- Corpora - ELRA lists

Post-doc position in Multi-Dimensional Analysis
by Tony Berber-Sardinha 27 Mar '23

27 Mar '23

The Graduate Program in Applied Linguistics and Language Studies (LAEL) at the Pontifical Catholic University of Sao Paulo (PUCSP), Brazil, invites applications for a post-doctoral position in Multi-Dimensional Analysis. This position is part of a large international research project funded by FAPESP (Sao Paulo State Research Foundation), grant #2022/05848-7. The successful candidate will contribute to one or more major goals of the project, which include developing and improving innovative methodologies and resources for MD Analysis, describing register variation in diverse languages and domains using MD Analysis, and identifying discourse related to socially relevant issues in the contemporary world using MD Analysis. Candidates must possess a background in MD Analysis, statistical analysis, and computer programming. Additionally, proficiency in English is mandatory. The successful candidate may be required to supervise graduate students. A full-time commitment of 40 hours per week is expected. This is a temporary post-doctoral position for 24 months, and the stipend is BRL 8,479.20 per month. Please note that this position does not entail employment at PUCSP. Applications will be accepted until May 31, 2023, and should be submitted using the online form at https://www.jotform.com/build/230804143618956. Applications received through this form only will be considered. --- PONTIFÍCIA UNIVERSIDADE CATÓLICA DE SÃO PAULO -- PUC-SP PROGRAMA DE ESTUDOS PÓS-GRADUADOS EM LINGUÍSTICA APLICADA E ESTUDOS DA LINGUAGEM (LAEL) *** LAEL 53 ANOS *** (ele/o) Tony Berber Sardinha Vice-coordenador PPG em LAEL Coordenador CEPRIL Rua Monte Alegre 984, sala 4B02, São Paulo, SP 05014-901 Brazil Tel.: (11) 3670-8374 E-mail: tony(a)pucsp.br | www2.lael.pucsp.br --- Cláusula de Confidencialidade Esta mensagem é reservada e sua divulgação, distribuição, reprodução ou qualquer forma de uso é proibida e depende de prévia autorização desta instituição. O remetente utiliza o correio eletrônico no exercício do seu trabalho ou em razão dele, eximindo esta instituição de qualquer responsabilidade por utilização indevida. Se você recebeu esta mensagem por engano, favor eliminá-la imediatamente. This message is reserved and its disclosure, distribution, reproduction or any other form of use is prohibited and shall depend upon previous proper authorization. The sender uses the electronic mail in the exercise of his/her work or by virtue thereof, and the institution accepts no liability for its undue use. If you have received this e-mail by mistake, please delete it immediately.

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Phd Position in applied AI / NLP / HMI at the University of Applied Sciences in Augsburg
by Alessandra Zarcone 27 Mar '23

27 Mar '23

1 PhD Position in applied AI / NLP / HMI at the Technische Hochschule Augsburg We invite applications for a fully funded PhD position at the University of Applied Sciences in Augsburg ("Hochschule Augsburg", recently "Technische Hochschule Augsburg", 100%, TV-L E13) in the field of applied AI / data-centered AI / uman-centered AI / applied NLP / human-machine interaction. The position is initially funded for one year as an orientation phase but an extension is possible and expected once the topic of the PhD has been decided. The University of Applied Sciences is an important center fueling innovation in the region and offers plenty of opportunities to collaborate with local companies to integrate the latest technologies in real use cases. We are committed to a collegial and family-friendly work environment and flexible working hours. You can find the call here: https://karriere.hs-augsburg.de/Wissenschaftlicher-Mitarbeiterin-mwd-mit-Pr… I am happy to answer questions about the position (a.zarcone(a)gmail.com or Alessandra.Zarcone(a)hs-augsburg.de). Best Alessandra

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11 PhD Positions in NLP to combat desinformation and abusive language - MSCA Doctoral Network HYBRIDS
by Pablo Gamallo 27 Mar '23

27 Mar '23

* 11 PhD Positions in NLP to combat desinformation and abusive language - MSCA Doctoral Network HYBRIDS Join call: https://euraxess.ec.europa.eu/jobs/78878 Web: https://hybridsproject.eu/phd-projects/ The main scientific objective of HYBRIDS is to provide researchers with the knowledge necessary to design strategies and tools to respond to disinformation on the basis of a deep analysis of public discourse. There have been interesting advances in the automatic detection of disinformation by making use of natural language processing and new artificial intelligence techniques in the specific field of machine and deep learning. However, this is a very complex task that requires a high degree of natural language understanding, inference and reasoning. To improve the strategies to deal with disinformation and abusive language, HYBRIDS will integrate the structured knowledge provided by social and human sciences into natural language processing tools and deep learning algorithms, so as to develop new hybrid intelligence systems. The concept of Hybrid Intelligence consists of combining machine and human intelligence to overcome the shortcomings of existing artificial intelligence methods. The HYBRIDS Consortium is coordinated by the University of Santiago de Compostela and involves the following partner universities, research centres, non-profit organisations, and companies: University of Caen (UCAEN, France), University of Coruña (UDC, Spain), University of Evora (UEVORA, Portugal), Radboud University (RU, the Netherlands), Queen Mary University of London (QMUL, UK), Consejo Superior de Investigaciones Cientificas (CSIC, Spain), Fondazione Bruno Kessler (FBK, Italy), Gesis Leibniz Institute for Social Sciences (GESIS, Germany), Fondazione Openpolis ETS (OPENPOLIS, Italy), Fundación Universidad Empresa Gallega (FUEGA, Spain), Factoria de software e multimedia S.L. (IMAXIN, Spain), Industrieanlagen Betriebsgesellschaft MBH (IABG, Germany), and Newtral Media Audiovisual SL (NEWTRAL, Spain). The 11 doctoral candidates will be contracted by one of the partner institutions through which they will be enrolled in a doctoral programme. Each candidate will participate in secondments with other academic and non-academic partners and will be involved in network-wide training activities. ~

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Deadline Extension @ Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023)
by Fahad Khan 26 Mar '23

26 Mar '23

Due to several requests for an extension to the submission deadline we have decided to change the date of submissions for for the Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023) to the 31st of March Dates: 12–13 September 2023 (Workshops/Tutorials), 14–15 September 2023 (Main Conference) Location: Vienna, Austria Website: http://2023.ldk-conf.org Submission Deadline: 31 March 2023 (revised, was previously 27 March 2023) Submission page: https://openreview.net/group?id=LDK/2023/Conference ============== We invite submissions to the fourth biennial conference on Language, Data and Knowledge (LDK 2023) to be held in Vienna, Austria in September 2023. This conference aims to bring together researchers from across different disciplines concerned with the acquisition, treatment, curation and use of language data in the context of data science and knowledge-based applications. This edition builds upon the success of the inaugural event held in Galway, Ireland in 2017, the second LDK in Leipzig, Germany in 2019, and the third LDK in Zaragoza, Spain in 2021. Invited speakers We are happy to announce Diana Maynard (University of Sheffield), Ruben Verborgh (Ghent University), and Ruth Wodak (Lancaster University/University of Vienna), as keynote speakers for LDK 2023. Paper submission We welcome submissions of relevance to the topics listed below. Submissions can be in the form of: Long papers: 9–12 pages; Short papers: 4–6 pages. All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates should therefore be used for all conference submissions. As the reviewing process is single-blind, submissions should not be anonymised. Papers should be submitted via OpenReview at the following address: https://openreview.net/group?id=LDK/2023/Conference All articles must represent original work: when submitted, the submission must not have been previously published*, and the material in it must not have been/be submitted for review at another journal or conference while under review at LDK 2023. *This excludes papers on preprint archives, such as arXiv, which we do not consider to have been previously published. The conference will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the conference (either remotely or on-site). There will be no registration fee administered for participating in LDK 2023. Presentation format Accepted submissions will be selected for oral or poster presentation based on recommendations from the reviewers. This decision will not reflect any difference in the quality of the papers, and there will be no distinction between oral and poster presentations in the published proceedings. Authors of accepted short papers or posters are welcome to present their work as a demo in addition to the regular presentation. Topics Relevant topics for the conference include, but are not limited to, the following fields: Language Data Language data construction and acquisition Language data annotation FAIR data practices for language data Language data portals and metadata about language data Organisational and infrastructural management of language data Multilingual, multimedia and multimodal language data Evaluation, provenance and quality of language data Visualisation of language data Standards and interoperability of language data Legal aspects of publishing language data Under-resourced languages e-Lexicography Semantic processing Knowledge Graphs Linguistic linked data and the multilingual semantic web Ontologies, terminologies, wordnets, framenets and related resources Information and knowledge extraction (taxonomy extraction, ontology learning) Data, information and knowledge integration across languages (cross-lingual) ontology alignment Entity linking and relatedness Linked data profiling 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 NLP for language documentation and preservation Speech recognition and synthesis Spoken language processing Semantic content management Computer-aided language learning Natural language interfaces to big data Knowledge-based NLP Deep learning and machine learning for and on LLOD Other applications Use Cases in Language, Data and Knowledge Contributions are welcome where the topics above - and others within the scope of Language, Data and Knowledge - are applied to domain-specific use cases, including but not limited to: social sciences and humanities, legal, life sciences, FinTech, cybersecurity. Organising committee Conference Chairs Jorge Gracia – University of Zaragoza John P. McCrae – University of Galway Program Chairs: Sara Carvalho – University of Aveiro | NOVA CLUNL Anas Fahad Khan – Institute for Computational Linguistics “A. Zampolli” Workshop and Tutorial Chairs: Ana Ostroški Anić – Institute of Croatian Language and Linguistics Blerina Spahiu – University of Milano-Bicocca Local Organisers: Dagmar Gromann – University of Vienna Barbara Heinisch – University of Vienna Proceedings Chair: Ana Salgado – NOVA CLUNL | Lisbon Academy of Sciences Important Dates (Revised) 31 March 2023 New paper submission deadline 5 May 2023 Notification 2 June 2023 Camera-ready submission deadline 12–13 September 2023 Pre-conference events 14–15 September 2023 Main conference All deadlines refer to anywhere-on-earth time. Program Committee http://2023.ldk-conf.org/program-committee/ Workshops and tutorials You can check the list of accepted workshops and tutorials at http://2023.ldk-conf.org/workshops-tutorials/

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Final call for papers: Explainable AI in Natural Language Processing
by Somnath Banerjee 25 Mar '23

25 Mar '23

Dear Colleagues, *** Apologies for cross-posting *** Call for papers: Explainable AI in Natural Language Processing Traditional Natural Language Processing (NLP) models (e.g., decision trees, Markov models, etc.) have primarily been based on techniques that are inherently interpretable models, referred to as white-box techniques. However, in recent years, NLP models have employed advanced neural approaches along with language embedding features. Using these advanced approaches, mostly referred to as black-box techniques, the NLP models have yielded state-of-art performance. Nonetheless, the level of interpretability (e.g., how the model arrives at its results) has reduced significantly. This obfuscated interpretability not only lowers the end users’ trust in the NLP models but also makes it challenging for the developers to debug or improve by analyzing the models for further improvement. Therefore, nowadays, researchers in the NLP community are giving significant attention to the emerging field called Explainable AI (XAI) to tackle the obfuscated complexity of AI systems for trust and improvement. Apart from academia, organizations and companies also have launched high-funding projects such as DARPA XAI, People +AI Research (PAIR), etc. As XAI is still a growing field, there is plenty of room for innovation to improve the explainability of NLP systems. In recent works, explainable NLP models have captured linguistic knowledge of neural networks, explain predictions, stress-test models via challenge sets or adversarial examples, and interpret language embeddings. The goal of this Research Topic is to better understand the present status of the XAI in NLP by identifying: new dimensions for a better explanation, evaluation techniques used to measure the quality of explanations, approaches or developments of new software toolkits to explain XAI in NLP, and transparent deep learning models for different NLP task. The scope of this Research Topic covers (but is not restricted to) the following topics: • Survey of XAI in NLP in general or any particular NLP task such as NER, QA, Sentiment analysis, social media (SocialNLP), etc. • Explainable Neural models in Machine Translation • Explainable Neural models in Named Entity Recognition • Explainable Neural models in Question Answering • Explainable Neural models in Sentiment Analysis • Explainable Neural models in Opinion Mining • Explainable Neural models in SocialNLP • Evaluation techniques used to measure the quality of explanations • Tools for explaining explainability • Resources related to XAI in the context of NLP The Research Topic welcomes contributions toward interpretable models for efficient solutions to NLP research problems that explain the explainability of the proposed model using suitable explainability technique(s) (e.g., example-driven, provenance, feature importance, induction, surrogate models, etc.), visualization technique(s) (e.g., raw examples, saliency, raw declarative, etc.), and other aspects. Software toolkits or approaches that can help users express explainability to their models and ML pipelines are also welcome. The full Call for Papers is available at https://www.frontiersin.org/research-topics/48440/explainable-ai-in-natural… Impact of the publication: https://www.frontiersin.org/about/impact * Manuscript Deadline: * 19 May 2023, This is a mandatory deadline for your full manuscript submission. Guest Editors: Somnath Banerjee (University of Tartu, somnath.banerjee(a)ut.ee) David Tomás (University of Alicante, dtomas(a)dlsi.ua.es) Somnath Banerjee Lecturer, Institute of Computer Science, University of Tartu, Narva mnt 18, 51009 Tartu, ESTONIA webpage: http://www.ut.ee//~somnath/

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Call for Participation: LxMLS 2023 - 13th Lisbon Machine Learning School
by fernando.batista＠iscte-iul.pt 25 Mar '23

25 Mar '23

============================================================== Call for Participation LxMLS 2023 - 13th Lisbon Machine Learning School ============================================================== We invite everyone interested in Machine Learning and Natural Language Processing to attend the 13th Lisbon Machine Learning School - LxMLS 2023. Important Dates --------------- * Application Deadline: April 28, 2023 * Notification of Admission: May 12, 2023 * Early registration: May 12 - June 30, 2023 * Summer School: July 14 - 20, 2023 Topics and Intended Audience --------------- The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data. Our target audience is: * Researchers and graduate students in the fields of NLP and Computational Linguistics; * Computer scientists who have interests in statistics and machine learning; * Industry practitioners who desire a more in depth understanding of these subjects. Features of LxMLS: * No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming; * Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule); * The Labs guide will be provided one month in advance. Last year's guide is available on the website. * The first day is scheduled to review basic concepts and introduce the necessary tools for implementation exercises * Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning and transformers) will be covered * Welcome reception, Banquet, daily lunch as well as morning and afternoon coffee breaks are included in the application fee * Lecturers are leading researchers in machine learning and natural language processing List of Confirmed Speakers --------------- ADÈLE H. RIBEIRO Columbia University | USA ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal BHIKSHA RAJ Carnegie Mellon University | USA DESMOND ELLIOTT University Of Copenhagen | Denmark KYUNGHYUN CHO New York University | USA MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA SARA HOOKER Cohere for AI | Canada SLAV PETROV Google Inc. | USA WILKER AZIZ University Of Amsterdam | Netherlands YEJIN CHOI University of Washington | USA Please visit our webpage for up-to-date information: http://lxmls.it.pt/2023/ Apply here: https://lisbonmls.wufoo.com/forms/application-form-lxmls-2023/ Any questions should be directed to: lxmls-2023(a)lx.it.pt We are looking forward to your participation! -- The organizers of LxMLS'2023.

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Call for Participation: LxMLS 2023 - 13th Lisbon Machine Learning School
by Fernando Batista 25 Mar '23

25 Mar '23

============================================================== Call for Participation LxMLS 2023 - 13th Lisbon Machine Learning School ============================================================== We invite everyone interested in Machine Learning and Natural Language Processing to attend the 13th Lisbon Machine Learning School - LxMLS 2023. Important Dates --------------- * Application Deadline: April 28, 2023 * Notification of Admission: May 12, 2023 * Early registration: May 12 - June 30, 2023 * Summer School: July 14 - 20, 2023 Topics and Intended Audience --------------- The school will cover a range of Machine Learning (ML) topics, from theory to practice, that are important in solving Natural Language Processing (NLP) problems that arise in the analysis and use of Web data. Our target audience is: * Researchers and graduate students in the fields of NLP and Computational Linguistics; * Computer scientists who have interests in statistics and machine learning; * Industry practitioners who desire a more in depth understanding of these subjects. Features of LxMLS: * No deep previous knowledge of ML or NLP is required, but the attendants are assumed to have some basic background on mathematics and programming; * Days are divided into morning lectures and afternoon lab sessions and practical talks (see schedule); * The Labs guide will be provided one month in advance. Last year's guide is available on the website. * The first day is scheduled to review basic concepts and introduce the necessary tools for implementation exercises * Both basic (e.g linear classifiers) and advanced topics (e.g. deep learning and transformers) will be covered * Welcome reception, Banquet, daily lunch as well as morning and afternoon coffee breaks are included in the application fee * Lecturers are leading researchers in machine learning and natural language processing List of Confirmed Speakers --------------- ADÈLE H. RIBEIRO Columbia University | USA ANDRÉ MARTINS University of Lisbon & Unbabel | Portugal BHIKSHA RAJ Carnegie Mellon University | USA DESMOND ELLIOTT University Of Copenhagen | Denmark KYUNGHYUN CHO New York University | USA MÁRIO FIGUEIREDO University of Lisbon & Instituto de Telecomunicações | Portugal NOAH SMITH University of Washington & Allen Institute for Artificial Intelligence | USA SARA HOOKER Cohere for AI | Canada SLAV PETROV Google Inc. | USA WILKER AZIZ University Of Amsterdam | Netherlands YEJIN CHOI University of Washington | USA Please visit our webpage for up-to-date information: http://lxmls.it.pt/2023/ Apply here: https://lisbonmls.wufoo.com/forms/application-form-lxmls-2023/ Any questions should be directed to: lxmls-2023(a)lx.it.pt We are looking forward to your participation! -- The organizers of LxMLS'2023.

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New release: inscriptions added to the Latin WoPoss corpus for investigating modality
by DELL'ORO Francesca 25 Mar '23

25 Mar '23

Dear All, We are very happy to announce a new release of the WoPoss corpus containing a selection of Latin inscriptions of the Republican age, annotated with regards to modality according to the WoPoss guidelines, along with the adding of about 90 entries to the Epigraphic Database Rome (EDR). The annotated inscriptions are accessible here: https://woposs.unine.ch/search.html. A complete list of the available inscriptions can be found here: https://woposs.unine.ch/corpus.html. This achievement was made possible thanks to a bursary of the IDEA/EAGLE association and a close co-operation between the teams of the EDR project and of the WoPoss project (funded by the Swiss National Science Foundation). Francesca Dell’Oro on behalf of the WoPoss team https://woposs.unine.ch/ [cid:clip_image001.png][cid:clip_image002.png]

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[CfP] LangArc-2023: 2nd international workshop on digital language archives
by Hugh Paterson III 25 Mar '23

25 Mar '23

Greetings, The 2nd International Workshop on Digital Language Archives (LangArc 2023) virtual workshop on digital language archives – digital libraries that preserve, curate, and provide online access to language data – continues (after the initial LangArc 2021 workshop) addressing the growing need. LangArc 2023 will explore a broad scope of issues related to digital language archives. This includes challenges and opportunities, strategies and solutions for: facilitating depositing and improving access; information organization, architecture, and retrieval; quality assurance; usability; ethical issues; ways of encouraging reuse of deposited data in research and education; and coursework and other training for information professionals that will develop and maintain digital language archives. This workshop is expected to support interdisciplinary collaboration among information professionals, linguists, educators, representatives of language communities (including indigenous and other underrepresented), students, and other interested audiences. See full call here: https://easychair.org/cfp/LangArc2023 Important dates: May 14, 2023 AOE: deadline for submission of short papers (1500-2000 words) May 30, 2023 AOE: notification of acceptance and reviewers' feedback returned to authors of submission June 14, 2023 AOE: deadline for submission of the final version of accepted short paper (revised based on reviewers' feedback) June 25, 2023: registration deadline for authors of accepted submissions (at least one author must be registered for JCDL 2023 conference at https://2023.jcdl.org/registration/) June 26-30, 2023: JCDL 2023 main conference June 30, 2023: workshop date Kind Regards, Hugh Paterson III

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NLP4CALL 2023 Third call for papers
by David Alfter 24 Mar '23

24 Mar '23

NEW: Results of the Shared task on grammatical error detection are out! == 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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