biasness (fairness and explainability) on online social media. We are also open to other topics if they overlap with the interests of our group. Please do contact if you are interested at contact(a)css.cs.ut.ee Why join us? ==================== You'll be part of Estonia's esteemed University of Tartu Institute of Computer Science (https://cs.ut.ee/en) which is in the modern Delta Centre ( https://delta.ut.ee/en/), a beacon of technological innovation and research excellence. Scholarship/Salary: For PhD applicants, the gross salary is 2000 Euros per month for four years, and for postdocs, it will be 2500 Euros gross per month. We will support research related travels and there is no tuition fees for PhD students. Education Qualification: For PhD applicants, master's degree is required and for postdoc, PhD degree should be in hand. We are open to discuss positions with non-computer science students (who have good programming knowledge). Kind Regards Rajesh Sharma Associate Prof, and Erasmus+ Coordinator, Institute of Computer Science, Head, Computational Social Science Group, University of Tartu, Estonia. Email: rajesh.sharma(a)ut.ee https://cs.ut.ee/en

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ELRA Catalogue of Language Resources - Update
by info＠elda.org 27 Jul '23

27 Jul '23

[Apologies for multiple postings]* * We are happy to announce that 66 new monolingual lexicons and 1 speech resource are now available in our catalogue. Moreover, 4 speech resources are now available at reduced fees. *1) New Language Resources:* *Bitext Lexical Datasets* <http://catalog.elra.info/en-us/repository/search/?q=Bitext+Lexical+Dataset> The series of *Bitext Lexical Datasets* for the generic vocabulary includes Lemmas, POS tagging, Frequency, Named Entities and Offensive features. Depending on the dataset and language, other syntactic and morphological features are also provided. The following 15 languages are available: As a complement to the datasets mentioned above, 11 datasets of *Language Variants* can also be obtained: 1. Arabic (MSA) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0136/>dataset and Arabic Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0151/>dataset consisting of Arabic Gulf, Arabic Najdi, Arabic Egypt and Arabic MSA variants, 2. Chinese (Simplified) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0137/>dataset, Chinese (Traditional) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0138/>dataset, and Chinese Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0152/>dataset (Simplified + Traditional), 3. Dutch <http://catalog.elra.info/en-us/repository/browse/ELRA-L0139/>dataset and Dutch Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0153/>dataset consisting of Netherlands and Belgium variants, 4. English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0140/>dataset and English Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0154/>dataset consisting of United States, United Kingdom and India variants, 5. Finnish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0141/>dataset and Finnish Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0155/>dataset consisting of Standard and Colloquial Finnish variants, 6. French <http://catalog.elra.info/en-us/repository/browse/ELRA-L0142/>dataset and French Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0156/>dataset consisting of France, Canada and Switzerland variants, 7. German <http://catalog.elra.info/en-us/repository/browse/ELRA-L0143/>dataset and German Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0157/>dataset consisting of Germany and Switzerland variants, 8. Indonesian <http://catalog.elra.info/en-us/repository/browse/ELRA-L0144/>dataset, 9. Italian <http://catalog.elra.info/en-us/repository/browse/ELRA-L0145/>dataset and Italian Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0158/>dataset consisting of Italy and Switzerland variants, 10. Malay <http://catalog.elra.info/en-us/repository/browse/ELRA-L0146/>dataset, 11. Norwegian (Bokmal) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0147/>dataset and Norwegian Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0159/>dataset consisting of Bokmal and Nynorsk variants, 12. Portuguese <http://catalog.elra.info/en-us/repository/browse/ELRA-L0148/>dataset and Portuguese Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0160/>dataset consisting of Portugal and Brazil variants, 13. Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0149/>dataset and Spanish Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0161/>dataset consisting of Spain, North America, Central America, Andes and Southern Cone variants, *Bitext Synthetic Data* <http://catalog.elra.info/en-us/repository/search/?q=Bitext+Synthetic+Data> The Bitext Synthetic Data consist of pre-built training data for intent detection and are provided for 20 verticals for English and Spanish languages. They cover the most common intents for each vertical and include a large number of example utterances for each intent, with optional entity/slot annotations for each utterance. Data is distributed as models or open text files. For each language, the following verticals are available: 1. Automotive: 52 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0162/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0182/>) 2. Retail banking: 26 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0163/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0183/>) 3. Education: 37 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0164/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0184/>) 4. Event and ticketing: 25 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0165/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0185/>) 5. Field Service: 27 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0166/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0186/>) 6. Healthcare: 40 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0167/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0187/>) 7. Hospitality: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0168/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0188/>) 8. Insurance: 38 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0169/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0189/>) 9. Legal : 29 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0170/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0190/>) 10. Manufacturing: 34 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0171/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0191/>) 11. Media Streaming: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0172/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0192/>) 12. Mortgage and loans: 39 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0173/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0193/>) 13. Moving and storage: 29 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0174/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0194/>) 14. Real estate and construction: 28 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0175/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0195/>) 15. Restaurant/ bar chains: 30 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0176/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0196/>) 16. Retail Ecomm: 34 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0177/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0197/>) 17. Telecommunication: 26 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0178/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0198/>) 18. Travel: 33 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0179/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0199/>) 19. Utilities: 21 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0180/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0200/>) 20. Wealth management: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0181/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0201/>) *Persian Kids’ Speech Corpus* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0487/> The Persian Kids’ Speech Corpus consists of speech signals recorded by 286 children (141 girls, 145 boys), from 6 to 9 years old, through an Andreas Mic Anti-Noise microphone and a Premium Speechmike headphone. This recorded data was manually checked and labeled. Finally, a corpus containing 162,395 samples with a duration of 33 hours and 44 minutes was created. The samples are distributed as follows: 1. 29,057 Words (478 minutes), 2. 17,429 SubWords (260 minutes), 3. 43,838 Syllables (485 minutes), 4. 70,078 Phonemes (765 minutes), 5. 1,993 Extra Vocabulary (36 minutes). The prepared speech corpus comprehensively contains all the 29 Persian phonemes, 118 syllables, 56 sub-words, and 711 words and is particularly applicable to speech recognition and linguistics studies. *2) Reduced fees for the following speech resources:* * *Chinese Mandarin (South) database* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0397/> * *Chinese Mandarin (North) database* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0398/> * *Japanese Kids Speech database (Lower Grade)* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0411/> * *Japanese Kids Speech database (Upper Grade)* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0412/>** For more information on the catalogue or if you would like to enquire about having your resources distributed by ELRA, please *contact us* <mailto:contact@elda.org>. _________________________________________ Visit the *ELRA Catalogue of Language Resources* <http://catalog.elra.info> Visit the *Universal Catalogue* <http://universal.elra.info>** *Archives * <http://www.elra.info/en/catalogues/language-resources-announcements>of ELRA Language Resources Catalogue Updates /Our apologies if you have received multiple copies of this announcement./

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CMC-Corpora Conference 2023 14-15th September 2023, Mannheim: Last Chance for Early Bird Tickets
by cotgrove＠ids-mannheim.de 27 Jul '23

27 Jul '23

Dear List Members, You still have until 31st July (inclusive) to benefit from the Early Bird Discount when registering for the CMC-Corpora Conference 2023 in Mannheim, Germany on 14-15th September 2023. Registration is via EasyChair using the link: https://www.uni-mannheim.de/cmc-corpora2023/registration Keynote Speakers: Unn Røyneland (University of Oslo) Tatjana Scheffler (Ruhr University of Bochum) The conference programme and list of talks are available here: https://www.uni-mannheim.de/cmc-corpora2023/programme We look forward to seeing you in Mannheim in September! The CMC-Corpora Conference 2023 organising committee Jutta Bopp, Louis Cotgrove, Laura Herzberg, Harald Lüngen, Andreas Witt

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Third call for papers DHASA Conference 2023
by Menno Van Zaanen 27 Jul '23

27 Jul '23

Third call for papers DHASA Conference 2023 https://dh2023.digitalhumanities.org.za/ Theme: "Digital Humanities for Inclusion" The Digital Humanities Association of Southern Africa (DHASA) is pleased to announce its fourth conference, focusing on the theme "Digital Humanities for Inclusion." In a region where the field of Digital Humanities is still relatively underdeveloped, this conference aims to address this gap and foster growth and collaboration in the field. The conference offers an opportunity for researchers interested in showcasing their work in the broad field of Digital Humanities to come together. By doing so, the conference provides a comprehensive overview of the current state-of-the-art in Digital Humanities, particularly within the Southern Africa region. As such, we welcome submissions related to Digital Humanities research conducted by individuals from Southern Africa or research focused on the geographical area of Southern Africa. Furthermore, the conference serves as a platform for information sharing and networking among researchers passionate about Digital Humanities. By bringing together experts working on Digital Humanities in Southern Africa or with a focus on Southern Africa, we aim to promote collaboration and facilitate further research in this dynamic field. In addition to the main conference, affiliated workshops and tutorials will be organized, providing researchers with valuable insights into novel technologies and tools. These supplementary events are designed for researchers interested in specific aspects of Digital Humanities or seeking practical information to enter or advance their knowledge in the field. The DHASA conference welcomes interdisciplinary contributions from researchers in various domains of Digital Humanities, including, but not limited to, language, literature, visual art, performance and theatre studies, media studies, music, history, sociology, psychology, language technologies, library studies, philosophy, methodologies, software and computation, and more. Our goal is to cultivate an inclusive scientific community of practice within Digital Humanities. Suggested topics include the following: * Digital archives and the preservation of marginalized voices; * Intersectionality and the digital humanities: exploring the intersections of race, gender, sexuality, and class in digital research and activism; * Activism and social change through digital media: how digital humanities tools and methodologies can be used to promote inclusion; * Engaging marginalized communities in the creation and use of digital tools and resources; * Exploring the role of digital humanities in decolonizing knowledge and promoting indigenous perspectives; * The ethics of data collection and analysis in digital humanities research related; * The role of digital humanities in promoting inclusive and equitable pedagogy; * Digital humanities and inclusion in the context of global perspectives and international collaborations; * Critical approaches to digital humanities and inclusion: examining the limitations and possibilities of digital tools and methodologies in promoting inclusion; and * Collaborative digital humanities projects with non-profit organizations, community groups, and cultural institutions; * Any other digital humanities-related topic that serves the Southern African community. Submission Guidelines The DHASA conference 2023 asks for three types of submissions: * Long papers: Authors may submit long papers consisting of a maximum of 8 content pages and unlimited pages for references and appendix. The final versions of accepted long papers will be granted an additional page (up to 9 pages) to incorporate reviewers' comments. * Short papers: Authors may submit short papers with a maximum of 5 content pages and unlimited pages for references and appendix. The final versions of accepted short papers will be allowed an extra page (up to 6 pages) to accommodate reviewers' comments. Short papers accepted for the conference will be presented as posters. * Abstracts: Authors can submit abstracts of 250-300 words. Note that before submitting your contribution, you are required to submit an abstract before the abstract submission deadline. This holds for *all* submissions. The actual submission will need to be submitted before the submission deadline. More information on the submission process can be found on the submission page: https://dh2023.digitalhumanities.org.za/submission/ We particularly encourage student submissions where the first author is a student. All accepted long and short paper submissions that are presented at the conference will be published in the Journal of Digital Humanities Association of Southern Africa, see https://upjournals.up.ac.za/index.php/dhasa. In addition, the abstracts of the full papers and the lightning talks will be published in a book of abstracts before the conference. Important dates Abstract submission deadline: 8 August 2023 Ful paper submission deadline: 15 August 2023 Date of notification: 30 September 2023 Camera-ready copy deadline: 6 November 2023 Conference: 27 November 2023 - 1 December 2023 Conference format: Face-to-face Conference venue: Nelson Mandela University, Eastern Cape South Africa NOTE: Non-presenting delegates have the option to attend online. Co-located events Several co-located events are currently being prepared. These will be updated on the conference website. Organizing Committee * Johannes Sibeko, Nelson Mandela University * Aby Louw, Council for Scientific and Industrial Research * Alan Murdoch, Nelson Mandela University * Amanda du Preez, University of Pretoria * Andiswa Bukula, South African Centre for Digital Language Resources * Andiswa Mvanyashe, Nelson Mandela University * Avashna Govender, Council for Scientific and Industrial Research * Gabby Dlamini, Nelson Mandela University * Ilana Wilken, Council for Scientific and Industrial Research * Jonathan van der Walt, Nelson Mandela University * Laurette Marais, Council for Scientific and Industrial Research * Mukhtar Raban, Nelson Mandela University * Nomfundo Khumalo, Nelson Mandela University * Menno Van Zaanen, South African Centre for Digital Language Resources -- 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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Research Associate for the project “Predicting COVID-19 Vaccination Uptake from Public Discourse”
by Robert Fuchs 26 Jul '23

26 Jul '23

Research Associate (English linguistics) for the project “Predicting COVID-19 Vaccination Uptake from Public Discourse” https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=7d287ef… Start date 01.10.2023 Application deadline 20.08.2023 The Department of English at the University of Hamburg is seeking a Research Associate to join a team of researchers working on an interdisciplinary project, funded through the Cross-Disciplinary Labs initiative, titled "Predicting COVID-19 Vaccination Uptake from Public Discourse: A Machine Learning Approach". In this project, we will explore the relationship between public discourse and COVID-19 vaccination uptake and how to use real world data from Germany and England to track public opinion on COVID-19 vaccination, with the ultimate aim of identifying strategies to increase the uptake of COVID-19 vaccinations. The analysis will apply big data and machine learning techniques to Twitter data and will link these to information on local vaccination rates. From a policy perspective, the output of this project will inform public health responses in real time in future pandemics. At the heart of the project is an interdisciplinary approach, combining health economics and linguistics with new methods from data science. The successful candidate will work under the supervision of Professor Robert Fuchs (English Linguistics) and will join a vibrant working group focused on research in the fields of data-intensive discourse analysis, varieties of English and Learner Corpus Research (see https://sites.google.com/view/rflinguistics/home). We offer flexible working arrangements, a supportive research environment and the opportunity for professional growth through skills development in cutting edge research methods in linguistics and data science. Specific duties of the Research Associate include the collection and analysis of Twitter data, the preparation and co-authorship of research publications and conference presentations, participation in international conferences as well as contributing to the strengthening of data science at the University of Hamburg through the Cross-Disciplinary Labs network. The position does not involve any teaching duties. The Research Associate is also encouraged to work towards a PhD, the topic of which should be broadly aligned with the Principal Investigator’s research interests, and may be, but does not need to be, connected to the project. Applicants need to be in possession of a Master’s degree (or equivalent) by the starting date of the position. Applications should include a cover letter explaining the candidate’s qualifications and interest in the position, a CV, copies of Bachelor’s and Master’s degree certificates (where applicable), a representative piece of writing (e.g. MA thesis, term paper) demonstrating the candidate’s skills in academic writing, data analysis and/or English linguistics , as well as a PhD proposal (optional, no more than five pages). Requirements A university degree in a relevant field. excellent proficiency in English excellent skills in academic writing experience with the statistical analysis of linguistic data (esp. with R and/or Python), the analysis of metaphorical language, corpus linguistics and/or discourse analysis are of advantage -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs | https://sites.google.com/view/rflinguistics/ Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/

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Call4Papers: GEM (Generation, Evaluation & Metrics Workshop) @ EMNLP 2023
by Kaustubh Dhole 26 Jul '23

26 Jul '23

Hello All, The Third Version of the Generation, Evaluation & Metrics (GEM) Workshop<https://gem-benchmark.com/> will be held as part of EMNLP<https://2023.emnlp.org/>, December 6-10, 2023, Singapore. The GEM workshop aims to encourage the development of model auditing & human evaluation strategies, and to popularize model evaluations in languages beyond English. We welcome submissions related, but not limited to, the following topics: * 💎 Automatic evaluation of generation systems (example<https://aclanthology.org/2021.gem-1.8/>, example<https://aclanthology.org/2021.gem-1.1/>, example<https://aclanthology.org/2022.gem-1.26/>) * 💎 Creating NLG corpora and challenge sets (example<https://aclanthology.org/2022.tacl-1.4/>, example<https://openreview.net/forum?id=CSi1eu_2q96>, example<https://aclanthology.org/2022.gem-1.6/>) * 💎 Critiques of benchmarking efforts and responsibly measuring progress in NLG (example<https://aclanthology.org/2020.emnlp-main.393/>, example<https://openreview.net/forum?id=j6NxpQbREA1>) * 💎 Effective and/or efficient NLG methods that can be applied to a wide range of languages and/or scenarios (example<https://aclanthology.org/2020.tacl-1.47/>, example<https://aclanthology.org/2021.gem-1.16/>, example<https://aclanthology.org/2022.gem-1.1/>) * 💎 Application and evaluation of generation models interacting with external data and tools (example<https://arxiv.org/abs/2302.04761>, example<https://arxiv.org/abs/2304.09842>, example<https://arxiv.org/abs/2302.07842>) * 💎 Sociotechnical perspectives of employing large language models (example<https://dl.acm.org/doi/abs/10.1145/3531146.3533088>) * 💎 Standardizing human evaluation and making it more robust (example<https://aclanthology.org/2021.tacl-1.87/>, example<https://aclanthology.org/2022.humeval-1.7/>, example<https://aclanthology.org/2022.gem-1.12/>) If you are interested, you can check out last year's workshop websites from ACL 2021<https://gem-benchmark.com/workshop/2021> and EMNLP 2022<https://gem-benchmark.com/workshop/2022>. Industrial Track - Unleashing the Power of NLP: Bridging the Gap between Academia and Industry GEM 2023 is proud to announce the launch of its Industrial Track, which aims to provide actionable insights to industry professionals and to foster collaborations between academia and industry. Shared Task We are organizing a shared task focused on multilingual summarization, including human and automatic evaluation. The Shared Task will be run "Backwards": the workshop will serve as a platform to pre-register your hypotheses. More info on how to participate to come! Important Dates Note: For any questions, please email gem-benchmark-chairs(a)googlegroups.com<mailto:gem-benchmark-chairs@googlegroups.com> Paper Submission Dates * 📅 8 September 2023: Workshop paper submission deadline * 📅 6 October 2023: Workshop paper notification deadline * 📅 18 October 2023: Workshop paper camera ready deadline Workshop Dates * 📅 December 2023 EMNLP Website: https://gem-benchmark.com/workshop Regards, Kaustubh Dhole Twiiter<https://twitter.com/KaustubhDhole> <http://in.linkedin.com/pub/kaustubh-dhol%C3%A9/2a/9b3/392>

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Deadline extension 15 August: Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs)
by amalhaddad＠ugr.es 26 Jul '23

26 Jul '23

The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs) Varna, 7th-8th September, 2023 In conjunction with RANLP 2023 – International Conference “Recent Advances in Natural Language Processing” Final call for papers Computational Terminology and new technologies applied to translation studies have attracted the interest of researchers with very different multidisciplinary backgrounds and motivations. Those fields cover a range of areas in Natural Language Processing (NLP) such as information retrieval, terminology extraction, question-answering systems, ontology building, machine translation, computer-aided translation, automatic or semi-automatic abstracting, text generation, etc. Terminological identification, extraction and coinage of new terms are essential for knowledge mining from texts, both in high and low resources languages. Quick evolutions and new developments in specialised domains require efficient and systematic automatic term management. New terms need to be coined and translated to ensure the equitable development of domains in all languages. During the last decade, deep learning and neural methods have become the state of the art for most NLP applications. Those applications were shown to outperform previous methods on various tasks, including automatic term extraction, language mining, assessment of quality in machine translation, accessibility of terminology, etc. On the one hand, NLP and computational linguistics try to improve the work of translators and interpreters by developing Computer-Assisted Translation (CAT) tools, Translation Memories (TMs), terminological databases and terminology extraction tools, etc. On the other hand, the NLP field still needs the efforts and knowledge of translators, interpreters and linguists to provide better services and tools based on the real necessities of those language professionals. The aim of this workshop is to promote new insights into the ongoing and forthcoming developments in computational terminology by bringing together NLP experts, as well as terminologists and translators. By uniting researchers with such diverse profiles, we hope to bridge some of the gaps between these disciplines and inspire a dialogue between various parties, thus paving the way to more artificial intelligence applications based on mutual collaboration between language and technology. Topics of Interest The ConTeNTs workshop invites the submission of papers reporting on original and unpublished research on topics related to Computational Terminology in NLP and Translation Studies, including but not limited to: - Automatic term extraction: monolingual and multilingual extraction of terms from parallel and comparable corpora, including single and multiword expressions; - Extraction and acquisition of semantic relations between terms; - Extraction and generation of domain specific definitions and disambiguation of terms; - Representation of terms, management of term variation and the discovery of synonym terms or term clusters and its relation to NLP applications; - Extraction of terminological context, through the use of comparable and parallel corpus; - Accessibility of terminology in certain domains, relevant to non-experts or to laypersons, and its relevance to NLP applications such as, chatbots, automatic email generation or spoken language interface; - The impact of terminology on MT (applying terminology constraints, evaluation of MT in domain-specific settings, etc.); - The creation of domain ontologies, thesaurus, terminological resources in specialised domains; - The use of new technologies in translation studies and research and the use of terminological resources in specialised translation; - Identification of key problems in terminology and new technologies used in translation studies; - Evaluation of terminological resources in various NLP applications and the impact of these resources have on the performance of the automatic systems; - Emerging language technologies: how the increased reliance on real-time language technologies would change the structure of language; - Corpus based studies applied to translation and interpreting: the use of parallel and comparable corpora for translating phraseological units; - Phraseology and multiword expressions in cross-linguistic studies; - Translation and interpreting tools, such as translation memories, machine translation and alignment tools; - User requirements for interpreting and translation tools. Submission Guidelines Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as ConTeNTs workshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions Link to START system: https://softconf.com/ranlp23/ConTeNTS Website of the workshop: https://contents2023.kulak.kuleuven.be/ Should you require any assistance with the submission, please do not hesitate to contact us at amalhaddad(a)ugr.es and ayla.rigoutsterryn(a)kuleuven.be. Important Dates Deadline for paper submission: 15 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 ConTeNTs workshop: 7/8 September 2023 Workshop Chairs & Organising Committee Ayla Rigouts Terryn, Katholieke Universiteit Leuven, Belgium Amal Haddad Haddad, Universidad de Granada, Spain Ruslan Mitkov, University of Wolverhampton, United Kingdom Programme Committee - Sophia Ananiadou (University of Manchester) - Maria Andreeva Todorova (Bulgarian Academy of Sciences) - Silvia Bernardini (University of Bologna) - Melania Cabezas García (Universidad de Granada) - Rute Costa (Universidade Nova de Lisboa) - Esther Castillo Pérez (Universidad de Granada) - Patrick Drouin (Université de Montréal) - Pamela Faber (Universidad de Granada) - Mercedes García de Quesada (Universidad de Granada) - Dagmar Gromann (Centre for Translation Studies – University of Vienna) - Tran Thi Hong Hanh (L3i Laboratory, University of La Rochelle) - Rejwanul Haque (National College of Ireland) - Amir Hazem (Nantes University) - Kyo Kageura (University of Tokyo) - Barbara Karsch (BIK Terminology – USA) - Dorothy Kenny (Dublin City University) - Miloš Jakubíček (Sketch Engine) - Hendrik Kockaert (KU Leuven) - Philipp Koehn (Johns Hopkins University) - Maria Kunilovskaya (Saarland University) - Marie-Claude L’Homme (Université de Montréal) - Hélène Ledouble (Université de Toulon) - Pilar León-Araúz (Universidad de Granada) - Rodolfo Maslias (former Head of TermCoord, European Parliament) - Silvia Montero Martínez (Universidad de Granada) - Emmanuel Morin (LS2N-TALN) - Rogelio Nazar (Pontificia Universidad Católica de Valparaíso) - Sandrine Peraldi (University College Dublin) - Silvia Piccini (Italian National Research Council) - Thierry Poibeau (CNRS) - Senja Pollak (Jožef Stefan Institute) - Maria Pozzi Pardo (El Colegio de México) - Tharindu Ranasinghe (Aston University) - Arianne Reimerink (Universidad de Granada) - Andres Repar (Jožef Stefan Institute) - Christophe Roche (Université Savoie Mont-Blanc) - Antonio San Martín Pizarro (Université du Québec à Trois-Rivières) - Beatriz Sánchez Cárdenas (Universidad de Granada) - Vilelmini Sosoni (Ionian University) - Irena Spasic (Cardiff University) - Elena Isabelle Tamba (Romanian Academy, Iași Branch) - Rita Temmerman (Vrije Universiteit Brussel) - Jorge Vivaldi Palatresi (Universitat Pompeu Fabra)

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International workshop NLP for translation and interpreting applications (NLP4TIA)-Last Call for Papers
by Nanomi Arachchige, Isuri 26 Jul '23

26 Jul '23

International workshop NLP for translation and interpreting applications (NLP4TIA) Varna, Bulgaria, 8 September 2023 https://nlp4tia.web.uah.es/ Last Call for Papers ***Extended deadline: 10 August 2023*** In the last two decades, we have been able to witness a technological turn in translation and interpreting studies with Natural Language Processing (NLP) and deep learning playing more and more prominent part. There is already a growing number of NLP applications that are used to support the work of translators and interpreters. In addition, the recent advances in (and latest models of) deep learning have powered the further development and success of high performing Neural Machine Translation (NMT) systems. Translation technology has revolutionised the translation profession and nowadays most professional translators employ tools such as translation memory (TM) systems in their daily work. Latest advances of Neural Machine Translation (NMT) have resulted in NMT not only becoming an integral part of most state-of-the art TM tools but also typical for the translation workflow of many companies, organisations and freelance translators. Although translation has benefited more from technological advances, interpreting has also experienced a technological turn. However, it has not been until some years ago that soft technology has permeated interpreting practice and research. Computer assisted translation, MT and NLP tools have been adapted to be used by interpreters. In addition, corpus-based studies have also underpinned dialogue interpreting. The increasing interest in NLP, MT and the automation of processes has brought us to multidisciplinary projects that deal with the development of models for automated oral communication. Machine interpreting has already been developed and is being improved, focusing on speed and accuracy matters. Either domain-specific (commercial, military, humanitarian) or general (Skype Translator), there is still a long way to go to render machine interpreting more human-like. Many of the above recent developments have to do with the employment of Natural Language Processing tools and resources to support the work of translators and interpreters. This workshop is expected to discuss the growing importance of NLP in different translation and interpreting scenarios. Workshop topics The workshop invites submissions reporting original unpublished work on topics including but not limited to: * NLP and MT for under-resourced languages; * Translation Memory systems; * NLP and MT for translation memory systems; * NLP for CAT and CAI tools; * Integration of NLP tools in remote interpreting platforms; * NLP for dialogue interpreting; * Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services); * Corpus-based studies applied to translation and interpreting.; * Machine translation and machine interpreting; * Resources for translation and machine translation; * Resources for interpreting and interpreting technology application; * Quality estimation of human and machine translation; * Post-editing strategies and tools; * Automatic post-editing of MT; * NLP and MT for subtitling. * Technology acceptance by interpreters and translations; * Machine Translation and translation tools for literary texts; * Evaluation of machine translation and translation and interpreting tools in general; * The impact of the technological turn in translation and interpreting; * Cognitive effort and eye-tracking experiments in translation and interpreting; * Development of models for research and practice of translation and interpreting; * Multidisciplinary cooperation in NLP applied to translation and interpreting. Submissions and publication Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as NLP4TIA workshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English and should be submitted via the conference management system START using this link<https://softconf.com/ranlp23/NLP4TIA/>. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions should be compliant with the below templates and should be uploaded as pdf files in START (START is configured to accept pdf files only). The following templates should be used: LaTeX at Overleaf<https://www.overleaf.com/latex/templates/instructions-for-ranlp-2023-procee…>, LaTeX<http://ranlp.org/ranlp2023/Templates/ranlp2023-LaTeX.zip> , MS Office<http://ranlp.org/ranlp2023/Templates/ranlp2023-word.docx> Important dates Deadline for paper submission: 23 July 2023 Deadline for paper submission (extended): 10 August 2023 Acceptance notification: 20 August 2023 Final camera-ready version: 30 August 2023 Workshop camera-ready proceedings ready: 3 September 2023 NLP4TIA workshop: 8 September 2023 Workshop Chairs Raquel Lázaro Gutiérrez (Universidad de Alcalá) Antonio Pareja Lora (Universidad de Alcalá) Ruslan Mitkov (Lancaster University) Programme Committee Cristina Aranda (Big Onion) Juanjo Arevalillo (Hermes Traducciones) Silvia Bernardini (University of Bologna) Gabriel Cabrera Méndez (Dualia Teletraducciones) Matt Coler (University of Groningen) Gloria Corpas Pastor (University of Malaga) Elena Davitti (University of Surrey) Joanna Drugan (Heriot-Watt University) Marie Escribe (LanguageWire) Claudio Fantinuoli (Mainz University/KUDO Inc) Antonio García Cabot (Universidad de Alcalá) Adriana Jaime Pérez (Migralingua Voze) Miguel Ángel Jiménez Crespo (Rutgers University) Óscar Luis Jiménez Serrano (University of Granada) Koen Kerremans (Free University Brussel) Maria Kunilovskaya (Saarland University) Els Lefever (Ghent University) Pilar León Arauz (University of Granada) Johanna Monti (University of Naples L'Orientale) Elena Montiel Ponsoda (Polytechnic University of Madrid) Helena Moriz (University of Lisbon) Elena Murgolo (Orbital 14) Dora Murgu (Interprefy) Constantin Orasan (University of Surrey) María Teresa Ortego Antón (University of Valladolid) Tharindu Ranasinghe (Aston University) Celia Rico (Universidad Complutense de Madrid) Caroline Rossi (University Grenoble les Alpes) María del Mar Sánchez Ramos (Universidad de Alcalá) Miriam Seghiri (University of Malaga) Vilelmini Sosoni (Ionian University) Rui Manuel Sousa Silva (University of Porto) Nicoletta Spinolo (University of Bologna) Venue The workshop will take place at hotel Cherno More<https://www.chernomorebg.com/en/> in Varna. Further information and contact details Registration for NLP4TIA is now open and is done via the RANLP main conference page. To register, please complete the registration form<https://url6.mailanyone.net/scanner?m=1pii0v-000B6E-3x&d=4%7Cmail%2F14%2F16…>. The conference website (https://nlp4tia.web.uah.es/) will be updated on a regular basis. For further information, please email raquel.lazaro(a)uah.es<mailto:raquel.lazaro@uah.es>.

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Deep Learning Summer School at RANLP 2023 - Call for participation
by Nanomi Arachchige, Isuri 26 Jul '23

26 Jul '23

DLinNLP 2023 - Deep Learning Summer School at RANLP 2023 Call for Participation Varna, Bulgaria 30th August - 1st September https://dlinnlp2023.github.io/ We invite everyone interested in Machine Learning and Natural Language Processing to attend the Deep Learning Summer School at 14th biennial RANLP conference (RANLP 2023). Purpose: Deep Learning is a branch of machine learning that has gained significant traction in the field of Artificial Intelligence, pushing the envelope in the state-of-the-art, with many sub-areas including natural language, image, and speech processing employing it widely in their best-performing models. This summer school will feature presentations from outstanding researchers in the field of Natural Language Processing (NLP) and Deep Learning. These will include coverage of recent advances in theoretical foundations and extensive practical coding sessions showcasing the latest relevant technology. The summer school would be of interest to novices and established practitioners in the fields of NLP, corpus linguistics, language technologies, and similar related areas. Important Dates: 30 August - 1 September: Deep Learning Summer School in NLP Lectures: * Lucas Beyer (Google Brain) * Tharindu Ranasinghe (Aston University, UK) * Iacer Calixto (University of Amsterdam, Holland) Practical Sessions: * Damith Premasiri (practical sessions) (University of Wolverhampton, UK) * Isuri Anuradha (practical sessions) (University of Wolverhampton, UK) * Anthony Hughes (practical sessions) (University of Wolverhampton, UK) Registration: **** Registration is now open: ****** https://ranlp.org/ranlp2023/index.php/fees-registration/ Programme: Please refer to the website for the details of the programme: https://dlinnlp2023.github.io/#programme Contact Email: dlinnlp2023(a)gmail.com<mailto:dlinnlp2023@gmail.com>

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IWSLT 2024 - Call for the Shared Tasks
by Atul K. Ojha 26 Jul '23

26 Jul '23

Apologies for cross-posting. ---------------------------------------- The International Conference on Spoken Language Translation (IWSLT) <https://iwslt.org/>is the premier annual conference for all aspects of Spoken Language Translation. Every year, the conference organizes and sponsors open evaluation campaigns around key challenges in simultaneous and consecutive translation, under real-time/low latency or offline conditions, and for a variety of languages in under-resourced or multilingual conditions. System descriptions and results from participants’ systems and scientific papers related to key algorithmic advances and best practices are presented. IWSLT is the venue of the SIGSLT, the Special Interest Group on Spoken Language Translation of ACL, ISCA, and ELRA. With a track record of 20 years, IWSLT benchmarks and proceedings serve as a reference for all researchers and practitioners working on speech translation and related fields. 2024 will mark IWSLT’s 21st edition. There are many challenges in speech translation that have not yet been addressed, among them, we are really interested in topics related to new application scenarios (e.g. meetings, subtitling, dubbing), specific aspects (e.g. names, accents), different styles, multilingually, discourse and summarization, multimodal and multi-party speech translation or many other ideas that researchers have not yet focused on. Therefore, we invite *proposals for shared tasks. *For more details about this initiative, please refer to https://iwslt.org/assets/pdfs/IWSLT2024-Call_for_Tasks.pdf If you want to propose a new task to encourage researchers around the world to work on particular timely challenges in SLT, please fill out the following form <https://iwslt.org/assets/pdfs/IWSLT2024-Call_for_Tasks.pdf>and *send it to <https://groups.google.com/>*iwslt-organizers(a)googlegroups.com * by August 31st, 2023.* Best, Marine, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul IWSLT Organisers

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Any Europarl Corpus update?
by alexandr.rosen＠ff.cuni.cz 26 Jul '23

26 Jul '23

Dear All, I'm wondering if there is a more recent version of the "European Parliament Proceedings Parallel Corpus 1996-2011" (https://www.statmt.org/europarl/). Alternatively, any experience downloading the EP proceedings using https://data.europarl.europa.eu/en/developer-corner/opendata-api would be welcome. Thanks! Alexandr

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Funded PhD Natural language processing of electronic health records to improve empirical prescribing in acute admissions
by Mark Lee 26 Jul '23

26 Jul '23

Application Deadline: 30 August 2023 Details This project has a specific focus in managing the single greatest threat to global health, the increasing burden from infections caused by bacteria that are resistant to antibiotics (antimicrobial resistance, AMR). Doctors (humans) can’t reliably know which antibiotic to administer in an emergency. In fact, based on our earlier research they get it wrong about 20% of the time. A serious bacterial infection will look the same whether the bacteria causing the infection are resistant to certain antibiotics or not, and the first antibiotic must be selected on very limited information and be given the first hour of admission to hospital if there is a risk they have developed an infection that is spreading through their body. Understandably, this ‘high stakes’ uncertainty promotes the use of ‘broad-spectrum’ antibiotics which should be held in reserve for known drug-resistant infections. Natural language processing (NLP) has the potential to safely unlock successful antimicrobial stewardship for AMR at the first dose. In earlier work, we used quantitative and categorical data from electronic health records (EHRs) from patients who needed emergency hospital admission to see which antibiotics were given in the emergency room, how often a patient was prescribed an antibiotic that their bacterial infection was resistant to (under-prescribing), and how often a broad-spectrum antibiotic was used when another antibiotic alternative would have been equally effective (over-prescribing). We trained a machine learning algorithm that was allowed to under-prescribe at the same rate as doctors (about 20% of the time), that could also reduce the use of broad-spectrum antibiotics by about 40% by anticipation of which patients were unlikely to have an AMR infection. This powerful proof-of-concept work shows the huge potential for AI in personalised medicine and antimicrobial stewardship at the first and most important dose. Taking the next steps in AI for AMR. We know that a lot of important information is held in free text clinician notes that aren’t reflected in the data we used to build the model, and want to understand what valuable information contained in the free text data would help improve prediction accuracy. This project aims to analyse free-text clinician notes to retrieve valuable information that can improve the prescribing of antibiotics by more accurately predicting an individual patient’s risk of having an antibiotic-resistant infection. We are seeking a motivated student to undertake a 4 year funded PhD, in collaboration with Shionogi, a pharmaceutical company with offices in London. Eligiblity The successful candidate will hold a bachelor’s degree (or above) in Computer Science, Physics, Mathematics, Psychology or related discipline and have proven experience in computational linguistics, natural language processing, machine learning. Previous experience of applying AI methods to the medical domain is a strong advantage. Furthermore, the candidate will have strong programming skills, expertise in machine learning approaches and be excited be the challenges of interdisciplinary research between medicine and computer science. We want our PhD student cohorts to reflect our diverse society. UoB is therefore committed to widening the diversity of our PhD student cohorts. UoB studentships are open to all and we particularly welcome applications from under-represented groups, including, but not limited to BAME, disabled and neuro-diverse candidates. We also welcome applications for part-time study. The University of Birmingham works closely with University Hospitals Birmingham NHS Foundation Trust (UHB), which is the single-largest Acute NHS Trust in the UK, and serves the healthcare needs of over 1.2m people in the second-largest city in the UK. PIONEER, the Health Data Research Hub for Acute Care, alone includes >1.2m patient episodes per year with >10yrs longitudinal health data. This experienced collaboration means we are uniquely positioned to develop, model and then later embed AI-supported antimicrobial stewardship within a clinical trial and electronic prescribing systems. The student will be located at the Institute of Microbiology and Infection (IMI) of the University of Birmingham, the largest academic research institute in the field of microbiology and infectious diseases in the United Kingdom. The IMI is part of the School of Medical and Dental Sciences, defining the future of health and medicine through the provision of innovative education and exceptional research. Throughout the PhD project, regular meetings with industry partner colleagues at Shionogi will be held to monitor progression and support the student in their research. About Shionogi Established in Japan 140 years ago, Shionogi has a history of drug discovery and scientific rigour in addressing some of the toughest challenges in healthcare. Shionogi’s work in antimicrobial resistance (AMR) is a key part of our contribution to the UN Sustainable Development Goals (SDGs) - we invest the highest proportion of our pharmaceutical revenues in relevant anti-infectives R&D compared to other large pharmaceutical companies. Shionogi announced the first-ever licence agreement for an antibiotic to treat serious bacterial infections between a pharmaceutical company and a non-profit organisation driven by public health priorities. Working with the Global Antibiotic Research and Development Partnership (GARDP) and the Clinton Health Access Initiative (CHAI), the agreement aims to provide 135 countries with access. At Shionogi, our belief is that sustainable growth hinges not only on new drug creation, but also on consolidating our strengths in areas of strategic focus. Through external partnerships, we seek to bring benefits to more patients through collaboration in areas where it would be difficult for us to go it alone. Globally, the number of our partners, including partnerships across a range of industries, including academia, enables us to accelerate innovation to better help societies manage some of the most important public health threats and to take on areas where the unmet clinical need is greatest. Funding Notes The position offered is for three and a half years full-time study. The current (2023-24) value of the award is stipend; £18,622 pa; tuition fee: £4,712 pa. Awards are usually incremented on 1 October each following year. The package includes a Macbook Air and funding for additional training and conference attendance. References Moran E, Robinson E, Green C, Keeling M, Collyer B. Towards personalized guidelines: using machine-learning algorithms to guide antimicrobial selection. J Antimicrob Chemother. 2020. doi:10.1093/jac/dkaa222 Cavallaro M, Moran E, Collyer B, McCarthy ND, Green C, Keeling MJ. Informing antimicrobial stewardship with explainable AI. bioRxiv. 2022. doi:10.1101/2022.08.12.22278678 https://www.findaphd.com/phds/project/natural-language-processing-of-electr… With best regards, Mark Lee Professor of Artificial Intelligence School of Computer Science University of Birmingham www.cs.bham.ac.uk/~mgl<http://www.cs.bham.ac.uk/~mgl>

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HASOC 2023 tasks - Call for Participation - Hate Speech and Offensive Content Identification
by Thomas Mandl 26 Jul '23

26 Jul '23

15th meeting of /Forum for Information Retrieval Evaluation* HASOC-2023*/ We are excited to announce the 5th edition of HASOC, consisting of four interesting shared tasks. We invite you to participate. *Task 1 focus on identifying hate speech, offensive language, and profanity in different languages using natural language processing techniques.* * Task 1A deals with identifying hate and offensive content in Sinhala, a low-resource Indo-Aryan language spoken in Sri Lanka. The task involves classifying tweets into Hate and Offensive (HOF) or Non-Hate and Offensive (NOT). The dataset for this task is based on the Sinhala Offensive Language Detection dataset. * Task 1B focuses on identifying hate and offensive content in Gujarati, another low-resource Indo-Aryan language spoken by approximately 50 million people in India. Similarly, participants need to classify tweets into HOF or NOT categories. The training set for this task consists of around 200 tweets. For more details, please visit task 1 page <https://hasocfire.github.io/hasoc/2023/task1.html>. *Task 2, Identification of Conversational Hate-Speech in Code-Mixed Languages (ICHCL), addresses the challenge of identifying hate speech and offensive content in code-mixed conversations on social media. Code-mixed text includes multiple languages within a single conversation. The task is divided into two subtasks.* * In Task 2a, participants need to perform binary classification on conversational tweets with tree-structured data. They must determine whether a tweet, comment, or reply contains hate speech, offensive language, or profanity (HOF) or is non-hate and offensive (NOT). The classification should consider both the individual content and support for hate expressed in the parent tweet. * Task 2b involves the classification of conversational tweets with tree-structured data into specific forms of hate. Participants must identify if the tweet, comment, or reply contains standalone hate (SHOF), contextual hate (CHOF) that supports hate expressed in the parent, or if it is non-hate (NONE). For more details, please visit Task 2 webpage. <https://hasocfire.github.io/hasoc/2023/ichcl.html> *Task 3 aims to detect hateful spans within a sentence already considered hateful. A hate span is a set of continuous tokens that, in tandem, communicate the explicit hatefulness in a sentence.* * For instance, in the statement, "Women ... Can't live with them... Can't shoot them," the portion highlighted in bold will be considered a hateful span. This shared task aims to extract all such spans from a hateful text. * The input texts are all in English. The detection of hateful spans is achieved by mapping this into a sequence labeling problem. For every token of the sequences, we have manually annotated the start and end of a hateful span. This is achieved by the BIO notation tagging, where B' represents the beginning of the hate span,' I' forms the continuation of a hate span, and' O' represents the non-hate tag. The task is then to learn the correct sequence of the BIO tags for a given sentence. For example, in the above sentence, the tag sequence for the preprocessed sentence will be of the form "women can't live with them can't shoot them" → "O O O O O B I I"; "I" notation cannot exist on its own and will always be preceded by either an "I" or "B". Consequently, a “B” notation can be immediately followed by an “O” in case the span is just a single word. For more details, please visit Task 3 webpage. <https://lcs2.in/hatenorm-2023/> *Task 4 aims to detect hate speech in Bengali, Bodo, and Assamese languages. It is a binary classification task. Each dataset (for the three languages) consists of a list of sentences with their corresponding class (hate or offensive (HOF) or not hate (NOT)). Data is primarily collected from Twitter, Facebook, and Youtube comments. * The Macro F1 score will be the yardstick of the task. Team rank will be determined based on the Macro F1 score of the first part. For more details, please visit Task 4 webpage. <https://sites.google.com/view/hasoc-2023-annihilate-hates/home> Registration for all four tasks is open on our registration page. <https://hasocfire.github.io/hasoc/2023/registration.html> We believe that your expertise and contribution will be invaluable in advancing the state-of-the-art hate speech classification. We encourage you to participate in this exciting shared task and contribute to the research community. Regards, HASOC organizing team

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NLP post at City, University of London
by angus.roberts＠kcl.ac.uk 26 Jul '23

26 Jul '23

Hi everyone City, University of London are looking for postdoc NLP research fellow to work on the VISION - Violence, Health and Society project, to develop methods for extraction of information on violence from public sector records. Details below. Please circulate to anyone you think might be interested. https://www.city.ac.uk/about/jobs/apply/details.html?nPostingId=1579&nPosti… best wishes -- Angus

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CFP - SIMBig 2023 in Mexico - Extended Deadline
by Juan Antonio Lossio-Ventura 26 Jul '23

26 Jul '23

> [Apologies for cross-posting] > ====================================================================== > EXTENDED DEADLINE TO **JULY 31** > ====================================================================== > > SIMBig 2023 - 10th International Conference on Information Management and Big Data > Where: Instituto Politécnico Nacional, Mexico DF, MEXICO > When: October 18 - 20, 2023 > Website: https://simbig.org/SIMBig2023/ > > ====================================================================== > > OVERVIEW > ---------------------------------- > > SIMBig 2023 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS (to be confirmed) > ---------------------------------- > Mona Diab, Meta AI, USA Huan Liu, Arizona State University, USA > > and more to be announced soon... > > IMPORTANT DATES > ---------------------------------- > > July 24, 2023 July 31, 2023 --> Full papers and short papers due > August 28, 2023 --> Notification of acceptance > September 10, 2023 --> Camera-ready versions > October 18 - 20, 2023 --> Conference held in Mexico DF, Mexico > > PUBLICATION > ---------------------------------- > > All accepted papers of SIMBig 2023 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899> (to be confirmed). > > Best papers of SIMBig 2023 (tracks including) will be selected to submit an extension to be published in the Springer SN Computer Science Journal. <https://www.springer.com/journal/42979> > TOPICS OF INTEREST > ---------------------------------- > > SIMBig 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Big/Masive Data > Data Science > Machine Learning > Deep Learning > Natural Language Processing > Semantic Web > Data-driven Software Engineering > Data-driven software adaptation > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > OLAP and Business intelligence > Crowdsourcing > > SPECIAL TRACKS > ---------------------------------- > > SIMBig 2023 proposes six special tracks in addition to the main conference: > > ANLP <https://simbig.org/SIMBig2023/en/anlp.html> - Applied Natural Language Processing > DISE <https://simbig.org/SIMBig2023/en/dise.html> - Data-Driven Software Engineering > EE-AI-HPC <https://simbig.org/SIMBig2023/en/eeaihpc.html> - Efficiency Enhancement for AI and High-Performance Computing > SNMAM <https://simbig.org/SIMBig2023/en/snmam.html> - Social Network and Media Analysis and Mining > > CONTACT > ---------------------------------- > > SIMBig 2023 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>)

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HASOC 2023 tasks - Call for Participation - Hate Speech and Offensive Content Identification
by Dola Mullage, Damith P. 25 Jul '23

25 Jul '23

15th meeting of Forum for Information Retrieval Evaluation HASOC-2023 We are excited to announce the 5th edition of HASOC, consisting of four interesting shared tasks. We invite you to participate. Task 1 focuses on identifying hate speech, offensive language, and profanity in different languages using natural language processing techniques. * Task 1A is identifying hate and offensive content in Sinhala, a low-resource Indo-Aryan language spoken mainly in Sri Lanka. The task involves classifying tweets into Hate and Offensive (HOF) or Non-Hate and Offensive (NOT). The training set for this task is based on the Sinhala Offensive Language Detection dataset, which contains 10,000 tweets. * Task 1B focuses on identifying hate and offensive content in Gujarati, another low-resource Indo-Aryan language spoken by approximately 50 million people in India. Similarly, participants need to classify tweets into HOF or NOT categories. The training set for this task consists of around 200 tweets. For more details, please visit task 1 page<https://url6.mailanyone.net/scanner?m=1qOOEH-000CON-4S&d=4%7Cmail%2F14%2F16…>. Task 2, Identification of Conversational Hate-Speech in Code-Mixed Languages (ICHCL), addresses the challenge of identifying hate speech and offensive content in code-mixed conversations on social media. Code-mixed text includes multiple languages within a single conversation. The task is divided into two subtasks. * In Task 2a, participants need to perform binary classification on conversational tweets with tree-structured data. They must determine whether a tweet, comment, or reply contains hate speech, offensive language, or profanity (HOF) or is non-hate and offensive (NOT). The classification should consider both the individual content and support for hate expressed in the parent tweet. * Task 2b involves the classification of conversational tweets with tree-structured data into specific forms of hate. Participants must identify if the tweet, comment, or reply contains standalone hate (SHOF), contextual hate (CHOF) that supports hate expressed in the parent, or if it is non-hate (NONE). For more details, please visit Task 2 webpage.<https://url6.mailanyone.net/scanner?m=1qOOEH-000CON-4S&d=4%7Cmail%2F14%2F16…> Task 3 aims to detect hateful spans within a sentence already considered hateful. A hate span is a set of continuous tokens that, in tandem, communicate the explicit hatefulness in a sentence. * For instance, in the statement, "Women ... Can't live with them... Can't shoot them," the portion highlighted in bold will be considered a hateful span. This shared task aims to extract all such spans from a hateful text. * The input texts are all in English. The detection of hateful spans is achieved by mapping this into a sequence labeling problem. For every token of the sequences, we have manually annotated the start and end of a hateful span. This is achieved by the BIO notation tagging, where B' represents the beginning of the hate span,' I' forms the continuation of a hate span, and' O' represents the non-hate tag. The task is then to learn the correct sequence of the BIO tags for a given sentence. For example, in the above sentence, the tag sequence for the preprocessed sentence will be of the form "women can't live with them can't shoot them" → "O O O O O B I I"; "I" notation cannot exist on its own and will always be preceded by either an "I" or "B". Consequently, a “B” notation can be immediately followed by an “O” in case the span is just a single word. For more details, please visit Task 3 webpage.<https://url6.mailanyone.net/scanner?m=1qOOEH-000CON-4S&d=4%7Cmail%2F14%2F16…> Task 4 aims to detect hate speech in Bengali, Bodo, and Assamese languages. It is a binary classification task. Each dataset (for the three languages) consists of a list of sentences with their corresponding class (hate or offensive (HOF) or not hate (NOT)). Data is primarily collected from Twitter, Facebook, and Youtube comments. The Macro F1 score will be the yardstick of the task. Team rank will be determined based on the Macro F1 score of the first part. For more details, please visit Task 4 webpage.<https://url6.mailanyone.net/scanner?m=1qOOEH-000CON-4S&d=4%7Cmail%2F14%2F16…> Registration for all four tasks is open on our registration page.<https://url6.mailanyone.net/scanner?m=1qOOEH-000CON-4S&d=4%7Cmail%2F14%2F16…> We believe that your expertise and contribution will be invaluable in advancing the state-of-the-art hate speech classification. We encourage you to participate in this exciting shared task and contribute to the research community. Regards, HASOC organizing team

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Call For Participation: Machine Translation for Indian Languages (MTIL)
by Surupendu Gangopadhyay 25 Jul '23

25 Jul '23

Apologies for multiple posting *********************************** *------------------------------------------------------------------------------------------------Machine Translation for Indian Languages (MTIL) 2023------------------------------------------------------------------------------------------------* We invite all IR and NLP researchers and enthusiasts to participate in the MTIL track (https://mtilfire.github.io/mtil/2023/) held in conjunction with the Forum for Information Retrieval Evaluation (FIRE) 2023 ( http://fire.irsi.res.in/). Indian languages have many linguistic complexities. Though some Indian languages share syntactic similarities, some possess intricate morphological structures. At the same time, some Indian languages are low-resource. Therefore the machine translation models should address these unique challenges in translating between Indian languages. The MTIL track consists of two tasks: 1. *General Translation Task (Task 1):* Task participants should build a machine translation model to translate sentences of the following language pairs: 1. Hindi-Gujarati 2. Hindi-Kannada 3. Kannada-Hindi 4. Hindi-Odia 5. Odia-Hindi 6. Hindi-Punjabi 7. Punjabi-Hindi 8. Hindi-Sindhi 9. Urdu-Kashmiri 10. Telugu-Hindi 11. Hindi-Telugu 12. Urdu-Hindi 13. Hindi-Urdu 2. *Domain Specific Translation Task (Task 2)*: Task participants will build machine translation models for Governance and Healthcare domains. 1. Healthcare: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi 2. Governance: a. Hindi-Gujarati b. Kannada-Hindi c. Hindi-Odia d. Odia-Hindi e. Hindi-Punjabi f. Kannada-Hindi *Dataset:* The primary source of parallel language pairs is Bharat Parallel Corpus Collection (BPCC), released by AI4Bharat (https://ai4bharat.iitm.ac.in/bpcc ). Participants are encouraged to add datasets of their choice, including parallel corpora and monolingual datasets, to train their models. More information on registration and participation in the track can be found here: https://mtilfire.github.io/mtil/2023/ This track is being done in association with BHASHINI ( https://bhashini.gov.in/) *Organisers* - Prasenjit Majumder, DAIICT Gandhinagar,India and TCG CREST, Kolkata,India - Arafat Ahsan, IIIT-Hyderabad,India - Asif Ekbal, IIT-Patna,India - Saran Pandian, DAIICT Gandhinagar,India - Ramakrishna Appicharla, IIT-Patna ,India - Surupendu Gangopadhyay, DAIICT Gandhinagar,India - Ganesh Epili, DAIICT Gandhinagar,India - Dreamy Pujara, DAIICT Gandhinagar,India - Misha Patel, DAIICT Gandhinagar,India - Aayushi Patel, DAIICT Gandhinagar,India - Bhargav Dave, DAIICT Gandhinagar,India - Mukesh Jha, DAIICT Gandhinagar,India

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2-years Postdoc position in NLP at Bocconi University (Italy)
by debora.nozza＠unibocconi.it 24 Jul '23

24 Jul '23

We are seeking a highly motivated and talented individual to join our research team as a Postdoctoral Researcher in the field of Natural Language Processing. The position offers an exciting opportunity to investigate the computational and algorithmic aspects underlying modern Artificial Intelligence systems, with a specific focus on the algorithmic and application aspects of NLP-based technologies. Successful candidates will work closely with Prof. Debora Nozza, Prof. Dirk Hovy, and the MilaNLP lab. Your profile: - a Ph.D. in Computer Science, Computational Linguistics/NLP, Machine Learning, Data Science, or related fields. - Excellent programming skills in Python. - Fluency in spoken and written English. Knowledge of Italian is NOT a requirement. - Knowledge of current neural network models and implementation tools for neural networks (e.g., PyTorch). - Experience with publications in top-tier venues in the field of NLP/Computational Linguistics. Position Details: - Starting date: Oct 1 2023, or any time thereafter - Duration: 2 years - Deadline: 1st September 2023 - Competitive Salary: Applicants from outside Italy may qualify for a researcher taxation scheme How to apply: Go to the Bocconi postdoc job market page https://jobmarket.unibocconi.eu/?type=a&urlBack=/wps/wcm/connect/Bocconi/Si… and search for “Natural language processing”, where you can also find the official job description. Candidates should attach publications and a cover letter to their application. Online interviews will take place during September 2023. Please contact debora.nozza(at)unibocconi.it if you have any questions.

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Post doc Position in Corpus Linguistics or NLP at TurkuNLP
by Veronika Laippala 24 Jul '23

24 Jul '23

Dear colleagues, Our research group TurkuNLP at the University of Turku, Finland, has an opening for *a post doc position in corpus linguistics or NLP.*. The position is part of the research project "Massively Multilingual Modeling of Registers in Web-Scale Data," (MMMReg) which is funded by the Academy of Finland. The project aims to explore language use in the digital world at a massively multilingual scale using neural networks. The specific focus of the project is on web registers, such as news, blogs, and how-to pages. The primary goals of the project are to analyze the linguistic characteristics of web registers across languages and to develop machine learning methods for modeling registers in large web datasets at a massively multilingual scale. The position is for one year, starting on September 1, 2023. The closing date for the applications is August 7, 2023 (UTC+3) For more information on the position, please visit https://www.utu.fi/en/university/come-work-with-us/open-vacancies Do not hesitate to get in touch if you have any questions! Best regards, Veronika Laippala TurkuNLP, University of Turku, Finland

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3rd Workshop DL4LD: Addressing Deep Learning, Relation Extraction, and Linguistic Data
by Radovan Garabik 23 Jul '23

23 Jul '23

Third Workshop DL4LD 2023 Deep learning for linguistic linked data: Addressing Deep Learning, Relation Extraction, and Linguistic Data with a Case Study on The Bigger Analogy Test Set (BATS) https://vecto.space/projects/BATS/ Venue: Vienna, Austria, University of Vienna & online Website: http://dl4ld2023.mruni.eu/ Date: 13 September 2023 The Cost Action CA18209 NexusLinguarum ( https://nexuslinguarum.eu ) invites you to attend the Third Workshop Deep Learning for Linguistic Linked Data: Addressing Deep Learning, Relation Extraction, and Linguistic Data with a Case Study on The Bigger Analogy Test Set (BATS) – DL4LD 2023, organized as part of LDK 2023 ( http://2023.ldk-conf.org ). We are glad to announce that the program features one keynote, Assistant Professor Michael Cochez, and seven oral presentations. DL4LD 2023 will be a hybrid event (in-person and online) open to anyone interested in the topic. Online participation is still possible but requires prior registration. The registration form ( https://ldk-registration.univie.ac.at ) for online participation will be open until 3rd September 2023. We are very much looking forward to seeing you in Vienna or online. Program available here: http://dl4ld2023.mruni.eu/?page_id=323

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Joint Call for Tutorial Proposals - EACL/NAACL/ACL/EMNLP 2024
by Yuval Pinter 23 Jul '23

23 Jul '23

The European Chapter of the ACL (EACL), the North American Chapter of the ACL - Human Language Technologies (NAACL-HLT), the Association for Computational Linguistics (ACL), and the Conference on Empirical Methods in Natural Language Processing (EMNLP) invite proposals for tutorials in conjunction with EACL 2024, NAACL-HLT 2024, ACL 2024, and EMNLP 2024. We seek proposals in all areas of computational linguistics, broadly conceived to include related disciplines. We invite proposals for two types of tutorials: Cutting-edge: tutorials that cover advances in newly emerging areas not previously covered in any EACL/NAACL-HLT/ACL/EMNLP related tutorial (see the list of tutorials in the past 4 years). Introductory to computational linguistics/NLP: tutorials that provide introductions to related fields that are potentially relevant for the computational linguistics community (e.g., linguistics, bioinformatics, machine learning techniques, large language models for Non-English languages). In both cases, the aim of a tutorial is primarily to help understand a scientific problem, its tractability, and its theoretical and practical implications. Presentations of particular technological solutions or systems are welcome, provided that they serve as illustrations of broader scientific considerations. Tutorials will be held at one of the following conference venues: * EACL 2024 in Malta on March 17-22, 2024 * NAACL-HLT 2024 in Mexico City on June 16-21, 2024 * ACL 2024 in Bangkok on August 12-17th, 2024 * EMNLP 2024 in location TBD, late in 2024 Important Dates EACL/NAACL-HLT/ACL/EMNLP 2024 shared dates: Proposal submission deadline: September 1, 2023 Notification of acceptance: October 1, 2023 All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Fee Waiving Up to 3 instructors per tutorial can have their registration fees waived for the main conference and any subset of co-located tutorials and workshops. Diversity And Inclusion To foster a really inclusive culture in our field, we particularly encourage submissions from members of underrepresented groups in computational linguistics, i.e., researchers from any demographic or geographic minority, researchers with disabilities, among others. The overall diversity of the tutorial organizers and potential audience will be taken into account to ensure that the conference program is varied and balanced. Tutorial proposals should describe and will be evaluated according to how the tutorial contributes to topics promoting diversity (e.g., working on minority languages or groups), participation diversity (e.g., coordinating with social affinity groups, providing subsidies, making a promotional plan for the tutorial), and representation diversity among tutorial presenters. For more information or advice, organizers may consult resources such as the BIG directory, Black in AI, Disability in AI, Indigenous AI, LatinX in AI, Masakhane, 500 Queer Scientists, and Women-in-ML’s directory. Submission Details Proposals should use the ACL paper submission format. Authors can download the LaTeX or Word template or use the Overleaf template. Proposals should not exceed 4 pages of content (plus unlimited pages for references), should be submitted as PDF documents, and should contain the following: * A title and authors, affiliations, and contact information. * A brief description of the tutorial content and its relevance to the computational linguistics community. * Type of the tutorial: cutting-edge vs introductory. * Briefly describe the target audience and any expected prerequisite background the audience should be aware of. Specification of any prerequisites for the attendees. Here are some examples: ** Math: e.g., “Understand derivatives and integrals as found in introductory calculus” ** Linguistics: e.g., “Be able to parse and generate text with dependency grammars” ** Machine Learning: e.g., “Understand ‘classical’ supervised methods such as SVM and perceptron” ** Other areas: e.g., “Familiarity with word2vec” ** Programming or other tools: e.g., “Knowledge of Pytorch and Unix command line tools” * An outline of the tutorial structure content and how it will be covered in a three-hour slot. In exceptional cases six-hour tutorial slots are available. These time limits do not include coffee breaks, e.g., a three-hour tutorial in fact occupies a 3.5-hour slot, and a six-hour tutorial occupies a 7-hour slot. * Explain how the tutorial includes other people’s work. We recommend that the tutorial covers work by the presenters as well as by other researchers. The submission should explain how this breadth is ensured. Tutorials should not be “self-invited talks”. * Diversity considerations, e.g., use of multilingual data, indications of how the described methods scale up to various languages or domains, participation of both senior and junior instructors, demographic and geographical diversity of the instructors, plans for how to diversify audience participation, etc. * Reading list. Work that you expect the audience to read before the tutorial can be indicated by an asterisk. Recommended papers should provide breadth of authorship and include work by other authors, and work from other disciplines is welcome if relevant. * For each tutorial presenter, a one-paragraph statement of their research interests and areas of expertise for the tutorial topic, as well as experience in instructing an international audience. * An estimate of the audience size for the tutorial. If the same or a similar tutorial has been given before, include information on where any previous version of the tutorial was given and how many attendees the tutorial attracted. * A note specifying which venue(s) (EACL/NAACL-HLT/ACL/EMNLP) would be acceptable and/or preferable. Include a description of any constraints that might make the tutorial compatible with only one of these events, logistically, thematically, or otherwise. * A description of special requirements for technical equipment. * We intend to make tutorial presentation materials publically available (e.g., tutorial slides, captioned video recording, as well as software, data, or other resources as applicable) in the ACL Anthology. If any of your tutorial materials cannot be shared, please explain. * An ethics statement that discusses ethical considerations related to the topics of the tutorial. * OPTIONAL: We welcome proposals on special conference themes. If your tutorial proposal aligns with the special theme of a conference, then please explain. * OPTIONAL: We invite tutorial instructors to include pedagogical material that the audience can bring into classrooms or similar spaces of discussion, to bring attention to the tutorial topic (e.g., a hands-on exercise, discussion questions, a demo, or an assignment). If you would like to provide this, then please explain. Tutorial proposals should be submitted online using the softconf system at the following link: https://softconf.com/n/acl-tutorials2024. Proposals will be reviewed jointly by the Tutorial Co-Chairs of the conferences and by a group of external experts. Evaluation Criteria Each tutorial proposal will be evaluated according to its clarity and preparedness, novelty or timely character of the topic, instructors’ experience, likely audience interest, open access of the tutorial instructional material, and diversity and inclusion. Instructor Responsibilities Accepted tutorial presenters will be notified by October 1st, 2023. They must then provide abstracts of their tutorials for inclusion in the conference registration material by the specific conference deadlines. The description should be in two formats: (a) an ASCII version that can be included in email announcements and published on the conference website, and (b) a PDF version for inclusion in the electronic proceedings (detailed instructions will be provided). Tutorial speakers must provide tutorial materials (e.g., slides, relevant list of papers) at least one month prior to the date of the tutorial conditioned on the final venue. The final submitted tutorial materials must minimally include copies of the course slides and a bibliography for the material covered in the tutorial. After the conference, the presenters will be invited to update their slides in the ACL Anthology (if needed). Tutorial Chairs EACL Sharid Loáiciga <sharid.loaiciga(a)gu.se> Mohsen Mesgar <mohsen.mesgar(a)bosch.com> NAACL-HLT Rui Zhang <rmz5227(a)psu.edu> Nathan Schneider <nathan.schneider(a)georgetown.edu> Snigdha Chaturvedi <snigdha(a)cs.unc.edu> ACL Luis Chiruzzo <luis.chiruzzo(a)gmail.com> Hung-yi Lee <tlkagkb93901106(a)gmail.com> Leonardo Ribeiro <leonardofribeiro(a)gmail.com> EMNLP TBA

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CFP: New Directions in Analyzing Text as Data (TADA) 2023 conference
by heather froehlich 21 Jul '23

21 Jul '23

Dear all, With apologies for cross posting: The New Directions in Analyzing Text as Data (TADA) meeting is a leading forum for interdisciplinary research on the study of politics, society, and culture through computational analysis of documents. TADA 2023 invites applications for research presentations on new work related to text-as-data methods and applications. Our programs from past meetings (e.g. 2022) <https://tada2022.org/>demonstrate this community’s history of bringing together researchers, practitioners, and scholars from many fields. *Key* *Dates* Submission deadline: August 4th Notification of acceptance: August 28th Registration opens: September 5th Papers circulated to discussants: October 26th Conference: November 9th and 10th, Amherst, MA *Abstract Submissions* Proposals to present work are due August 4, and consist of a brief, 300-word abstract in text format rather than a full paper. TADA 2023 is a non-archival conference; there are no formal proceedings, and papers presented at the conference will not be distributed publicly by the conference. Presenters are expected to provide a paper to their discussant two weeks before the conference. We welcome any work, so long as it hasn’t been previously presented at a TADA conference. We also welcome individuals to volunteer to serve as discussants. *Link for submissions: https://docs.google.com/forms/d/e/1FAIpQLSfpsWgM44dfn3HRrQVq3uGXstBvRN6rbuO… <https://docs.google.com/forms/d/e/1FAIpQLSfpsWgM44dfn3HRrQVq3uGXstBvRN6rbuO…>* In addition to oral presentations and posters, TADA 2023 will have a doctoral consortium. We have limited funding to cover travel and lodging expenses for PhD students, who will be matched with experienced mentors from complementary fields to offer critiques to specific work and to provide guidance in how to do effective interdisciplinary work. Send questions for organizers at: info(a)tada2023.org. Thank you, Heather Froehlich -- Dr Heather Froehlich w // http://hfroehli.ch t // @heatherfro

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Counting multiple long (9+) n-grams in corpora: request for approaches
by beauchampd＠uni.coventry.ac.uk 21 Jul '23

21 Jul '23

Hi all, I'm doing analysis on a corpus on tweets from institutions. Regarding analysis of n-grams, it is quite unusual in that there are many repeated exact tweets, or very similar tweets, leading to long super strings of often 9 or 10 or more words together. Naturally this makes accurate counting and classifying difficult due to the overlapping substrings. Does anyone know of any approaches or software which can count and classify n-grams in such circumstances? I am aware of approaches outlined by Buerki (2017) and O'Donnell (2011), but these do not seem practical due to the excessive length of the n-grams in the corpus. Does anyone know of any accessible methods or packages? Any input much appreciated.

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Second Call for Participation: Second WMT Shared Task on Sign Language Translation (WMT-SLT 23)
by Eleftherios Avramidis 21 Jul '23

21 Jul '23

WMT-SLT 4: Motivation 2023 <https://www.youtube.com/watch?v=QjqBiRH0e_0&t=12s> WMT-SLT 5: Summary 2023 <https://www.youtube.com/watch?v=ngUDIZDvzvY&t=143s> We are excited to announce the second edition of the Shared Task on Sign Language Translation (WMT-SLT 23) at WMT 2023, co-located with EMNLP 2023. *NEW DEVELOPMENTS SINCE THE FIRST CALL* (1) Release of all our provided training data (2) Release of baseline systems *OVERVIEW* This shared task is concerned with automatic translation between signed and spoken languages. The task requires processing visual information (such as video and poses) beyond the well-known paradigm of text-to-text machine translation. This year the shared task features two tracks: translation from a signed language to a spoken language (signed-to-spoken track) and vice versa (spoken-to-signed track). We cover the following translation directions: signed-to-spoken: * Swiss German Sign Language (DSGS) to German (DE) spoken-to-signed: * German (DE) to Swiss German Sign Language (DSGS) * French (FR) to French Sign Language (LSF) * Italian (IT) to Italian Sign Language (LIS) We provide training data and baseline systems for all translation directions above. Submissions to the signed-to-spoken track will be ranked on a leaderboard. Submissions to the spoken-to-signed track are not ranked on the leaderboard while the task is running, but we still encourage participants to submit such systems. We aim to provide human evaluation for all submitted systems, regardless of the translation direction. We will ask participants to submit a system description paper to WMT 2023. *IMPORTANT DATES* * 22 June 2023: Release of training and development data * 22 June 2023: Release of baseline systems * 01 August 2023: Release of test data * 01 August 2023: System submission opens * 15 August 2023: System submission deadline * 05 September 2023: Paper submission deadline * 06 October 2023: Paper acceptance notification * 18 October 2023: Camera-ready version due * 6 - 7 December 2023: Overview of results at WMT All deadlines are AoE (Anywhere on Earth). Dates are in line with general deadlines of WMT. *ORGANIZERS* * Mathias Müller, University of Zurich * Sarah Ebling, University of Zurich and ZHAW Winterthur * Eleftherios Avramidis, DFKI Berlin * Cristina España-Bonet, DFKI Saarbrücken * Dimitar Shterionov, Tilburg University * Amit Moryossef, Bar-Ilan University / University of Zurich * Zifan Jiang, University of Zurich * Oscar Koller, Microsoft * Necati Cihan Camgoz, Meta * Roman Grundkiewicz, Microsoft * Davy Van Landuyt, European Union of the Deaf * Annelies Braffort, CNRS and Paris-Saclay University * Richard Bowden, University of Surrey * Anne Goehring, University of Zurich * Annette Rios, University of Zurich * Malihe Alikhani, University of Pittsburgh * Mert Inan, University of Pittsburgh *MORE INFORMATION* For more information, please visit our website: www.wmt-slt.com <http://www.wmt-slt.com> If you have any comments and/or questions, do not hesitate to contact us: wmt-tasks(a)googlegroups.com -- Dr. phil. Avramidis, Eleftherios Short name: Lefteris Pronouns: he/him Languages: English, German, Greek Website:https://www.dfki.de/~elav01 Address: Alt Moabit 91c, 10559 Berlin, Germany Tel.: +49 30 23895 1806 Sec.: +49 30 23895 1800 Fax.: +49 30 23895 1810 Web:http://www.dfki.de/~elav01 ------------------------------------------------------------- Deutsches Forschungszentrum für Künstliche Intelligenz GmbH Trippstadter Strasse 122, D-67663 Kaiserslautern, Germany Geschäftsführung: Prof. Dr. Antonio Krüger Helmut Ditzer Vorsitzender des Aufsichtsrats: Dr. Ferri Abolhassan Amtsgericht Kaiserslautern, HRB 2313 Sitz der Gesellschaft: Kaiserslautern ---------------------------------------------------------------------

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Open Job Positions: Lecturer (~Assistant Professor) in AI and Data Science
by Ingo Frommholz 20 Jul '23

20 Jul '23

The School of Engineering, Computing and Mathematical Sciences at the University of Wolverhampton in the UK is seeking to recruit two enthusiastic individuals to fill the role of Lecturer in Computer Science (Artificial Intelligence and Data Science). This is also relevant for people working in Information Retrieval and Natural Language Processing. You must hold a Master's degree (or equivalent) in Artificial Intelligence or Data Science, or a very closely related subject, and exhibit a commitment to the organisation and delivery of undergraduate and postgraduate programmes across the Department's subject areas, with a particular focus on Artificial Intelligence and Data Science. Membership in a professional body is a prerequisite. A PhD in Artificial Intelligence or Data Science would be highly desirable. More information and relevant links are available at https://jobs.wlv.ac.uk/vacancy/lecturer-in-artificial-intelligence-and-data…. You can also email Ingo Frommholz (i.frommholz(a)wlv.ac.uk) if you are interested. -- Ingo Frommholz (he/him), PhD, FBCS, FHEA Reader (~Associate Professor) in Data Science Deputy Head Digital Innovations and Solutions Centre (DISC) University of Wolverhampton, UK Adjunct Professor, Bern University of Applied Sciences, Switzerland Web: http://www.frommholz.org/ | Email: ifrommholz(a)acm.org Twitter: @iFromm | Mastodon: @ingo@idf.social PGP/GPG fingerprint: B74E A422 C7B2 A5BB 2BC2 523B 2790 216E F8F8 D166 http://pgp.mit.edu:11371/pks/lookup?op=get&search=0x2790216EF8F8D166

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Two Research Associate positions in the project “Young German Learner English: Complexity, Accuracy, Fluency”
by Robert Fuchs 20 Jul '23

20 Jul '23

We are happy to announce two positions as Research Associate in English Linguistics (m/f/d) (65% of regular working hours; pay group 13 TV-L) The positions have a start date of 1 November 2023 and are limited until 31 October 2026. Information on the project: The employment is in the project “Young German Learner English: Complexity, Accuracy, Fluency”, funded by the German Research Foundation. The project is a joint venture among the universities of Bamberg, Hamburg and Freiburg. It aims at the empirical analysis of complexity, accuracy and fluency as important constructs in the study of second language acquisition. To this end, a corpus of spoken and written production data from learners of English as a foreign language will be completed and annotated. In this corpus, the aforementioned constructs and their interactions will be investigated and contextual and social factors (e.g. motivation, socio-economic status) will be included in order to model the course of second language acquisition of English in the German context. The knowledge gained in this applied project will be used in the training of teachers as well as in the optimization of the development of textbooks and materials. Task description: The main tasks of the research associate are research-related and will comprise scientific and organizational support of the principal investigators, independent planning and implementation of data collection at schools, linguistic annotation and analysis of corpus data, as well as engaging in related publication activities. One of the posts is located at the University of Hamburg and supervised by Prof. Dr. Robert Fuchs. The other post is located at the University of Bamberg and supervised by PD Dr. Valentin Werner. We welcome applications from people from diverse backgrounds. For details on the specific requirements, desired qualifications and respective application procedures please refer to the relevant job ads: For the position in Hamburg: German version: https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=3d2dafc… English version: https://www.uni-hamburg.de/en/stellenangebote/ausschreibung.html?jobID=7f27… For the position in Bamberg: https://www.uni-bamberg.de/fileadmin/abt-personal/Homepage_ab_2016-03/10_St… Application deadline: 15 August 2023 for the position in Bamberg and 24 August 2023 for the position in Hamburg -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs <https://uni-hamburg.academia.edu/RobertFuchs> | https://sites.google.com/view/rflinguistics/ <https://sites.google.com/view/rflinguistics/> Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join <https://groups.google.com/forum/#!forum/var-eng/join> Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/ <https://lamapoll.de/englishusageofnonnativespeakers-1/>

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Workshop DiSLiDaS 2023
by Purificação Silvano 20 Jul '23

20 Jul '23

Second Workshop DISLiDAS 2023 Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing Vienna, Austria, University of Vienna Website: http://dislidas.mozajka.co Date: 13 September 2023 Zoom link: TBA The Cost Action CA18209 NexusLinguarum (https://nexuslinguarum.eu) invites you to attend the Second Workshop Discourse studies and linguistic data science: Addressing challenges in interoperability, multilinguality and linguistic data processing – DiSLiDaS 2023, organized as part of LDK 2023 (http://2023.ldk-conf.org). We are glad to announce that the program features one keynote (in-person), Professor Johan Bos, and seven oral presentations. DiSLiDaS 2023 will be a hybrid event (in-person and online) open to anyone interested in the thematic. If you have not yet registered, please contact the LDK’s local organizers per e-mail (dagmar.gromann(a)gmail.com; barbara.heinisch(a)univie.ac.at). Online participation is still possible, but also requires prior registration. The registration form (https://ldk-registration.univie.ac.at) for online participation will be open until 3rd September 2023. We are very much looking forward to seeing you in Vienna. Program (All times are CEST - UTC+2) 9:15 Opening remarks 9:30-10:00 Adopting ISO 24617-8 for Discourse Relations Annotation in Polish: Challenges and Future Directions, Sebastian Żurowski, Daniel Ziembicki, Aleksandra Tomaszewska, Maciej Ogrodniczuk and Agata Drozd 10:00-10:30 Testing the Continuity Hypothesis: A decompositional approach, Debopam Das and Markus Egg 10:30-11:00 DRIPPS: a Corpus with Discourse Relations in Perfect Participial Sentences, Purificação Silvano, António Leal, João Cordeiro e Sebastaião Pais 11:00-11:30 Coffee break 11:30-12:30 Invited Talk: Johan Bos – A Simple Annotation Scheme for Annotating the Meaning of Discourse 12:30-14:00 Lunch break 14:00-14:30 Validation of Language Agnostic Models for Discourse Marker Detection, Mariana Damova, Giedre Valunaite Oleskeviciene, Kostadin Mishev, Purificação Silvano, Dimitar Trajanov, Ciprian-Octavian Truică, Chaya Liebeskind, Elena-Simona Apostol, Anna Baczkowska and Christian Chiarcos 14:30-15:00 An Algorithm for Pythonizing Rhetorical Structures, Andrew Potter 15:00-15:30 Lexical Retrieval Hypothesis in Multimodal Context, Wang Po-Ya Angela, Pin-Er Chen, Hsin-Yu Chou, Yu-Hsiang Tseng and Shu-Kai Hsieh 15:30-16:00 The shaping of the narrative on migration: A corpus assisted quantitative discourse analysis of the impact of the divisive media framing of migrants in Korea, Clara Delort and Jo Eun-Kyoung 16:00-16:30 Coffee break 16:30-17:00 Discussion 17:00-17:15 Closing remarks

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Call For Participation - PLABA @ TAC 2023
by Ondov, Brian (NIH/NLM/LHC) [F] 20 Jul '23

20 Jul '23

We are pleased to announce the inaugural offering of the Plain Language Adaptation of Biomedical Abstracts (PLABA) track, as part of the 2023 Text Analysis Conference (TAC) hosted by the U.S. National Institute of Standards and Technology (NIST). This track is an opportunity to showcase your cutting-edge research on an important topic, and to take advantage of large amounts of expert annotated data and manual evaluation. Background: Deficits of Health Literacy are linked to worse outcomes and drive health disparities. Though unprecedented amounts of biomedical knowledge are available online, patients and caregivers face a type of “language barrier” when confronted with jargon and academic writing. Advances in language modeling have improved plain language generation, but the task of automatically and accurately adapting biomedical text for a general audience has thus far lacked high-quality, standardized benchmarks. Task: Systems will adapt biomedical abstracts to plain language. This includes substituting medical jargon, providing explanations for necessary terms, simplifying sentences, and other modifications. The training set is the publicly available PLABA dataset<https://doi.org/10.1038%2Fs41597-022-01920-3>, which contains 750 abstracts with manual, sentence-aligned adaptations for each, totaling more than 7k sentence pairs with document context. Evaluation: Participating systems will be evaluated on 400 held out abstracts, manually adapted four-fold by different annotators for robust automatic metrics. Additionally, a subset of system output will be manually evaluated along several axes to ensure they are accurate and faithful to the original, which is crucial for the biomedical domain. URL: https://bionlp.nlm.nih.gov/plaba2023/ Mailing list: https://groups.google.com/g/plaba2023 Key dates: Jul 19 – Evaluation data released Aug 16 – Submissions due Oct 18 – Results posted We look forward to your submissions.

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Announcing the ALTA 2023 Shared Task
by Diego Molla-Aliod 20 Jul '23

20 Jul '23

CALL FOR PARTICIPATION http://www.alta.asn.au/events/sharedtask2023<http://www.alta.asn.au/events/sharedtask2023> The Australasian Language Technology Association (ALTA) is organising a programming competition for university undergraduate and postgraduate students. Following on the series of shared tasks by ALTA since 2010, all participants compete to solve the same problem. The problem highlights an active area of research and programming in the area of language technology. This year's shared task is fitting for the times we are living: Distinguish between human-generated and AI-generated text. The tentative key dates are: Right Now - Registration and release of training and development data 27 Sep 2023 - Release of test data 03 Oct 2023 - Deadline of submission of runs 06 Oct 2023 - Notification of results 25 Oct 2023 - Deadline of submission of system description 29 Nov - 1 Dec 2023 - Presentation of results at ALTA 2023 Details of the task and registration are available at the competition website (https://www.alta.asn.au/events/sharedtask2023<https://www.alta.asn.au/events/sharedtask2023>) Good luck! Diego -- Dr. Diego Mollá-Aliod Senior Lecturer School of Computing | Room 358 (Level 3), 4 Research Park Drive Macquarie University, NSW 2109, Australia T: +61 2 9850 9531 | F: +61 2 9850 9551 https://macquarie.zoom.us/my/diego.molla http://comp.mq.edu.au/~diego I acknowledge the traditional custodians of the land on which Macquarie University stands – the Wallumattagal clan of the Dharug nation – whose cultures and customs have nurtured and continue to nurture this land since time immemorial. I pay my respects to Elders past and present.

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BioCreative VIII Challenge and Workshop 2nd Call for Participation
by Islamaj, Rezarta (NIH/NLM/NCBI) [E] 19 Jul '23

19 Jul '23

BioCreative VIII Challenge and Workshop 2nd Call for Participation Where, When: The BioCreative VIII workshop<BioCreative%20VIII%20workshop> will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA. BioCreative VIII: The VIIIth BioCreative workshop seeks to attract researchers interested in automatic methods of extracting medically relevant information from clinical data and aims to bring together the medical NLP community and the health professionals community. The challenge tracks include: * BioRED (Biomedical Relation Extraction Dataset) Track will continue to address information extraction from biomedical literature * SYMPTEMIST (Symptom TExt Mining Shared Track) will focus on symptom extraction from clinical records in Spanish and multilingual corpus * Phenotype extraction (genetic conditions in pediatric patients) Track will address phenotype extraction from clinical records * Annotation Tool Track will focus on annotation tools that facilitate the job of domain experts by offering seamless integration with relevant ontologies and other features to improve efficiency (dataset provided). Workshop Proceedings and Special Issue: The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop. In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop. Participation: Teams can participate in one or more of these tracks. Team registration will continue until final commitment is requested by the individual tracks. To register a team go to the Registration form<https://urldefense.com/v3/__https:/forms.gle/cwEPevGPjrjm687z5__;!!KOmnBZxC…>. If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge(a)gmail.com<mailto:BiocreativeChallenge@gmail.com> BioCreative VIII Tracks: Track 1: BioRED (Biomedical Relation Extraction Dataset) Track. (Rezarta Islamaj and Zhiyong Lu) This track aims to foster the development of systems that automatically extract biomedical relations in journal articles, and the final resource -- freely available to the community -- will consist of 1000 MEDLINE articles fully annotated with biological and medically relevant entities, biomedical relations between them, and the novelty of the relation (whether the relation is a key point of the article versus background knowledge that can be found elsewhere). The participants will use the training data (600 articles) to design and develop their NLP systems to extract asserted relationships from free text and are encouraged to classify relations that are novel findings. In the BioCreative setting we will enrich the BioRED training dataset with 400 recently published MEDLINE articles fully annotated, bringing this valuable resource to 1000 articles. This track serves as a continuation of previous BioCreative Workshops that addressed the individual extraction of bio entities and/or specific relations such as disease-gene, protein-protein, or chemical-chemical, in biomedical articles. In contrast from previous challenges, this track calls for the extraction of all semantic relations expressed in the article and their novelty factor. Track 2: SYMPTEMIST (Symptom TExt Mining Shared Task) (Martin Krallinger) A considerable effort has been made to automatically extract from clinical texts relevant variables and concepts using advanced entity recognition approaches. Despite the importance of clinical signs and symptoms for diagnosis, prognosis and healthcare data analytics strategies, this kind of clinical entity has received far less attention when compared to other entity classes such as medications or diseases. To understand and characterize relationships between different symptoms, their onset, or associations of symptoms to diseases is a central question for medical research. Due to the complexity underlying the annotation process and normalization or mapping of symptom mentions to controlled vocabularies, very few datasets or corpora have been generated to train and evaluate advanced clinical named entity recognition systems. To foster the development, research and evaluation of semantic annotation strategies that can be useful for systematically extracting and harmonizing symptoms from clinical documents we propose the SYMPTEMIST track. We will invite researchers, health-tech professionals, NLP, and ontology experts to develop tools capable of detecting automatically mentions of clinical symptoms from clinical texts in Spanish and normalizing or mapping them to a widely used multilingual clinical vocabulary, namely SNOMED CT. For this task we will release a large collection of manually annotated symptoms mentions, together with detailed annotation guidelines, consistency analysis and additional resources. For this track we plan also to release a multilingual version of the corpus (English, Italian, Romanian, Catalan, Portuguese, French, Dutch, Swedish and Czech). This is a new challenge. Track 3: Phenotype extraction (genetic conditions in pediatric patients) (Graciela Gonzalez, Ian Campbell, Davy Weissenbacher) The dysmorphology physical examination is a critical component of the diagnostic evaluation in clinical genetics. This process catalogs often minor morphological differences of the patient's facial structure or body, but it may also identify more general medical signs such as neurologic dysfunction. The findings enable the correlation of the patient with known rare genetic diseases. Although the medical findings are key information, they are nearly always captured within the electronic health record (EHR) as unstructured free text, making them unavailable for downstream computational analysis. Advanced Natural Language Processing methods are therefore required to retrieve the information from the records. This is a new challenge. Track 4: Annotation Tool track (Rezarta Islamaj, Cecilia Arighi, Lynette Hirschman, Martin Krallinger, Graciela Gonzalez) Recognizing the need for freely available, time-saving tools that help build quality gold-standard resources, the goal of BioCreative 2023 Annotation Tool Track is to foster development of such biocuration annotation systems. This track calls for text mining developers to submit systems that are: 1) both publicly available, and offer local setup options to allow for data with privacy concerns, such as clinical records, 2) able to support team annotation, and collaboration between annotators to ensure data annotation quality, 3) able to annotate documents for triage, entities, and/or relations, and 4) able to integrate the selected ontology, and provide search capabilities/browsing, as well as suggestions to the curator for the selected ontology. A select number of systems will be showcased at the workshop. Organizing Committee * Dr. Rezarta Islamaj, National Library of Medicine * Dr. Cecilia Arighi, University of Delaware * Dr. Ian M. Campbell, Children Hospital of Philadelphia * Dr. Graciela Gonzalez-Hernandez, Cedars-Sinai Medical Center * Dr. Lynette Hirschman, MITRE * Dr. Martin Krallinger, Barcelona Supercomputing Center * Dr. Davy Weissenbacher, Cedars-Sinai Medical Center * Dr. Zhiyong Lu, National Library of Medicine

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[EVALITA 2023]: call for participation
by Giulia Venturi 19 Jul '23

19 Jul '23

[Apologies for multiples postings] ------------------------------------------------------------ CALL FOR PARTICIPATION EVALITA 2023 8th Evaluation Campaign of Natural Language Processing and Speech Tools for the Italian Language https://www.evalita.it/campaigns/evalita-2023/ 7-8th September 2023 University of Parma, Plesso di via D’Azeglio n. 85 Parma, Italy ------------------------------------------------------------ The EVALITA 2023 final workshop will be held in Parma on September 7-8th, 2023. REGISTRATION is now open: Early registration (until 21/08/2023): regular 80 €, student 60 € Late registration (after 21/08/2023): regular 100 €, student 80 € On site registrazione: regular 120 €, student 100 € Please note that EVALITA is an initiative of AILC (Associazione Italiana di Linguistica Computazionale). Therefore, in order to support the community, participants are requested to become members of AILC before registering to the workshop. Notice that the AILC annual membership expires December 31st. AILC membership fees can be found on the website of the association: https://www.ai-lc.it/en/memberships/ More information: https://www.evalita.it/campaigns/evalita-2023/workshop-registration/ Registration online system: https://www.ai-lc.it/en/evalita-registration-procedure/ TENTATIVE SCHEDULE https://www.evalita.it/campaigns/evalita-2023/final-workshop/workshop-progr… INVITED SPEAKER Julio Gonzalo, full professor of Computer Science at UNED (Universidad Nacional de Educación a Distancia, Madrid, Spain) VENUE https://www.evalita.it/campaigns/evalita-2023/final-workshop/venue/ EVALITA 2023 CHAIRS Mirko Lai (Università di Torino) Stefano Menini (Fondazione Bruno Kessler) Marco Polignano (Università di Bari Aldo Moro) Valentina Russo (Logogramma SRL) Rachele Sprugnoli (Università degli Studi di Parma) Giulia Venturi (Istituto di Linguistica Computazionale “A. Zampolli” – CNR) CONTACT evalita2023[AT]gmail.com FOLLOW US! Twitter: https://twitter.com/EVALITAcampaign

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Research Associate, Oldenburg, Germany
by Jörge Minula 19 Jul '23

19 Jul '23

Dear Members, I would like to bring to your attention the following research associate position in the Field of Psycholinguistics and hearing research at University of Oldenburg, Germany. For more information about the position and how to apply, please refer to the detailed description provided in the email below. Best regards, Jörge Minula --- The cluster of excellence Hearing4all: Models, Technology and Solutions for Diagnostics, Restoration and Support of Hearing at the Universität Oldenburg (in collaboration with Medizinische Hochschule Hannover and Leibniz Universität Hannover) is seeking to fill as soon as possible the position of a Research Associate (fulltime) in the Field of Psycholinguistics and hearing research (m/f/d) in the Department of Dutch, Faculty of Linguistics and Cultural Studies. The position is available from 1st of October 2023 (or as soon as possible after that) until 31st of December 2025. Salary is depending on previous experience and education (German TV-L E13 <https://lohntastik.de/od-rechner/tv-salary-calculator/TV-L/E-13/1>). The position is suitable for part-time work. A paramount goal of the cluster of excellence Hearing4all ( www.hearing4all.de) is to transform audiology into an "exact" science based on the interplay between experiment and theory as well as between basic science and clinical research. In the framework provided by the cluster the successful candidate is expected to contribute to the research goals of the cluster to research thread 1 "Auditory processing deficits throughout the lifespan", in which one of the goals is to identify the impact of hearing loss in young and old age on cognitive and language development and its decline. Specifically, the candidate is expected to do research on the interaction of hearing abilities and language processing/development. Candidates are expected to have PhD in the field of (psycho)- linguistics, psychology, or a related discipline (with a specialization in speech/language processing and/or language acquisition) and have shown their ability to perform excellent scientific work, usually demonstrated by the outstanding quality of their Doctorate/PhD research and a good publication record. Experience in hearing research is an advantage. We are seeking candidates with experience in statistical analysis as well as knowledge in at least one of the following methods/areas: language acquisition, online sentence processing, reaction time studies, eye tracking, ERP. Matlab skills, and/ or experience with E-prime will be helpful, as well as working knowledge of German. Since the positions entail close interdisciplinary cooperation with several other disciplines (audiology, psychology, physics), the willingness and ability to integrate methods, concepts and issues of the 'other' discipline into theories, concepts and methods current in one's own are required for successful work in this project. The University of Oldenburg is an equal opportunities employer. According to § 21 para. 3 of the legislation governing Higher Education in Lower Saxony (NHG), preference shall be given to female candidates in cases of equal qualification. The same applies to persons with disabilities. More information at: https://uol.de/stellen?stelle=69714

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Post-doc position on Multimodal Neural Web Page Segmentation, GREYC, France
by Mohammed Hasanuzzaman 19 Jul '23

19 Jul '23

Dear All, We have an exciting opportunity for highly motivated and talented researchers to apply for our Postdoctoral position at GREYC Research Centre (https://www.greyc.fr/en/home/), France. Since 2000, the GREYC has been a joint research unit associated with the French National Centre for Scientific Research (CNRS), the University of Caen Normandy (UNICAEN) and the Ecole Nationale Supérieure d’Ingénieurs de Caen (ENSICAEN). The GREYC lab realizes research works in the field of digital science with activities in image processing, machine learning, artificial intelligence, computer security, fundamental computer science, Web science, electronics. It has 7 research groups with faculty members from ENSICAEN, UNICAEN and CNRS, PhD students and administrative & technical members. The postdoctoral scholar will be working on Multimodal Neural Web Page Segmentation with a primary goal to detect the different zones of a web page. This interdisciplinary research project combines computer vision, natural language processing, and machine learning techniques to develop advanced algorithms capable of segmenting web pages into meaningful and semantically distinct regions. *Location: **GREYC Research Centre *(https://www.greyc.fr/en/home/)*, France* *Closing Date: **15 August*, *2023* *Benefits:* The successful candidate will receive a competitive salary and other benefits, as well as access to state-of-the-art research facilities and resources. The fellowship will be initially offered for 12-18 months, with the possibility of extension based on performance. *Eligibility Criteria:* Applicants interested in this position must meet the following criteria: - Hold a recent Ph.D. degree in Computer Science, Electrical Engineering, or a related field. - Demonstrate a strong research background in natural language processing or computer vision. - Possess a track record of publications in top-tier conferences/journals related to computer vision, NLP, or related areas. - Strong programming skills. - Excellent written and verbal communication and interpersonal skills. *Application Process:* Interested candidates can send an application with the following documents directly Prof. Gael Dias, email: gael.dias(a)unicaen.fr and Dr. Mohammed Hasanuzzaman, email: mohammed.hasanuzzaman(a)mtu.ie - Updated Curriculum Vitae (CV) with a list of publications. - A cover letter outlining research interests, relevant background, and motivation for applying. - Contact information for three academic referees who can provide recommendation letters. ------------------------------------------------------------------------------------------------------ *Dr. Mohammed Hasanuzzaman, Lecturer, Munster Technological University <https://www.mtu.ie/> * *Funded Investigator, ADAPT Centre- <https://www.adaptcentre.ie/> A <https://www.adaptcentre.ie/>* World-Leading SFI Research Centre <https://www.adaptcentre.ie/> *Member, Lero, the SFI Research Centre for Software <https://lero.ie/>**C**hercheur Associé*, GREYC UMR CNRS 6072 Research Centre, France <https://www.greyc.fr/en/home/> *Associate Editor:** IEEE Transactions on Affective Computing, Nature Scientific Reports, IEEE Transactions on Computational Social Systems, ACM TALLIP, PLOS One, Computer Speech and Language* Dept. of CS Munster Technological University Bishopstown campus Cork e: mohammed.hasanuzzaman(a)adaptcentre.ie <email(a)adaptcentre.ie>/ Ireland https://mohammedhasanuzzaman.github.io/ [image: Mailtrack] <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> Sender notified by Mailtrack <https://mailtrack.io?utm_source=gmail&utm_medium=signature&utm_campaign=sig…> 19/07/23, 12:52:06

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Call for papers: The 4th Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP 2023)
by opitz.sci＠gmail.com 19 Jul '23

19 Jul '23

Dear Colleagues, the 4th Workshop on Evaluation and Comparison for NLP systems (Eval4NLP), co-located at the 2023 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2023), invites the submission of long and short papers, with a theoretical or experimental nature, describing recent advances in system evaluation and comparison in NLP. ** Important Dates ** All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). - Direct submission to Eval4NLP deadline: August 25 - Submission of pre-reviewed papers to Eval4NLP (see below for details) : September 25 - Notification of acceptance: October 2 - Camera-ready papers due: October 15 - Workshop day: November 1 Please see the Call for Papers for more details [1]. ** Shared Task ** This year’s version will come with a shared task on explainable evaluation of generated language (MT and summarization) with a focus on LLM prompts. Please find more information on the shared task page: [2]. ** Topics ** Designing evaluation metrics: Proposing and/or analyzing metrics with desirable properties, e.g., high correlations with human judgments, strong in distinguishing high-quality outputs from mediocre and low-quality outputs, robust across lengths of input and output sequences, efficient to run, etc.; Reference-free evaluation metrics, which only require source text(s) and system predictions; Cross-domain metrics, which can reliably and robustly measure the quality of system outputs from heterogeneous modalities (e.g., image and speech), different genres (e.g., newspapers, Wikipedia articles and scientific papers) and different languages; Cost-effective methods for eliciting high-quality manual annotations; and Methods and metrics for evaluating interpretability and explanations of NLP models Creating adequate evaluation data: Proposing new datasets or analyzing existing ones by studying their coverage and diversity, e.g., size of the corpus, covered phenomena, representativeness of samples, distribution of sample types, variability among data sources, eras, and genres; and Quality of annotations, e.g., consistency of annotations, inter-rater agreement, and bias check Reporting correct results: Ensuring and reporting statistics for the trustworthiness of results, e.g., via appropriate significance tests, and reporting of score distributions rather than single-point estimates, to avoid chance findings; reproducibility of experiments, e.g., quantifying the reproducibility of papers and issuing reproducibility guidelines; and Comprehensive and unbiased error analyses and case studies, avoiding cherry-picking and sampling bias. ** Submission Guidelines ** The workshop welcomes two types of submission -- long and short papers. Long papers may consist of up to 8 pages of content, plus unlimited pages of references. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Please follow the ACL ARR formatting requirements, using the official templates [3]. Final versions of both submission types will be given one additional page of content for addressing reviewers’ comments. The accepted papers will appear in the workshop proceedings. The review process is double-blind. Therefore, no author information should be included in the papers and the (optional) supplementary materials. Self-references that reveal the author's identity must be avoided. Papers that do not conform to these requirements will be rejected without review. ** The submission sites on Openreview ** Standard submissions: [4] Pre-reviewed submissions: [5] See below for more information on the two submission modes. ** Two submission modes: standard and pre-reviewed ** Eval4NLP features two modes of submissions. Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the Eval4NLP committee, and a final verdict from the workshop chairs. Pre-reviewed: To a later deadline, we invite unpublished papers that have already been reviewed, either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues (these papers will not receive new reviews but will be judged together with their reviews via a meta-review; authors are invited to attach a note with comments on the reviews and describe possible revisions). Final verdicts will be either accept, reject, or conditional accept, i.e., the paper is only accepted provided that specific (meta-)reviewer requirements have been met. Please also note the multiple submission policy. ** Optional Supplementary Materials ** Authors are allowed to submit (optional) supplementary materials (e.g., appendices, software, and data) to improve the reproducibility of results and/or to provide additional information that does not fit in the paper. All of the supplementary materials must be zipped into one single file (.tgz or .zip) and submitted via Openreview together with the paper. However, because supplementary materials are completely optional, reviewers may or may not review or even download them. So, the submitted paper should be fully self-contained. ** Preprints ** Papers uploaded to preprint servers (e.g., ArXiv) can be submitted to the workshop. There is no deadline concerning when the papers were made publicly available. However, the version submitted to Eval4NLP must be anonymized, and we ask the authors not to update the preprints or advertise them on social media while they are under review at Eval4NLP. ** Multiple Submission Policy ** Eval4NLP allows authors to submit a paper that is under review in another venue (journal, conference, or workshop) or to be submitted elsewhere during the Eval4NLP review period. However, the authors need to withdraw the paper from all other venues if they get accepted and want to publish in Eval4NLP. Note that AACL and ARR do not allow double submissions. Hence, papers submitted both to the main conference and AACL workshops (including Eval4NLP) will violate the multiple submission policy of the main conference. If authors would like to submit a paper under review by AACL to the Eval4NLP workshop, they need to withdraw their paper from AACL and submit it to our workshop before the workshop submission deadline. ** Best Paper Awards ** We will optionally award prizes to the best paper submissions (subject to availability; more details to come soon). Both long and short submissions will be eligible for prizes. ** Presenting Published Papers ** If you want to present a paper which has been published recently elsewhere (such as other top-tier AI conferences) at our workshop, you may send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to eval4nlp(a)gmail.com. We will select a few high-quality and relevant papers to present at Eval4NLP. This allows such papers to gain more visibility from the workshop audience and increases the variety of the workshop program. Note that the chosen papers are considered as non-archival here and will not be included in the workshop proceedings. ------------------------------------------------- Best wishes, Eval4NLP organizers Website: https://eval4nlp.github.io/2023/index.html Email: eval4nlp(a)gmail.com [1] https://eval4nlp.github.io/2023/index.html [2] https://eval4nlp.github.io/2023/shared-task.html [3] https://github.com/acl-org/acl-style-files [4] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… [5] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N…

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[Job] Senior Research Scientist opportunity at ASUS AICS (Singapore/Taipei)
by Stefan Winkler(Stefan Winkler) 19 Jul '23

19 Jul '23

AICS (https://aics.asus.com/ ) is a young ASUS division incubating applied software and AI services to create a new generation of smart medical solutions. The team is building and deploying deep technologies in Data Analytics, Speech Recognition, Natural Language Understanding, and Computer Vision to help accelerate the transformation towards an AI-powered future in healthcare. The role of our AI Researchers is to work on ambitious long-term research goals, while laying out intermediate milestones to solve large-scale, real-world problems. As a senior member of the team, you will also help define research directions and guide junior researchers. Specific research topics of interest include (but are not limited to) generative models, knowledge discovery, domain generalization, long-tailed learning, and self-supervised approaches. We are currently recruiting at the senior level, either at our Singapore or Taipei offices. Job Responsibilities: * Drive AI/ML research from concepts to concrete output * Invent and implement innovative ML algorithms and tools * Publish and present your work in the top ML/NLP venues * Guide junior research team members and PhD students * Work with the product and engineering team to transform research prototypes into production * Forge research collaborations with university partners and clinicians Requirements: * Ph.D. degree in computer science or related discipline * At least 5+ years experience post-PhD, preferably in industry * Strong track record of publications at top peer-reviewed conferences and journals * Active in the research community and recognized by peers (e.g. conference committee membership, highly cited papers, awards) * Expertise in state-of-the-art machine learning methods, especially in the domains of natural language processing * Hands-on experience with deep learning frameworks such as PyTorch * Familiarity with MLOps and deploying models in production will be beneficial You may apply via https://aics.asus.com/career-en/ai-researcher/ or email me your CV directly. We look forward to hearing from you! Best regards, Stefan Winkler -- Director of R&D Asus AICS Singapore https://aics.asus.com/ =================================================================================================================================== This email and any attachments to it contain confidential information and are intended solely for the use of the individual to whom it is addressed. If you are not the intended recipient or receive it accidentally, please immediately notify the sender by e-mail and delete the message and any attachments from your computer system, and destroy all hard copies. Please be advised that any unauthorized disclosure, copying, distribution or any action taken or omitted in reliance on this, is illegal and prohibited. Any views or opinions expressed are solely those of the author and do not represent those of ASUSTeK. For pricing information, ASUS is only entitled to set a recommendation resale price. All customers are free to set their own price as they wish. ===================================================================================================================================

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[CFP] 3rd Workshop for NLP Open Source Software at EMNLP 2023
by liling tan 18 Jul '23

18 Jul '23

(apologies for cross-posting) *-----Workshop for NLP Open Source Software (NLP-OSS)* 06 Dec 2023, Co-located with EMNLP 2023 https://nlposs.github.io/ Deadline for Long and Short Paper submission: 09 August, 2023 (23:59, GMT-11) ----- You have tried to use the latest, bestest, fastest LLM models and bore grievances but found the solution after hours of coffee and computer staring. Share that at NLP-OSS and suggest how open source could change for the better (e.g. best practices, documentation, API design etc.) You came across an awesome SOTA system on NLP task X that no LLM has beaten its F1 score. But now the code is stale and it takes a dinosaur to understand the code. Share your experience at NLP-OSS and propose how to "replicate" these forgotten systems. You see this shiny GPT from a blog post, tried it to reproduce similar results on a different task and it just doesn't work on your dataset. You did some magic to the code and now it works. Show us how you did it! Though they're small tweaks, well-motivated and empirically tested are valid submissions to NLP-OSS. You have tried 101 NLP tools and there's none that really do what you want. So you wrote your own shiny new package and made it open source. Tell us why your package is better than the existing tools. How did you design the code? Is it going to be a one-time thing? Or would you like to see thousands of people using it? You have heard enough of open-source LLM and pseudo-open-source GPT but not enough about how it can be used for your use-case or your commercial product at scale. So you contacted your legal department and they explained to you about how data, model and code licenses work. Sharing the knowledge with the NLP-OSS community. You have a position/opinion to share about free vs open vs closed source LLMs and have valid arguments, references or survey/data to support your position. We would like to hear more about it. At last, you've found the avenue to air these issues in an academic platform at the NLP-OSS workshop!!! Sharing your experiences, suggestions and analysis from/of NLP-OSS ---- P/S: 2nd Call for Paper *Workshop for NLP Open Source Software (NLP-OSS)* 06 Dec 2023, Co-located with EMNLP 2023 https://nlposs.github.io/ Deadline for Long and Short Paper submission: 09 August, 2023 (23:59, GMT-11) ------------------------------ The Third Workshop for NLP Open Source Software (NLP-OSS) will be co-located with EMNLP 2023 on 06 Dec 2023. Focusing more on the social and engineering aspect of NLP software and less on scientific novelty or state-of-art models, the Workshop for NLP-OSS is an academic forum to advance open source developments for NLP research, teaching and application. NLP-OSS also provides an academic workshop to announce new software/features, promote the collaborative culture and best practices that go beyond the conferences. We invite full papers (8 pages) or short papers (4 pages) on topics related to NLP-OSS broadly categorized into (i) software development, (ii) scientific contribution and (iii) NLP-OSS case studies. - *Software Development* - Designing and developing NLP-OSS - Licensing issues in NLP-OSS - Backwards compatibility and stale code in NLP-OSS - Growing, maintaining and motivating an NLP-OSS community - Best practices for NLP-OSS documentation and testing - Contribution to NLP-OSS without coding - Incentivizing OSS contributions in NLP - Commercialization and Intellectual Property of NLP-OSS - Defining and managing NLP-OSS project scope - Issues in API design for NLP - NLP-OSS software interoperability - Analysis of the NLP-OSS community - *Scientific Contribution* - Surveying OSS for specific NLP task(s) - Demonstration, introductions and/or tutorial of NLP-OSS - Small but useful NLP-OSS - NLP components in ML OSS - Citations and references for NLP-OSS - OSS and experiment replicability - Gaps between existing NLP-OSS - Task-generic vs task-specific software - *Case studies* - Case studies of how a specific bug is fixed or feature is added - Writing wrappers for other NLP-OSS - Writing open-source APIs for open data - Teaching NLP with OSS - NLP-OSS in the industry Submission should be formatted according to the EMNLP 2023 templates <https://2023.emnlp.org/call-for-papers> and submitted to OpenReview <https://openreview.net/group?id=EMNLP/2023/Workshop/NLP-OSS> ORGANIZERS Geeticka Chauhan, Massachusetts Institute of Technology Dmitrijs Milajevs, Grayscale AI Elijah Rippeth, University of Maryland Jeremy Gwinnup, Air Force Research Laboratory Liling Tan, Amazon

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Call for papers: The 4th Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP 2023)
by Juri Alexander Opitz 18 Jul '23

18 Jul '23

Dear Colleagues, the 4th Workshop on Evaluation and Comparison for NLP systems (Eval4NLP), co-located at the 2023 Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2023), invites the submission of long and short papers, with a theoretical or experimental nature, describing recent advances in system evaluation and comparison in NLP. ** Important Dates ** All deadlines are 11.59 pm UTC -12h (“Anywhere on Earth”). - Direct submission to Eval4NLP deadline: August 25 - Submission of pre-reviewed papers to Eval4NLP (see below for details) : September 25 - Notification of acceptance: October 2 - Camera-ready papers due: October 15 - Workshop day: November 1 Please see the Call for Papers for more details [1]. ** Shared Task ** This year’s version will come with a shared task on explainable evaluation of generated language (MT and summarization) with a focus on LLM prompts. Please find more information on the shared task page: [2]. ** Topics ** Designing evaluation metrics: Proposing and/or analyzing metrics with desirable properties, e.g., high correlations with human judgments, strong in distinguishing high-quality outputs from mediocre and low-quality outputs, robust across lengths of input and output sequences, efficient to run, etc.; Reference-free evaluation metrics, which only require source text(s) and system predictions; Cross-domain metrics, which can reliably and robustly measure the quality of system outputs from heterogeneous modalities (e.g., image and speech), different genres (e.g., newspapers, Wikipedia articles and scientific papers) and different languages; Cost-effective methods for eliciting high-quality manual annotations; and Methods and metrics for evaluating interpretability and explanations of NLP models Creating adequate evaluation data: Proposing new datasets or analyzing existing ones by studying their coverage and diversity, e.g., size of the corpus, covered phenomena, representativeness of samples, distribution of sample types, variability among data sources, eras, and genres; and Quality of annotations, e.g., consistency of annotations, inter-rater agreement, and bias check Reporting correct results: Ensuring and reporting statistics for the trustworthiness of results, e.g., via appropriate significance tests, and reporting of score distributions rather than single-point estimates, to avoid chance findings; reproducibility of experiments, e.g., quantifying the reproducibility of papers and issuing reproducibility guidelines; and Comprehensive and unbiased error analyses and case studies, avoiding cherry-picking and sampling bias. ** Submission Guidelines ** The workshop welcomes two types of submission -- long and short papers. Long papers may consist of up to 8 pages of content, plus unlimited pages of references. Short papers may consist of up to 4 pages of content, plus unlimited pages of references. Please follow the ACL ARR formatting requirements, using the official templates [3]. Final versions of both submission types will be given one additional page of content for addressing reviewers’ comments. The accepted papers will appear in the workshop proceedings. The review process is double-blind. Therefore, no author information should be included in the papers and the (optional) supplementary materials. Self-references that reveal the author's identity must be avoided. Papers that do not conform to these requirements will be rejected without review. ** The submission sites on Openreview ** Standard submissions: [4] Pre-reviewed submissions: [5] See below for more information on the two submission modes. ** Two submission modes: standard and pre-reviewed ** Eval4NLP features two modes of submissions. Standard submissions: We invite the submission of papers that will receive up to three double-blind reviews from the Eval4NLP committee, and a final verdict from the workshop chairs. Pre-reviewed: To a later deadline, we invite unpublished papers that have already been reviewed, either through ACL ARR, or recent AACL/EACL/ACL/EMNLP/COLING venues (these papers will not receive new reviews but will be judged together with their reviews via a meta-review; authors are invited to attach a note with comments on the reviews and describe possible revisions). Final verdicts will be either accept, reject, or conditional accept, i.e., the paper is only accepted provided that specific (meta-)reviewer requirements have been met. Please also note the multiple submission policy. ** Optional Supplementary Materials ** Authors are allowed to submit (optional) supplementary materials (e.g., appendices, software, and data) to improve the reproducibility of results and/or to provide additional information that does not fit in the paper. All of the supplementary materials must be zipped into one single file (.tgz or .zip) and submitted via Openreview together with the paper. However, because supplementary materials are completely optional, reviewers may or may not review or even download them. So, the submitted paper should be fully self-contained. ** Preprints ** Papers uploaded to preprint servers (e.g., ArXiv) can be submitted to the workshop. There is no deadline concerning when the papers were made publicly available. However, the version submitted to Eval4NLP must be anonymized, and we ask the authors not to update the preprints or advertise them on social media while they are under review at Eval4NLP. ** Multiple Submission Policy ** Eval4NLP allows authors to submit a paper that is under review in another venue (journal, conference, or workshop) or to be submitted elsewhere during the Eval4NLP review period. However, the authors need to withdraw the paper from all other venues if they get accepted and want to publish in Eval4NLP. Note that AACL and ARR do not allow double submissions. Hence, papers submitted both to the main conference and AACL workshops (including Eval4NLP) will violate the multiple submission policy of the main conference. If authors would like to submit a paper under review by AACL to the Eval4NLP workshop, they need to withdraw their paper from AACL and submit it to our workshop before the workshop submission deadline. ** Best Paper Awards ** We will optionally award prizes to the best paper submissions (subject to availability; more details to come soon). Both long and short submissions will be eligible for prizes. ** Presenting Published Papers ** If you want to present a paper which has been published recently elsewhere (such as other top-tier AI conferences) at our workshop, you may send the details of your paper (Paper title, authors, publication venue, abstract, and a link to download the paper) directly to eval4nlp(a)gmail.com. We will select a few high-quality and relevant papers to present at Eval4NLP. This allows such papers to gain more visibility from the workshop audience and increases the variety of the workshop program. Note that the chosen papers are considered as non-archival here and will not be included in the workshop proceedings. ------------------------------------------------- Best wishes, Eval4NLP organizers Website: https://eval4nlp.github.io/2023/index.html Email: eval4nlp(a)gmail.com [1] https://eval4nlp.github.io/2023/index.html [2] https://eval4nlp.github.io/2023/shared-task.html [3] https://github.com/acl-org/acl-style-files [4] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N… [5] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2023/Workshop/Eval4N…

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SMASH: 2-year postdoctoral fellowships available
by Matthew Purver 18 Jul '23

18 Jul '23

A number of 2-year fellowships are available for postdoc researchers. Define your own research programme & move to beautiful Slovenia! Please note that possible research areas include NLP topics, possible hosts include the NLP groups at U Ljubljana and JSI, and that associated placement partners include our NLP lab at Queen Mary University of London. See below for more detail: Dear colleagues, The second call for applications for SMASH postdoctoral Fellowships, co-funded by Marie Sklodowska Curie Actions, is now open! SMASH offers excellent research opportunities that revolve around machine learning and its applications to the fields of climate research, linguistics, precision medicine and fundamental physics. In this call, SMASH aims to hire 20 fellows who will be hosted in five Slovenian institutions. They can also spend up to 1/3 of their 2-years appointments at one of our international academic partners (including top EU centres like Gravitation and Astroparticle Physics at the University of Amsterdam, and world-leading institutions like CERN and UC Berkeley) or at some of the most successful Slovenian companies. Each 2-year fellowship offers excellent working conditions, access to top infrastructure (including the HPC Vega), substantial research and travel funds and a salary that is significantly higher than local costs of living. The SMASH program values an inclusive culture and believes diversity is the key to success, so SMASH warmly welcomes applicants from underrepresented groups. Note also that SMASH offers a dedicated allowance to support applicants with special needs. In order to apply, fellows need to contact their desired supervisor who will assist them in preparing short research proposals and provide them with the necessary letters of support from the host institutions. For more information see: https://smash.ung.si/become-a-fellow/. The application deadline is October 27th. -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are Monday-Wednesday; responses to mail on other days may be delayed.*

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SPELLL 2023- Call for papers-reg
by Bharathi Raja Asoka Chakravarthi 18 Jul '23

18 Jul '23

Apologies for cross posting , We are delighted to announce the Call for Papers for the upcoming Second International Conference on Speech & Language Technology for Low-resource Languages (SPELLL 2023), scheduled to be held on 06-08 December 2023 at Kongu Engineering College, Erode, Tamil Nadu, India. The previous edition, SPELLL 2022 was held at Sri Sivasubramaniya Nadar College of Engineering, Chennai, India during 23-25 November, 2022. The proceedings of the first edition have been published in the Springer series: Communications in Computer and Information Science (CCIS). This proceedings can be accessed via https://link.springer.com/book/10.1007/978-3-031-33231-9. We would like to invite you to submit your research work and contribute to the success of the second edition, SPELLL 2023 <http://spelll.org/callforpapers.html>. SPELLL 2023 aims to bring together researchers, experts, and practitioners from diverse fields to foster intellectual discussions, exchange knowledge, and explore innovative solutions to the challenges of NLP. This interdisciplinary conference will provide a platform for participants to present their latest research findings, engage in vibrant discussions, and build valuable collaborations. Conference Link: http://spelll.org/ <http://spelll.org/committee.html>CALL FOR PAPERS This conference aims at bringing together researchers from across the world working on low-resourced and minority languages to create more speech and language technology for languages of the world. We invite submissions on topics that include, but are not limited to, the following: Track 1 - Language Resources (LRs) - Lexicons and machine-readable dictionaries - Linguistic Theories, Phonology, Morphological analysis, Syntax and Semantics - Corpus development, tools, analysis and evaluation - Issues in the design, construction and use of LRs: text, speech, sign, gesture, image, in single or multimodal/multimedia data - Exploitation of LRs in systems and applications - Annotation, analysis, enrichment of text archives Track 2 - Language Technologies (LT) - Code-mixing - Cognitive modeling and psycholinguistics - Computer-assisted language learning (call) - Covid-19 alert, NLP applications for emergency situations and crisis management - Equality, diversity, and inclusion for language technology - Fake news, spam, and rumour detection - Hate speech detection and offensive language detection - Machine translation, sentiment analysis, and text summarization - Text and data mining for social sciences and humanities research - Text and data mining of (bio) medical literature, including pandemics - Knowledge representation and reasoning - Knowledge graphs for corpora processing and analysis - Applications for language, data and knowledge - Question answering and semantic search - Text analytics on big data - Semantic content management - Computer-aided language learning - Natural language interfaces to big data - Knowledge-based NLP Track 3 - Speech Technologies (ST) - Speech technology and automatic speech recognition - Spoken dialog systems and analysis of conversation - Spoken language processing — translation, information retrieval, summarization resources and evaluation - Speaker verification and identification - Multimodal/multimedia speaker recognition and diarization - Analysis of speech and audio signals - Speech coding and enhancement - Speech recognition - architecture, search, and linguistic components - Speech, voice, and hearing disorders - Speech synthesis and spoken language generation - Cross-lingual and multilingual components for speech recognition / code switching Track 4 - Other related topics - Analysis of para-linguistics in speech and language - Multimodal analysis - Visualisation of social sciences and humanities research ------------------------------ SUBMISSION GUIDELINES Regular Papers Regular submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Regular papers may consist of 12 - 15 pages of content including references. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Short Papers SPELLL 2023 also solicits short papers. Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Some kinds of short papers are: - A small, focused contribution - Work in progress - Experience notes Short papers may consist of 6 - 8 pages including references. Short papers will be presented in one or more oral or poster sessions. While short papers will be distinguished from regular papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. However, page restrictions will not be followed strictly, if the authors wish to have more explanation of their work. Review Policy All submissions to SPELLL 2023 will be reviewed on the basis of originality, relevance, importance and clarity by at least two reviewers. The review process will be double blind and the authors should refer to themselves in third person when citing their own work. Phrases like "In our earlier work..." or "We previosuly showed that..." should be avoided when submitting the paper for review. *Author Guidelines* - Authors must follow the Springer LNCS formatting instructions. - For camera-ready papers use Latex or Word style <http://preview.springer.com/gp/computer-science/lncs/conference-proceedings…> provided on the authors' page for the preparation of papers. - The LaTeX Proceedings Template for scientific authoring platform in Overleaf. <https://www.overleaf.com/latex/templates/springer-lecture-notes-in-computer…> - Each paper will receive at least three reviews. At least one author of each accepted paper must register by the early registration date indicated on the conference website and present the paper. ------------------------------ Important Dates Paper Submission Due: Aug 4, 2023 Acceptance Notification: *September 20, 2023.* Camera Ready Submission: *October 15, 2023.* Conference: *December 06-08, 2023.* PUBLICATION Accepted papers that are presented at the conference will be published in the Springer series: Communications in Computer and Information Science (CCIS). with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathi.raja(a)universityofgalway.ie <bharathiraja.asokachakravarthi(a)universityofgalway.ie> Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en Website: https://www.universityofgalway.ie/our-research/people/bharathirajaasokachak…

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Postdoc at the University of Pennsylvania
by Lyle ungar 17 Jul '23

17 Jul '23

We are seeking a postdoctoral researcher to contribute to an interdisciplinary project focused on enhancing the reasoning and analytical rigor in reports analyzing complex geopolitical situations. This work is part of IARPA's REASON <https://www.iarpa.gov/research-programs/reason> initiative, under which we've united an extensive international team of computer scientists and subject matter specialists. Our goal is to develop and evaluate systems that aid intelligence analysts, and researchers more broadly, in crafting superior analyses of complex scenarios. Our goal is to improve the quality of arguments. Are they sound and persuasive? Does the report draw on appropriate evidence? Are there overlooked elements that warrant inclusion? Have potential counterarguments been adequately tackled? This work will involve building higher-level reasoning structures that then call large language models as functions to do the detailed analyses. apply here <https://docs.google.com/forms/d/e/1FAIpQLSfSl0x3IkKqg49HdZQoC6fCaCxOTQ-Gihr…> Joint work Chris Calison-Burch, Mark Yatskar, Lyle Ungar and a large team. -- Prof. Lyle H. Ungar The University of Pennsylvania <http://wwwp.org/> https://www.cis.upenn.edu/~ungar <http://www.cis.upenn.edu/~ungar> https://www.wwbp.org

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July 2023 Newsletter - LDC
by Penn LDC 17 Jul '23

17 Jul '23

In this newsletter: LanguageArc featured in Babel magazine Fall 2023 LDC Data Scholarship Program New publications: Mixer 7 Spanish Speech<https://catalog.ldc.upenn.edu/LDC2023S04> LORELEI Thai Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T08> ________________________________ LanguageArc featured in Babel magazine The May 2023 edition of Babel<https://cloud.3dissue.com/18743/41457/106040/BabelNo43/index.html> (The Language Magazine) features an article about LDC's citizen science portal LanguageArc<https://languagearc.com/> (Language Analysis Research Community) and the diverse projects available there that utilize a variety of novel incentives to supplement traditional methods of creating data resources. Consider LanguageArc for your next collection project. Note: a subscription is necessary to view the article. Fall 2023 LDC Data Scholarship Program Student applications for the Fall 2023 LDC Data Scholarship program are being accepted now through September 15, 2023. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarships page<https://www.ldc.upenn.edu/language-resources/data/data-scholarships>. ________________________________ New publications: Mixer 7 Spanish Speech<https://catalog.ldc.upenn.edu/LDC2023S04> was developed by LDC and contains 9,600 hours of audio recordings of interviews, transcript readings, and conversational telephone speech involving 191 distinct native Spanish speakers. This material was collected by LDC in 2011-2012 as part of the Mixer project, and the recordings were used in the 2012 NIST SRE test set. Recruited speakers were connected through a robot operator to carry on casual conversations on a pre-set topic lasting up to 10 minutes. Participants also visited LDC's human subjects collection lab equipped with a 14-microphone array where they participated in interviews and transcript readings and conducted up to 3 telephone calls under varying conditions. Selected speaker metadata was also collected. 2023 members can access this corpus through their LDC accounts. This corpus is a members-only release and is not available for non-member licensing. Contact ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> for information about membership. * LORELEI Thai Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T08> is comprised of over 39 million words of Thai monolingual text, 2.85 million words of found Thai-English parallel text, and 141,000 Thai words translated from English data. Over 186,000 words were annotated for named entities and more than 25,000 words were annotated for entity discovery and linking and situation frames (identifying entities, needs, and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance.

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DHd2024 Final Call for Papers
by Haider, Thomas 17 Jul '23

17 Jul '23

Dear colleagues, This is the final call for papers for DHd2024 in Passau. The deadline is already in a few days on 19.07.2023. Important dates: 19.07.2023 Submission Deadline 02.11.2023 Notification of acceptance 04.12.2023 Submission of camera ready version 04.12.2023 Start of registration 15.02.2024 End of registration 26.02.2024 - 01.03.2024 Conference in Passau Website: https://dhd2024.dig-hum.de/ Call for Papers: https://dhd2024.dig-hum.de/call-for-papers/ (also in English) Conftool: https://www.conftool.net/dhd2024/ Links for submission (Convalidator): https://dhd2024.dig-hum.de/submission/ Paper Guidelines: https://dhd2024.dig-hum.de/guidelines/ If you already had a Conftool account for DHd2023 in Trier, your registration details are the same. Please check and update your details. Best regards Thomas Haider ---- Dr. phil. Thomas Nikolaus Haider Digital Humanities and Multilingual Computational Linguistics University of Passau

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Second Call for papers: The First Bangla Language Processing Workshop (BLP 2023) Co-located with EMNLP 2023 in Singapore
by Firoj Alam 17 Jul '23

17 Jul '23

***Apologies for Cross-Posting*** Second Call for Papers: The first BNLP workshop aims to provide a forum for the NLP, speech and multimodal communities to share and discuss their ongoing work with the international community. We particularly focus on Bangla, which is a low-resource language, and assess its current state-of-the-art and discuss strategies to make further progress in NLP, speech and multimodal research. Through this workshop, we plan to bring researchers together to come up with frameworks and strategies that can later support other low-resource languages. We encourage researchers to submit their papers focusing on novel methodologies and resources that help towards the progress of Bangla and other low resource languages. Novel methodologies include, but are not limited to, zero-shot learning, unsupervised learning, and simple yet effective methods applicable to low-computation scenarios. We invite original research papers from a wide range of topics, including but not limited to: Natural Language Processing: Corpus and Resource Development, Language Modeling, Stemmer, POS Tagger, Named Entity Recognition, Relation Extraction, Spell and Grammar Checker, Question Answering, Semantics, Text Summarization, Machine Translation, Sentiment Analysis. Speech Processing: Speech Synthesis and Spoken Language Generation, Speech Recognition, Phonetics, Phonology, and Prosody, Spoken Dialog and Conversational System, Speaker and Language Detection. Multimodality: OCR - Handwriting, Printed Document, Sign Language Detection. Human Computer Interaction: Software for Disabled People, Multimodal HCI for Bangla. Important dates: Workshop paper due: 1 September 2023 Notification of acceptance: 6 October 2023 Camera-ready papers due: 18 October 2023 Workshop dates: 6-7 December 2023 All deadlines are 11:59pm anywhere on Earth (AoE). Submission Details: Papers must describe original, completed or in-progress, and unpublished work. All papers will be refereed through a double-blind peer review process by multiple reviewers with final acceptance decisions made by the workshop organizers. Accepted papers will be given up to 9 pages (for full papers), 5 pages (for short papers and posters) in the workshop proceedings, and will be presented as oral paper or poster. We are seeking submissions under the following category - Full papers (8 pages) - Short papers (work in progress, innovative ideas/proposals: 4 pages) - Shared task paper (4 pages) Both long and short papers must follow the EMNLP 2023 two-column format, using the supplied official templates [1]. The templates can be downloaded in style files and formatting. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Verification to guarantee conformance to publication standards, we will be using the ACL pubcheck tool [2]. The PDFs of camera-ready papers must be run through this tool prior to their final submission, and we recommend its use also at submission time. Submissions are open to all, and are to be submitted anonymously. For the anonymity, double-blind submission and reproducibility criteria please follow the EMNLP 2023 instructions [3]. If you have published in the field previously, and are interested in helping out in the program committee to review papers, please fill up this form <https://forms.gle/1WUYQjWT9UuqioX48> [4]. Submission portal: TBA Workshop Organizers: Firoj Alam, Qatar Computing Research Institute, HBKU, Qatar Sudipta Kar, Amazon Alexa AI, USA Shammur Absar Chowdhury, Qatar Computing Research Institute, HBKU, Qatar Farig Sadeque, BRAC University, Bangladesh Ruhul Amin, Fordham University, USA [1] https://2023.emnlp.org/calls/style-and-formatting/ [2] https://github.com/acl-org/aclpubcheck [3] https://2023.emnlp.org/calls/main_conference_papers/ [4] https://forms.gle/1WUYQjWT9UuqioX48 The Organizers

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Six PhD students and one postdoc: Neurosymbolic Models of Language, Vision, and Action - Saarbrücken, Germany
by Alexander Koller 16 Jul '23

16 Jul '23

The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for 6 PhD students and 1 postdoc October 2023 or later Neuroexplicit models combine neural and human-interpretable (“explicit”) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (“Language”), computer vision (“Vision”), and planning and reinforcement learning (“Action”) through the use of neuroexplicit models and investigate the cross-cutting design principles of effective neuroexplicit models (“Foundations”). The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbrücken, Germany. The positions are funded as follows: • PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master’s thesis or relevant publications. • The postdoc will initially be funded for three years, with the possibility of extension up to five years, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG’s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics Jörg Hoffmann, Saarland University - AI Planning Eddy Ilg, Saarland University - Computer Vision, Machine Learning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 31 May 2023 to bewerbung(a)uni-saarland.de. Include the reference number W2298 for the postdoc position and the reference number W2299 for the PhD positions. We aim to conduct job interviews in July (for a start in October) and September (for a later start). The legally binding version of this job ad is at https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… (postdoc) and https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaf… (PhD), respectively. For details on what materials to submit with your application and all other information about the RTG, please see our website: https://www.neuroexplicit.org/jobs/#phd-2023

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[Deadline extension] PHRAME closing event - Perugia, 27/28.11.2023
by Luciana Forti 15 Jul '23

15 Jul '23

PHRAME: Phraseological complexity measures in learner Italian. Integrating eye tracking, computational and learner corpus methods to develop second language pedagogical resources Closing event Perugia, 27-28 November 2023 SECOND CALL FOR PAPERS We invite contributions including, but not limited to, the following areas of research: - Corpus-based approaches in the study of L2 phraseology - Psycholinguistic approaches in the study of L2 phraseology - Computational and NLP approaches in the study of L2 phraseology - Complexity theory and second language acquisition studies - Mixed-methods approaches in the study of L2 phraseology - Syllabus design for the development of phraseological competence - Testing and assessing L2 phraseological competence Keynote speakers of the event will be: - Philip Durrant (University of Exeter) - Gabriele Pallotti (University of Modena and Reggio Emilia) - Anna Siyanova-Chanturia (University of Wellington and Ocean University of China) Guidelines - The event will be in-person only, with live-streaming. - Paper proposals may refer to languages other than Italian. - The abstracts for full paper presentations should be written in English. They should not exceed 500 words, references included. The abstract should be sent to progettophrame(a)gmail.com in a Word document containing the following information: - Title of the proposed presentation - Name of the author(s) - Affiliation of the author(s) - The presented papers will be collected and published. - Registration for in-person participation will open on 4th September and close on 10th November 2023. - The official languages of the event are Italian and English. Important dates 16 July 2023 31 July 2023: Abstract submission closes. 30 August 2023: Abstract reviews assigned. 17 September 2023: Abstract reviews completed. 22 September 2023: Notification to authors. 10 November 2023: Registration for in-person participation closes. 27-28 November 2023: PHRAME closing event. Any questions regarding the call for papers and the event may be directed to progettophrame(a)gmail.com. Scientific and organising Committee: Giulio Biondi, Veronica D’Alesio, Irene Fioravanti, Luciana Forti, Valentina Franzoni, Sabine Koesters Gensini, Francesca La Russa, Francesca Malagnini, Alfredo Milani, Maria Roccaforte, Valentino Santucci, Stefania Spina, Fabio Zanda. References - Altenberg, B. (1998). On the phraseology of spoken English: The evidence of recurrent word-combinations. In A. P. Cowie (Ed.), Phraseology: Theory, analysis and applications (pp. 101–122). Oxford University Press. - Paquot, M. (2018). Phraseological Competence: A Missing Component in University Entrance Language Tests? Insights From a Study of EFL Learners’ Use of Statistical Collocations. Language Assessment Quarterly, 1–15. - Sinclair, J. M. (1991). Corpus, Concordance, Collocation. Oxford University Press. - Siyanova-Chanturia, A., & Pellicer-Sánchez, A. (2019). Understanding Formulaic Language A Second Language Acquisition Perspective. Routledge. Web page of the event: PHRAME: Phraseological complexity Measures in learner Italian (Closing event) | | | | | | | | | | | PHRAME: Phraseological complexity Measures in learner Italian (Closing e... Second Call for Papers We invite contributions including, but not limited to, the following areas of research: C... | | |

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Call for Participation: Challenge on Medical Video Question Answering at TRECVID 2023
by Deepak Gupta 15 Jul '23

15 Jul '23

Dear colleagues and friends, This year, we are organizing the MedVidQA <https://medvidqa.github.io/>challenge with TRECVID 2023 <https://www-nlpir.nist.gov/projects/tv2023/index.html>. This challenge aims at developing models for (1) retrieving the relevant videos and locating the visual answer in those videos for the medical or health-related question and (2) generating the medical instructional questions from the video segments. Following the success of the 1st MedVidQA shared task <https://aclanthology.org/2022.bionlp-1.25/>, MedVidQA at TRECVID 2023 expanded the tasks and introduced a new track considering language-video understanding and generation. This track is comprised of two main tasks Video Corpus Visual Answer Localization (VCVAL) and Medical Instructional Question Generation (MIQG). For more details, please visit the challenge website ( https://medvidqa.github.io/) and TRECVID 2023 website ( https://www-nlpir.nist.gov/projects/tv2023/index.html). The link for submission: - Task 1 (VCVAL): https://codalab.lisn.upsaclay.fr/competitions/13445 <https://codalab.lisn.upsaclay.fr/competitions/13546> - Task 2 (MIQG): https://codalab.lisn.upsaclay.fr/competitions/13546 *Important Dates* - *Release of the training and validation datasets:* April 30, 2023 - *Release of the video corpus:* May 12, 2023 - *Release of the test sets:* July 14, 2023 - *Run submission deadline:* August 4, 2023 - *Release of the official results:* September 29, 2023 We look forward to your participation in MedVidQA at TRECVID 2023. Join our Google Group <https://groups.google.com/g/trecvid-medvidqa2023> for important updates! If you have any questions, ask in our Google Group <https://groups.google.com/g/trecvid-medvidqa2023> or email <deepak.gupta(a)nih.gov> us. Thank you, MedVidQA 2023 Organizers

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Linguamática V15N1 is available!
by Hugo Gonçalo Oliveira 14 Jul '23

14 Jul '23

---------------------------------------------------------------------- Linguamática Volume 15, Número 1 1647-0818 --- http://www.linguamatica.com ---------------------------------------------------------------------- ** Artigos relacionados com a DIP: Desafio de Identificação de Personagens ** Diana Santos, Cristina Mota, Emanoel Pires, Marcia Langfeldt, Rebeca Schumacher Fuão, Roberto Willrich. DIP - Desafio de Identificação de Personagens: objectivo, organização, recursos e resultados https://linguamatica.com/index.php/linguamatica/article/view/399/492 Eckhard Bick. Extração de Informação sobre Personagens Literários em Português https://linguamatica.com/index.php/linguamatica/article/view/397/490 Diana Santos, Cristina Mota. Pais, filhos e outras relações familiares no DIP https://linguamatica.com/index.php/linguamatica/article/view/402/493 Emanoel Pires, Marcia Caetano Langfeldt, Rebeca Schumacher Fuão. Desafios e vantagens do processo de identificação automática do gênero e das profissões das personagens no DIP https://linguamatica.com/index.php/linguamatica/article/view/401/491 Roberto Willrich, Diana Santos. Avaliação no Desafio de Identificação de Personagens https://linguamatica.com/index.php/linguamatica/article/view/398/494 ** Artigos de Investigação / Artículos de Investigación / Research Articles ** David Soares Batista. Extracção de Relações de Apoio e Oposição em Títulos de Notícias de Política em Português https://linguamatica.com/index.php/linguamatica/article/view/386/495 Cássio Faria da Silva, Vânia Paula de Almeida Neris, Helena de Medeiros Caseli. Classificação da qualidade da argumentação em tweets no domínio da política brasileira https://linguamatica.com/index.php/linguamatica/article/view/387/496 ** Novas Perspectivas / Nuevas Perspectivas / New Perspectives ** Átila Augusto Soares Vital. A compilação e a análise de métricas textuais de um corpus de redações https://linguamatica.com/index.php/linguamatica/article/view/393/497

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18 month postdoc position in Natural Language Processing at the University of Copenhagen
by Desmond Elliott 14 Jul '23

14 Jul '23

The Natural Language Processing Section at the Department of Computer Science at University of Copenhagen is advertising an 18 month position for a Postdoctoral Researcher in Natural Language Processing. The position is funded by a VILLUM Young Investigator Grant held by the principal investigator, Desmond Elliott. The overall goal of the project is to develop a new family of language models that can process any written language by rendering text as images, which allows the models to learn from the visual similarities between written languages, facilitating effective transfer to lower-resource or unseen languages. The Natural Language Processing Section provides a strong, international and diverse environment for research within core as well as emerging topics in natural language processing, natural language understanding, computational linguistics and multi-modal language processing. It is housed within the main Science Campus, which is centrally located in Copenhagen. Further information about research at the Department is available here: https://di.ku.dk/english/research/. The application deadline is 31 August 2023, with a preferred start date of January 2024, or as soon as possible thereafter. More information and your application can be submitted here: https://di.ku.dk/english/about/vacancies/postdoc-in-natural-language-proces… Informal enquiries about the positions can be made to Desmond Elliott, Department of Computer Science, University of Copenhagen, e-mail: de(a)di.ku.dk.

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Three PhD students, one postdoc on neurosymbolic models
by Alexander Koller 14 Jul '23

14 Jul '23

The Research Training Group 2853 “Neuroexplicit Models of Language, Vision, and Action” is looking for 3 PhD students and 1 postdoc November 2023 or later Neuroexplicit models combine neural and human-interpretable (“explicit”) models in order to overcome the limitations that each model class has separately. They include neurosymbolic models, which combine neural and symbolic models, but also e.g. combinations of neural and physics-based models. In the RTG, we will improve the state of the art in natural language processing (“Language”), computer vision (“Vision”), and planning and reinforcement learning (“Action”) through the use of neuroexplicit models and investigate the cross-cutting design principles of effective neuroexplicit models (“Foundations”). The RTG is scheduled to grow to a total of 24 PhD students and one postdoc by 2025. Through the inclusion of ~20 further PhD students and postdocs funded from other sources, it will be one of the largest research centers on neuroexplicit or neurosymbolic models in the world. The RTG brings together researchers at Saarland University, the Max Planck Institute for Informatics, the Max Planck Institute for Software Systems, the CISPA Helmholtz Center for Information Security, and the German Research Center for Artificial Intelligence (DFKI). All of these institutions are colocated on the same campus in Saarbrücken, Germany. In a previous round of recruiting, we have already filled three PhD positions, leaving three positions free for applicants with a later MSc graduation date. The positions are funded as follows: • PhD students will be funded for up to four years at the TV-L E13 100% pay scale. You should have or be about to complete an MSc degree in computer science or a related field and have demonstrated expertise in one of the research areas of the RTG, e.g. through an excellent Master’s thesis or relevant publications. • The postdoc will initially be funded for three years, with the possibility of extension up to five years, at the TV-L E13 100% pay scale. As the RTG postdoc, you will pursue your own research agenda in the field of neuroexplicit models and work with the PhD students to identify and pursue opportunities for collaborative research. You should have or be about to complete a PhD in computer science or a related field and have demonstrated your expertise in one or more of the RTG’s research areas through publications in top venues. The RTG is part of the Saarland Informatics Campus, one of the leading centers for research in computer science, artificial intelligence, and natural language processing in Europe. The Saarland Informatics Campus brings together 900 researchers and 2500 students from 81 countries. The CISPA Helmholtz Center, located on the same campus, is home to an additional 350 researchers and on track to grow to 800 by 2026. Researchers at SIC and CISPA are part of the ELLIS network and have been awarded more than 35 ERC grants. Each PhD student in the RTG will be jointly supervised by two PhD advisors from the list of Principal Investigators below. Each student will freely define their own research topic; we encourage the choice of topics that cross the traditional boundaries of research fields. Students may be affiliated with Saarland University or with one of the participating institutes. Vera Demberg, Saarland University - Computational Linguistics Jörg Hoffmann, Saarland University - AI Planning Eddy Ilg, Saarland University - Computer Vision, Machine Learning Dietrich Klakow, Saarland University - Natural Language Processing Alexander Koller, Saarland University - Computational Linguistics Bernt Schiele, MPI for Informatics - Computer Vision, Machine Learning Philipp Slusallek, DFKI and Saarland University - Computer Graphics, Artificial Intelligence Christian Theobalt, MPI for Informatics - Visual Computing, Machine Learning Mariya Toneva, MPI for Software Systems - Computational Neuroscience, Machine Learning Isabel Valera, Saarland University - Machine Learning Jilles Vreeken, CISPA - Machine Learning, Causality Joachim Weickert, Saarland University - Mathematical Data Analysis Verena Wolf, DFKI and Saarland University - Modeling and Simulation, Reinforcement Learning Ellie Pavlick, Brown University and Google AI, will join us regularly as a Mercator Fellow. Please send your application by 31 July 2023 to apply(a)neuroexplicit.org. Include the reference number W2350 for the postdoc position and the reference number W2351 for the PhD positions. We aim to conduct job interviews in September, ideally in person in Saarbrücken, Germany. Make sure to check the RTG website for details on the application process and what materials to include in the application: https://www.neuroexplicit.org/jobs For all further information about the RTG, check out our website: https://www.neuroexplicit.org/

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Call for papers - AAC/CFP Corpus 26 - 2025
by Luca Pallanti 13 Jul '23

13 Jul '23

AAC/CFP Corpus 26 - 2025 - https://journals.openedition.org/corpus/ <https://journals.openedition.org/corpus/> Background noise or added value? Managing noise during computer processing of linguistic corpora Elisa Gugliotta, Luca Pallanti, Olivier Kraif, Iris Fabry et Martina Barletta (eds.) -------FRENCH VERSION BELOW----- The increasing influence of NLP-related methodologies on corpus linguistics has compelled researchers to reassess their practices for managing noise and its impact on research results (Fuchs & Habert, 2004; Léon, 2018; Zalmout et al., 2018). Whether working with long-diachronic corpora (e.g., medieval French), dialectal corpora with limited resources (e.g., oral or written texts in dialectal Arabic, cf. Arabizi), or corpora of texts deviating from the norm (e.g., learner corpora), conducting noise analysis becomes an essential step in drawing linguistic conclusions from the available data (Molinelli & Putzu, 2015; Scaglione, 2018; Litosseliti, 2018). This special issue of Corpus builds upon a workshop held in April 2023 (https://je-bruit-corpus.sciencesconf.org/) and offers an opportunity to examine noise management methods in the fields of NLP and corpus linguistics, as well as their impact on the quality of linguistic data (Kraif & Ponton, 2007; Goutte et al., 2012; Zeroual, 2018). The fundamental inquiries in any linguistic study revolve around defining the research object, understanding the nature of the data, and determining ways to preserve its inherent characteristics throughout the various processing steps (such as lemmatisation, normalisation, labelling, etc.) (Sarrica et al., 2016). Hence, selecting appropriate methods for identifying and controlling noise becomes crucial throughout the entire process, from data collection to the archiving phase, and from data preparation to annotation (Egbert & Baker, 2019). The definition of noise itself is diverse and far from self-evident. In the field of NLP alone, this term encompasses a wide range of highly heterogeneous phenomena, including web peritexts - such as hyperlinks, menus and computer codes - as well as code switching and instances of spelling or grammatical errors that punctuate productions (Al Sharou et al., 2021). This special issue aims to delve into the definition of noise, from a linguistic perspective, and the practices employed by researchers to mitigate the biases that can arise from it. These practices are implemented during collection, recording, and annotation of data. The question of noise inevitably emerges at each stage of the empirical process involved in data construction and analysis: 1. Noise during data collection and recording If one accepts the postulate that "linguistic data is a result" (Benveniste, 1966), decoding the noise stemming from data collection and recording becomes crucial. Depending on the research object, various factors may contribute to data alteration, including the researcher's preconceptions or the biases introduced by an OCR system (Jentsch & Porada, 2020). The key challenge lies in predicting or identifying the potential biases induced by these factors during the selection and formatting of data. This enables better control over subsequent research stages and ensures greater accuracy in the analysis process. 2. Data preparation and pre-processing The methods employed to refine raw data and prepare it for advanced manipulation can give rise to a significant source of noise (or, conversely, of silence, if noise elimination filters are applied). This is particularly evident during the data normalization process (Al Sharou et al., 2021). When transcribing data or correcting errors, researchers must make choices that inevitably influence the nature of the data, either by reducing or enriching its content. As a result, it becomes essential to anticipate the consequences of the transformations introduced by data processing methods (Tanguy, 2012). 3. The annotation process and metadata Initially, corpus annotation aims to enrich the data by categorizing units through a labelling process, depending on the developed analysis model (Péry-Woodley et al., 2011). However, while this process has the potential to introduce noise, it can result in detrimental silence (when missing or erroneous labels lead to incomplete results during data analysis or querying). The concept of metadata also raises questions: does categorizing data transform it into something different? Furthermore, does the absence of agreement or low agreement in annotations produced by humans reflect inter-individual variations akin to noise, or does it stem from the inherent vagueness of the categorizations themselves? *** At each and every step of the process, key methodological questions arise: what threshold can be considered acceptable for noise? How can we differentiate between noise and methodological bias? Is it possible to estimate noise without a ground truth? Which statistical tools are specific to corpus studies and enable the definition of confidence intervals? How can we strike a balance to prevent the noise resulting from compromising research outcomes? *** Proposals for articles may address these topics from a general point of view, offering a theoretical and methodological perspective. Alternatively, they can be based on one or more case studies that focus on specific observations, while highlighting the noise management methods employed throughout the study. References Al Sharou, K., Li, Z., & Specia, L. (2021). Towards a Better Understanding of Noise in Natural Language Processing. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 5362. https://aclanthology.org/2021.ranlp-1.7 Benveniste, É. (1966). Problèmes de linguistique générale. Gallimard. Egbert, J., & Baker, P. (Eds.). (2019). Using corpus methods to triangulate linguistic analysis. Routledge. Fuchs, C., & Habert, B. (2004). Le traitement automatique des langues : Des modèles aux ressources. Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), LXXII: 1, online. Goutte, C., Carpuat, M., & Foster, G. (2012). The impact of sentence alignment errors on phrase-based machine translation performance. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers. Jentsch, P., & Porada, S. (2020). From Text to Data : Digitization, Text Analysis and Corpus Linguistics. In S. Schwandt (Éd.), Digital Humanities Research (1re éd., Vol. 1, p. 89128). transcript Verlag / Bielefeld University Press. https://doi.org/10.14361/9783839454190-004 Kraif, O., & Ponton, C. (2007). Du bruit, du silence et des ambiguïtés : Que faire du TAL pour l'apprentissage des langues ? TALN 2007, 143152. https://hal.archives-ouvertes.fr/hal-01073706 Léon, J. (2018). Tal et linguistique : Application, expérimentation, instrumentalisation. ELA. Etudes de linguistique appliquee, 2(190), 195203. Litosseliti, L. (Ed.). (2018). Research methods in linguistics. Bloomsbury Publishing. Molinelli, P., & Putzu, I. (2015). Modelli epistemologici, metodologie della ricerca e qualità del dato. Dalla linguistica storica alla sociolinguistica storica. Franco Angeli. Péry-Woodley, M.-P., Afantenos, S. D., Ho-Dac, L.-M., & Asher, N. (2011). La ressource ANNODIS, un corpus enrichi d'annotations discursives. TAL, 52(3), 71101. Sarrica, M., Mingo, I., Mazzara, B., & Leone, G. (2016). The effects of lemmatization on textual analysis conducted with IRaMuTeQ: results in comparison. JADT2016: 13ème Journées Internacionales d'Analyse Statistique de Données Textuelles. Scaglione, F. (2018). "Lavorare"; il dato linguistico: Prospettive e limiti. Alcune considerazioni dall'esperienza dell'Atlante Linguistico della Sicilia (ALS). In G. Sampino (Éd.), Atti del convegno internazionale dei dottorandi (p. 101122). Tanguy, L. (2012). Complexification des données et des techniques en linguistique : contribution du TAL aux solutions et aux problèmes. HDR dissertation, Université de Toulouse 2 - le Mirail. Zalmout, N., Erdmann, A., & Habash, N. (2018). Noise-robust morphological disambiguation for dialectal Arabic. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 953-964). Zeroual, I. (2018). Building Arabic Corpora: Concepts, Methodologies, Tools, and Experiments (Doctoral dissertation, University of Maryland, USA). Retro-planning * July 2023: call for publications. * November 2023: pre-selection based on article summaries. * March 2024: article submission deadline. * June 2024: response to the authors. * June-October 2024: review process with authors to submit the final version of the article. * November-December 2024: editing process. * January 2025: publication. Please note that this retro-planning outlines a general timeline and may vary depending on the specific publication requirements. Abstract submission * Your abstract should be no longer than 1,500 words, including bibliographical references. * Please submit your abstracts by November 6, 2023 to elisa.gugliotta(a)ilc.cnr.it and luca.pallanti(a)univ-lyon2.fr. ----- FRENCH VERSION------ Bruit de fond ou valeur ajoutée ? Gérer le bruit lors des traitements informatiques des corpus linguistiques Sous la direction de Elisa Gugliotta, Luca Pallanti, Olivier Kraif, Iris Fabry et Martina Barletta English version below L'influence croissante des méthodologies liées au TAL sur la linguistique de corpus oblige les chercheurs à réinterroger les pratiques de gestion du bruit et son impact dans les résultats de recherche (Fuchs & Habert, 2004 ; Léon, 2018 ; Zalmout et al., 2018). Qu'il s'agisse de corpus en diachronie longue (ex. français médiéval), de corpus dialectaux aux ressources limitées (ex. textes oraux ou écrits en arabe dialectal, cf. arabizi), ou encore de corpus de textes éloignés de la norme (ex. corpus d'apprenants), l'analyse du bruit est une étape nécessaire pour tirer des conclusions linguistiques des données ainsi évaluées (Molinelli & Putzu, 2015 ; Scaglione, 2018 ; Litosseliti, 2018). Ce numéro thématique de la revue Corpus, qui fait suite à une journée d'étude sur le même thème organisée en avril 2023 (https://je-bruit-corpus.sciencesconf.org/), sera l'occasion de réfléchir sur les méthodes de gestion du bruit dans les domaines du TAL et de la linguistique de corpus outillée, et à son impact sur la qualité des données linguistiques (Kraif et Ponton, 2007 ; Goutte et al., 2012 ; Zeroual, 2018). Les questions sous-jacentes à toute étude linguistique concernent la définition de l'objet de recherche, la nature des données elles-mêmes, et la manière de préserver autant que possible leurs caractéristiques dans les différents traitements (lemmatisation, normalisation, étiquetage, etc.) (Sarrica et al., 2016). Ainsi, le choix des méthodes d'identification et de contrôle du bruit, de la phase de collecte à celle d'archivage, de la préparation des données à l'annotation, joue un rôle fondamental (Egbert & Baker, 2019). La définition même du bruit est multiple, et ne va pas de soi : dans le seul champ du TAL, ce terme, souvent peu interrogé, désigne des phénomènes variables et très hétérogènes, allant des péritextes du Web - hyperliens, menus et codes informatiques - au code switching, en passant par les erreurs d'orthographe ou de grammaire qui émaillent les productions (Al Sharou et al., 2021). Ce numéro thématique propose de mener une réflexion sur la définition du bruit, dans une perspective linguistique, et sur les pratiques des chercheurs visant à réduire la portée des biais qui en découlent, que ce soit durant la collecte, l'enregistrement ou l'annotation des données. Dans le concret de la recherche, la question du bruit se pose à chaque étape de la démarche empirique de construction et d'analyse des données : 1. Le bruit pendant la collecte et l'enregistrement des données Si l'on accepte le postulat selon lequel " la donnée linguistique est un résultat " (Benveniste, 1966), comment décoder le bruit causé par le recueil des données et leur enregistrement ? En effet, en fonction des objets de recherche, il existe des facteurs potentiels d'altération des données, comme par exemple les préconceptions du chercheur, ou les biais introduits par un système OCR donné (Jentsch & Porada, 2020). L'enjeu consiste alors à prédire ou à déterminer les biais potentiels induits par ces facteurs lors de la sélection et la mise en forme des données pour mieux contrôler les phases de recherche successives. 2. La préparation et le prétraitement des données. Les méthodes choisies pour affiner les données brutes et les rendre disponibles pour des manipulations avancées peuvent représenter une importante source de bruit (ou, au contraire, de silence si on applique un filtre pour éliminer le bruit) : c'est notamment le cas du processus de normalisation des données (Al Sharou et al., 2021). Qu'il s'agisse de transcrire des données ou de corriger des erreurs, le chercheur fait des choix qui impactent nécessairement la nature des données, soit en les réduisant, soit en les enrichissant. Il s'agit donc d'anticiper les conséquences des transformations produites par les méthodes de traitement des données (Tanguy, 2012). 3. Le processus d'annotation et les métadonnées À la base, l'annotation des corpus est une étape visant l'enrichissement des données : en fonction du modèle d'analyse mis au point, le chercheur tente de catégoriser des unités à travers un processus d'étiquetage (Péry-Woodley et al., 2011). Cependant, si d'un côté ce processus peut générer du bruit, de l'autre, il peut être une cause de silence fort préjudiciable aux résultats des recherches et à leur interprétation (des étiquettes absentes ou erronées pouvant générer des résultats lacunaires lors de l'analyse ou du requêtage des données). La notion de métadonnée peut également être mise en cause : catégoriser une donnée signifie-t-il la transformer en quelque chose d'autre ? Par ailleurs, l'absence d'accord ou un faible accord dans les annotations produites par l'humain manifeste-t-il des variations interindividuelles assimilables à du bruit, ou au caractère trop vague des catégorisations en jeu ? *** A chaque étape se posent des questions méthodologiques centrales : à partir de quel seuil peut-on considérer le bruit comme acceptable ? Comment différencier bruit et biais méthodologique ? Comment estimer le bruit sans vérité de terrain ? Quels outils statistiques spécifiques à l'étude des corpus permettent de délimiter des intervalles de confiance ? Comment atteindre l'équilibre nécessaire pour que le bruit causé par les traitements des données ne compromette pas les résultats des recherches ? *** Les propositions d'article pourront aborder ces questions d'un point de vue général, sous un angle théorique et méthodologique, ou s'appuyer sur une ou plusieurs études de cas portant sur des observations particulières, en prenant soin de mettre en lumière les méthodes de gestion du bruit tout au long de l'étude. Retro-planning * Juillet 2023 : publication du l'Appel * Novembre 2023 : pré-sélection sur résumé * Mars 2024 : remise des articles. Juin 2024 : réponse aux auteurs * Juin-octobre 2024 : navette avec les auteurs pour remise de l'article en forme définitive. * Novembre-décembre 2024 : édition. * Janvier 2025 : publication. Soumission des résumés * Votre résumé comptera 1.500 mots au maximum, références bibliographiques inclues. * Merci de soumettre vos résumés pour le 6 novembre 2023 aux adresses elisa.gugliotta(a)ilc.cnr.it et luca.pallanti(a)univ-lyon2.fr Références Al Sharou, K., Li, Z., & Specia, L. (2021). Towards a Better Understanding of Noise in Natural Language Processing. Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021), 5362. https://aclanthology.org/2021.ranlp-1.7 Benveniste, É. (1966). Problèmes de linguistique générale. Gallimard. Egbert, J., & Baker, P. (Eds.). (2019). Using corpus methods to triangulate linguistic analysis. Routledge. Fuchs, C., & Habert, B. (2004). Le traitement automatique des langues : Des modèles aux ressources. Le Français Moderne - Revue de linguistique Française, CILF (conseil international de la langue française), LXXII: 1, online. Goutte, C., Carpuat, M., & Foster, G. (2012). The impact of sentence alignment errors on phrase-based machine translation performance. In Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers. Jentsch, P., & Porada, S. (2020). From Text to Data : Digitization, Text Analysis and Corpus Linguistics. In S. Schwandt (Éd.), Digital Humanities Research (1re éd., Vol. 1, p. 89128). transcript Verlag / Bielefeld University Press. https://doi.org/10.14361/9783839454190-004 Kraif, O., & Ponton, C. (2007). Du bruit, du silence et des ambiguïtés : Que faire du TAL pour l'apprentissage des langues ? TALN 2007, 143152. https://hal.archives-ouvertes.fr/hal-01073706 Léon, J. (2018). Tal et linguistique : Application, expérimentation, instrumentalisation. ELA. Etudes de linguistique appliquee, 2(190), 195203. Litosseliti, L. (Ed.). (2018). Research methods in linguistics. Bloomsbury Publishing. Molinelli, P., & Putzu, I. (2015). Modelli epistemologici, metodologie della ricerca e qualità del dato. Dalla linguistica storica alla sociolinguistica storica. Franco Angeli. Péry-Woodley, M.-P., Afantenos, S. D., Ho-Dac, L.-M., & Asher, N. (2011). La ressource ANNODIS, un corpus enrichi d'annotations discursives. TAL, 52(3), 71101. Sarrica, M., Mingo, I., Mazzara, B., & Leone, G. (2016). The effects of lemmatization on textual analysis conducted with IRaMuTeQ: results in comparison. JADT2016: 13ème Journées Internacionales d'Analyse Statistique de Données Textuelles. Scaglione, F. (2018). "Lavorare"; il dato linguistico: Prospettive e limiti. Alcune considerazioni dall'esperienza dell'Atlante Linguistico della Sicilia (ALS). In G. Sampino (Éd.), Atti del convegno internazionale dei dottorandi (p. 101122). Tanguy, L. (2012). Complexification des données et des techniques en linguistique : contribution du TAL aux solutions et aux problèmes. HDR dissertation, Université de Toulouse 2 - le Mirail. Zalmout, N., Erdmann, A., & Habash, N. (2018). Noise-robust morphological disambiguation for dialectal Arabic. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers) (pp. 953-964). Zeroual, I. (2018). Building Arabic Corpora: Concepts, Methodologies, Tools, and Experiments (Doctoral dissertation, University of Maryland, USA).

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MRes in Translation and Interpreting Studies 2023-2024
by Constantin Orasan 13 Jul '23

13 Jul '23

The Centre for Translation Studies (CTS) at University of Surrey invites applications for a place in our MRes in Translation and Interpreting Studies course (academic year 2023-24 entry). Students attending this course get in-depth, systematic research training in translation and interpreting. This unique and innovative course is the first of its kind in the UK and draws on the research areas CTS is well known for: translation and interpreting technologies, translation as intercultural mediation, corpus-based translation, audiovisual translation, machine translation and Natural Language Processing for translation/interpreting. The research we carry out at CTS is in touch with recent technological and social developments, as we maintain a strong focus on the responsible integration of technologies in workflows where multilingual and multimodal mediation is key. As an MRes student, you will take two compulsory taught modules and select two optional modules (60 credits). You will then complete your degree with a dissertation (120 credits), which is longer than in a typical MA dissertation format, thus allowing you to research a topic in greater depth. This year, we invite in particular students interested in pursuing dissertation topics related to: - NLP and generative AI for multilingual communication - accessibility services in museums For further inspiration, take a look at what past students say about the course and their MA projects: https://www.surrey.ac.uk/student-life/what-our-students-say/zeynep-polat-po… And for more details about the programme or how to apply visit: https://www.surrey.ac.uk/postgraduate/translation-and-interpreting-studies-… If you feel that an MRes is not for you, you can check our other postgraduate courses on topics related to translation and interpreting at: https://www.surrey.ac.uk/centre-translation-studies/study/postgraduate-cour… Watch our new video "More than an MA": https://www.youtube.com/watch?v=R2oVf3X2LEg --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies University of Surrey https://dinel.org.uk

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[CfP] SEMANTiCS 2023 – Open Call for Workshop Papers
by Anisa Rula & Jennifer D'Souza 13 Jul '23

13 Jul '23

* We apologize if you receive multiple copies of this CFP * * For the online version of this call, visit: https://2023-eu.semantics.cc/page/workshops * SEMANTiCS 2023 (20th-22nd September - Leipzig, Germany) is hosting an enriched collection of three workshops. Please find the relevant workshops still open for accepting your submissions as long and short paper contributions below. # Onto4FAIR: 3rd Workshop on Ontologies for FAIR and FAIR Ontologies Organizers: Cassia Trojahn (Institut de Recherche en Informatique de Toulouse, France), Luiz Olavo Bonino da Silva Santos (University of Twente, Leiden University Medical Centre, the Netherlands), Giancarlo Guizzardi (University of Twente, the Netherlands), Clement Jonquet (French National Research Institute for Agriculture, Food and Environment, Mathematics, Informatics and Statistics for Environment and Agronomy research unit, Montpellier, France) https://onto4fair.github.io/2023-semantics.html # NLP4KGC: 2nd Workshop on Natural Language Processing for Knowledge Graph Construction Organizers: Edlira Vakaj (Birmingham City University, Bermingham, UK), Sanju Tiwari (Universidad Autónoma de Tamaulipas, Tamaulipas, Mexico), Rizou Stamatia (Singular Logic, Athens, Greece), Nandana Mihindukulasooriya (IBM Research, Dublin, Ireland), Fernando Ortiz-Rodríguez (Universidad Autónoma de Tamaulipas, Tamaulipas, Mexico), Ryan Mcgranaghan (NASA Jet Propulsion Laboratory, California, United States) https://sites.google.com/view/2nd-nlp4kgc/home We are looking forward to your contribution! Workshop & Tutorial Chairs

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Faculty positions available at Queen Mary University of London
by Matthew Purver 13 Jul '23

13 Jul '23

The School of Electronic Engineering and Computer Science at Queen Mary University of London is currently advertising up to 15 faculty positions at Lecturer (= Assistant Professor) or Senior Lecturer (= Associate Professor) levels, seeking candidates with experience and research interests in a range of topics generative AI, explainable AI and responsible AI. Please see this link for more information: https://www.qmul.ac.uk/jobs/vacancies/items/8638.html Closing date is 1st August 2023. -- Matthew Purver - http://www.eecs.qmul.ac.uk/~mpurver/ Computational Linguistics Lab - http://compling.eecs.qmul.ac.uk/ Cognitive Science Research Group - http://cogsci.eecs.qmul.ac.uk/ School of Electronic Engineering and Computer Science Queen Mary University of London, London E1 4NS, UK *My working days for QMUL are Monday-Wednesday; responses to mail on other days may be delayed.*

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Extended Deadline, CASE @ RANLP 2023: CFP: Automated Extraction of Socio-political Events from Text - CASE @ RANLP 2023
by ali hürriyetoglu 12 Jul '23

12 Jul '23

Call for workshop papers: the 6th workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - CASE @ RANLP 2023 ************************************************************************************ URL: https://emw.ku.edu.tr/case-2023/ (new) Paper submission deadline: 24 July 2023 Paper acceptance notification: 5 August 2023 Paper camera-ready: 25 August 2023 Workshop dates: 7-8 September 2023 Softconf page of the workshop: https://softconf.com/ranlp23/CASE/ ************************************************************************************ We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of socio-political event data. This includes (but is not limited to) the following topics 1) Extracting events and their arguments such as time and location in and beyond a sentence or document, event coreference resolution. 2) Research in NLP technologies in relation to event detection: geocoding, temporal reasoning, argument structure detection, syntactic and semantic analysis of event structures, text classification, for event type detection, learning event-related lexica, event co-reference resolution, fake news analysis, and others with a focus on real or potential event detection applications. 3) New datasets, training data collection, and annotation for event information. 4) Event-event relations, e.g., subevents, main events, spatio-temporal relations, causal relations. 5) Event dataset evaluation in light of reliability and validity metrics. 6) Defining, populating, and facilitating event schemas and ontologies. 7) Automated tools and pipelines for event collection related tasks. 8) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 9) Methodologies for development, evaluation, and analysis of event datasets. 10) Applications of event databases, e.g. early warning, conflict prediction, and policymaking. 11) Estimating what is missing in event datasets using internal and external information. 12) Detection of new and emerging socio-political event (SPE) types, e.g. creative protests. 13) Release of new event datasets. 14) Bias and fairness of the sources and event datasets. 15) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 16) Copyright issues on event dataset creation, dissemination, and sharing. 17) Cross-lingual, multilingual and multimodal aspects in event analysis. 18) Resources and approaches related to contentious politics around climate change. **** Shared tasks **** Please check the workshop page and Github repositories of the respective task for additional details. Task 1 - Multilingual protest news detection: Contact person: Ali Hürriyetoğlu (ali.hurriyetoglu(a)gmail.com), Github: https://github.com/emerging-welfare/case-2022-multilingual-event Task 2 - Collecting and Geocoding Armed Clash Events in Russian Ukrainian Conflict: Contact person: Hristo Tanev (hristo.tanev(a)ec.europa.eu) and Onur Uca (onuruca(a)mersin.edu.tr), Github: https://github.com/zavavan/case2023_task2 Task 3 - Event causality identification: Contact person: Fiona Anting Tan ( tan.f(a)u.nus.edu) Github: https://github.com/tanfiona/CausalNewsCorpus Task 4 - Multimodal Hate Speech Event Detection: Contact person: Surendrabikram Thapa (surendrabikram(a)vt.edu), Github: https://github.com/therealthapa/case2023_task4 *** Keynotes *** We will continue our tradition of inviting keynote speakers from both social and computational sciences. The social science keynote will be delivered by Erdem Yörük with the title “Using Automated Text Processing to Understand Social Movements and Human Behaviour” and the computational ones will be delivered by Ruslan Mitkov and Kiril Simov. Please see the workshop webpage (https://emw.ku.edu.tr/case-2023/) for additional details.

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FINAL CALL: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)
by Marina Litvak 12 Jul '23

12 Jul '23

** apologies for cross-posting *** ================================================== *FINAL CALL: ML/NLP Competition on Automatic Classification of Literary Epochs (CoLiE)* To advance the field of implicit temporal information retrieval from a text, this competition aims to challenge participants to develop automatic methods to identify the literary epochs of a given text, which is considered here as an implicit temporal context of a book. The task on Automatic Classification of Literary Epochs (CoLiE) aims at automatic identification of the literary epoch of a given text from its writing style: (1) Romanticism (1798-1837), (2) Victorian Literature (1837-1901), (3) Modernism (1900-1945), (4) Postmodernism (1945-2000), and (5) our days (from 2000). The competition is held as a part of the IACT’23 <https://en.sce.ac.il/news/iact23> workshop, held on July 27, 2023, in conjunction with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval This competition is open to anyone with a passion for information retrieval, machine learning, and natural language processing. Whether you are a seasoned expert or a newcomer to the field, we welcome you to participate and extend the boundaries of automated text analysis! Competition site: http://www.kaggle.com/competitions/colie Competition Timeline - May 28, 2023: The competition is open to participants. Training and validation sets together with their labels are available. - July 10, 2023: Test dataset available. - July 17, 2023, 23:59 UTC: Final submission deadline. - July 27, 2023: The winners are announced at the special session at the IACT'23 <https://en.sce.ac.il/news/iact23> workshop. *The organizing team* - Dr. Marina Litvak (marinal(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Dr. Irina Rabaev (irinar(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel - Prof. Ricardo Campos (ricardo.campos(a)ipt.pt), Ci2 - Smart Cities Research Center, Polytechnic Institute of Tomar INESC TEC, Porto Porto, Portugal - Prof. Alípio Mário Jorge (amjorge(a)fc.up.pt) University of Porto Porto, Portugal - Prof. Adam Jatowt (adam.jatowt(a)uibk.ac.at) University of Innsbruck, Innsbruck, Austria - Mr. Vladimir Younkin (vladiyo(a)ac.sce.ac.il), Software Engineering Department, Shamoon College of Engineering, Beer Sheva, 84100, Israel -- Best regards, Marina Litvak

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1st CfP: 7th Workshop on Natural Language for Artificial Intelligence (NL4AI)
by Dominique Brunato 12 Jul '23

12 Jul '23

[Apologies for cross-posting] ***************************************************************************************************** *CALL FOR PAPERS* 7th Workshop on Natural Language for Artificial Intelligence (NL4AI) at the 22nd International Conference of the Italian Association for Artificial Intelligence (AIxIA 2023) November 6th - 9th, 2023, Rome, Italy Website: http://sag.art.uniroma2.it/NL4AI/ http://www.aixia2023.cnr.it/ ***************************************************************************************************** *IMPORTANT DATES* Paper submission deadline: September 11th, 2023 Notification of paper acceptance: September 29th, 2023 Camera-ready version deadline: October 9th, 2023 Workshop (at AI*IA 2023): November 6th - 9th, 2023 ***************************************************************************************************** *INTRODUCTION* The goal of the NL4AI workshop is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities rise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. * *** *TOPICS OF INTEREST* We invite papers that pertain to the workshop theme including, but not limited, to: * NLP and AI Applications (health, legal domain, social media and journalism, etc.) * Natural Language Interfaces for Human Robot Interaction * Resources and Evaluation * Discourse and Pragmatics * Natural Language Generation * Information extraction in AI applications * Machine Learning for NLP * Sentiment analysis and Opinion mining * Natural Language Inference * NLP and Industrial Challenges * Semantics * Conversational Agents in Human-Computer Interaction * Cognitive modeling and psycholinguistics * Language and other Multimodality * Speech and Spoken language processing * Ethics and NLP * Interpretability, Explainability and Analysis of Models for NLP * Abusive Language Detection and Analysis * Machine Translation and Multilinguality * Question Answering * Summarization * NLP for Fact Checking, Fake News Detection and Analysis * LLMs and Applications * Multimodal (text-image) data sources Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. *HOW TO SUBMIT* We encourage submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are also welcomed. We will invite two kinds of submissions, which address novel interface issues in recommender systems by following the new 2022 CEUR-ART – 1 Column papers style (http://ceur-ws.org/Vol-XXX/CEURART.zip). Short/Demo papers: The maximum length is 6 pages (plus up to 2 pages of references). Long papers: The maximum length is 12 pages (plus up to 2 pages of references). Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. All the submissions should be submitted via EasyChair at: https://easychair.org/conferences/?conf=nl4ai2023 *WORKSHOP ORGANIZERS* Elisa Bassignana, IT University of Copenhagen, Denmark Dominique Brunato, Institute for Computational Linguistics “A. Zampolli” (CNR-ILC), Italy Marco Polignano, University of Bari Aldo Moro, Italy Alan Ramponi, Fondazione Bruno Kessler, Italy

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Second call for papers DHASA Conference 2023
by Menno Van Zaanen 12 Jul '23

12 Jul '23

Second call for papers DHASA Conference 2023 https://dh2023.digitalhumanities.org.za/ Theme: "Digital Humanities for Inclusion" The Digital Humanities Association of Southern Africa (DHASA) is pleased to announce its fourth conference, focusing on the theme "Digital Humanities for Inclusion." In a region where the field of Digital Humanities is still relatively underdeveloped, this conference aims to address this gap and foster growth and collaboration in the field. The conference offers an opportunity for researchers interested in showcasing their work in the broad field of Digital Humanities to come together. By doing so, the conference provides a comprehensive overview of the current state-of-the-art in Digital Humanities, particularly within the Southern Africa region. As such, we welcome submissions related to Digital Humanities research conducted by individuals from Southern Africa or research focused on the geographical area of Southern Africa. Furthermore, the conference serves as a platform for information sharing and networking among researchers passionate about Digital Humanities. By bringing together experts working on Digital Humanities in Southern Africa or with a focus on Southern Africa, we aim to promote collaboration and facilitate further research in this dynamic field. In addition to the main conference, affiliated workshops and tutorials will be organized, providing researchers with valuable insights into novel technologies and tools. These supplementary events are designed for researchers interested in specific aspects of Digital Humanities or seeking practical information to enter or advance their knowledge in the field. The DHASA conference welcomes interdisciplinary contributions from researchers in various domains of Digital Humanities, including, but not limited to, language, literature, visual art, performance and theatre studies, media studies, music, history, sociology, psychology, language technologies, library studies, philosophy, methodologies, software and computation, and more. Our goal is to cultivate an inclusive scientific community of practice within Digital Humanities. Suggested topics include the following: * Digital archives and the preservation of marginalized voices; * Intersectionality and the digital humanities: exploring the intersections of race, gender, sexuality, and class in digital research and activism; * Activism and social change through digital media: how digital humanities tools and methodologies can be used to promote inclusion; * Engaging marginalized communities in the creation and use of digital tools and resources; * Exploring the role of digital humanities in decolonizing knowledge and promoting indigenous perspectives; * The ethics of data collection and analysis in digital humanities research related; * The role of digital humanities in promoting inclusive and equitable pedagogy; * Digital humanities and inclusion in the context of global perspectives and international collaborations; * Critical approaches to digital humanities and inclusion: examining the limitations and possibilities of digital tools and methodologies in promoting inclusion; and * Collaborative digital humanities projects with non-profit organizations, community groups, and cultural institutions; * Any other digital humanities-related topic that serves the Southern African community. Submission Guidelines The DHASA conference 2023 asks for three types of submissions: * Long papers: Authors may submit long papers consisting of a maximum of 8 content pages and unlimited pages for references and appendix. The final versions of accepted long papers will be granted an additional page (up to 9 pages) to incorporate reviewers' comments. * Short papers: Authors may submit short papers with a maximum of 5 content pages and unlimited pages for references and appendix. The final versions of accepted short papers will be allowed an extra page (up to 6 pages) to accommodate reviewers' comments. Short papers accepted for the conference will be presented as posters. * Abstracts: Authors can submit abstracts of 250-300 words. Note that before submitting your contribution, you are required to submit an abstract before the abstract submission deadline. This holds for *all* submissions. The actual submission will need to be submitted before the submission deadline. More information on the submission process can be found on the submission page: https://dh2023.digitalhumanities.org.za/submission/ We particularly encourage student submissions where the first author is a student. All accepted long and short paper submissions that are presented at the conference will be published in the Journal of Digital Humanities Association of Southern Africa, see https://upjournals.up.ac.za/index.php/dhasa. In addition, the abstracts of the full papers and the lightning talks will be published in a book of abstracts before the conference. Important dates Abstract submission deadline: 8 August 2023 Submission deadline: 15 August 2023 Date of notification: 30 September 2023 Camera-ready copy deadline: 6 November 2023 Conference: 27 November 2023 - 1 December 2023 Conference format: Face-to-face Conference venue: Nelson Mandela University, Eastern Cape South Africa NOTE: Non-presenting delegates have the option to attend online. Co-located events Several co-located events are currently being prepared, including workshops and tutorials. These will be updated on the conference website. Organizing Committee * Johannes Sibeko, Nelson Mandela University * Aby Louw, Council for Scientific and Industrial Research * Alan Murdoch, Nelson Mandela University * Amanda du Preez, University of Pretoria * Andiswa Bukula, South African Centre for Digital Language Resources * Andiswa Mvanyashe, Nelson Mandela University * Avashna Govender, Council for Scientific and Industrial Research * Gabby Dlamini, Nelson Mandela University * Ilana Wilken, Council for Scientific and Industrial Research * Jonathan van der Walt, Nelson Mandela University * Laurette Marais, Council for Scientific and Industrial Research * Mukhtar Raban, Nelson Mandela University * Nomfundo Khumalo, Nelson Mandela University * Menno Van Zaanen, South African Centre for Digital Language Resources -- 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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Fwd: Shared Task On Propaganda And Disinformation Detection In Arabic (co-located with EMNLP 2023)
by Firoj Alam 12 Jul '23

12 Jul '23

Dear colleagues, You are invited to participate ArAIEval shared task on (i) persuasion technique, and (ii) disinformation detection, in Arabic, which will held with the First Arabic Natural Language Processing Conference (WANLP 2023) co-located this with the EMNLP2023 Conference in Singapore (6-10 Dec, 2023). You can find detailed information here: https://araieval.gitlab.io/. Tasks Task 1: Persuasion Technique Detection: Given a multigenre (tweet and news paragraph) text snippet, identify whether it contains content with persuasion technique in a binary or multilabel classification settings. Task 2: Disinformation Detection Definition: Given only the “text” of a tweet, classify binary and/or fine-grained disinformation categories. Website: https://araieval.gitlab.io/ Dataset and relevant scripts: The datasets are hosted on the Gitlab repository: https://gitlab.com/araieval/wanlp2023_araieval/ Important Dates 13 July 2023: Started registration on codalab and beginning of the development cycle 12 August 2023: Beginning of the evaluation cycle (test sets release and run submission) 15 August 2023 23:59 AOE: End of the evaluation cycle (run submission) 29 August 2023: Deadline for the submission of working notes 12 October 2023: Notification of acceptance of working notes 20 October 2023: Deadline for submission of camera-ready working notes 7 December 2023: WANLP Conference (colocated with EMNLP-2023) Organizers - Firoj Alam, Qatar Computing Research Institute, HBKU - Hamdy Mubarak, Qatar Computing Research Institute, HBKU - Maram Hasanain, Qatar Computing Research Institute, HBKU - Samir Abdaljalil, Qatar Computing Research Institute, HBKU - Wajdi Zaghouani, HBKU - Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence - Giovanni Da San Martino, University of Padova - Abdelhakim Freihat, University of Trento The ArAiEval shared task organizers -- You received this message because you are subscribed to the Google Groups "SIGLEX members" group. To unsubscribe from this group and stop receiving emails from it, send an email to siglex-members+unsubscribe(a)googlegroups.com. To view this discussion on the web visit https://groups.google.com/d/msgid/siglex-members/cdd368d7-c8c1-401a-825c-a3… <https://groups.google.com/d/msgid/siglex-members/cdd368d7-c8c1-401a-825c-a3…> . For more options, visit https://groups.google.com/d/optout.

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10th International Conference on Behavioural and Social Computing (BESC 2023): Final Call for Papers
by georgeangelos60＠gmail.com 12 Jul '23

12 Jul '23

*** Final Call for Papers *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ (*** Submission Deadline: 29 July, 2023 AoE ***) The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE BESC 2023 invites submissions of original, high-quality research papers addressing cutting-edge developments from all areas of behavioural and social computing. The conference aims to bring together researchers and practitioners from academia and industry to share their knowledge, experience, and perspectives on the latest trends, challenges, and opportunities in this rapidly evolving field. Topics of interest include, but are not limited to: Social Computing, Computational Social Science and Applications • Computational models of social phenomena • Social behaviour • Social network analysis • Semantic web • Collective intelligence • Security, privacy, trust in social contexts • Social recommendation • Social influence and social contagions • Quantifying offline phenomena through online data • Forecasting of social phenomena • Science and technology studies approaches to computational social science • Social media and health behaviours • Social psychology and personality • New theories, methods, and objectives in computational social science Digital Humanities • Digital media • Digital humanities • Digital games and learning • Digital footprints and privacy • Crowd dynamics • Digital arts • Digital healthcare • Activity streams and experience design • Virtual communities (e.g., open-source, multiplayer gaming, etc.) Information Management and Information Systems (IS) • Decision analytics • E-Business • Decision analytics • Computational finance • Societal impacts of IS • Human behaviour and IS • IS in healthcare • IS security and privacy • IS strategy, structure and organizational impacts • Service science and IS Natural Language Processing • Web mining and its social interpretations • Sentiment Analysis, Stylistic Analysis, and Argument Mining • Opinion mining and social media analytics • Credibility of online content • Computational Linguistics • Mining big social data • Cognitive Modelling and Psycholinguistics Behaviour and User Modelling, Privacy, and Ethics • Behaviour change • Positive technology • Personalization for individuals, groups and populations • Large scale personalization, adaptation and recommendation • Web dynamics and personalization • Privacy, perceived security and trust • Technology and Wellbeing • Ethics of computational research on human behaviour Technology Enhanced Learning (TEL) • E-Learning and M-Learning • Open and Distance Learning • User modeling and personalization in TEL • TEL in secondary and in higher education • New tools for TEL BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special Sessions will be included in the same IEEE conference proceedings with the papers accepted for the general technical program. ● Computational Social Psychology in Post Covid-19 Period ● Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and Prediction ● Intelligent E-Learning at Post Covid-19 Era ● Big Data and AI-Powered Decision Support Systems in Business ● Understanding the Citizen's Behavior in Cognitive Cities ● Nudges and Behavioural Computing Models for a Sustainable and Equitable Development SUBMISSION INSTRUCTIONS The paper submission system is using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=besc2023 . All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity. Please note: • All submissions should use IEEE two-column style. Templates are available here: https://www.ieee.org/conferences/publishing/templates.html • All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages) and Doctoral Symposium papers (4 pages). • The page count above excludes the references (but includes any appendices). • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. • The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. • All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing). IMPORTANT DATES • Submission of all papers: 29 July 2023 AoE (*** extended ***) • Notification of acceptance for submitted papers: 15 September 2023 • Camera-Ready Submission: 1 October 2023 • Author Registration: 1 October 2023 ORGANISATION Steering Committee Chair • Guandong Xu, University of Technology Sydney, Australia General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • Ji Zhang, University of Southern Queensland, Australia Special Session Chairs • Taotao Cai, University of Southern Queensland, Australia • Ting Yu, Zhejiang Lab, China Doctoral Symposium Chair • Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair • Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair • Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs • Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore • Thanveer Shaik, University of Southern Queensland, Australia • Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster • Shiqing Wu, University of Technology Sydney, Australia

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Final call for papers: 3rd Workshop on Human Evaluation of NLP Systems
by Maja Popovic 11 Jul '23

11 Jul '23

Third Workshop on Human Evaluation of NLP Systems (HumEval’23) ############################################################### https://humeval.github.io/ RANLP’23, Varna, Bulgaria, 7 September 2023 submission deadline: 20 July 2023, 23:59 UTC-12 Final Call for Papers ++++++++++++++++++++++ The Third Workshop on Human Evaluation of NLP Systems (HumEval’23) invites the submission of long and short papers on substantial, original, and unpublished research on all aspects of human evaluation of NLP systems with a focus on NLP systems which produce language as output. We welcome work on any quality criteria relevant to NLP, on both intrinsic evaluation (which assesses systems and outputs directly) and extrinsic evaluation (which assesses systems and outputs indirectly in terms of its impact on an external task or system), on quantitative as well as qualitative methods, score-based (discrete or continuous scores) as well as annotation-based (marking, highlighting). Important dates ---------------- Workshop paper submission deadline: 20 July 2023 Workshop paper acceptance notification: 5 August 2023 Workshop paper camera-ready versions: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 All deadlines are 23:59 UTC-12. Topics ------- We invite papers on topics including, but not limited to, the following: Experimental design and methods for human evaluations Reproducibility of human evaluations Work on inter-evaluator and intra-evaluator agreement Ethical considerations in human evaluation of computational systems Quality assurance for human evaluation Crowdsourcing for human evaluation Issues in meta-evaluation of automatic metrics by correlation with human evaluations Alternative forms of meta-evaluation and validation of human evaluations Comparability of different human evaluations Methods for assessing the quality and the reliability of human evaluations Role of human evaluation in the context of Responsible and Accountable AI We welcome work from any subfield of NLP (and ML/AI more generally), with a particular focus on evaluation of systems that produce language as output. ReproNLP shared task --------------------- The workshop will also host a shared Task on Reproducibility of Evaluations in NLP (ReproNLP). Papers ------ Long papers - - - - - - Long papers must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to eight (8) pages of content, plus unlimited pages of references. Final versions of long papers will be given one additional page of content (up to 9 pages) so that reviewers’ comments can be taken into account. Long papers will be presented orally or as posters as determined by the programme committee. Decisions as to which papers will be presented orally and which as posters will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and as posters. Short papers - - - - - - - Short paper submissions must describe original and unpublished work. Short papers should have a point that can be made in a few pages. Examples of short papers are a focused contribution, a negative result, an opinion piece, an interesting application nugget, a small set of interesting results. Short papers may consist of up to four (4) pages of content, plus unlimited pages of references. Final versions of short papers will be given one additional page of content (up to 5 pages) so that reviewers’ comments can be taken into account. Short papers will be presented orally or as posters as determined by the programme committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and as posters. Multiple submission policyPermalink HumEval’23 allows multiple submissions. However, if a submission has already been, or is planned to be, submitted to another event, this must be clearly stated in the submission form. Submission procedure and templates ----------------------------------- To submit, go directly to the workshop page at the Softconf START system https://softconf.com/ranlp23/HumEval/ The papers should follow the format of the main conference, described at the RANLP website, Submissions page. http://ranlp.org/ranlp2023/index.php/submissions/ Organisers Anya Belz, ADAPT Centre, Dublin City University, Ireland Maja Popović, ADAPT Centre, Dublin City University, Ireland Ehud Reiter, University of Aberdeen, UK João Sedoc, New-York University Craig Thomson, University of Aberdeen, UK For questions and comments regarding the workshop please contact the organisers at humeval.ws(a)gmail.com.

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CfP Corpus Phonology Workshop bei BICLCE 2024
by philipp.meer＠uni-muenster.de 11 Jul '23

11 Jul '23

Dear all, On behalf of Ulrike Gut and myself, I would like to forward you a CfP for a thematic workshop on "Corpus Phonology: Current Approaches and Future Directions" (see below), which we are organizing at the BICLCE Conference 2024 in Alicante, Spain (https://web.ua.es/es/biclce2024/presentacion.html). The workshop has already been accepted. Please feel free to forward the CfP to anyone who you think might be interested in contributing to the workshop. ********** Thematic workshop: Corpus Phonology: Current Approaches and Future Directions 10th Biennial International Conference on the Linguistics of Contemporary English (BICLCE) Organizer(s): Philipp Meer (University of Münster, philipp.meer(a)uni-muenster.de); Ulrike Gut (University of Münster, gut(a)uni-muenster.de) Important dates: August 27, 2023 Deadline proposed title December 15, 2023 Deadline abstract September 26-28, 2024 Conference dates Description: We invite submissions for a workshop on "Corpus Phonology: Current Approaches and Future Directions" to be held at the 10th Biennial International Conference on the Linguistics of Contemporary English (BICLCE) in Alicante, Spain (September 26-28, 2024). The workshop aims to bring together researchers from various fields of English linguistics to share their research and discuss the latest developments in corpus phonology. Corpus phonology refers to the study of phonetic and phonological phenomena in naturally occurring speech data using corpus-based approaches (Gut 2009; Durand et al. 2014; Gut & Fuchs 2017; Liberman 2019). The field combines methods and approaches from corpus linguistics, phonetics and phonology, speech processing technology, statistics, and related fields. With the increasing availability of large-scale corpora and advances in computational tools, corpus phonology has become an important area of research in English phonetics and phonology (e.g. Rosenfelder et al. 2014; McAuliffe et al. 2017; Jansen & Langstrof 2019; Stuart-Smith et al. 2019; Meer 2020; Gorisch et al. 2020; Meer 2020; Meer et al. 2021; Li et al. 2021; Coto-Solano 2022; Coats 2023). At the same time, new types of questions and challenges for research arise. In this workshop, we aim to explore both current approaches and future directions in corpus phonology. Specifically, the workshop aims to address the following research questions: (1) How can large-scale speech corpora be effectively compiled? (2) How can large-scale speech corpora be effectively used to investigate phonetic and phonological properties of English? (3) How can corpus phonology contribute to our understanding of sociolinguistic phenomena, such as language change and contact? (4) What are the benefits and challenges in using state-of-the art computational tools in corpus phonology research, and what new research opportunities do they create? Topics of interest include, but are not limited to: • Corpus-based study of phonological variation • Corpus phonology and phonological theory • Phonological corpus compilation and computational tools (such as automatic speech recognition (ASR), forced alignment, machine learning, etc.) • The use of corpora in analyzing phonetic detail • Corpus phonology and sociolinguistics • Corpus phonology and L2/L3 research • Corpus-based approaches to prosody and intonation We welcome submissions from both established academics and early career researchers working on these and related topics. We encourage submissions that draw on data from a wide range of varieties of English, as well as those that present novel methodologies or theoretical frameworks. We would be grateful if you could confirm your willingness to contribute – together with a proposed title – by August 27, 2023. Abstract submissions should be in the form of abstracts of no more than 500 words, excluding references. Abstracts should be submitted as a PDF to the workshop organizers at philipp.meer(a)uni-muenster.de and gut(a)uni-muenster.de by December 15, 2023. Accepted abstracts will be allotted 20-minute presentation slots, followed by 10 minutes for questions and discussion. We will also allocate time for a general discussion of the research questions at the end of the workshop. The publication of an edited volume of papers presented as part of the workshop is envisaged. We look forward to receiving your submissions and to an exciting workshop on "Corpus Phonology: Current Approaches and Future Directions". Keywords: corpus phonology; corpus linguistics; speech technology; sociolinguistics; L2 research ********** Best wishes, Philipp __________ Philipp Meer Research Associate (Postdoc) University of Münster – English Department Johannisstr. 12-20, D-48143 Münster, Germany Email: philipp.meer(a)uni-muenster.de Website: https://www.uni-muenster.de/Anglistik/Staff/Meer.shtml Visiting Researcher Speech Prosody Studies Group University of Campinas (UNICAMP) – Institute of Language Studies (IEL) Rua Sérgio Buarque de Holanda, no 571, Campinas – São Paulo - Brazil External profiles: ResearchGate: https://www.researchgate.net/profile/Philipp_Meer Academia.edu: https://uni-muenster.academia.edu/PhilippMeer

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2nd CfP: 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’23)
by Andrey Kutuzov 10 Jul '23

10 Jul '23

Dear all, We are happy to remind that there will be a full-day workshop on computational approaches to historical language change (LChange’23) co-located with EMNLP (December 6-10, 2023). The Second Call for Papers is below. The main updates compared to the 1st CfP are: 1. The submission page is now up and running at https://openreview.net/group?id=EMNLP/2023/Workshop/LChange 2. To encourage resource sharing at the reviewing phase, model and dataset papers do not need to be anonymous. The reviewing for the papers of this type will thus be single-blind. ======================================== 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange’23) ======================================== Website: https://www.changeiskey.org/event/2023-emnlp-lchange/ Date: Dec 6, 2023 Location: Singapore and online Contact email: lchange2023(a)changeiskey.org LChange'23 is the fourth workshop for computational approaches to historical language change with the focus on digital text corpora. Come join us for this exciting adventure! The workshop builds upon its first iteration in 2019 (https://languagechange.org/events/2019-acl-lcworkshop/), and the subsequent events (2021, 2022). LChange'19 resulted in a book on Computational approaches to semantic change (https://langsci-press.org/catalog/book/303). This year, LChange will be colocated with EMNLP 2023 in Singapore, as a hybrid event. The workshop will take place on Wednesday 6 December 2023. The main topic of the workshop remains the same: all aspects around computational approaches to historical language change with the focus on digital text corpora. We hope to make this fourth edition another resounding success! ==Important Dates== September 1, 2023: Paper submission October 6, 2023: Notification of acceptance October 18, 2023: Camera-ready papers due December 6, 2023: Workshop date ==Workshop Topics== This workshop explores state-of-the-art computational methodologies, theories and digital text resources on exploring the time-varying nature of human language. The aim of this workshop is three-fold. First, we want to provide pioneering researchers who work on computational methods, evaluation, and large-scale modelling of language change an outlet for disseminating cutting-edge research on topics concerning language change. We want to utilize this workshop as a platform for sharing state-of-the-art research progress in this fundamental domain of natural language research. Second, in doing so we want to bring together domain experts across disciplines by connecting researchers in historical linguistics with those that develop and test computational methods for detecting semantic change and laws of semantic change; and those that need knowledge (of the occurrence and shape) of language change, for example, in digital humanities and computational social sciences where text mining is applied to diachronic corpora subject to e.g., lexical semantic change. Third, the detection and modelling of language change using diachronic text and text mining raise fundamental theoretical and methodological challenges for future research. Besides these goals, this workshop will also support discussion on the evaluation of computational methodologies for uncovering language change. SemEval2020 Task 1 on unsupervised detection of lexical semantic change attracted three figure submission numbers and a total of 21 submitted system papers. Since then, three more tasks have been completed in Italian, Russian, and Spanish. We invite original research papers from a wide range of topics, including but not limited to: - Novel methods for detecting diachronic semantic change and lexical replacement - Automatic discovery and quantitative evaluation of laws of language change - Computational theories and generative models of language change - Sense-aware (semantic) change analysis - Diachronic word sense disambiguation - Novel methods for diachronic analysis of low-resource languages - Novel methods for diachronic linguistic data visualization - Novel applications and implications of language change detection - Quantification of sociocultural influences on language change - Cross-linguistic, phylogenetic, and developmental approaches to language change - Novel datasets for cross-linguistic and diachronic analyses of language ==Keynote Talks== To be announced. If you have any good suggestions, or anyone you would like to listen to, please contact us. ==Submissions== URL for submissions: https://openreview.net/group?id=EMNLP/2023/Workshop/LChange. We accept two types of submissions, long and short papers, following the EMNLP 2023 style (you can also directly use the Overleaf template), and the ACL submission policy: * https://2023.emnlp.org/calls/style-and-formatting/ * https://www.overleaf.com/latex/templates/instructions-for-emnlp-2023-procee… * https://www.aclweb.org/adminwiki/index.php?title=ACL_Policies_for_Submissio… Long and short papers may consist of up to eight (8) and four (4) pages of content, respectively, plus unlimited references; final versions will be given one additional page of content so that reviewers' comments can be taken into account. LChange’23 also welcomes papers focusing on releasing a dataset or a model; these papers fall into the short paper category. To encourage resource sharing at the reviewing phase, model and dataset papers do not need to be anonymous. Accepted papers will be presented orally or as posters and included in the workshop proceedings. Submissions are open to all, and are to be submitted anonymously. All papers will be refereed through a double-blind peer review process by at least three reviewers with final acceptance decisions made by the workshop organizers. ==Contact== Contact us if you have any questions: lchange2023(a)changeiskey.org Organizers: Nina Tahmasebi, Syrielle Montariol, Haim Dubossarsky, Andrey Kutuzov, Simon Hengchen, David Alfter, Francesco Periti, and Pierluigi Cassotti. If you have published in the field previously, and are interested in helping out in the PC to review papers, send us an email. ==Anti-Harassment Policy== Our workshop highly values the open exchange of ideas, the freedom of thought and expression, and respectful scientific debate. We support and uphold the ACL Anti-Harassment policy (https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy), and any workshop participant should feel free to contact any of the workshop organizers or acl(a)aclweb.org, in case of any issues. -- Andrey Language Technology Group (LTG) University of Oslo

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Second Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP
by Verna Dankers 10 Jul '23

10 Jul '23

*Call for Papers: GenBench, the first workshop on generalisation (benchmarking) in NLP* ****New: the Collaborative Benchmarking Task submissions are now open; visit * *https://github.com/GenBench/genbench_cbt <https://github.com/GenBench/genbench_cbt>.With the support of our workshop sponsor Amazon, we are now offering scholarships for travel expenses.**** Workshop description The ability to generalise well is often mentioned as one of the primary desiderata for models of natural language processing. It is crucial to ensure that models behave robustly, reliably and fairly when making predictions about data that is different from the data that they were trained on. Generalisation is also important when NLP models are considered from a cognitive perspective, as models of human language. Yet, there are still many open questions related to what it means for an NLP model to generalise well and how generalisation should be evaluated. The first GenBench workshop aims to serve as a cornerstone to catalyse research on generalisation in the NLP community. In particular, the workshop aims to: - Bring together different expert communities to discuss challenging questions relating to generalisation in NLP; - Crowd-source a collaborative generalisation benchmark hosted on a platform for democratic state-of-the-art (SOTA) generalisation testing in NLP. The first GenBench workshop on generalisation (benchmarking) in NLP will be co-located with EMNLP 2023. Submission types We call for two types of submissions: regular workshop submissions and collaborative benchmarking task submissions. The latter will consist of a data/task artefact and a companion paper motivating and evaluating the submission. In both cases, we accept archival papers and extended abstracts. 1. Regular workshop submissions Regular workshop submissions present papers on the topic of generalisation (see examples listed below) but are not intended to be included on the GenBench evaluation platform. Regular workshop papers may be submitted as an archival paper when they report on completed, original and unpublished research; or as a shorter extended abstract. More details on this category can be found below. Topics of interest include, but are not limited to: - Opinion or position papers about generalisation and how it should be evaluated; - Analyses of how existing or new models generalise; - Empirical studies that propose new paradigms to evaluate generalisation; - Meta-analyses that investigate how results from different generalisation studies compare to one another; - Meta-analyses that study how different types of generalisation are related; - Papers that discuss how generalisation of LLMs can be evaluated without access to training data; - Papers that discuss why generalisation is (not) important in the era of LLMs; - Studies on the relationship between generalisation and fairness or robustness. If you are unsure whether a specific topic is well-suited for submission, feel free to reach out to the organisers of the workshop at genbench(a)googlegroups.com. 2. Collaborative Benchmarking Task submissions Collaborative benchmarking task submissions consist of a data/task artefact and a paper describing and motivating the submission and showcasing it on a select number of models. We accept submissions that introduce new datasets, resplits of existing datasets along particular dimensions, or in-context learning tasks, with the goal of measuring generalisation of NLP models. We especially encourage submissions that focus on: - Generalisation in the context of fairness and inclusivity; - Multilingual generalisation; - Generalisation in LLMs, where we have no control over the training data. Each submission should contain information about the data (URIs, format, preprocessing), model preparation (finetuning loss, ICL prompt templates), and evaluation metrics. These will be defined either in a configuration file or in code. More details about the collaborative benchmarking task submissions and example submissions can be found on our website: visit genbench.org/cbt for more information or github.com/GenBench/genbench_cbt to prepare your submission. Note that there is a sample data submission deadline (August 1) in addition to the final submission deadline (September 1). Participants proposing previously unpublished datasets or splits may choose to submit an archival paper or an extended abstract. Generalisation evaluation datasets that have already been published elsewhere (or will be published at EMNLP 2023) can be submitted to the platform, as well, but only through an extended abstract, citing the original publication. We allow dual submissions with EMNLP. For more information, see below. If you are in doubt about whether a particular type of dataset is suitable for submission, please consult the information page on our website, or reach out to the organisers of the workshop at genbench(a)googlegroups.com. Archival vs extended abstract Archival papers are up to 8 pages excluding references and report on completed, original and unpublished research. They follow the requirements of regular EMNLP 2023 submissions. Accepted papers will be published in the workshop proceedings and are expected to be presented at the workshop. The papers will undergo double-blind peer review and should thus be anonymised. Extended abstracts can be up to 2 pages excluding references and may report on work in progress or be cross-submissions of work that has already appeared in another venue. Abstract titles will be posted on the workshop website but will not be included in the proceedings. Submission instructions For both archival papers and extended abstracts, we refer to the EMNLP 2023 website for paper templates. Additional requirements for both regular workshop papers and collaborative benchmarking task submissions can be found on our website. All papers can be submitted through OpenReview: https://openreview.net/group?id=GenBench.org/2023/Workshop. Collaborative Benchmarking Task submissions can be made via https://github.com/GenBench/genbench_cbt. We also accept regular workshop submissions (papers of category 1) through the ACL Rolling Review system. Authors that have their ARR reviews ready may submit their papers and reviews for consideration to the workshop. Important dates - August 1, 2023 – Sample data submission deadline - September 1, 2023 – Paper submission deadline - September 15, 2023 – ARR submission deadline - October 6, 2023 – Notification deadline - October 18, 2023 – Camera-ready deadline - December 6, 2023 – Workshop Note: all deadlines are 11:59 PM UTC-12:00 Dual submissions We allow dual submissions with EMNLP and encourage relevant papers that were dual-submitted and accepted at EMNLP to redirect to a non-archival extended abstract submission. We furthermore welcome submissions of extended abstracts that describe work already presented at an earlier venue, both in the collaborative benchmarking task and in the regular submission track. Preprints We do not have an anonymity deadline. Preprints are allowed, both before the submission deadline as well as after. Scholarships With the support of our workshop sponsor Amazon, we are offering 6 scholarships each covering up to $500 of travel expenses and/or (virtual) registration fees. Please check out our website for more information about the application process. Contact Email address: genbench(a)googlegroups.com Website: genbench.org/workshop On behalf of the GenBench team, Dieuwke Hupkes Khuyagbaatar Batsuren Koustuv Sinha Amirhossein Kazemnejad Christos Christodoulopoulos Ryan Cotterell Elia Bruni Verna Dankers

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Free webinar on CL programmes 11 July 3pm UK time
by Brezina, Vaclav 10 Jul '23

10 Jul '23

Hi all, If you'd like to find out more about Corpus linguistics programmes (MA, Post-graduate Certificate) as well as individual courses for credit offered by Lancaster University - all online learning - please join us tomorrow for a free webinar: https://forms.office.com/e/82JE20Wx88 Best, Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:5d86929e-b78e-40c0-87c3-97c565294b0d]@vaclavbrezina [cid:584b3354-e395-47db-8cef-48305a301d03]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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BlackboxNLP 2023: The 6th Workshop on Analysing and Interpreting Neural Networks for NLP
by Hosein Mohebbi 10 Jul '23

10 Jul '23

*Call for Papers*: The sixth edition of BlackboxNLP, co-located with EMNLP 2023, in Singapore. *Important dates* --------------------- September 1, 2023 – Submission deadline. October 6, 2023 – Notification of acceptance. October 18, 2023 – Camera-ready papers due. December 7, 2023 – Workshop. Note: All deadlines are 11:59PM UTC-12 (anywhere on Earth). *Workshop description:* ----------------- Many recent performance improvements in NLP have come at the cost of understanding of the systems. How do we assess what representations and computations models learn? How do we formalize desirable properties of interpretable models, and measure the extent to which existing models achieve them? How can we build models that better encode these properties? What can new or existing tools tell us about these systems’ inductive biases? The goal of this workshop is to bring together researchers focused on interpreting and explaining NLP models by taking inspiration from fields such as machine learning, psychology, linguistics, and neuroscience. We hope the workshop will serve as an interdisciplinary meetup that allows for cross-collaboration. Topics of interest include, but are not limited to: * Applying analysis techniques from neuroscience to analyze high-dimensional vector representations in artificial neural networks; * Analyzing the network’s response to strategically chosen input in order to infer the linguistic generalizations that the network has acquired; * Examining network performance on simplified or formal languages; * Mechanistic interpretability, reverse engineering approaches to understanding particular properties of neural models; * Proposing modifications to neural architectures that increase their interpretability; * Testing whether interpretable information can be decoded from intermediate representations; * Explaining specific model predictions made by neural networks; * Generating and evaluating the quality of adversarial examples in NLP; * Developing open-source tools for analyzing neural networks in NLP; * Evaluating the analysis results: how do we know that the analysis is valid? *Submissions* ----------------- We call for two types of papers: 1) Archival papers. These are papers reporting on completed, original and unpublished research, with a maximum length of 8 pages + references. Papers shorter than this maximum are also welcome. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should report on obtained results rather than intended work. These papers will undergo double-blind peer-review, and should thus be anonymized. 2) Extended abstracts. These may report on work in progress or may be cross submissions that have already appeared in a non-NLP venue. The extended abstracts are of maximum 2 pages + references. These submissions are non-archival in order to allow submission to another venue. The selection will not be based on a double-blind review and thus submissions of this type need not be anonymized. Submissions should follow the official EMNLP 2023 style guidelines. *The submission site is:* https://www.softconf.com/emnlp2023/BlackboxNLP *Organizers* ----------------- Yonatan Belinkov, Technion Najoung Kim, Boston University Sophie Hao, New York University Arya McCarthy, Johns Hopkins University Jaap Jumelet, University of Amsterdam Hosein Mohebbi, Tilburg University *Contact* --------------------- Please contact the organizers at blackboxnlp(a)googlegroups.com for any questions. Read more: https://www.aclweb.org/portal/content/blackboxnlp-2023-6th-workshop-analysi…

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Four fully-funded 5-year PhD positions at University of Gothenburg, Sweden
by Peter Ljunglöf 09 Jul '23

09 Jul '23

[Apologies for cross-posting] The University of Gothenburg, Sweden, is offering four fully-funded PhD positions in computer science and engineering where the candidates can choose the project themselves out of fourteen options. Two of the projects are related to NLP, one about efficient algorithms for corpus searching, and another about automatic generation of Wikipedia articles. See the ad for more information: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… The positions are fully funded for 5 years, including 20% teaching or other departemental duties. Application deadline: 20 August 2023 best regards, Peter Ljunglöf ------- ------ ----- ---- --- -- - - - - - peter ljunglöf peter.ljunglof(a)gu.se data- och informationsteknik, och språkbanken göteborgs universitet och chalmers tekniska högskola -------------- --------- -------- ------- ------ ----- ---- --- -- - - - - -

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New articles for Asia Pacific Journal of Corpus Research (APJCR) Vol. 3, No. 1 are available online (Open Access)
by Prof CK Jung 08 Jul '23

08 Jul '23

Dear all Just wanted to let you know that APJCR Vol. 3, No. 1 is now available to view online. http://icr.or.kr/ejournals-apjcr CK --- *CK Jung BEng(Hons) Birmingham MSc Warwick EdD Warwick Cert Oxford* Department of English Language and Literature, Incheon National University, *South Korea* Vice President | The Korea Association of Primary English Education (KAPEE), *South Korea* Vice President | The Korea Association of Secondary English Education (KASEE), *South Korea* Director | Institute for Corpus Research, Incheon National University, *South Korea* (http://icr.or.kr) Editor | Asia Pacific Journal of Corpus Research, ICR, *International* ( http://icr.or.kr/apjcr) Deputy Editor | Korean Journal of English Language and Linguistics, KASELL, *South Korea* Editorial Board | Corpora, Edinburgh University Press, *UK* Editorial Board | English Today, Cambridge University Press, *UK* E: ckjung(a)inu.ac.kr / T: +82 (0)32 835 8129 H(EN): http://ckjung.org H(KR): http://prof1.inu.ac.kr/user/ckjung

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SIG WRITING 2024: First Call for Contributions
by Aleksandra MILETIC 08 Jul '23

08 Jul '23

*SIG Writing 2024* *Call for Conference Submissions and Research School Participation* The EARLI Special Interest Group *Writing*, *Paris Nanterre University* <https://www.parisnanterre.fr/> (France), *Sorbonne Nouvelle University * <http://www.univ-paris3.fr/>(France), and the *University of Turku * <https://www.utu.fi/fi>(Finland) invite proposals to the *20th biennial SIG Writing conference* to be held at Paris Nanterre University, Nanterre, France, from 26-28 June 2024. Prior to the conference, from 24-25 June 2024, the *Research School will be held.* The conference theme for SIG Writing 2024 is *ways2write*. Writing is a ubiquitous social and professional practice in most parts of the world. It takes on diverse, increasingly mixed and heterogeneous forms, manifests itself over ever wider spans of life and activity, exploits more and more media and technologies, and is increasingly fluid. The source and its individual and collective characteristics (age, cognitive abilities, human/non-human...), the medium, the context and the production objectives, time and space—all give rise to a diversity of writings and ways of writing, raising numerous questions in an interdisciplinary field. While the conference traditionally hosts a diversity of topics and approaches, proposals within the *ways2write* theme are particularly welcome. More information and *call for conference papers and Research School* participation at *SIG WRITING 2024 (google.com)* <https://sites.google.com/view/sig-writing-2024/conference-home?authuser=0> *Submission deadline: October 31, 2023* *Submission guidelines* The aim of the conference is to promote interaction among researchers who are interested in understanding the cognitive, social, and developmental processes involved in writing, who are concerned with designing writing instruction in various educational settings, or who are engaged with exploring the functions of writing in different social and institutional contexts. The scope of the conference is broad, and we hope to draw together a wide range of researchers and professionals. *CONFERENCE*: Presentation formats are Paper, Symposium, Poster, Roundtable, and Demonstration Session. The abstract should be 250-350 words (including any references). All proposals must be written in English and submitted using the online submission system: https://www.earli-eapril.org PhD students and early career researchers are invited to submit to and participate in the pre-conference Research School. *RESEARCH SCHOOL*: Presentation formats are Paper Presentation, Poster or 30' Article Manuscript Discussion. The abstract should be 350 words (including any references). All proposals must be written in English and submitted using the online submission system: https://www.earli-eapril.org For any questions, please contact us at *sigwriting24.paris(a)gmail.com* <sigwriting24.paris(a)gmail.com> You can also follow the updates on Twitter: *@SIGWriting2024 * <https://twitter.com/SIGWriting2024> And Facebook: SigWriting Paris

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2nd CFP: 16th BUCC Workshop with Shared Task on Terminology Extraction at RANLP 2023
by Reinhard Rapp 08 Jul '23

08 Jul '23

************************************************************** 16th Workshop on Building and Using Comparable Corpora (BUCC) with Shared Task on Multilingual Terminology Extraction from Comparable Specialized Corpora Co-located with RANLP 2023 September 7 or 8, 2023 Workshop website: https://comparable.limsi.fr/bucc2023/ Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html RANLP website: http://ranlp.org/ranlp2023/ Workshop proceedings to be published in ACL Anthology Invited speaker: Sida I. Wang, Meta AI (FAIR) ************************************************************** MOTIVATION In the language engineering and the linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, unrelated corpora on the other. Comparable corpora have been used in a range of applications, including Information Retrieval, Machine Translation, Cross-lingual text classification, etc.? The linguistic definitions and observations related to comparable corpora can improve methods to mine such corpora for applications of statistical NLP, for example to extract parallel corpora from comparable corpora for neural MT. As such, it is of great interest to bring together builders and users of such corpora. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora: * Automatic and semi-automatic methods * Methods to mine parallel and non-parallel corpora from the web * Tools and criteria to evaluate the comparability of corpora * Parallel vs non-parallel corpora, monolingual corpora * Rare and minority languages, across language families * Multi-media/multi-modal comparable corpora Applications of comparable corpora: * Human translation * Language learning * Cross-language information retrieval & document categorization * Bilingual and multilingual projections * (Unsupervised) Machine translation * Writing assistance * Machine learning techniques using comparable corpora Mining from Comparable Corpora: * Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models * Extraction of parallel segments or paraphrases from comparable corpora * Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) * Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora * Induction of morphological, grammatical, and translation rules from comparable corpora * Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities: * Comparing linguistic phenomena across languages in contrastive linguistics * Analyzing properties of translated language in translation studies * Studying language change over time in diachronic linguistics * Assigning texts to authors via authors' corpora in forensic linguistics * Comparing rhetorical features in discourse analysis * Studying cultural differences in sociolinguistics * Analyzing language universals in typological research IMPORTANT DATES July 18, 2023: Paper submission deadline July 31, 2021: Notification of acceptance August 25, 2021: Camera ready final papers September 7 or 8, 2023: Workshop date For updates see the workshop website at https://comparable.limsi.fr/bucc2023/ PRACTICAL INFORMATION Workshop registration is via the main conference registration site, see http://ranlp.org/ranlp2023/index.php/fees-registration/ The workshop proceedings will be published in the ACL Anthology. SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at http://ranlp.org/ranlp2023/index.php/submissions/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/ranlp23/BUCC/ Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings, which will be included in the ACL Anthology. Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately (i.e. as soon as known to the authors) notified to the workshop organizers by e-mail. For further information and updates see the BUCC 2023 website: https://comparable.limsi.fr/bucc2023/ BUCC 2023 SHARED TASK Bilingual Term Alignment in Comparable Specialized Corpora The BUCC 2023 shared task is on multilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure the performance of the systems, the published results are not comparable and the pros and cons of the various approaches are not clear. The shared task aims at solving these problems by organizing a fair comparison of systems. This is accomplished by providing corpora and evaluation datasets for a number of language pairs and domains. Moreover, the importance of dealing with multi-word expressions in Natural Language Processing applications has been recognized for a long time. In particular, multi-word expressions pose serious challenges for machine translation systems because of their syntactic and semantic properties. Furthermore, multi-word expressions tend to be more frequent in domain-specific text, hence the need to handle them in tasks with specialized-domain corpora. Through the 2023 BUCC shared task, we seek to evaluate methods that detect pairs of terms that are translations of each other in two comparable corpora, with an emphasis on multi-word terms in specialized domains. For the schedule and further details see the shared task website at https://comparable.limsi.fr/bucc2023/bucc2023-task.html WORKSHOP ORGANIZERS * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) * Serge Sharoff (University of Leeds, United Kingdom) Contact workshop: reinhardrapp (at) gmx (dot) de Contact shared task: pz (at) lisn (dot) fr PROGRAMME COMMITTEE * Ebrahim Ansari (Institue for Advanced Studies in Basic Sciences, Iran) * Thierry Etchegoyhen (Vicomtech, Spain) * Philippe Langlais (Université de Montréal, Canada) * Yves Lepage (Waseda University, Japan) * Shervin Malmasi (Amazon, USA) * Emmanuel Morin (Université de Nantes, France) * Dragos Stefan Munteanu (RWS, USA) * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Nasredine Semmar (CEA LIST, Paris, France) * Serge Sharoff (University of Leeds, UK) * Richard Sproat (OGI School of Science & Technology, USA) * Tim Van de Cruys (KU Leuven, Belgium) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France)

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Last Call for Papers – Extended Deadline (NLP4TIA)
by Dola Mullage, Damith P. 08 Jul '23

08 Jul '23

Apologies for cross posting International workshop NLP for translation and interpreting applications (NLP4TIA) Varna, Bulgaria, 7/8 September 2023 https://nlp4tia.web.uah.es/ Last Call for Papers – Extended Deadline In the last two decades, we have been able to witness a technological turn in translation and interpreting studies with Natural Language Processing (NLP) and deep learning playing more and more prominent part. There is already a growing number of NLP applications that are used to support the work of translators and interpreters. In addition, the recent advances in (and latest models of) deep learning have powered the further development and success of high performing Neural Machine Translation (NMT) systems. Translation technology has revolutionised the translation profession and nowadays most professional translators employ tools such as translation memory (TM) systems in their daily work. Latest advances of Neural Machine Translation (NMT) have resulted in NMT not only becoming an integral part of most state-of-the art TM tools but also typical for the translation workflow of many companies, organisations and freelance translators. Although translation has benefited more from technological advances, interpreting has also experienced a technological turn. However, it has not been until some years ago that soft technology has permeated interpreting practice and research. Computer assisted translation, MT and NLP tools have been adapted to be used by interpreters. In addition, corpus-based studies have also underpinned dialogue interpreting. The increasing interest in NLP, MT and the automation of processes has brought us to multidisciplinary projects that deal with the development of models for automated oral communication. Machine interpreting has already been developed and is being improved, focusing on speed and accuracy matters. Either domain-specific (commercial, military, humanitarian) or general (Skype Translator), there is still a long way to go to render machine interpreting more human-like. Many of the above recent developments have to do with the employment of Natural Language Processing tools and resources to support the work of translators and interpreters. This workshop is expected to discuss the growing importance of NLP in different translation and interpreting scenarios. Workshop topics The workshop invites submissions reporting original unpublished work on topics including but not limited to: * NLP and MT for under-resourced languages; * Translation Memory systems; * NLP and MT for translation memory systems; * NLP for CAT and CAI tools; * Integration of NLP tools in remote interpreting platforms; * NLP for dialogue interpreting; * Development of NLP based applications for communication in public service settings (healthcare, education, law, emergency services); * Corpus-based studies applied to translation and interpreting.; * Machine translation and machine interpreting; * Resources for translation and machine translation; * Resources for interpreting and interpreting technology application; * Quality estimation of human and machine translation; * Post-editing strategies and tools; * Automatic post-editing of MT; * NLP and MT for subtitling. * Technology acceptance by interpreters and translations; * Machine Translation and translation tools for literary texts; * Evaluation of machine translation and translation and interpreting tools in general; * The impact of the technological turn in translation and interpreting; * Cognitive effort and eye-tracking experiments in translation and interpreting; * Development of models for research and practice of translation and interpreting; * Multidisciplinary cooperation in NLP applied to translation and interpreting. Submissions and publication Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as NLP4TIAworkshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English and should be submitted via the conference management system START using this link<https://softconf.com/ranlp23/NLP4TIA/>. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions should be compliant with the below templates and should be uploaded as pdf files in START (START is configured to accept pdf files only). The following templates should be used: LaTeX at Overleaf<https://www.overleaf.com/latex/templates/instructions-for-ranlp-2023-procee…>, LaTeX<http://ranlp.org/ranlp2023/Templates/ranlp2023-LaTeX.zip> , MS Office<http://ranlp.org/ranlp2023/Templates/ranlp2023-word.docx> Important dates Deadline for paper submission: 10 July 2023 Deadline for paper submission (extended): 23 July 2023 Acceptance notification: 10 August 2023 Final camera-ready version: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 NLP4TIA workshop: 7/8 September 2023 Workshop Chairs Raquel Lázaro Gutiérrez (Universidad de Alcalá) Antonio Pareja Lora (Universidad de Alcalá) Ruslan Mitkov (Lancaster University) Programme Committee Cristina Aranda (Big Onion) Juanjo Arevalillo (Hermes Traducciones) Silvia Bernardini (University of Bologna) Gabriel Cabrera Méndez (Dualia Teletraducciones) Matt Coler (University of Groningen) Elena Davitti (University of Surrey) Joanna Drugan (Heriot-Watt University) Marie Escribe (LanguageWire) Claudio Fantinuoli (Mainz University/KUDO Inc) Antonio García Cabot (Universidad de Alcalá) Adriana Jaime Pérez (Migralingua Voze) Miguel Ángel Jiménez Crespo (Rutgers University) Óscar Luis Jiménez Serrano (University of Granada) Koen Kerremans (Free University Brussel) Maria Kunilovskaya (Saarland University) Els Lefever (Ghent University) Pilar León Arauz (University of Granada) Johanna Monti (University of Naples L’Orientale) Elena Montiel Ponsoda (Polytechnic University of Madrid) Helena Moriz (University of Lisbon) Elena Murgolo (Orbital 14) Dora Murgu (Interprefy) Constantin Orasan (University of Surrey) María Teresa Ortego Antón (University of Valladolid) Tharindu Ranasinghe (Aston University) Celia Rico (Universidad Complutense de Madrid) Caroline Rossi (University Grenoble les Alpes) María del Mar Sánchez Ramos (Universidad de Alcalá) Miriam Seghiri (University of Malaga) Vilelmini Sosoni (Ionian University) Rui Manuel Sousa Silva (University of Porto) Nicoletta Spinolo (University of Bologna) Venue The workshop will take place at hotel Cherno More<https://www.chernomorebg.com/en/> in Varna. Further information and contact details Registration for NLP4TIA is now open and is done via the RANLP main conference page. To register, please complete the registration form<https://url6.mailanyone.net/scanner?m=1pii0v-000B6E-3x&d=4%7Cmail%2F14%2F16…>. The conference website ( https://nlp4tia.web.uah.es/) will be updated on a regular basis. For further information, please email raquel.lazaro(a)uah.es<mailto:raquel.lazaro@uah.es>.

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CFP - SIMBig 2023 - New Dates in Mexico
by Juan Antonio Lossio-Ventura 08 Jul '23

08 Jul '23

> [Apologies for cross-posting] > ====================================================================== > NEW DATES - CFP - SIMBig 2023 > ====================================================================== > > SIMBig 2023 - 10th International Conference on Information Management and Big Data > Where: Instituto Politécnico Nacional, Mexico DF, MEXICO > When: October 18 - 20, 2023 > Website: https://simbig.org/SIMBig2023/ > > ====================================================================== > > OVERVIEW > ---------------------------------- > > SIMBig 2023 seeks to present new methods of Artificial Intelligence (AI), Data Science, Machine Learning, Natural Language Processing, Semantic Web, and related fields, for analyzing, managing, and extracting insights and patterns from large volumes of data. > > > KEYNOTE SPEAKERS (to be confirmed) > ---------------------------------- > Mona Diab, Meta AI, USA Finale Doshi-Velez, Harvard University, USA Huan Liu, Arizona State University, USA > > IMPORTANT DATES > ---------------------------------- > > July 24, 2023 --> Full papers and short papers due > August 28, 2023 --> Notification of acceptance > September 10, 2023 --> Camera-ready versions > October 18 - 20, 2023 --> Conference held in Mexico DF, Mexico > > PUBLICATION > ---------------------------------- > > All accepted papers of SIMBig 2023 (tracks including) will be published with Springer CCIS Series <https://www.springer.com/series/7899> (to be confirmed). > > Best papers of SIMBig 2023 (tracks including) will be selected to submit an extension to be published in the Springer SN Computer Science Journal. <https://www.springer.com/journal/42979> > TOPICS OF INTEREST > ---------------------------------- > > SIMBig 2023 has a broad scope. We invite contributions on theory and practice, including but not limited to the following technical areas: > > Artificial Intelligence > Big/Masive Data > Data Science > Machine Learning > Deep Learning > Natural Language Processing > Semantic Web > Data-driven Software Engineering > Data-driven software adaptation > Healthcare Informatics > Biomedical Informatics > Data Privacy and Security > Information Retrieval > Ontologies and Knowledge Representation > Social Networks and Social Web > Information Visualization > OLAP and Business intelligence > Crowdsourcing > > SPECIAL TRACKS > ---------------------------------- > > SIMBig 2023 proposes six special tracks in addition to the main conference: > > ANLP <https://simbig.org/SIMBig2023/en/anlp.html> - Applied Natural Language Processing > DISE <https://simbig.org/SIMBig2023/en/dise.html> - Data-Driven Software Engineering > EE-AI-HPC <https://simbig.org/SIMBig2023/en/eeaihpc.html> - Efficiency Enhancement for AI and High-Performance Computing > SNMAM <https://simbig.org/SIMBig2023/en/snmam.html> - Social Network and Media Analysis and Mining > > CONTACT > ---------------------------------- > > SIMBig 2023 General Chairs > > Juan Antonio Lossio-Ventura, National Institutes of Health, USA (juan.lossio(a)nih.gov <mailto:juan.lossio@nih.gov>) > Hugo Alatrista-Salas, Pontificia Universidad Católica del Perú, Peru (halatrista(a)pucp.pe <mailto:halatrista@pucp.pe>)

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CLiC-it 2023 - Ninth Italian Conference on Computational Linguistics - 2nd CfP
by Magnini Bernardo 07 Jul '23

07 Jul '23

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Ninth Italian Conference on Computational Linguistics ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 30 November - 2 December, 2023, Venice, Italy Second Call for Papers (and deadline extension) https://clic2023.ilc.cnr.it/ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ The Italian Conference on Computational Linguistics, CLiC-it, aims at establishing a reference forum for the Italian community of researchers working in the fields of Computational Linguistics (CL) and Natural Language Processing (NLP). CLiC-it promotes and disseminates high-level, original research on all aspects of automatic language processing, both written and spoken, and targets state-of-the-art theoretical results, experimental methodologies, technologies, as well as application perspectives, which may contribute to the advancement of the CL and NLP fields. The spirit of the conference is inclusive. In the conviction that the complexity of language phenomena needs cross-disciplinary competences, CLiC-it intends to bring together researchers of related disciplines such as Computational Linguistics, Natural Language Processing, Linguistics, Cognitive Science, Machine Learning, Computer Science, Knowledge Representation, Information Retrieval, and Digital Humanities. CLiC-it is open to contributions on all languages, with a particular emphasis on Italian. The ninth edition of CLiC-it will be held in Venice, on 30 November - 2 December, 2023. CLiC-it is organised by the Italian Association of Computational Linguistics (AILC -- www.ai-lc.it). Submission Format ------------------------- CLiC-it 2023 invites the submission of long and short papers in all aspects of Computational Linguistics and Natural Language Processing. CLiC-it 2023 aims to have a broad technical program. Relevant topics for the conference include, but are not limited to (in alphabetical order): - Computational Historical Linguistics - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Ethics and NLP - Generation - Handwritten Text Recognition - Information Extraction - Information Retrieval and Text Mining - Interpretability and Analysis of Models for NLP - Language Grounding to Vision, Robotics and Beyond - Large Language Models - Linguistic Diversity - Linguistic Theories, Cognitive Modeling, and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilingualism and Cross-Lingual NLP - NLP Applications - NLP for the Humanities - Phonology, Morphology, and Word Segmentation - Pragmatics and Creativity - Question Answering - Resources and Evaluation - Semantics: Lexical, Sentence-level Semantics, Textual Inference, and Other Areas - Sentiment Analysis, Stylistic Analysis, and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing Paper Types and Formats --------------------------------- - Long papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to six (6) pages of content, plus unlimited pages of references and appendices. Final versions of long papers will be given one additional page of content (up to seven (7) pages), so that reviewers’ comments can be taken into account. Please note that, following CEUR specifications, the minimum length of the camera-ready version of a long paper is 25,000 characters, spaces and references included. - Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a small, focused contribution - a point that can be made in a few pages with sufficient level of detail. Short papers may consist of up to three (3) pages of content, plus unlimited pages of references and appendices. Final versions of short papers will be given one additional page of content (up to four (4) pages), so that reviewers’ comments can be taken into account. Please note that, following CEUR specifications, the minimum length of the camera-ready version of a short paper is 12,500 characters, spaces and references included. In particular, CLiC-it 2023 welcomes the following kinds of contributions: - Computationally-aided linguistic and literary analysis (of either models or data resources) - NLP engineering experiment - Reproduction study - New data resources, particularly for Italian and for low-resource languages - Approaches for data- and compute efficiency - Position papers - Surveys - Publicly available software and pre-trained models Both, long and short papers, will be evaluated according to the following criteria: - soundness of approach - relevance to computational linguistics - novelty and clarity of relation with related work - quality of presentation - quality of evaluation (only for long papers, if applicable) - verifiability and ability to replicate (only for long papers, if applicable) While there is no direct mapping between types of contributions and paper length, some kinds of papers naturally gravitate towards a certain length: e.g. surveys are more likely to be long rather than short papers. One paper can make more than one contribution of different types (e.g., a paper presenting a new resource and experiments using the resource). Papers can be either in English or Italian, with the abstract both in English and Italian. Papers must be submitted through the OpenReview platform using the following link: https://openreview.net/group?id=AI-LC.it/CLiC-it/2023/Conference Both long and short papers must follow the CLiC-it two-column format, using the supplied official style files. We strongly recommend the use of LaTeX style files or Microsoft Word style files according to the following formats: - LaTex Template: https://clic2023.ilc.cnr.it/wp-content/uploads/2023/04/clic2023.zip - Word Template: https://clic2023.ilc.cnr.it/wp-content/uploads/2023/04/clic2023.odt Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Reviewing will NOT be blind, so there is no need to remove author information from manuscripts. Research Communication Papers ------------------------------------------- CLiC-it 2023 favours a parallel submission policy for outstanding papers that have been submitted and accepted elsewhere in 2022 and 2023. If you are the author of a paper accepted at a major international CL conference or journal in 2022 or 2023, you can submit your work at CLiC-it 2023 in the form of a short research communication, within a dedicated session at the conference. Research communications will not be published in the proceedings, but are mostly intended to enforce dissemination of excellence in research within the Italian CL community. The papers submitted must be in scope for the CLiC-it 2023 conference. The authors of any paper that meets the above criteria are invited to submit a written (maximum) one-page document with the abstract of the original paper, the paper’s title, the paper’s authors, and a pointer to the original journal paper at the conference or journal Web site. Authors will be invited to present their papers at CLiC-it 2023 after a check that the paper satisfies the above listed criteria. As the papers have already been reviewed and published, they will not be reviewed again. In the case that an exceptionally high number of submissions is received, a selection will be made, also based on the original publication venue. Priority will be given to papers that better fit the conference program, offering a balance across the conference topics. Awards ---------- In order to award the work of young researchers, the title of “best paper” will be attributed to the best papers in different research areas with a Master/PhD student among the authors and presenting the work at the conference. The awarded authors will be invited to submit an extended version of their papers to the Italian Journal of Computational Linguistics (IJCoL). To recognise excellence in student research as well as promote awareness of our field and with the endorsement of AILC, we are conferring the “Emanuele Pianta” prize for the best Master Thesis (Laurea Magistrale) in Computational Linguistics submitted at an Italian University. The prize consists of 500 euro plus free membership to AILC for one year and free registration to the upcoming CLiC-it, where the author will have the chance to present her/his thesis. The complete call is available on the conference website at: “Calls > AILC Master Thesis Award”. Multiple Submission Policy ----------------------------------- CLiC-it 2023 allows for a multiple submission policy. In case of acceptance of the paper in other venues, the authors must communicate this information to the CLiC-it 2023 Chairs as soon as possible. Important Dates ---------------------- 20/07/2023 31/07/2023 at 10AM (extended): Paper submission deadline: long, short, research communications 29/09/2023: Notification to authors of reviewing outcome 20/10/2023: Camera ready version of accepted papers 30/11 - 2/12/2023: CLiC-it Conference, Venice People --------- Conference Chairs: - Federico Boschetti (Institute for Computational Linguistics "A. Zampolli", CNR / Ca' Foscari University of Venice) - Gianluca E. Lebani (Ca' Foscari University of Venice) - Bernardo Magnini (Fondazione Bruno Kessler) - Nicole Novielli (University of Bari "Aldo Moro") Local Organizing Committee: - Franz Fischer (Ca' Foscari University of Venice) - Francesca Dall’Igna (IUSS, School for Advanced Studies Pavia) - Luca Molinari (Ca' Foscari University of Venice / University of Warsaw) - Cristina Procentese (Ca' Foscari University of Venice) Proceedings Chairs: - Alice Suozzi (Ca' Foscari University of Venice) - Andrea Zaninello (Fondazione Bruno Kessler) Webmasters: - Eleonora Ghizzota (University of Bari "Aldo Moro") - Tiziano Labruna (Fondazione Bruno Kessler) Publicity Chair - Sofia Brenna (Fondazione Bruno Kessler) Further information -------------------------- Conference website: https://clic2023.ilc.cnr.it/ Mail: clicit2023(a)gmail.com Twitter: @CLiC_it_conf -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Deadline extension: The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs)
by amalhaddad＠ugr.es 07 Jul '23

07 Jul '23

The 1st Workshop on Computational Terminology in NLP and Translation Studies (ConTeNTs) Varna, 7th-8th September, 2023 In conjunction with RANLP 2023 - International Conference "Recent Advances in Natural Language Processing" Final call for papers Computational Terminology and new technologies applied to translation studies have attracted the interest of researchers with very different multidisciplinary backgrounds and motivations. Those fields cover a range of areas in Natural Language Processing (NLP) such as information retrieval, terminology extraction, question-answering systems, ontology building, machine translation, computer-aided translation, automatic or semi-automatic abstracting, text generation, etc. Terminological identification, extraction and coinage of new terms are essential for knowledge mining from texts, both in high and low resources languages. Quick evolutions and new developments in specialised domains require efficient and systematic automatic term management. New terms need to be coined and translated to ensure the equitable development of domains in all languages. During the last decade, deep learning and neural methods have become the state of the art for most NLP applications. Those applications were shown to outperform previous methods on various tasks, including automatic term extraction, language mining, assessment of quality in machine translation, accessibility of terminology, etc. On the one hand, NLP and computational linguistics try to improve the work of translators and interpreters by developing Computer-Assisted Translation (CAT) tools, Translation Memories (TMs), terminological databases and terminology extraction tools, etc. On the other hand, the NLP field still needs the efforts and knowledge of translators, interpreters and linguists to provide better services and tools based on the real necessities of those language professionals. The aim of this workshop is to promote new insights into the ongoing and forthcoming developments in computational terminology by bringing together NLP experts, as well as terminologists and translators. By uniting researchers with such diverse profiles, we hope to bridge some of the gaps between these disciplines and inspire a dialogue between various parties, thus paving the way to more artificial intelligence applications based on mutual collaboration between language and technology. Topics of Interest The ConTeNTs workshop invites the submission of papers reporting on original and unpublished research on topics related to Computational Terminology in NLP and Translation Studies, including but not limited to: * Automatic term extraction: monolingual and multilingual extraction of terms from parallel and comparable corpora, including single and multiword expressions; * Extraction and acquisition of semantic relations between terms; * Extraction and generation of domain specific definitions and disambiguation of terms; * Representation of terms, management of term variation and the discovery of synonym terms or term clusters and its relation to NLP applications; * Extraction of terminological context, through the use of comparable and parallel corpus; * Accessibility of terminology in certain domains, relevant to non-experts or to laypersons, and its relevance to NLP applications such as, chatbots, automatic email generation or spoken language interface; * The impact of terminology on MT (applying terminology constraints, evaluation of MT in domain-specific settings, etc.); * The creation of domain ontologies, thesaurus, terminological resources in specialised domains; * The use of new technologies in translation studies and research and the use of terminological resources in specialised translation; * Identification of key problems in terminology and new technologies used in translation studies; * Evaluation of terminological resources in various NLP applications and the impact of these resources have on the performance of the automatic systems; * Emerging language technologies: how the increased reliance on real-time language technologies would change the structure of language; * Corpus based studies applied to translation and interpreting: the use of parallel and comparable corpora for translating phraseological units; * Phraseology and multiword expressions in cross-linguistic studies; * Translation and interpreting tools, such as translation memories, machine translation and alignment tools; * User requirements for interpreting and translation tools. SUBMISSION GUIDELINES Submissions must consist of full-text papers and should not exceed 7 pages excluding references, they should be a minimum of 5 pages long. The accepted papers will be published as ConTeNTs workshop e-proceedings with ISBN, will be assigned a DOI and will be also available at the time of the conference. The papers should be in English. Authors of accepted papers will receive guidelines regarding how to produce camera-ready versions of their papers for inclusion in the proceedings. Each submission will be reviewed by at least two programme committee members. Accepted papers will be presented orally as part of the programme of the workshop. Submissions Link to START system: https://softconf.com/ranlp23/ConTeNTS Website of the workshop: https://contents2023.kulak.kuleuven.be/ Should you require any assistance with the submission, please do not hesitate to contact us at amalhaddad(a)ugr.es and ayla.rigoutsterryn(a)kuleuven.be. Important Dates Deadline for paper submission: 10 July 2023 31 July 2023 Acceptance notification: 5 August 2023 Final camera-ready version: 25 August 2023 Workshop camera-ready proceedings ready: 31 August 2023 ConTeNTs workshop: 7/8 September 2023 Workshop Chairs & Organising Committee Ayla Rigouts Terryn, Katholieke Universiteit Leuven, Belgium Amal Haddad Haddad, Universidad de Granada, Spain Ruslan Mitkov, University of Wolverhampton, United Kingdom Programme Committee * Sophia Ananiadou (University of Manchester) * Maria Andreeva Todorova (Bulgarian Academy of Sciences) * Silvia Bernardini (University of Bologna) * Melania Cabezas García (Universidad de Granada) * Rute Costa (Universidade Nova de Lisboa) * Esther Castillo Pérez (Universidad de Granada) * Patrick Drouin (Université de Montréal) * Pamela Faber (Universidad de Granada) * Mercedes García de Quesada (Universidad de Granada) * Dagmar Gromann (Centre for Translation Studies - University of Vienna) * Tran Thi Hong Hanh (L3i Laboratory, University of La Rochelle) * Rejwanul Haque (National College of Ireland) * Amir Hazem (Nantes University) * Kyo Kageura (University of Tokyo) * Barbara Karsch (BIK Terminology - USA) * Dorothy Kenny (Dublin City University) * Miloš Jakubíček (Sketch Engine) * Hendrik Kockaert (KU Leuven) * Philipp Koehn (Johns Hopkins University) * Maria Kunilovskaya (Saarland University) * Marie-Claude L'Homme (Université de Montréal) * Hélène Ledouble (Université de Toulon) * Pilar León-Araúz (Universidad de Granada) * Rodolfo Maslias (former Head of TermCoord, European Parliament) * Silvia Montero Martínez (Universidad de Granada) * Emmanuel Morin (LS2N-TALN) * Rogelio Nazar (Pontificia Universidad Católica de Valparaíso) * Sandrine Peraldi (University College Dublin) * Silvia Piccini (Italian National Research Council) * Thierry Poibeau (CNRS) * Senja Pollak (Jožef Stefan Institute) * Maria Pozzi Pardo (El Colegio de México) * Tharindu Ranasinghe (Aston University) * Arianne Reimerink (Universidad de Granada) * Andres Repar (Jožef Stefan Institute) * Christophe Roche (Université Savoie Mont-Blanc) * Antonio San Martín Pizarro (Université du Québec à Trois-Rivières) * Beatriz Sánchez Cárdenas (Universidad de Granada) * Vilelmini Sosoni (Ionian University) * Irena Spasic (Cardiff University) * Elena Isabelle Tamba (Romanian Academy, Iași Branch) * Rita Temmerman (Vrije Universiteit Brussel) * Jorge Vivaldi Palatresi (Universitat Pompeu Fabra)

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Second CfPs PHRAME project closing event (deadline: 16/07/2023)
by Luciana Forti 07 Jul '23

07 Jul '23

PHRAME: Phraseological complexity measures in learner Italian. Integrating eye tracking, computational and learner corpus methods to develop second language pedagogical resources Closing event Perugia, 27-28 November 2023 SECOND CALL FOR PAPERS We invite contributions including, but not limited to, the following areas of research: - Corpus-based approaches in the study of L2 phraseology - Psycholinguistic approaches in the study of L2 phraseology - Computational and NLP approaches in the study of L2 phraseology - Complexity theory and second language acquisition studies - Mixed-methods approaches in the study of L2 phraseology - Syllabus design for the development of phraseological competence - Testing and assessing L2 phraseological competence Keynote speakers of the event will be: - Philip Durrant (University of Exeter) - Gabriele Pallotti (University of Modena and Reggio Emilia) - Anna Siyanova-Chanturia (University of Wellington and Ocean University of China) Guidelines - The event will be in-person only, with live-streaming.- Paper proposals may refer to languages other than Italian.- The abstracts for full paper presentations should be written in English. They should not exceed 500 words, references included. The abstract should be sent to progettophrame(a)gmail.com in a Word document containing the following information: - Title of the proposed presentation - Name of the author(s) - Affiliation of the author(s) - The presented papers will be collected and published.- Registration for in-person participation will open on 4th September and close on 10th November 2023.- The official languages of the event are Italian and English. Important dates 16 July 2023: Abstract submission closes.30 August 2023: Abstract reviews assigned.17 September 2023: Abstract reviews completed.22 September 2023: Notification to authors.10 November 2023: Registration for in-person participation closes.27-28 November 2023: PHRAME closing event. Any questions regarding the call for papers and the event may be directed to progettophrame(a)gmail.com. Scientific and organising Committee: Giulio Biondi, Veronica D’Alesio, Irene Fioravanti, Luciana Forti, Valentina Franzoni, Sabine Koesters Gensini, Francesca La Russa, Francesca Malagnini, Alfredo Milani, Maria Roccaforte, Valentino Santucci, Stefania Spina, Fabio Zanda. References - Altenberg, B. (1998). On the phraseology of spoken English: The evidence of recurrent word-combinations. In A. P. Cowie (Ed.), Phraseology: Theory, analysis and applications (pp. 101–122). Oxford University Press. - Paquot, M. (2018). Phraseological Competence: A Missing Component in University Entrance Language Tests? Insights From a Study of EFL Learners’ Use of Statistical Collocations. Language Assessment Quarterly, 1–15.< - Sinclair, J. M. (1991). Corpus, Concordance, Collocation. Oxford University Press. - Siyanova-Chanturia, A., & Pellicer-Sánchez, A. (2019). Understanding Formulaic Language A Second Language Acquisition Perspective. Routledge. Web page of the event: PHRAME: Phraseological complexity Measures in learner Italian (Closing event) | | | | | | | | | | | PHRAME: Phraseological complexity Measures in learner Italian (Closing e... Second Call for Papers We invite contributions including, but not limited to, the following areas of research: C... | | |

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Call for Abstracts - NARNiHS 2024 Annual Meeting New York City
by NAm Research Network in HistSocio 07 Jul '23

07 Jul '23

NARNiHS 2024 North American Research Network in Historical Sociolinguistics Sixth Annual Meeting Co-Located with the Linguistic Society of America (LSA) Annual Meeting 100 % IN PERSON New York, NY USA. After three all-online editions, the NARNiHS Annual Meeting is back in person! We encourage our fellow historical sociolinguists and scholars from related fields from our global scholarly community (in addition to North America) to join us in New York City for our Sixth Annual Meeting. Abstract submission deadline: Friday, 11 August 2023, 11:59 PM US Eastern Time. Please see our call for abstracts below and send us your latest work in historical sociolinguistics! —————————— Call for Abstracts —————————— The North American Research Network in Historical Sociolinguistics (NARNiHS) is accepting abstracts for its Sixth Annual Meeting (NARNiHS 2024), Thursday, January 4 – Sunday, January 7, 2024. Deadline for receipt of abstracts: Friday, 11 August 2023, 11:59 PM US Eastern Time. Late abstracts will not be considered. NARNiHS welcomes abstracts in all areas of historical sociolinguistics, which is understood as the application/development of sociolinguistic theories, models, and methods for the study of historical language variation and change over time, or more broadly, the study of the interaction of language and society in historical periods and from historical perspectives. Thus, a wide range of linguistic areas, subdisciplines, and methodologies easily find their place within the field, and we encourage submission of abstracts that reflect this broad scope. Abstracts will be accepted for both 20-minute papers and posters. Please note that, at the NARNiHS annual meeting, poster presentations are an integral part of the conference (not second-tier presentations). Abstracts will be assigned a paper or a poster presentation based on determinations in the review process about the most effective format for the submission. However, if you prefer that your submission be considered primarily for poster presentation, please specify this in your abstract. Abstracts will be evaluated on the following criteria: ● explicit discussion of which theoretical frameworks, methodological protocols, and analytical strategies are being applied or critiqued; ● sufficient (if brief) presentation of data sources and examples to allow reviewers a clear understanding of the scope and claims of the research; ● clear articulation of how the research advances knowledge in the field of historical sociolinguistics. Abstracts should also be anonymized to allow for blind peer review. Failure to adhere to these criteria will significantly increase the likelihood of non-acceptance (see point iii below). General Requirements: 1) Abstracts must be submitted electronically, using the following link: https://easyabs.linguistlist.org/conference/NARNiHS2024 <https://can01.safelinks.protection.outlook.com/?url=https%3A%2F%2Feasyabs.l…> 2) Authors may submit a maximum of two abstracts: one single-author abstract and one co-authored abstract. 3) Authors may not submit identical abstracts for presentation at the NARNiHS meeting and at the LSA Annual Meeting or one of the other LSA Sister Societies (ADS, ANS, NAAHoLS, SCiL, SPCL, SSILA). 4) Specify in the abstract if you prefer that your submission be considered primarily for a poster presentation. 5) After an abstract has been submitted, no changes of author, title, or wording of the abstract, other than those due to typographical errors, are permitted. If accepted, authors will be contacted for a final version for the abstract booklet. 6) Papers or posters must be delivered as projected in the abstract or represent bona fide developments of the same research. 7) Authors are expected to attend the conference in-person and present their own papers and posters. This will not be a hybrid event. 8) We are planning for an LCD projector with sound to be available for all paper presentations. Abstract Format Guidelines: i. Abstracts must be submitted in PDF format. ii. Abstracts must fit on one standard 8.5×11 inch page, with margins no smaller than 1 inch and a font style and size no smaller than Times New Roman 12 point. All additional content (visualizations, trees, tables, figures, captions, examples, and references) must fit on a single (1) additional page. No exceptions to these requirements are allowed. iii. Anonymize your abstract. We realize that sometimes it is not possible to attain complete anonymity, but there is a difference between “inability to anonymize completely” (due to the nature of the research) and “careless non-anonymizing” (for example: “In Jones 2021, I describe…”). In addition, be sure to anonymize your PDF file (you may do so in Adobe Acrobat Reader by clicking on “File”, then “Properties”, removing your name if it appears in the “Author” line of the “Description” tab, and re-saving before submitting it). Please be aware that abstract file names might not be automatically anonymized by the system; do not use your name (e.g. Smith_Abstract.pdf) when saving your abstract in PDF format, rather, use non-identifying information (e.g. HistSoc4Lyfe_NARNiHS.pdf). Your name should only appear in the online form accompanying your abstract submission. Papers that are not sufficiently anonymized wherever possible (whether in the text of the abstract or in the metadata of the digital file) risk being rejected. Contact us at NARNiHistSoc(a)gmail.com with any questions.

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ALSFAL2023: Prazos/plazos/Deadlines
by Rodrigo Esteves de Lima Lopes 07 Jul '23

07 Jul '23

*Versões em Português, Espanhol e Inglês* *Versions in Portuguese, Spanish, and English* *Versiones en Portugués, Español e Inglés* English Dear Colleagues, It is a pleasure to inform deadline extensions and publication opportunities for ALSFAL2023: 18th Congress of the Latin American Systemic Functional Linguistics Association. Abstract Submissions: The submission deadline for abstracts (in all categories) and workshop registrations has been extended until July 29, 2023. Publication ALSFAL2023 will organize a book containing selected works from the event. Further information will be announced soon. About the event: ALSFAL2023 will take place at UNICAMP from September 25 to 29, 2023. For further information, please refer to our website: https://www2.iel.unicamp.br/alsfal2023/ Português Caros colegas, É com prazer que trazemos informações sobre prorrogações de prazos e oportunidade de publicação no ALSFAL2023: Congresso da Associação de Linguística Sistêmico-Funcional da América Latina. Submissões de trabalhos e minicursos A submissão de trabalhos (em todas as modalidades) e inscrições em minicursos está prorrogada até 29/07/2023. Publicações A ALSFAL2023 organizará um livro com um conjunto de trabalhos selecionados no evento. Mais informações serão divulgadas em breve. Sobre o evento: A ALSFAL2023 será realizada na UNICAMP entre 25 e 29 de setembro de 2023. Maiores informações em nosso endereço eletrônico: https://www2.iel.unicamp.br/alsfal2023/ Español Estimados colegas, Es un placer informarles sobre la ampliación de plazos de presentación y oportunidades de publicación para ALSFAL2023: 18º Congreso de la Asociación Latinoamericana de Lingüística Sistémico-Funcional. Envío de resúmenes: El plazo de envío de resúmenes (en todas las categorías) e inscripciones a talleres se ha extendido hasta el 29 de julio de 2023. Publicación: ALSFAL2023 organizará un libro que contendrá trabajos seleccionados del evento. Próximamente se anunciará más información al respecto. Sobre el evento: ALSFAL2023 se llevará a cabo en la UNICAMP del 25 al 29 de septiembre de 2023. Para más información, les invitamos a visitar nuestro sitio web: https://www2.iel.unicamp.br/alsfal2023/. --- *Rodrigo Esteves de Lima Lopes* rll307(a)unicamp.br Professor Associado *||* Associate Professor Universidade Estadual de Campinas *||* State University of Campinas Depto. de Linguística Aplicada *|| *Dept. of Applied Linguistics CV (Português) <http://lattes.cnpq.br/1654734521861377> || ORCID <https://orcid.org/0000-0003-3681-1553> || Google Scholar <https://scholar.google.com.br/citations?user=q1V4jksAAAAJ&hl=pt-BR>

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PhD position in NLP for Health Data Science at Amsterdam UMC, University of Amsterdam
by Coimbra Alves Cavalcanti, I. (Iacer) 07 Jul '23

07 Jul '23

*** Apologies for cross-posting *** Dear colleagues, We have a fully-funded PhD position in the exciting area of Natural Language Processing for Health Data Science in the Amsterdam UMC<https://www.amsterdamumc.org/en/research.htm> at the University of Amsterdam<https://www.uva.nl/en>! Do you have a strong background in NLP, ML and AI, and a keen interest in applications of large language models for health data science? Please consider applying, we are accepting applications until July 16! You will be part of the DataTools4Heart project<https://www.datatools4heart.eu/> and will have real impact on healthcare applications with a focus on cardiology. You will develop novel state-of-the-art large language models for Dutch and/or more languages, and will have the opportunity to collaborate with the many partners of the project across many countries and institutions within Europe. The PhD will be jointly supervised by myself<https://iacercalixto.github.io/> and a great interdisciplinary team! The researcher will be embedded in the Medical Informatics and Cardiology departments at the Amsterdam UMC, University of Amsterdam. Apply here: https://werkenbij.amsterdamumc.org/en/vacatures/research/phd-natural-langua… (Please feel free to share with your students/communities) Have a great week, Iacer. Iacer Calixto | Assistant professor in the Department of Medical Informatics, Amsterdam UMC, University of Amsterdam. i.coimbra(a)amsterdamumc.nl<mailto:i.coimbra@amsterdamumc.nl> | iacer.calixto(a)uva.nl<mailto:iacer.calixto@uva.nl> | iacercalixto.github.io.<http://iacercalixto.github.io/> Member of the ACL<https://www.aclweb.org/portal/> and the ELLIS Society<https://ellis.eu/>. ______________________________________________________ AmsterdamUMC disclaimer : www.amsterdamumc.org/disclaimers

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EACL 2024: First Call for Papers
by Yuval Pinter 07 Jul '23

07 Jul '23

*First Call for Papers: EACL 2024* The 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024) invites the submission of long and short papers on substantial, original, and unpublished research on Natural Language Processing. EACL 2024 will be held in Malta on 17th-22nd March 2024, with online attendance possible. Papers must be submitted to EACL 2024 via the ACL Rolling Review (ARR) system. As in recent years, some of the presentations at the conference will be for papers accepted by the Transactions of the ACL (TACL) and Computational Linguistics (CL) journals. Important Dates Anonymity period begins Friday 15 September 2023 Paper submission deadline (via ARR) Sunday 15 October 2023 Author response period Friday-Tuesday 8-12 December 2023 Paper commitment deadline Sunday 20 December 2023 Notification of acceptance (long & short papers) Monday 15 January 2024 Withdrawal deadline (long & short papers) Monday 22 January 2024 Camera-ready papers due (long & short papers) Wednesday 31 January 2024 Workshops & Tutorials Sunday; Thu-Fri 17 & 21-22 March 2024 Main Conference Monday-Wed 18-20 March 2024 All deadlines are 11.59 pm UTC -12h <https://www.timeanddate.com/time/zone/timezone/utc-12> (“anywhere on Earth”).Paper Submission InformationTopics of Interest EACL 2024 has the goal of a broad technical program. Relevant topics for the conference include, but are not limited to, the following areas (in alphabetical order): - Computational Social Science and Cultural Analytics - Dialogue and Interactive Systems - Discourse and Pragmatics - Efficient/Low-resource methods in NLP - Ethics and NLP - Generation - Information Retrieval and Text Mining - Information Extraction - Interpretability and Model Analysis in NLP - Language Grounding to Vision, Robotics and Beyond - Linguistic Theories, Cognitive Modeling and Psycholinguistics - Machine Learning for NLP - Machine Translation - Multilinguality and Language Diversity - NLP Applications - Phonology, Morphology, and Word Segmentation - Question Answering - Resources and Evaluation - Semantics: Lexical - Semantics: Sentence-level Semantics, Textual Inference and other areas - Sentiment Analysis, Stylistic Analysis and Argument Mining - Speech and Multimodality - Summarization - Syntax: Tagging, Chunking and Parsing Long Papers Long paper submissions must describe substantial, original, completed and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to 8 pages of content, plus unlimited pages for references and appendices. Upon acceptance, long papers will be given one additional page of content (i.e. up to 9 pages) in the proceedings so that reviewers’ comments can be taken into account. Short Papers Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Short papers may consist of up to 4 pages of content, plus unlimited references and appendices. Upon acceptance, short papers will be given one additional page of content (i.e. up to 5 pages) in the proceedings so that reviewers’ comments can be taken into account. Findings of the ACL Papers submitted to EACL 2024, but not selected for the main conference, will also automatically be considered for publication in the Findings of the Association of Computational Linguistics. Acceptance notifications for the main track and Findings will come out simultaneously. Presentation Mode Long and short papers will be presented orally or as posters, as determined by the programme committee based on the nature rather than the quality of the work. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between papers presented orally and as posters. Papers accepted to the Findings of the ACL may present a poster. Presentation Requirements All accepted papers must be presented at the conference—either online or in-person—in order to appear in the proceedings. Authors of papers accepted for presentation at EACL 2024 must notify the program chairs by the withdrawal deadline if they wish to withdraw the paper. At least one author of each accepted paper must register for EACL 2024 by the early registration deadline. Paper Submission and Anonymity Following standard ACL and ARR policy, submitted papers must be prepared for two-way anonymized review, and no deanonymized preprint may be posted in the month prior to submission. Please see the ARR CfP <https://aclrollingreview.org/cfp> for more detail. Policies on Authorship, Citation and Ethics EACL 2024 follows the ARR policies on authorship, citation and comparison and ethics - please see the ARR CfP <https://aclrollingreview.org/cfp>. Multiple Submission Policy EACL 2024 follows the ARR policy on multiple submission: we will not consider any paper that is under review in a journal or another conference at the time of submission, and submitted papers must not be submitted elsewhere during the review period. See the ARR CfP <https://aclrollingreview.org/cfp> for more detail. Please note that the EACL 2024 submission deadline is currently timed to come after EMNLP 2023 decisions have been announced, and that EACL 2024 acceptance decisions will be announced before the likely submission deadline for ACL 2024, although after that for NAACL 2024. Mandatory Discussion of Limitations We believe that it is also important to discuss the limitations of your work, in addition to its strengths. Following EACL 2023, EACL 2024 requires all papers to have a clear discussion of limitations, in a dedicated section titled “Limitations”. This section will appear at the end of the paper, after the discussion/conclusions section and before the references, and will not count towards the page limit. Papers without a limitations section will be automatically rejected without review. Papers resubmitted from previous ARR review rounds that did not include a limitations section must ensure that such a section is included in the EACL 2024 version. While we are open to different types of limitations, just mentioning that a set of results have been shown for English only probably does not reflect what we expect. Mentioning that the method works mostly for languages with limited morphology, like English, is a much better alternative. In addition, limitations such as low scalability to long text, the requirement of large GPU resources, or other things that inspire further investigation are welcome.

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* Extended deadline * Call for Late Breaking Results, ACM International Conference on Multimodal Interaction (ICMI2023)
by Gualtiero Volpe 06 Jul '23

06 Jul '23

*** Deadline extended to July 21st, 2023 *** ======================================================== ACM ICMI 2023 CALL FOR LATE-BREAKING RESULTS 9-13 October 2023, Paris - France https://icmi.acm.org/2023/late-breaking-results/ ======================================================== Based on the success of the LBR in the past ICMI, the ACM International Conference on Multimodal Interaction (ICMI) 2023 continues soliciting submissions for the special venue titled Late-Breaking Results (LBR). The goal of this venue is to provide a way for researchers to share emerging results at the conference. Accepted submissions will be presented in a poster session at the conference, and the extended abstract will be published in the new Adjunct Proceedings (Companion Volume) of the main ICMI Proceedings. Like similar venues at other conferences, the LBR venue is intended to allow sharing of ideas, getting formative feedback on early-stage work, and furthering collaborations among colleagues. Online Submission For online paper submissions, please click on the following link: https://new.precisionconference.com/user/login?next=https%3A//new.precision… Highlights * Submission deadline: July 21st, 2023, 23:59 PDT (GMT-7) *** EXTENDED *** * Notifications: August 13th, 2023 * Camera-ready deadline: September 3rd, 2023 * Conference Dates: October 9-13, 2023 * Submission format: Anonymized, short paper (four-page paper in a double column format, not including references), following the submission guidelines, available here: https://icmi.acm.org/2023/guidelines-for-authors/ * Selection process: Peer-Reviewed * Presentation format: Participation in the conference poster session * Proceedings: Included in Adjunct Proceedings and ACM Digital Library * LBR Co-chairs: Jean-Marc Odobez and Chi-Chun Lee What are Late-Breaking Results? Late-Breaking Work (LBR) submissions represent work such as preliminary results, provoking and current topics, novel experiences or interactions that may not have been fully validated yet, cutting edge or emerging work that is still in exploratory stages, smaller-scale studies, or in general, work that has not yet reached a level of maturity expected for the full-length main track papers. However, LBR papers are still expected to bring a contribution to the ICMI community, commensurate with the preliminary, short, and quasi-informal nature of this track. Why submit to the Late-Breaking Results track at ICMI? Accepted LBR papers will be presented as posters during the conference. This provides an opportunity for researchers to receive feedback on early-stage work, explore potential collaborations, and otherwise engage in exciting thought-provoking discussions about their work in an informal setting that is significantly less constrained than a paper presentation. The LBR (posters) track also offers those new to the ICMI community a chance to share their preliminary research as they become familiar with this field. Late-Breaking Results papers appear in the Adjunct Proceedings (Companion Volume) of the ICMI Proceedings. Copyright is retained by the authors, and the material from these papers can be used as the basis for future publications as long as there are "significant" revisions from the original, as per the ACM and ACM SIGCHI policies. Submission Guidelines Extended Abstract: An anonymized short paper, four-page paper in a double column ACM conference format, using LaTeX or Word (excluding references). Papers should follow the same guidelines as papers published in the proceedings of the ACM ICMI conference: https://icmi.acm.org/2023/guidelines-for-authors/. The paper should be submitted in PDF format and through the ICMI submission system in the “Late-Breaking Results” track. Due to the tight publication timeline, it is recommended that authors submit a very nearly finalized paper that is as close to camera-ready as possible, as there will be a very short timeframe for preparing the final camera-ready version and no deadline extensions can be granted. Anonymization: Authors are instructed not to include author information in their submission. In order to help reviewers judge the situation of the LBR to prior work, authors should not remove or anonymize references to their own prior work. Instead, we recommend that authors obscure references to their own prior work by referring to it in the third person during submission. If desired, after acceptance, such references can be changed to first-person. Review Process LBRs will be evaluated to the extent that they are presenting work still in progress, rather than complete work which is under-described in order to fit into the LBR format. The LBR track will undergo an external peer review process. Submissions will be evaluated by a number of factors including (1) the relevance of the work to ICMI, (2) the quality of the submission, and (3) the degree to which it "fits" the LBR track (e.g., in-progress results). More particularly, the quality of the submission will be evaluated based on the potential contributions of the research to the field of multimodal interfaces and its impact on the field and beyond. Authors should clearly justify how the proposed ideas can bring some measurable breakthroughs compared to the state-of-the-art of the field. Attendance Similar rules for registration and attendance will be applied for authors of LBR papers as for regular papers. Further information will be available later on and given on the main page of the website. Questions? For more information and updates on the ICMI 2023 Late-Breaking Results (LBR), visit the LBR page of the main conference website: https://icmi.acm.org/2023/late-breaking-results/. For further questions, contact the LBR co-chairs (Jean-Marc Odobez and Chi-Chun Lee) at icmi2023-late-breaking-results-chairs(a)acm.org

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NEW DEADLINE - CFP - Second Workshop on Text Simplification, Accessibility and Readability - TSAR 2023 @ RANLP
by Horacio Saggion 06 Jul '23

06 Jul '23

Second Workshop on Text Simplification, Accessibility and Readability - TSAR 2023 @ RANLP Jointly with the Recent Advances in Natural Language Processing Conference RANLP 2023 https://tsar-workshop.github.io/http://ranlp.org/ranlp2023/First Call for PapersImportant Dates Submission deadline: 10 July 2023 17/7/2023 Notification of acceptance: 5 August 2023 Camera-ready papers due: 25 August 2023 Workshop: 7 or 8 September 2023 Web provides an abundance of knowledge and information that can reach large populations. However, the way in which a text is written (vocabulary, syntax, or text organization/structure), or presented, can make it inaccessible to many people, especially to non-native speakers, people with low literacy, and people with some type of cognitive or linguistic impairments. The results of Adult Literacy Survey (OECD, 2023) indicate that approximately 16.7% of the adult population (averaged over 24 highly-developed countries) requires lexical, 50% syntactic, and 89.4% conceptual simplification of everyday texts (Štajner, 2021). Research on automatic text simplification (TS), textual accessibility, and readability thus have the potential to improve social inclusion of marginalised populations. These related research areas have increasingly attracted more and more attention in the past ten years, evidenced by the growing number of publications in NLP conferences. While only about 300 articles in Google Scholar mentioned TS in 2010, this number has increased to about 600 in 2015 and is greater than 1000 in 2020 (Štajner, 2021). Recent research in automatic text simplification has mostly focused on proposing the use of methods derived from the deep learning paradigm (Glavaš and Štajner, 2015; Paetzold and Specia, 2016; Nisioi et al., 2017; Zhang and Lapata, 2017; Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021). However, there are many important aspects of the automatic text simplification that need the attention of our community: the design of appropriate evaluation metrics, the development of context-aware simplification solutions, the creation of appropriate language resources to support research and evaluation, the deployment of simplification in real environments for real users, the study of discourse factors in text simplification, the identification of factors affecting the readability of a text, etc. To overcome those issues, there is a need for collaboration of CL/NLP researchers, machine learning and deep learning researchers, UI/UX and Accessibility professionals, as well as public organisations representatives (Štajner, 2021). The proposed TSAR workshop builds upon the recent success of several workshops that covered a subset of our topics of interest, including the SEPLN 2021 Current Trends in Text Simplification (CTTS) and the SimpleText workshop at CLEF 2021, the TSAR-2022 at EMNLP 2022, the recent Special Issue on Text Simplification, Accessibility, and Readability at Frontiers in AI, as well as the birds-of-a-feather event on Text Simplification at NAACL 2021 (over 50 participants). The TSAR workshop aims to foster collaboration among all parties interested in making information more accessible to all people. We will discuss recent trends and developments in the area of automatic text simplification, text accessibility, automatic readability assessment, language resources and evaluation for text simplification, etc. Topics We invite contributions on the following topics (among others): - Lexical simplification; - Syntactic simplification; - Modular and end-to-end TS; - Sequence-to-sequence and zero-shot TS; - Controllable TS; - Text complexity assessment; - Complex word identification and lexical complexity prediction; - Corpora, lexical resources, and benchmarks for TS; - Evaluation of TS systems; - Domain specific TS (e.g. health, legal); - Other related topics (e.g. empirical and eye-tracking studies); - Assistive technologies for improving readability and comprehension including those going beyond text. Submissions We welcome two types of papers: long papers and short papers. Submissions should be made to: https://softconf.com/ranlp23/TSAR/ The papers should present novel research. The review will be double blind and thus all submissions should be anonymized. Format: Paper submissions must use the official RANLP 2023 Templates <http://ranlp.org/ranlp2023/index.php/submissions/>, which are available as an Overleaf <https://www.overleaf.com/latex/templates/instructions-for-ranlp-2023-procee…> template and also downloadable directly (Latex <http://ranlp.org/ranlp2023/Templates/ranlp2023-LaTeX.zip> and Word <http://ranlp.org/ranlp2023/Templates/ranlp2023-word.docx>). Authors may not modify these style files or use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Long Papers: Long papers must describe substantial, original, completed, and unpublished work. Wherever appropriate, concrete evaluation and analysis should be included. Long papers may consist of up to eight (8) pages of content, plus unlimited pages of references. Final versions of long papers will be given one additional page of content (up to 9 pages), so that reviewers’ comments can be taken into account. Long papers will be presented orally or as posters as determined by the program committee. The decisions as to which papers will be presented orally and which as poster presentations will be based on the nature rather than the quality of the work. There will be no distinction in the proceedings between long papers presented orally and long papers presented as posters. Short Papers: Short paper submissions must describe original and unpublished work. Please note that a short paper is not a shortened long paper. Instead, short papers should have a point that can be made in a few pages. Some kinds of short papers include: a small, focused contribution; a negative result; an opinion piece; an interesting application nugget. Short papers may consist of up to four (4) pages of content, plus unlimited pages of references. Final versions of short papers will be given one additional page of content (up to 5 pages), so that reviewers' comments can be taken into account. Short papers will be presented orally or as posters as determined by the program committee. While short papers will be distinguished from long papers in the proceedings, there will be no distinction in the proceedings between short papers presented orally and short papers presented as posters. Demo papers: should be no more than two (2) pages, including references, and should describe implemented systems related to the topics of interest of the workshop. It also should include a link to a short screencast of the working software. In addition, authors of demo papers must be willing to present a demo of their system during TSAR 2023. -- Professor Horacio Saggion Head of the Large Scale Text Understanding Systems Lab Full Professor / Chair in Computer Science and Artificial Intelligence TALN / DTIC Deputy Director for Recruitment Universitat Pompeu Fabra [image: https://twitter.com/h_saggion] [image: https://www.linkedin.com/in/horacio-saggion-1749b916]

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Last CfP and deadline extension: Linguistic Insights from and for Multimodal Language Processing Workshop @KONVENS 2023
by Ozge Alacam 06 Jul '23

06 Jul '23

Apologies for cross-posting ------------------------------------------------------ Dear colleagues, We invite you to submit to the first edition of our workshop on "Linguistic Insights from and for Multimodal Language Processing" that will be co-located with KONVENS 2023 in Ingolstadt. The deadline is extended by a week until July 14th, 2023. We are looking forward to your contribution. Our website is available at https://sites.google.com/view/limo2023/home Please find the last CfP below. Best wishes, LIMO 2023 organizers ------------------------------------------------------ Last Call for Papers: Linguistic Insights from and for Multimodal Language Processing @KONVENS 2023 Processing multimodal information (like visual representations of the environment, auditory cues, images, gestures, gaze etc.) and integrating them is a constant and effortless process in human language processing. Recent progress in the area of language & vision, large-scale visually grounded language models, and multimodal learning have led to breakthroughs in challenging multimodal NLP applications like image–text retrieval, image captioning or visual question answering. Yet, modeling the semantics and pragmatics of situated language understanding and generation and, generally, language processing beyond the linguistic context, i.e. in combination with multiple other modalities, is still one of the biggest challenges in NLP and Computational Linguistics. While there have been recent venues and workshops targeting multimodal representation learning and large-scale Language and Vision models, there is a lack of discussion in the community that focuses on linguistic multimodal phenomena, domain- and task-specific analyses of multimodality and, generally, contributions of computational linguistics to multimodal learning and vice versa. With this workshop, we aim to bring together researchers who work on various linguistic aspects of multimodal language processing to discuss and share the recent advances in this interdisciplinary field. Topics of interest: ▪ New multimodal datasets and training schemes in text and dialogue ▪ Multimodal tasks and frameworks in CL ▪ Annotation of multimodal datasets ▪ Modeling and analysis of linguistic phenomena in multimodal datasets ▪ Analysis and discussion of shortcomings of existing multimodal language models ▪ Approaches to multimodality in different domains, e.g., documents, social media, visual dialogue, situated dialogue, etc. ▪ Work on cross-modal and inter-modal representations, relationships, and dependencies ▪ Opinion pieces and (theoretical) reflections on multimodality in NLP/Computational Linguistics Keynote Speakers --------------- Sandro Pezzelle, University of Amsterdam Letitia Parcalabescu, Heidelberg University Important Dates --------------- July 14, 2023 – Paper Submission Deadline (Extended) August 21, 2023 – Notification of Acceptance September 04, 2023 – Camera-ready Deadline September 22, 2023 – Workshop Day (one of these days) * All deadlines are 11:59 PM UTC-12:00 ("anywhere on Earth") Paper Submission: ----------------- All paper submissions must use the official KONVENS 2023 style templates. ▪ Long papers must not exceed eight (8) pages of content. ▪ Short papers and demonstration papers must not exceed four (4) pages of content. ▪ Non-archival abstracts must not exceed one (1) page. Organizers: --------------- Piush Aggarwal, FernUniversität in Hagen, piush.aggarwal(a)fernuni-hagen.de Özge Alaçam, Universität Bielefeld, oezge.alacam(a)uni-bielefeld.de Carina Silberer, Universität Stuttgart, carina.silberer(a)ims.uni-stuttgart.de Sina Zarrieß, Universität Bielefeld, sina.zarriess(a)uni-bielefeld.de Torsten Zesch, FernUniversität in Hagen, torsten.zesch(a)fernuni-hagen.de Contact: --------- Özge Alaçam (oezge.alacam(a)uni-bielefeld.de), Piush Aggarwal (piush.aggarwal(a)fernuni-hagen.de) Workshop webpage: https://sites.google.com/view/limo2023/home KONVENS 2023 webpage: https://www.thi.de/konvens-2023/

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Fwd: [OM-2023] 2nd CFP: 18th workshop on Ontology Matching collocated with ISWC
by Cassia 05 Jul '23

05 Jul '23

The 18th International Workshop on ONTOLOGY MATCHING (OM-2023) http://om2023.ontologymatching.org/ November 6th or 7th, 2023, International Semantic Web Conference (ISWC) Workshop Program, Athens, Greece BRIEF DESCRIPTION AND OBJECTIVES Ontology matching is a key interoperability enabler for the Semantic Web, as well as a useful technique in some classical data integration tasks dealing with the semantic heterogeneity problem. It takes ontologies as input and determines as output an alignment, that is, a set of correspondences between the semantically related entities of those ontologies. These correspondences can be used for various tasks, such as ontology merging, data interlinking, query answering or navigation over knowledge graphs. Thus, matching ontologies enables the knowledge and data expressed with the matched ontologies to interoperate. The workshop has three goals: 1. To bring together leaders from academia, industry and user institutions to assess how academic advances are addressing real-world requirements. The workshop will strive to improve academic awareness of industrial and final user needs, and therefore, direct research towards those needs. Simultaneously, the workshop will serve to inform industry and user representatives about existing research efforts that may meet their requirements. The workshop will also investigate how the ontology matching technology is going to evolve, especially with respect to data interlinking, knowledge graph and web table matching tasks. 2. To conduct an extensive and rigorous evaluation of ontology matching and instance matching (link discovery) approaches through the OAEI (Ontology Alignment Evaluation Initiative) 2023 campaign: http://oaei.ontologymatching.org/2023/ 3. To examine similarities and differences from other, old, new and emerging, techniques and usages, such as web table matching or knowledge embeddings. TOPICS of interest include but are not limited to: Business and use cases for matching (e.g., big, open, closed data); Requirements to matching from specific application scenarios; Formal foundations and frameworks for matching; Novel matching methods, including link prediction, ontology-based access; Matching and knowledge graphs; Matching and deep learning; Matching and embeddings; Matching and big data; Matching and linked data; Instance matching, data interlinking and relations between them; Privacy-aware matching; Process model matching; Large-scale and efficient matching techniques; Matcher selection, combination and tuning; User involvement (including both technical and organizational aspects); Explanations in matching; Social and collaborative matching; Uncertainty in matching; Expressive alignments; Reasoning with alignments; Alignment coherence and debugging; Alignment management; Matching for traditional applications (e.g., data science); Matching for emerging applications (e.g., web tables, knowledge graphs). SUBMISSIONS Contributions to the workshop can be made in terms of technical papers and posters/statements of interest addressing different issues of ontology matching as well as participating in the OAEI 2023 campaign. Long technical papers should be of max. 12 pages. Short technical papers should be of max. 6 pages. Posters/statements of interest should not exceed 3 pages. All contributions have to be prepared using the CEUR-ART, 1-column style. Overleaf page for LaTeX users is available at https://www.overleaf.com/read/gwhxnqcghhdt, while offline version with the style files is available from http://ceur-ws.org/Vol-XXX/CEURART.zip. Submissions should be uploaded in PDF format through the workshop submission site at: https://www.easychair.org/conferences/?conf=om2023 Contributors to the OAEI 2023 campaign have to follow the campaign conditions and schedule at http://oaei.ontologymatching.org/2023/. DATES FOR TECHNICAL PAPERS AND POSTERS: July 31st, 2023: Deadline for the submission of papers. August 28th, 2023: Deadline for the notification of acceptance/rejection. September 4th, 2023: Workshop camera ready copy submission. November 6th or 7th, 2023: OM-2023, M.A.I.C.C., Athens, Greece. Contributions will be refereed by the Program Committee. Accepted papers will be published in the workshop proceedings as a volume of CEUR-WS as well as indexed on DBLP. ORGANIZING COMMITTEE 1. Pavel Shvaiko (main contact) Trentino Digitale, Italy 2. Jérôme Euzenat INRIA & Univ. Grenoble Alpes, France 3. Ernesto Jiménez-Ruiz City, University of London, UK & SIRIUS, University of Oslo, Norway 4. Oktie Hassanzadeh IBM Research, USA 5. Cássia Trojahn IRIT, France PROGRAM COMMITTEE: Alsayed Algergawy, Jena University, Germany Manuel Atencia, Universidad de Málaga, Spain Jiaoyan Chen, University of Oxford, UK Jérôme David, University Grenoble Alpes & INRIA, France Gayo Diallo, University of Bordeaux, France Daniel Faria, INESC-ID&IST, University of Lisbon, Portugal Alfio Ferrara, University of Milan, Italy Marko Gulić, University of Rijeka, Croatia Wei Hu, Nanjing University, China Ryutaro Ichise, National Institute of Informatics, Japan Antoine Isaac, Vrije Universiteit Amsterdam & Europeana, Netherlands Naouel Karam, Fraunhofer, Germany Prodromos Kolyvakis, EPFL, Switzerland Patrick Lambrix, Linköpings Universitet, Sweden Oliver Lehmberg, University of Mannheim, Germany Fiona McNeill, University of Edinburgh, UK Hoa Ngo, CSIRO, Australia George Papadakis, University of Athens, Greece Catia Pesquita, University of Lisbon, Portugal Henry Rosales-Méndez, University of Chile, Chile Booma Sowkarthiga, Microsoft, USA Kavitha Srinivas, IBM, USA Giorgos Stoilos, University of Oxford, UK Valentina Tamma, University of Liverpool, UK Ludger van Elst, DFKI, Germany Xingsi Xue, Fujian University of Technology, China Ondřej Zamazal, Prague University of Economics, Czech Republic Songmao Zhang, Chinese Academy of Sciences, China Lu Zhou, TigerGraph, USA ------------------------------------------------------- More about ontology matching: http://www.ontologymatching.org/ http://book.ontologymatching.org/ ------------------------------------------------------- Best Regards, Cassia

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Deepmind Academic Fellow - School of Computer Science - 3 year Post Doc vacancy leading to open position
by Mark Lee 05 Jul '23

05 Jul '23

Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £44,414 to £52,841 with potential progression once in post to £59,450 Grade 8 Full Time, Fixed Term contract up to August 2026 Closing date: 25th July 2023 Background The School of Computer Science at the University of Birmingham, UK, seeks to recruit a talented computer scientist for the role of DeepMind Academic Fellow. The Fellowship will enable an early career researcher to pursue three years of independent postdoctoral study in the fields of Computer Science (CS), Artificial Intelligence (AI) and interdisciplinary applications of AI. This Fellowship is open to early-career researchers who have recently completed a PhD in AI, CS, Machine Learning, Statistics or another relevant field. The University of Birmingham and DeepMind recognise that Black early-career researchers are particularly under-represented in this field at this level, and strongly encourage them to apply. The Deepmind Academic Fellow is funded for three years by a generous donation from Deepmind, a leading AI research organisation committed to solving intelligence to advance science and benefit humanity. The DeepMind Academic Fellowship programme is part of DeepMind’s commitment to increase diversity in AI by improving representation from currently under-represented demographic groups in academic positions in Computer Science and Artificial Intelligence at leading institutions, and to develop role models and ambassadors who will train the next generation of researchers. The Fellowship will provide opportunities to build experience and develop an independent research profile that will support the post holder in their progression into full academic or other research leadership roles in future. The Fellow will undertake an extensive Academic Development Programme of training and development opportunities related to research, teaching and knowledge transfer with time to reflect and develop, and the University will support the Fellow’s future career by transferring the Fellow to an open-ended Assistant Professor position (subject to meeting probationary criteria) following the initial three-year term. Summary of Role The Deepmind Academic Fellowship is an independent academic position and the Fellow will be expected to develop their own independent programme of research and outreach activities. The Fellow’s research will not be directed or influenced by DeepMind, but where research directions are aligned, DeepMind welcomes the opportunity to cooperate and collaborate with the Fellow. The Fellow will be invited to seminars and talks organised by DeepMind, and will be provided with opportunities for mentoring from both DeepMind researchers and academic staff at the University of Birmingham. Following the initial three-year period funded by Deepmind, the Fellow will be supported in transitioning into an open-ended Assistant Professor position (subject to meeting probationary criteria) which will include a full range of academic duties as part of a well-defined academic career framework. Informal enquires to Aad van Moorsel, email: a.vanmoorsel(a)bham.ac.uk<mailto:a.vanmoorsel@bham.ac.uk> Valuing excellence, sustaining investment We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working. To apply use https://edzz.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_6… With best regards, Mark Lee Professor of Artificial Intelligence School of Computer Science University of Birmingham www.cs.bham.ac.uk/~mgl<http://www.cs.bham.ac.uk/~mgl>

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Position available in Vicomtech - NLP researcher
by Montse Cuadros 05 Jul '23

05 Jul '23

**** We apologize for the multiple copies of this email **** *Vicomtech *(www.vicomtech.org) is a privately owned Applied Research Center specialized in Computer Graphics, Visual Computing, Interaction, Communications and Multimedia, located in *Donostia - San Sebastian* and *Bilbao *(Spain). With 6 technical departments and more than 200 researchers -including more than 70 PhDs- and more than 70 scientific publications per year, Vicomtech promotes the use of the latest state-of-the-art technologies in applications that support the innovation cycle in the companies and institutions of our environment, including those of the health and biotechnology sectors. With a strong focus on applied research on industrial problems, approximately 40% of the center's activity is carried out under contract, 24% in European projects -such as Horizon Europe- and 36% from national and local grants, mostly obtained from competitive calls. We are looking for a researcher with expertise in Natural Language Processing (NLP), and at the same time motivated by the transfer of this knowledge to companies and institutions through advanced research prototypes developed to solve real needs. The successful candidate will be part of the Department of Speech and Natural Language Technologies, participating in research projects at regional, national and European level and developing and applying technology for information retrieval, named entity detection, text classification, question-answering systems, automatic summarization and natural language understanding, mainly. *Applicants must have:* - Master's degree in Natural Language Processing or equivalent. - Good programming skills in Python. - Knowledge of Machine Learning, Deep Learning and Data Analytics. - Experience in using PLN technologies in real use cases. - Good spoken and written level of Spanish and English - Motivation to acquire knowledge and new technical skills on an ongoing basis - Interest in scientific research - Proactive attitude and ability to work as a team player *We value those candidates have:* - PhD in the field of PLN or similar. - Scientific articles published in conferences and/or journals in the field. - Knowledge of generative AI with large language models or LLMs - Experience with Machine Learning tools (Numpy, Scipy, ...) and NLP (Spacy, Fastext, Flair, ...) - Knowledge and experience in Deep Learning environments (Pytorch, Tensorflow, Transformers and Hugging face). - Linux development environments, GIT, Docker and web environments (Restful APIs, ...) *We offer:* - Joining a dynamic, innovative and leading Center in the field of Artificial Intelligence and Visual Computing & Interaction at international level with work centers in Donostia and Bilbao. - Multidisciplinary work team. - Creative freedom to conduct research aligned with the Center's management procedures. - Personal development through training and educational opportunities. - Career opportunities and professional progression. - Work-life balance policies to achieve a balance between work and family life. - Equal employment opportunities. *If you feel identified with us, please send us your CV.* -- [image: Vicomtech] <https://www.vicomtech.org> Dr. Montserrat Cuadros Oller Senior Researcher Speech and Natural Language Technologies mcuadros(a)vicomtech.org +(34) 943 30 92 30 The information contained in this electronic message is intended only for the personal and confidential use of the recipients. If you have received this e-mail by mistake, please, notify us and delete it. Avoid printing this message if it is not strictly necessary.

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[CfP] DBpedia Tutorial @ LDK conference on Sept 13
by Milan Dojchinovski & Julia Holze 05 Jul '23

05 Jul '23

Dear all, We are proud to announce that we will organize a tutorial at the Language, Data and Knowledge (LDK) conference on September 13, 2023 at 9am CEST. Over the past year, the DBpedia core team has consolidated a large amount of technology around DBpedia. This tutorial is targeted for developers (in particular of DBpedia Chapters) that wish to learn how to use the core DBpedia technology and in particular the DBpedia Knowledge Graph and the DBpedia Databus publishing platform. # Highlights It will cover the following topics: * DBpedia Knowledge Graph in the Nutshell * How to use the DBpedia Databus publishing platform * How to deploy local instance of the DBpedia Databus * … with many real-world practical use cases around these technologies # Quick Facts * Web URL: https://www.dbpedia.org/events/dbpedia-tutorial-at-ldk-2023/ <https://www.dbpedia.org/events/dbpedia-tutorial-at-ldk-2023/> * When: September 13, 2023 at 9:00-13:00 CEST * Where: The tutorial will be organized onsite but stream will also be provided. Registration is required though. Please register here to be part of the meeting: http://2023.ldk-conf.org/registration/ <http://2023.ldk-conf.org/registration/> * Databus: https://databus.dbpedia.org/ <https://databus.dbpedia.org/> # Registration * Attending the DBpedia Stack tutorial is free. Registration is required though. After the registration for the event, you will receive an email with more instructions. Please register here to be part of the meeting: http://2023.ldk-conf.org/registration/ <http://2023.ldk-conf.org/registration/> * _Please keep in mind that registration closes on the 10th of July 2023._ # Organisation * Milan Dojčinovski, InfAI, DBpedia Association, CTU * Jan Forberg, InfAI, DBpedia Association * Julia Holze, InfAI, DBpedia Association * Sebastian Hellmann, InfAI, DBpedia Association We are looking forward to meeting you! Kind regards, Milan & Julia on behalf of the DBpedia Association

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Fully-funded 3-years PhD position on information extraction for scholarly documents
by Florian Boudin 04 Jul '23

04 Jul '23

Fully-funded 3-years PhD position on information extraction for scholarly documents Keywords: Information Retrieval, Natural Language Processing Funded by the French National Centre for Scientific Research (CNRS) through the NaviTerm project. Salary is approx. 1700€ per month. Funds are secured for travels to international conferences. Location : Nantes, France Starting date is flexible, starting from 2023-09-01. Profile: a university degree (MSc) in Computer Science is required, with solid experience in deep learning. Interests in Natural Language Processing, information retrieval or artificial intelligence are a definite plus. Strong programming skills (Python) and excellent English skills are expected. Fluency in French is not required for admissions. PhD's research topic: this PhD falls within the context of scientific digital libraries (e.g. arXiv, Pubmed) and will focus on developing new terminological extraction models to simplify and ease the access to scientific knowledge. More specifically, the task will be to develop automated methods for extracting and structuring key terms from a collection of scientific articles which, combined with a faceted-search engine, will offer researchers a simple and rapid means of building exertise in a new field of research. Please send applications including motivation, curriculum vitae and certificates to Florian Boudin and/or Richard Dufour and/or Béatrice Daille by email via florian.boudin(a)univ-nantes.fr and/or richard.dufour(a)univ-nantes.fr and/or beatrice.daille(a)univ-nantes.fr. If your application is accepted, you will be offered an audition.

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