January 2023 - Corpora

PhD position at Innsbruck University
by Laura Giacomini 25 Jan '23

25 Jan '23

Dear Colleagues I am writing to advertise a new PhD position in Translation Studies and Lexicography at Innsbruck University. All details (German and English) and the link for applying are at https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=13221 Kind regards, Laura Giacomini -- Univ.-Prof. Dr. Laura Giacomini Institut für Translationswissenschaft Herzog-Siegmund-Ufer 15 A-6020 Innsbruck

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NLP Special Issue - Last call for papers
by Florentina Hristea 25 Jan '23

25 Jan '23

Special Issue: Current Trends in Natural Language Processing (NLP) and Human Language Technology (HLT) MATHEMATICS NEW IMPACT FACTOR 2.592 An Open Access Journal by MDPI link: https://www.mdpi.com/journal/mathematics Guest Editor: * Florentina Hristea, University of Bucharest Deadline for manuscript submissions: April 23, 2023 Accepted papers are published continuously in the journal (as soon as accepted). Message from the Guest Editor and Special Issue Web page: https://www.mdpi.com/si/mathematics/NLP_HLT A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors<https://www.mdpi.com/journal/mathematics/instructions> page. For further information and questions, please contact: Florentina Hristea University of Bucharest fhristea(a)fmi.unibuc.ro https://cs.unibuc.ro/~fhristea/

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First CfP: Workshop on RESOURCEs and representations For Under-resourced Languages and domains (RESOURCEFUL-2023)
by Simon Dobnik 25 Jan '23

25 Jan '23

[apologies for x-posting] Call for Papers and Extended Abstracts Workshop on RESOURCEs and representations For Under-resourced Languages and domains (RESOURCEFUL-2023) collocated with the 24th Nordic Conference on Computational Linguistics (NoDaLiDa) Norðurlandahúsið - The Nordic House in Tórshavn, Faroe Islands 22nd May 2023 https://resourceful-workshop.github.io/resourceful-2023/ Important dates: - Submission deadline (both papers and abstracts): 28th March 2023 - Notification of acceptance: 25th April 2023 - Camera-ready version: 9th May 2023 - Workshop date: 22nd May 2023 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). Workshop description The second workshop on resources and representations for under-resourced language and domains (RESOURCEFUL-2023) explores the role of the kind and the quality of resources that are available to us and challenges and directions for constructing new resources in light of the latest trends in natural language processing. Data-driven machine-learning techniques in natural language processing have achieved remarkable performance (e.g., BERT, GPT, ChatGPT) but in order to do so large quantities of quality data (which is mostly text) is required. Interpretability studies of large language models in both text-only and multi-modal setups have revealed that even in cases where large text datasets are available, the models still do not cover all the contexts of human social activity and are prone to capturing unwanted bias where data is focused towards only some contexts. A question has also been raised whether textual data is enough to capture semantics of natural language processing and other modalities such as visual representations or a situated context of a robot might be required. Annotator-based resources have been constructed over years based on theoretical work in linguistics, psychology and related fields and a large amount of work has been done both theoretically and practically. The purpose of the workshop is to initiate a discussion between the two communities involved in building resources (data vs annotation-based) and exploring their synergies for the new challenges in natural language processing. We encourage contributions in the areas of resource creation, representation learning and interpretability in data-driven and expert-driven machine learning setups and both uni-modal and multi-modal scenarios. In particular we would like to open a forum by bringing together students, researchers, and experts to address and discuss the following questions: - What is relevant linguistic knowledge the models should capture and how can this knowledge be sampled and extracted in practice? - What kind of linguistic knowledge do we want and can capture in different contexts and tasks? - To what degree are resources that have been traditionally aimed at rule-based natural language processing approaches relevant today both for machine learning techniques and hybrid approaches? - How can they be adapted for data-driven approaches? - To what degree data-driven approaches can be used to facilitate expert-driven annotation? - What are current challenges for expert-based annotation? - How can crowd-sourcing and citizen science be used in building resources? - How can we evaluate and reduce unwanted biases? Intended participants are researchers, PhD students and practitioners from diverse backgrounds (linguistics, psychology, computational linguistics, speech, computer science, machine learning, computer vision etc). We foresee an interactive workshop with plenty of time for discussion, complemented with invited talks and presentations of on-going or completed research. This workshop is a continuation of the first workshop on resources and representations for under-resourced languages and domains held together with the SLTC 2020, https://gu-clasp.github.io/resourceful-2020/. Submission We invite submissions of both long (8 pages) and short papers (4 pages) with any number of pages for references. All submissions must follow the NoDaLida template, available in both LaTeX and MS Word, the templates are available at the official conference website, https://www.nodalida2023.fo/authorkit-nodalida23 Submissions must be anonymous and submitted in the PDF format through OpenReview. We also invite submissions of maximum 2-page extended non-anonymous abstracts with any number of pages for references describing work in progress, negative results and opinion pieces. Papers related to our theme and already presented at other venues or have already been published elsewhere will be considered for acceptance for presentation as well. The abstracts, which should follow the same formatting templates as the archival track, will be reviewed by the workshop organisers and the accepted ones will be posted on the workshop website. Workshop organisers Dana Dannélls, Språkbanken Text, University of Gothenburg Simon Dobnik, CLASP, University of Gothenburg Adam Ek, CLASP, University of Gothenburg Stella Frank, University of Copenhagen Nikolai Ilinykh, CLASP, University of Gothenburg Beáta Megyesi, Uppsala University Felix Morger, Språkbanken Text, University of Gothenburg Joakim Nivre, RISE and Uppsala University Magnus Sahlgren, AI Sweden Sara Stymne, Uppsala University Jörg Tiedemann, University of Helsinki Lilja Øvrelid, University of Oslo resourceful-2023(a)listserv.gu.se

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Second CfP: 19th Workshop on Multiword Expressions (MWE 2023) @EACL2023
by Kilian Evang 25 Jan '23

25 Jan '23

******************************************************************************** Second Call for Papers 19th Workshop on Multiword Expressions (MWE 2023) Organized and sponsored by SIGLEX, the Special Interest Group on the Lexicon of the ACL Full-day workshop collocated with EACL 2023, Dubrovnik, Croatia, May 2 or 6, 2023 Hybrid (on-site & on-line) Submission deadline: February 13, 2023 NEW: ARR commitment deadline: March 6, 2023 NEW: Special track on MWEs in Clinical NLP (see below) NEW: Best paper award (see below) MWE 2023 website: https://multiword.org/mwe2023/ ******************************************************************************** Multiword expressions (MWEs) are word combinations that exhibit lexical, syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin & Kim 2010), such as by and large, hot dog, pay a visit and pull one's leg. The notion encompasses closely related phenomena: idioms, compounds, light-verb constructions, phrasal verbs, rhetorical figures, collocations, institutionalised phrases, etc. Their behaviour is often unpredictable; for example, their meaning often does not result from the direct combination of the meanings of their parts. Given their irregular nature, MWEs often pose complex problems in linguistic modelling (e.g. annotation), NLP tasks (e.g. parsing), and end-user applications (e.g. natural language understanding and MT), hence still representing an open issue for computational linguistics (Constant et al. 2017). For almost two decades, modelling and processing MWEs for NLP has been the topic of the MWE workshop organised by the MWE section of SIGLEX in conjunction with major NLP conferences since 2003. Impressive progress has been made in the field, but our understanding of MWEs still requires much research considering their need and usefulness in NLP applications. This is also relevant to domain-specific NLP pipelines that need to tackle terminologies most often realised as MWEs. Following previous years, for this 19th edition of the workshop, we identified the following topics on which contributions are particularly encouraged: MWE processing and identification in specialized languages and domains: Multiword terminology extraction from domain-specific corpora (Bonin et al. 2010) is of particular importance to various applications, such as MT (Semmar & Laib, 2017), or for the identification and monitoring of neologisms and technical jargon (Chatzitheodorou et al, 2021). We expect approaches that deal with the processing of MWEs as well as the processing of terminology in specialised domains can benefit from each other. MWE processing to enhance end-user applications: MWEs have gained particular attention in end-user applications, including MT (Zaninello & Birch 2020; Han et al. 2021), simplification (Kochmar et al. 2020), language learning and assessment (Paquot et al. 2019; Christiansen & Arnon 2017), social media mining (Maisto et al 2017), and abusive language detection (Zampieri et al. 2020; Caselli et al. 2020). We believe that it is crucial to extend and deepen these first attempts to integrate and evaluate MWE technology in these and further end-user applications. MWE identification and interpretation in pre-trained language models: Most current MWE processing is limited to their identification and detection using pre-trained language models, but we still lack understanding about how MWEs are represented and dealt with therein (Nedumpozhimana & Kelleher 2021; Garcia et al. 2021, Fakharian & Cook 2021), how to better model the compositionality of MWEs from semantics (Moreau et al. 2018) Now that NLP has shifted towards end-to-end neural models like BERT, capable of solving complex tasks with little or no intermediary linguistic symbols, questions arise about the extent to which MWEs should be implicitly or explicitly modelled (Shwartz & Dagan, 2019). MWE processing in low-resource languages: The PARSEME shared tasks (Ramisch et al. 2020; 2018; Savary et al. 2017), among others, have fostered significant progress in MWE identification, providing datasets that include low-resource languages, evaluation measures, and tools that now allow fully integrating MWE identification into end-user applications. A few efforts have recently explored methods for the automatic interpretation of MWEs (Bhatia, et al. 2018; 2017), and their processing in low-resource languages (Liu & Wang 2020; Kumar et al. 2017). Resource creation and sharing should be pursued in parallel with the development of methods able to capitalize on small datasets (Han et al. 2020). Through this workshop, we would like to bring together and encourage researchers in various NLP subfields to submit MWE-related research, so that approaches that deal with processing of MWEs including processing for low-resource languages and for various applications can benefit from each other. We also intend to consolidate the converging effects of previous joint workshops LAW-MWE-CxG 2018, MWE-WN 2019 and MWE-LEX 2020, the joint MWE-WOAH panel in 2021, and the MWE-SIGUL 2022 joint session, extending our scope to MWEs in e-lexicons and WordNets, MWE annotation, as well as grammatical constructions. Correspondingly, we call for papers on research related (but not limited) to MWEs and constructions in: Computationally-applicable theoretical work in psycholinguistics and corpus linguistics; Annotation (expert, crowdsourcing, automatic) and representation in resources such as corpora, treebanks, e-lexicons, and WordNets (also for low-resource languages); Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.); Discovery and identification methods, including for specialized languages and domains such as clinical or biomedical NLP; Interpretation of MWEs and understanding of text containing them; Language acquisition, language learning, and non-standard language (e.g. tweets, speech); Evaluation of annotation and processing techniques; Retrospective comparative analyses from the PARSEME shared tasks; Processing for end-user applications (e.g. MT, NLU, summarisation, language learning, etc.); Implicit and explicit representation in pre-trained language models and end-user applications; Evaluation and probing of pre-trained language models; Resources and tools (e.g. lexicons, identifiers) and their integration into end-user applications; Multiword terminology extraction; Adaptation and transfer of annotations and related resources to new languages and domains including low-resource ones. Shared Task We do not have a shared task this year, but a new release of the PARSEME corpus of verbal MWEs is currently underway. We encourage submission of research papers that include analyses of the new edition of the PARSEME data and improvements over the results for PARSEME 2020 shared task as well as SemEval 2022 task 2 on idiomaticity prediction. *** Special Track on MWEs in Clinical NLP *** Pursuing the MWE Section’s tradition of synergies with other communities, this year, we are organizing a joint session with the Clinical NLP workshop for shared papers/poster presentations. Since clinical texts contain an important amount of multiword expressions (e.g. medical terms or domain-specific collocations), a joint session is deemed beneficial for both communities. The goal is to foster future synergies that could address scientific challenges in the creation of resources, models and applications to deal with multiword expressions and related phenomena in the specialised domain of ClinicalNLP. Submissions describing research on MWEs in the specialized domain of ClinicalNLP, especially introducing new datasets or new tools and resources, are welcome. Papers accepted in this track will have the option to present their work in the Clinical NLP workshop at ACL 2023 as well, after being presented at MWE 2023. Best paper award All full papers in the workshop will be considered by the program committee for a best paper award. Submission formats The workshop invites two types of submissions: archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references). non-archival submissions of abstracts describing relevant research presented/published elsewhere which will not be included in the MWE proceedings. Paper submission and templates Papers should be submitted via the workshop's START submission page (link will be provided once available). Please choose the appropriate submission format (archival/non-archival). Archival papers with existing reviews will also be accepted through the ACL Rolling Review. Submissions must follow the ACL 2023 stylesheet. Archival papers with existing reviews from ACL Rolling Review will also be considered. A paper may not be simultaneously under review through ARR and MWE. A paper that has or will receive reviews through ARR may not be submitted for review to MWE. Important Dates Paper submission: February 13, 2023 ARR paper commitment: March 6, 2023 Notification of acceptance: March 13, 2023 Camera-ready papers due: March 27, 2023 Workshop: May 2 or 6, 2023 All deadlines are at 23:59 UTC-12 (Anywhere on Earth) Organizing Committee Program chairs: Marcos Garcia, Voula Giouli, Lifeng Han, Shiva Taslimipoor Publication chair: Archna Bhatia Publicity chair: Kilian Evang Anti-harassment policy The workshop follows the ACL anti-harassment policy. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at mweworkshop2023(a)googlegroups.com.

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The Chilean Waiting List corpus (Dataset for NER in Spanish)
by MATÍAS IGNACIO ROJAS 24 Jan '23

24 Jan '23

We are delighted to announce that we have released the consolidated version of the Chilean Waiting List corpus. This dataset comprises 9,000 clinical referrals in Spanish, annotated with ten entity types (almost half nested), relations, and attributes. For more details, refer to the papers published at ACM Healthcare (https://lnkd.in/dJskpprV) and EMNLP conference ( https://lnkd.in/dPt6RFsj). The corpus is available through the following resources: 1. Zenodo (https://lnkd.in/dWfF_Cj6): Here, we make available the corpus in its original version (the referrals in text file format and the annotations following the standoff format). In addition, we transformed these files into the CoNLL format, which is the most suitable format for performing NER experiments. 2. Papers with code (https://lnkd.in/dsAw3Npt): This page contains the benchmark of the dataset, including references to the NER models tested to date. In particular, we published our corpus’s first results regarding the Nested Named Entity Recognition task. The results were published at COLING’s main conference. Please refer to the following link: https://lnkd.in/dHnnA3aV. 3. Hugging Face (https://huggingface.co/plncmm): To facilitate the testing of transformer-based models, we have made available 7 NER datasets in Huggingface, one for each entity type (disease, medication, body part, finding, abbreviation, family member, and procedure). Here is a simple notebook of how to load these datasets: https://lnkd.in/dVddWXux.

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CFP: 13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis (WASSA 2023) - Deadline: 24 April 2023
by jeremy.barnes＠ehu.eus 23 Jan '23

23 Jan '23

Contact: wassa2023(a)googlegroups.com Website: https://wassa-workshop.github.io/ BACKGROUND AND ENVISAGED SCOPE Subjectivity and Sentiment Analysis has become a highly developed research area, ranging from binary classification of reviews to the detection of complex emotion structures between entities found in text. This field has expanded both on a practical level, finding numerous successful applications in business, as well as on a theoretical level, allowing researchers to explore more complex research questions related to affective computing. Its continuing importance is also shown by the interest it generates in other disciplines such as Economics, Sociology, Psychology, Marketing, Crisis Management & Digital Humanities. The aim of WASSA 2023 is to bring together researchers working on Subjectivity, Sentiment Analysis, Emotion Detection and Classification and their applications to other NLP or real-world tasks (e.g. public health messaging, fake news, media impact analysis, social media mining, computational literary studies) and researchers working on interdisciplinary aspects of affect computation from text. For this edition, we encourage the submission of long and short research and demo papers including, but not restricted to the following topics: • Resources for subjectivity, sentiment, emotion and social media analysis • Opinion retrieval, extraction, categorization, aggregation and summarization • Humor, Irony and Sarcasm detection • Mis- and disinformation analysis and the role of affective attributes • Aspect and topic-based sentiment and emotion analysis • Analysis of stable traits of social media users, incl. personality analysis and profiling • Transfer learning for domain, language and genre portability of sentiment analysis • Modelling commonsense knowledge for subjectivity, sentiment or emotion analysis • Improvement of NLP tasks using subjectivity and/or sentiment analysis • Intrinsic and extrinsic evaluation of subjectivity and/or sentiment analysis • The role of emotions in argument mining • Application of theories from related fields to subjectivity and sentiment analysis • Multimodal emotion detection and classification • Applications of sentiment and emotion mining • Public sentiments and communication patterns of public health emergencies. We furthermore encourage submissions to the special theme Ethics in Affective Computing, including opinion papers, as well as experimental papers. This includes the following topics, but is not limited to them: • Which properties of a model render a automatic analysis task unethical? • Which characteristics of an annotation task are to be considered in ethical considerations? • What are appropriate methods to analyze data and models from an ethical perspective? • What aspects are particular important for affective analysis tasks, in contrast to other NLP settings? IMPORTANT DATES April 24, 2023 – Submission deadline for main workshop papers. May 1, 2023 – Commitment deadline for submitting through ARR with reviews May 22, 2023 – Notification of acceptance. June 6, 2023 – Camera-ready papers due. June 12, 2023 – Pre-recorded video due. July 13 or 14, 2023 – Workshop. Note that the shared tasks follow a different timeline that will be communicated separately. SUBMISSION At WASSA 2023, we will accept four types of submissions: long, short, ARR commitments, and industry track demo papers. For the regular research track we accept long & short papers. Submission is electronic, through the OpenReview portal for the workshop with the deadline on April 24, 2023. Both long and short papers must be anonymised for double-blind reviewing, must follow the ACL Author Guidelines, and must use the ACL 2023 templates available on the ACL Rolling Review website. The submitting author must have an OpenReview profile. Please ensure profiles are complete before submission. Long: Long papers may consist of up to eight (8) pages of content, with any number of additional pages of references, and will be presented orally. Short: Short papers may consist of up to four (4) pages of content, with two (2) additional pages of references, and will be presented either orally or as a poster. ARR Commitments: Additionally, we accept double submissions and double commitment of ARR reviews in parallel to WASSA and another venue. Please note that you must immediately withdraw your paper from WASSA if you decide to publish it elsewhere. They must be committed to the workshop (together with the reviews) not later than May 1, 2023. Industry Demos: We also include an industry track, for which we accept demo papers that describe system demonstrations, ranging from early prototypes to mature production-ready systems. Please note: Commercial sales and marketing activities are not appropriate for this track. Demo papers may consist of up to six (6) pages of content, these will be presented as a poster and should include a live demonstration. Additionally, system description papers from the shared tasks will be presented either orally or as poster. SHARED TASK Following the success of the shared tasks organized in 2017, 2018, 2021 and 2022, we will continue our line of shared tasks. We will propose a first shared task on Empathy Detection and Emotion Classification in conversation at the speech-turn level, and a second shared task on multi-class and multi-label emotion classification on code-mixed (Roman Urdu + English) text messages. The tasks and deadlines will be communicated in due time. Keep a close eye on the workshop website for more details: https://wassa-workshop.github.io/ ORGANIZERS Jeremy Barnes, IXA group, University of the Basque Country UPV/EHU Orph ́ee De Clercq, LT3 Language and Translation Technology Team, Ghent University Roman Klinger, Institut f ̈ur Maschinelle Sprachverarbeitung, University of Stuttgart, Germany Valentin Barriere, Centro Nacional de Inteligencia Artificial Shabnam Tafreshi, University of Maryland: ARLIS Jo ̃ao Sedoc, Technology, Operations, and Statistics department, New York University Iqra Ameer, Yale University

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First Call - shared task on Multilingual Grammatical Error Detection (Czech, English, German, Italian, Swedish)
by Elena Volodina 23 Jan '23

23 Jan '23

Call for participation - shared task on Multilingual Grammatical Error Detection (MultiGED-2023) on Czech, English, German, Italian and Swedish Official website for the shared task: https://github.com/spraakbanken/multiged-2023 The Computational SLA<https://spraakbanken.gu.se/en/compsla> working group invites you to participate in the first shared task on Multilingual Grammatical Error Detection, MultiGED-2023, which includes five languages: Czech, English, German, Italian and Swedish. The aim of this shared task is to detect tokens in need of correction across five different languages, labeling them as either correct ("c") or incorrect ("i"), i.e. performing binary classification at the token level. You can work on one of the provided languages or any combination of languages. More details about the task: https://github.com/spraakbanken/multiged-2023 The shared task is part of the NLP4CALL workshop<https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…>, which will take place on 22 May 2023, co-located with the NoDaLiDa conference<https://www.nodalida2023.fo/> to be held in the Faroe Islands. Accepted papers with systems descriptions will be published in the workshop proceedings and double-published through the ACL anthology. Timeline: * 23 January, 2023 - first call for participation. Training and validation data released, CodaLab opens for team registrations. * 14 February, 2023 - second call/reminder * 27 February, 2023 - test data released * 03 March, 2023 - system submission deadline (system output) * 10 March, 2023 - results announced * 03 April, 2023 - paper submission deadline with system descriptions. We encourage you to share models, code, fact sheets, extra data, etc. with the community through github or other repositories on paper publication. * 21 April, 2023 - paper reviews sent to the authors * 01 May, 2023 - camera-ready deadline * 22 May, 2023 - presentations of the systems at NLP4CALL workshop To register for/express interest in the shared task, please fill in this form<https://forms.gle/DgwTNmTCQhsmrbxq6>. To ask questions and to get important information and updates about the shared task, please join the MultiGED-2023 Google Group<https://groups.google.com/g/multiged-2023>. Official system evaluation will be carried out on CodaLab<https://codalab.lisn.upsaclay.fr/competitions/9784>. Organizers: * Elena Volodina<https://spraakbanken.gu.se/en/about/staff/elena>, University of Gothenburg, Sweden * Chris Bryant<https://www.cst.cam.ac.uk/people/cjb255>, University of Cambridge, UK * Andrew Caines<https://www.cl.cam.ac.uk/~apc38/>, University of Cambridge, UK * Orphee De Clercq<https://research.flw.ugent.be/nl/orphee.declercq>, Ghent University, Belgium * Jennifer-Carmen Frey<https://www.eurac.edu/en/people/jennifer-carmen-frey>, EURAC Research, Italy * Elizaveta Ershova, JetBrains, Cyprus * Alexandr Rosen<http://utkl.ff.cuni.cz/~rosen/>, Charles University, Czech Republic * Olga Vinogradova, Independent researcher, Israel Please, feel freee to forward this call to those who might be interested. ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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Assistant Professorships in NLP/AI at the University of Groningen
by Malvina Nissim 23 Jan '23

23 Jan '23

Dear All, In the context of a large national investment in the Humanities, there are 24 assistant professor positions currently available at the Faculty of Arts of the University of Groningen, The Netherlands. This Faculty also hosts the Natural Language Processing group (@GroNLP, https://www.rug.nl/research/clcg/research/cl/?lang=en). Several of these positions are aimed at strengthening the field of Humane AI, with a particular focus on NLP. More details can be found here: https://www.rug.nl/let/sectorplan/positions-in-humane-ai. The application procedure is centralised for all 24 positions: https://www.rug.nl/let/sectorplan/ If you have any questions regarding the NLP / Humane AI positions, you can get in touch with me. The application deadline is January 31st 2023. If you work in relevant fields and are willing to join an active and vibrant research group, please consider applying! Best wishes, Malvina Nissim ------------------------------- prof. dr. Malvina Nissim Chair of Computational Linguistics and Society Center for Language and Cognition Groningen Faculty of Arts, Rijksuniversiteit Groningen, The Netherlands (on scholar: https://scholar.google.nl/citations?user=hnTpEOAAAAAJ)

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[ECIR2023] Call for Participation
by Esraa Ali 23 Jan '23

23 Jan '23

Hello All, The annual European Conference on Information Retrieval (ECIR) is the main European forum for the presentation of new research results in the field of Information Retrieval. In 2023, the forty fifth ECIR conference (ECIR'23) will be held in Dublin, Ireland from the 2nd to the 6th of April 2023. ECIR'23 will feature a high quality programme including long and short papers, posters, demonstrations, workshops & tutorials and an Industry Day. A tentative schedule for the event can be found here *http://ecir2023.org/programs/draft-schedule.html <http://ecir2023.org/programs/draft-schedule.html>* The conference offers different registration categories: - Early Registration (until 31st January 2023) - Normal Registration (until 30th March 2023) - Late/Onsite Registration (after 30th March 2023) - Virtual Registration (non-authors) - Ancillary/Single Event Registration More details about registration rates can be found in this link *http://ecir2023.org/registration.html <http://ecir2023.org/registration.html>* All registrations must be done via ECIR 2023 registration site: *https://ecir2023.eventbrite.ie/ <https://ecir2023.eventbrite.ie/>* Best Regards, Esraa Ali, Ph.D. DCU Publicity officer, ECIR 2023 -- * *Séanadh Ríomhphoist/Email Disclaimer* *Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://sites.google.com/view/seanadh-riomhphoist>* *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://sites.google.com/view/dcu-email-disclaimer>* * -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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Last Call for Course Proposals: ESSAI - European Summer School in Artificial Intelligence
by Roberto Navigli 23 Jan '23

23 Jan '23

*ESSAI - European Summer School in Artificial Intelligence*24-28 July 2023 Ljubljana, Slovenia *CALL FOR COURSE PROPOSALS* 1st European Summer School in Artificial Intelligence - ESSAI 2023 24-28 July, 2023 Faculty of Computer and Information Science, University of Ljubljana, Slovenia https://eurai.org/essai ESSAI 2023 is organized jointly with ACAI 2023, the Twentieth Advanced Course on Artificial Intelligence, and with the third TAILOR Summer School on Artificial Intelligence. *IMPORTANT DATES:* 24 Jan 2023: Course Title submission deadline (mandatory) 31 Jan 2023: Final submission 28 Feb 2023: Notification The European Summer School in Artificial Intelligence (ESSAI) is a new annual summer school held under the auspices of the European Association for Artificial Intelligence (EurAI). ESSAI build on initiatives of the EU project TAILOR, and the 1st edition of ESSAI is simultaneously the 3rd edition of the TAILOR Summer School. The ambition of ESSAI is to become the central meeting place for students and young researchers in Artificial Intelligence to discuss current research and share knowledge. ESSAI will provide an interdisciplinary setting in which courses are offered in all areas of Artificial Intelligence and also from wider scientific, historical, and philosophical perspectives. The format of ESSAI is analogous to the European Summer School in Logic, Language and Information (ESSLLI) which has been running since 1989. Courses will consist of five 90-minute sessions, offered daily (Monday-Friday) in a single week, to allow students to develop in-depth knowledge of a topic. The first ESSAI will be held in Ljubljana, Slovenia in between the 24th and 28th of July 2023. ESSAI 2023 aims to attract around 400 participants from all parts of Europe, as well as from North and Latin America, and Asia. *TOPICS AND FORMAT* ESSAI aims to cover all subdisciplines of AI and the interactions between them. Proposals for courses at ESSAI 2023 are invited in all areas of Artificial Intelligence, including but not limited to the following: - Agent-based and Multi-agent Systems (MAS) - Ethics, Legal Issues, Explainable and Trustworthy AI (XAI) - Knowledge Representation and Reasoning (KR) - Natural Language Processing (NLP) - Neuro-Symbolic Learning and Reasoning (NeSy) - Planning & Strategic Reasoning (PLAN) - Reinforcement Learning (RL) - Robotics (ROB) - Search & Optimization (SO) - Supervised and Unsupervised Learning (ML) - Vision (VIS) Each course will consist of five 90-minute lectures, offered daily (Monday-Friday) in a single week. While foundational courses will typically focus on one subarea of AI, introductory and advanced courses are encouraged to present a broader perspective on AI, and should be of interest beyond one specific area. *CATEGORIES* Each proposal should fall under one of the following categories. * FOUNDATIONAL COURSES * Foundational courses present the basics of a research area to students with no prior knowledge in that area. They should be at an elementary level, without prerequisites in the course's topic, though possibly assuming a level of general scientific maturity in the relevant discipline. They should enable researchers from related disciplines to become comfortable with the fundamental concepts and techniques of the course topic, thereby contributing to the interdisciplinary nature of our research community. * INTRODUCTORY COURSES * Introductory courses are central to ESSAI's mission. They are intended to introduce a research field to students, young researchers, and other non-specialists, and to foster a sound understanding of its basic methods and techniques. Introductory courses should enable researchers from related disciplines to become competent in the course topic. Introductory courses that are cross-disciplinary may presuppose general knowledge of the relevant disciplines. * ADVANCED COURSES * Advanced courses are targeted primarily at graduate students who wish to acquire an understanding of current research in a field of Artificial Intelligence. *PROPOSAL GUIDELINES* To be considered, course proposals should closely adhere to the following guidelines: Course proposals must be submitted by the lecturers who will present the course. Normally, a course should have no more than two or three lecturers, and each lecturer should hold a PhD or equivalent degree. Course proposals should explicitly state the intended course category. Proposals for introductory courses should indicate the intended level, for example, as it relates to standard textbooks and monographs in the area. Proposals for advanced courses should specify the prerequisites in detail. Proposals must be submitted in PDF format via: https://easychair.org/conferences/?conf=essai2023 and include all of the following: a. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional) b. General proposal information: Title, category c. Information about the course content: Abstract of up to 150 words Motivation and description (up to two pages) Tentative outline Expected level and prerequisites Appropriate references (e.g. textbooks, monographs, proceedings, surveys) d. Information about the proposer(s) and course: Proposers’ experience of delivering courses in an intensive interdisciplinary setting Evidence that the proposers are excellent lecturers Where there is more than one lecturer, the role of each lecturer and their teaching commitment to the course should be specified. To keep participation fees to a minimum, all the instructional and organizational work of ESSAI is performed on a completely voluntary basis. However, the registration fees of organizers and instructors will be waived, and travel and accommodation expenses will be reimbursed up to a level which will be communicated along with the proposal notification. ESSAI can only guarantee reimbursement for at most one course lecturer, and can not guarantee full reimbursement of travel costs for lecturers from outside of Europe. The organizers of ESSAI would appreciate any help in reducing the School's expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources. *SUBMISSION INFORMATION* By Jan 24, 2023: Proposers must submit on EasyChair at least the name(s) of the lecturers(s), the ESSAI area+course level and a short abstract. By Jan 31, 2023: Submission must be completed by uploading a PDF with the actual proposal as detailed above. *SUBMISSION PORTAL* Please submit your proposals to https://easychair.org/conferences/?conf=essai2023 *PROGRAM COMMITTEE* Magdalena Ortiz, Umeå University (chair) Brian Logan, Utrecht University (associate co-chair) Sašo Džeroski, Jozef Stefan Institute Ljubljana (co-chair and ACAI chair) *AREA CHAIRS* Natasha Alechina, Utrecht University Kristian Kersting, TU Darmstadt Günter Klambauer, Johannes Kepler Universität Linz Ioannis Kompatsiaris, CERTH-ITI Roberto Navigli, Sapienza University of Rome Ann Nowé, Vrije Universiteit Brussel Alessandro Saffiotti, University of Örebro Sungho Suh, DFKI *ORGANIZING COMMITTEE* Aleksander Sadikov, University of Ljubljana Vida Groznik, University of Primorska, University of Ljubljana, Sašo Džeroski, Jožef Stefan Institute Jure Žabkar, University of Ljubljana *STANDING COMMITTEE* Giuseppe De Giacomo, Sapienza University of Rome, Head of SC and EurAI Board Representative -- ============================================== Roberto Navigli - Professor Department of Computer, Control and Management Engineering Sapienza University of Rome Via Ariosto, 25 00185 Roma Italy Phone: +39 06 77274109 Home Page: https://www.diag.uniroma1.it/navigli/ Sapienza NLP Group: http://nlp.uniroma1.it Co-founder of Babelscape ==============================================

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