July 2023 - Corpora - ELRA lists

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for Computational Linguistics (EACL 2024) invites the submission of long and short papers on substantial, original, and unpublished research on Natural Language Processing.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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