- Corpora - ELRA lists

Learning with Small Data -- First CfP
by Sharid Loáiciga 13 Dec '22

13 Dec '22

# Learning with Small Data -- 1st CfP https://sites.google.com/view/learning-with-small-data/home There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics. Learning with Small Data will bring together researchers from various areas to discuss the sustainability of current state of the art methods in computational linguistics which rely on very large models, such as GPT2-3, BERT, and XLNet. The conference encourages contributions from machine learning, computational linguistics, theoretical linguistics, philosophy, cognitive science, and psycholinguistics, as well as from artificial intelligence ethics and social policy. We hope to see innovative technical proposals, and we will cultivate a wide spectrum of views within a lively dialog on the issues that the conference addresses. The conference is organized by CLASP, University of Gothenburg. ## Important Dates: Submission deadline: 2023 May 5, anywhere on Earth Notification of acceptance: 2023 June 12, anywhere on Earth Camera ready: 2023 August 14, anywhere on Earth Conference: 2023 September 11-12, not anywhere on Earth, but in Gothenburg ## Topics of interest We welcome all relevant approaches to text-based and multimodal computational neural language modeling as well as psycholinguistic perspectives, neurolinguistic perspectives, ethical, and policy issues. Papers are invited on topics in these and closely related areas, including (but not limited to) the following: small-scale neural language modeling, both text-only and multimodal training corpus and test task development visual, dialog and multi-modal inference systems neurolinguistic and psycholinguistic experimental approaches to human language processing semantics and pragmatics in neural models dialog modeling and linguistic interaction formal and theoretical approaches to language production and comprehension language acquisition in the context of computational linguistics statistical, machine learning, reinforcement learning and information theoretic approaches that embrace small data methodologies and practices for annotating datasets visual, dialog and multi-modal generation text generation in both the dialog and monologue settings semantics-pragmatics interface social and ethical implications of the development and application of large or small neural language models, as well as relevant policy implications and debates. ## Submission Requirements LSD 2023 will feature three types of submissions: long papers, student papers, and short papers. All types of papers should be submitted not later than 5 May 2023. Long papers must describe original research, and they must not exceed 8 pages excluding references. They will be presented at the conference either orally or as posters. Student papers describe original research, and the first author must be a student, or at least 2/3 of the work on a paper should be done by students. Student papers must not exceed 6 pages excluding references. Reviewers will give special support to student authors through mentoring. The papers will be presented orally or as posters at the conference. Short papers present work in progress, or they describe systems and/or projects. They must not exceed 4 pages excluding references. They will be presented as posters at the conference and summarized in lightning talks. Position papers are also accepted. These should be formatted in the same way as long papers. All types of papers will be published in the 2023 ACL Anthology as a CLASP Conference Proceedings. Submissions should be pdf files and use the Latex or Word templates provided for ACL 2023 submissions ( https://2023.aclweb.org/calls/style_and_formatting/). Submissions have to be anonymous. Papers should be electronically submitted in PDF format via the softconf system at: https://softconf.com/n/lsd2023/. Please make sure that you select the right track when submitting your paper. Contact the organisers if you have problems using softconf. ## Concurrent Submissions Papers that have been or will be submitted to other meetings or publications must indicate this at submission time using a footnote on the title page of the submissions. Authors of papers accepted for presentation at Learning with Small Data 2023 must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. All accepted papers must be presented at the conference to appear in the proceedings. We will not accept for publication or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. ## Camera Ready Versions Camera ready versions should follow the same guidelines with respect to style and page numbers as the initial submission, i.e. there are no additional pages allowed in the final submission. Please submit the camera ready version by 2023 August 14.

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PhD opportunity at King's College London
by Barbara McGillivray 13 Dec '22

13 Dec '22

(Apologies for cross-posting) A fully funded PhD position is now available at King’s College London on the project “‘Lost for words’: semantic search in the Find Case Law service of The National Archives”, a Collaborative Doctoral Award received by King’s College London in collaboration with The National Archives and funded by the London Arts & Humanities Partnership (LAHP<https://www.lahp.ac.uk/about-us/>). This interdisciplinary project is an exciting opportunity to work in natural language processing (particularly computational semantics and information retrieval) applied to legal texts and digital humanities. About the project Access to case law is vital for safeguarding the constitutional right of access to justice. It enables members of the public to understand their position when facing litigation and to scrutinise court judgements. Since April 2022, UK court and tribunal decisions are preserved by The National Archives’ Find Case Law service as freely accessible online public records. This project seeks to improve Find Case Law by enhancing it with meaning-sensitive (semantic) search functionality. It will study how individuals without legal training use language to navigate court judgments and it will develop tools to facilitate this navigation. In most digital cultural heritage catalogues, while we can search for words within the metadata describing their records, we cannot search for records based on the meaning of words contained within these records, for example the different words to refer to “knife crime”. Therefore, users’ access to collection is determined by their ability to articulate their information need precisely. Recent advances in natural language processing unlock new possibilities for querying documents via state-of-the-art semantic search. Incorporating such search capabilities in the Find Case Law collection is crucial for democratising access to digital collections, helping expose the social impact of how the law is written. For queries specific to the project, please contact the project’s lead supervisor Barbara McGillivray (barbara.mcgillivray(a)kcl.ac.uk<mailto:barbara.mcgillivray@kcl.ac.uk>). Supervisory team * Barbara McGillivray<https://www.kcl.ac.uk/people/barbara-mcgillivray> (Department of Digital Humanities, King’s College London) * Nicki Welch (The National Archives) * Rose Rees Jones (The National Archives) * Niccolò Ridi<https://www.kcl.ac.uk/people/niccolo-ridi> (Department of Law, King’s College London) * Marton Ribary<https://pure.royalholloway.ac.uk/en/persons/marton-ribary> (Department of Law and Criminology, Royal Holloway University of London) Skills required Essential • Experience with Natural Language Processing research and applied work, including developing new tools. • Interest in working with UK case law for improving access to justice Desirable • Background in law or legal research. • Experience working with digital archives • Knowledge of User experience (UX) research • Knowledge of lexical semantics. • Experience with semantic search. • Experience with NLP applied to legal texts. About application process Applicants will need to submit an application for a PhD in Digital Humanities at King’s<https://www.kcl.ac.uk/study-legacy/postgraduate/research-courses/digital-hu…> (details here<https://www.kcl.ac.uk/study-legacy/postgraduate/research-courses/digital-hu….>) and an application for the LAHP (details here<https://www.lahp.ac.uk/prospective-students/collaborative-doctoral-awards-p…>). Both applications need to be submitted by 27 January 2023 at 5pm. About Collaborative Doctoral Awards Collaborative Doctoral Awards (CDAs) provide funding for doctoral students to work on a project in collaboration with an organisation outside higher education. They are intended to encourage and develop collaboration and partnerships and to provide opportunities for doctoral students to gain first-hand experience of work outside the university environment. They enhance the employment-related skills and training available to the research student during the course of the award. The studentship includes a stipend at the Research Council UK Home/ EU rate (£19,668 per annum) plus fees for three and half years. The awarded candidate will also be entitled to a £550 per annum stipend top-up. LAHP welcomes applications: * From ‘home’ and ‘international’ (including EU) applicants who meet the residency requirements as detailed on the UKRI Guidance document on EU and International eligibility<https://www.ukri.org/what-we-offer/developing-people-and-skills/find-studen…> * From those who have recently completed their Masters’ programmes and those with relevant professional and/or practitioner experience; * From those wishing to study on a full-time or part-time basis; * From applicants of all ages and backgrounds. * For full details on the LAHP Collaborative Doctoral Awards, please visit https://www.lahp.ac.uk/prospective-students/collaborative-doctoral-awards-p… Barbara McGillivray | @BarbaraMcGilli<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftwitter.c…> Lecturer in Digital Humanities and Cultural Computation Strand Campus, Strand, London, WC2R 2LS, Room 3.28, Department of Digital Humanities, King’s College London Turing Fellow<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turin…>, The Alan Turing Institute Editor-in-chief of Journal of Open Humanities Data<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fopenhuman…>

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Call For Papers: FICTA-2023, Cardiff Metropolitan University, United Kingdom (UK top university for Sustainability) || Springer SIST Series (Scopus Indexed) || Paper Submission Deadline: 10 January 2023 || https://ficta.co.uk/
by Sandeep Sengar 13 Dec '22

13 Dec '22

Dear All, We are happy to inform you that the Eleventh International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2023) will be organized by Cardiff Metropolitan University, United Kingdom. We invite you to participate in FICTA-2023: https://ficta.co.uk/ on 11-12 April 2023, being organized in a hybrid mode and connecting with high-profile committee members across the globe. Publication: All FICTA 2023 registered and presented papers will be published in conference proceedings by Springer-Smart Innovation, Systems and Technologies (SIST) Series (https://lnkd.in/eGDscF_X). Topics of interest: Submissions of quality papers are expected in all areas of research and application in intelligent computing, refer call for papers at https://lnkd.in/eD_UmBrT. Papers Submission: Submissions are handled through the Springer EquinOCS using the link: https://lnkd.in/eiKgiTc4 Call for Special Session Proposals: If interested to float/organizing a special session please visit the link and follow the necessary guidelines: https://lnkd.in/ev9c9y7k For any queries related to the conference you may feel free to e-mail: FICTA2023(a)cardiffmet.ac.uk Kindly share this information in your network to make our conference a grand success. -- Warm Regards, *Sandeep Singh Sengar*, Lecturer in Computer Science Cluster Leader Computer Vision / Image Processing Cardiff Metropolitan University, Cardiff, UK CF5 2YB *-------------------------------------------------------------------------------* *Email: SSSengar(a)cardiffmet.ac.uk <SSSengar(a)cardiffmet.ac.uk>* *Web: **https://sites.google.com/view/sandeepsengar <https://sites.google.com/view/sandeepsengar>*

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Release of BFM2022 Corpus
by Alexey Lavrentev 13 Dec '22

13 Dec '22

[Apologies for cross-posting] Dear colleagues, We are delighted to announce that the BFM2022 corpus of Old and Middle French (9th to 15th centuries) is now available from the web portal of the Base de Français Médiéval at https://txm-bfm.huma-num.fr/txm/?command=documentation&path=/BFM2022. The Base de Français Médiéval provides free access to several corpora (source texts and digital annotation) under a French public open data license (https://www.etalab.gouv.fr/licence-ouverte-open-licence). Three modes of access are supported : • search, analysis and reading tools provided by the TXM-BFM web portal; • download a binary corpus file for use with TXM local application; • download TEI XML source files from NAKALA repository: https://nakala.fr/collection/10.34847/nkl.93ee3ts1. The BFM portal is now hosted by the Huma-Num infrastructure which provides a secure connection for user data. The BFM2022 corpus includes some fifty new texts, amounting to approximately 6,450,000 words. All the texts are formatted according to the TEI guidelines (including the instances of direct speech), automatically pos-tagged and lemmatized. The POS tags have been manually verified in 8 new texts (46 total, approximately 1,000,000 words), and the lemmatization has been verified and disambiguated in 27 texts (aproximately 620,000 words). An original digital edition of Psautier d’Arundel by C. Pignatelli is one of the new texts included in the corpus. As well as BFM2022, a syntactically annotated corpus PROFITEROLE-V1-0 is now available from the BFM web portal. Produced by the ANR funded PROFITEROLE Project (https://www.lattice.cnrs.fr/projets/projets-passes/projet-anr-profiterole), it supports querying syntactic relations encoded according the Universal Dependencies guidelines (https://universaldependencies.org). We will appreciate any feedback on technical issues or errors in texts you may encounter while using the BFM. Best regards, The BFM Team bfm [at] ens-lyon [dot] fr -- Alexey Lavrentev Ingénieur de recherche UMR 5317 IHRIM, CNRS

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New release: the FR-R-MIGR-TWIT and the UK-R-MIGR-RA-TWIT Corpora.
by Paola Pietrandrea 13 Dec '22

13 Dec '22

The *MIGR-TWIT Corpus* is a bilingual diachronic corpus of tweets created with the aim to study the evolution of public discourse on migration in Europe in the past 10 years. We are pleased to announce the release of the *first two components* of the corpus: *the **FR-R-MIGR-TWIT-2011-2022 *and the* UK-R-MIGR-RA-TWIT-2012-2022 Corpora.* · *FR-R-MIGR-TWIT-2011-2022 Corpus* includes all the tweets displaying at least one occurrence of the lexical root -*migr- *(*i.e*., the words *immigration(s), migrant(s), immigré(s)*), posted by *16* *right and far-right French politicians and political parties, between 2011 and 2022,* for a total amount of 11,761 tweets and 358,491 words. · *UK-R-MIGR-RA-TWIT-2012-2022 Corpus *includes all the tweets displaying at least one occurrence of the words derived from the Latin lexical root “*migr*” of *migrare (to move from one place to another) *in addition to the keywords “*refugee*(*s*)” and “*asylum*”, posted by *12 **right and far-right British politicians and political parties between 2012 and 2022*, for a total amount of 6,472 tweets and 174,707 words. The whole corpus contains 18,233 tweets and 533,198 words. The posts were automatically retrieved using the *Twitter API v2 Academic Research*. The whole corpus contains two CSV Zip files (tab-delimited format) corresponding to each sub-corpus. The complete corpus is presented in two versions: - version1 with the tweet identifier (*data__id*) and the text of the tweet (*data__text*) as a header (folders named *FR-R-MIGR-TWIT-2011-2022_textonly* and *UK-R-MIGR-RA-TWIT-2012-2022_textonly*, respectively composed of 12 and 11 Zip files of every single year); - version2 with all tweet fields information included as a header, such as the posting date (*data__created__at*), the username (*author__name*), and the number of retweets (*data__public_metrics__retweet_count*), etc., with two folders named *FR-R-MIGR-TWIT-2011-2022_meta* and *UK-R-MIGR-RA-TWIT-2012-2022_meta* The corpus was created by Elena Battaglia (Università della Svizzera Italiana and Université de Lille), Guido Blandino (University of Wolverhampton), Paola Pietrandrea and Sangwan Jeon (Université de Lille), with the collaboration of Adelina Stojan (Université de Lille), within the framework of the observatory OLiNDiNUM, *Observatoire LINguistique du DIscours NUMérique* <https://olindinum.huma-num.fr/>, [Linguistic Observatory of Digital Discourse], coordinated by Paola Pietrandrea. The creation of the corpus was funded by Université de Lille, Projet d'Internationalisation 2021 - Université Franco-italienne / Università Italo Francese - Campus France (Hubert Curien Partnerships): Italie - PHC Galilée 2018-19, Pays-Bas - PHC Van Gogh 2018-19. The corpus is freely accessible through the platforms Ortolang <https://www.ortolang.fr/market/corpora/migr-twit-corpus/v1> and Zenodo <https://zenodo.org/record/7347479#.Y5ee5naZMuE>. Elena Battaglia, Guido Blandino, Sangwan Jeon, Paola Pietrandrea Le *Corpus MIGR-TWIT* est un corpus diachronique de tweets bilingues, établi dans l’objectif d’étudier l’évolution du discours public sur l’immigration en Europe au cours de ces 10 dernières années. Nous avons le plaisir de vous annoncer la publication des *deux premières composantes* du corpus : les *corpus FR-R-MIGR-TWIT-2011-2022* et *UK-R-MIGR-RA-TWIT-2012-2022*. · Le *corpus FR-R-MIGR-TWIT-2011-2022* rassemble tous les tweets contenant au moins une occurrence du lexique dérivé de la racine lexicale - *migr*- (*i.e*. *immigration(s), migrant(s), immigré(s)*), qui ont été postés par *16 figures et partis politiques de la droite et de l’extrême-droite françaises entre 2011 et 2022*, comptant un total de 11,761 tweets et 358,491 mots. · Le *corpus UK-R-MIGR-RA-TWIT-2012-2022* rassemble tous les tweets contenant au moins une occurrence du lexique dérivé de la racine latine “ *migr*” de *migrare* (*s’en aller d’un lieu*) en plus des mots-clés “ *refugee(s)*” et “*asylum*” (*asile*), qui ont été postés par *12 figures, partis et institutions politiques de la droite et de l’extrême-droite britanniques entre 2012 et 2022*, comptant un total de 6,472 tweets et 174,707 mots. L’ensemble du corpus compte au total 18,233 tweets et 533,198 mots. Les données ont été automatiquement récupérées à l’aide du *Twitter API v2 Academic Research*. Le corpus complet contient deux fichiers CSV (format tabulaire de données) correspondant à chaque sous-corpus. Le corpus complet se présente en deux versions : - version1 avec l’identifiant du tweet (*data__id*) et le texte du tweet (*data__text*) comme l’entête (les fichiers nommés *FR-R-MIGR-TWIT-2011-2022_textonly* et *UK-R-MIGR-RA-TWIT-2012-2022_textonly*, respectivement composés de 12 et 11 fichiers CSV de chaque année) ; - version2 avec toutes les métadonnées du tweet comme l’entête, telles que la date de publication (*data__created__at*), le nom d’utilisateur (*author__name*), et le nombre de retweets ( *data__public_metrics__retweet_count*), etc., avec deux fichiers nommées *FR-R-MIGR-TWIT-2011-2022_meta *et *UK-R-MIGR-RA-TWIT-2012-2022_meta* Le corpus a été créé par Elena Battaglia (Università della Svizzera Italiana et Université de Lille), Guido Blandino (University of Wolverhampton), Paola Pietrandrea et Sangwan Jeon (Université de Lille), avec la collaboration d’Adelina Stojan (Université de Lille), dans le cadre du projet *OLiNDiNUM, Observatoire LINguistique du DIscours NUMérique* <https://olindinum.huma-num.fr/>, coordonné par Paola Pietrandrea. La création du corpus a été financée par l’Université de Lille, Projet d’Internationalisation 2021 - l’Université Franco-italienne / Università Italo Francese - Campus France (Partenariats Hubert Curien) : Italie - PHC Galilée 2018-19, Pays-Bas - PHC Van Gogh 2018-19. Le corpus est librement accessible via les plateformes Ortolang <https://www.ortolang.fr/market/corpora/migr-twit-corpus/v1> et Zenodo <https://zenodo.org/record/7347479#.Y5ee5naZMuE>. Elena Battaglia, Guido Blandino, Sangwan Jeon, Paola Pietrandrea

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Reminder CILC2023
by Paula Rodríguez-Puente 12 Dec '22

12 Dec '22

Dear colleagues, As a reminder, we send information on the third call for papers for the *XIV International Conference on Corpus Linguistics *which will be held in Oviedo 10-12 May 2023. *IMPORTANT INFORMATION:* 1) *Deadline extension: 15 January 2023.* 2) Several hotels in Oviedo have agreed to offer *special prices <https://cilc2023.wordpress.com/accommodation-travel-information/> *for conference attendants. Please, visit the conference website for further information: *https://cilc2023.wordpress.com/* <https://urldefense.com/v3/__https://cilc2023.wordpress.com/__;!!D9dNQwwGXtA…> *SUBMISSION OF PROPOSALS:* *https://old.linguistlist.org/confservices/14CILC.OVIEDO* <https://urldefense.com/v3/__https://old.linguistlist.org/confservices/14CIL…> Best regards, The Organising Committee -- Paula Rodríguez Puente paula.r.puente(a)gmail.com http://www.usc-vlcg.es/PRP.htm

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1st CfP: SEMANTiCS 2023 EU || Sep 20 - 22, 2023 || Leipzig, Germany
by pr-aksw＠informatik.uni-leipzig.de 12 Dec '22

12 Dec '22

==== SEMANTiCS - 19th International Conference on Semantic Systems Leipzig, Germany September 20 - 22, 2023 ==== The Research and Innovation track at SEMANTiCS 2023 EU welcomes papers on novel scientific research and/or innovations relevant to the topics of the conference. Submissions must be original and must not have been submitted for publication elsewhere. Papers must follow the guidelines given in the author instructions, including references and optional appendices. Each submission will be reviewed by several PC members who will assess it based on its innovativeness, technical merits, and effectiveness at solving real problems. SEMANTiCS 2023 especially invites contributions that target the following main topics, sub-topics in the context of semantic-based research and systems as well as applicative domains. = Topics of Interest = * Topics of interest include, but are not limited to: * Web Semantics & Linked (Open) Data * Enterprise Knowledge Graphs, Graph Data Management * Machine Learning Techniques for/using Knowledge Graphs (e.g. reinforcement learning, deep learning, data mining and knowledge discovery) * Knowledge Management (e.g. acquisition, capture, extraction, authoring, integration, publication) * Terminology, Thesaurus & Ontology Management * Reasoning, Rules, and Policies * Natural Language Processing for/using Knowledge Graphs (e.g. entity linking and resolution using target knowledge such as Wikidata and DBpedia, foundation models) * Crowdsourcing for/using Knowledge Graphs * Data Quality Management and Assurance * Mathematical Foundation of Knowledge-aware AI * Multimodal Knowledge Graphs * Semantics in Data Science * Semantics in Blockchain environments * Trust, Data Privacy, and Security with Semantic Technologies * Economics of Data, Data Services, and Data Ecosystems * IoT and Stream Processing * Conversational AI and Dialogue Systems * Provenance and Data Change Tracking * Semantic Interoperability (via mapping, crosswalks, standards, etc.) Special Sub-Topics: * Digital Humanities and Cultural Heritage * LegalTech, AI Safety, Explainable and Interoperable AI * Decentralized and/or Federated Knowledge Graphs Application of Semantically Enriched and AI-Based Approaches: * Knowledge Graphs in Bioinformatics and Medical AI * Clinical Use Case of AI-based Approaches * AI for Environmental Challenges * Semantics in Scholarly Communication and Open Research Knowledge Graphs * AI and LOD within GLAM (galleries, libraries, archives, and museums) institutions = Important Dates = * Abstract Submission Deadline: May 09, 2023 (11:59 pm, Hawaii time) * Paper Submission Deadline: May 16, 2023 (11:59 pm, Hawaii time) * Notification of Acceptance: June 20, 2023 (11:59 pm, Hawaii time) * Camera-Ready Paper: July 04, 2023 (11:59 pm, Hawaii time) Submission via Easychair on https://easychair.org/ = Author Guidelines and Submission = * The Research and Innovation Track welcomes long and short papers. Long papers should have 12-15 pages of content (excluding references) and short papers of a maximum length of 6 pages of content (excluding references). Since references are excluded from page counting, it is fine to have one or more additional pages for references if they are relevant to the study submitted. * Submissions should follow the guidelines of IOS Press. Details are available at https://www.iospress.com/book-article-instructions. * Abstract submission for all papers is a strict requirement. To facilitate bidding, we strongly suggest the authors submit structured abstracts. * All papers and abstracts have to be submitted electronically via EasyChair. * Submissions must be in English. * Submissions must be anonymous; the reviewing process is double-blind, but reviewers will be able to disclose their identities if they wish, by signing their reviews. * Accepted papers will be published in open access proceedings by IOS Press, and the text of all the reviews (excluding the scores) of all the accepted papers will be posted on the conference website and will be archived on Zenodo as publicly available material. * At least one author of each accepted paper must register for the conference and present the paper. * All authors are strongly suggested to provide optional links to code, materials, and datasets during the submission process - we will have specific optional fields in the EasyChair submission form - the review process will take these into account when provided. To anonymise resources for the reviewing process, authors can use services like Anonymous GitHub or figshare/Zenodo as described here. * The Research and Innovation Track will not accept papers that, at the time of submission, are under review or have already been published in or accepted for publication in a journal or another conference. * All authors will have the opportunity to provide an ORKG comparison in the Open Research Knowledge Graph (https://orkg.org) during the submission process - we will have a specific optional field in the EasyChair submission form. = Review and Evaluation Criteria = Each submission will be reviewed by several Programme Committee members. The reviewing process is double-blind. However, reviewers can disclose their identity by signing their reviews and/or adding one of their persistent identifiers (e.g. their ORCID). The text of all the reviews (excluding the scores) of all the accepted papers will be posted on the conference website with the basic bibliographic metadata of the reviewed submission (i.e. title and authors), and it will be archived on Zenodo as publicly available material. All the signed reviews of the accepted papers will be licensed using a Creative Commons Attribution license (CC-BY, the copyright holder will be the reviewer), except the anonymous ones that will be released in CC0. Papers submitted to this track will be evaluated according to the following criteria: * Appropriateness * Originality, novelty, and innovativeness * Impact of results * Soundness of the evaluation * Proper comparison to related work * Clarity and quality of writing * Reproducibility of results and resources We are looking forward to your contribution! Maribel Acosta & Silvio Peroni Research and Innovation Track Chairs

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Permanent research position in NLP and under-resourced languages (deadline January 5).
by Sylvain Kahane 12 Dec '22

12 Dec '22

Modyco lab (Paris Nanterre University & CNRS, France, https://modyco.fr/welcome/) is seeking to support applications on a Research Associate positions at the French Centre National de la Recherche Scientifique (cnrs.fr) for a special position in NLP and under-resourced languages : https://gestionoffres.dsi.cnrs.fr/fo/offres/detail-fr.php?&offre_id=18. CNRS Research Associate positions are full-time permanent positions intended for candidates in their early career. Applicants must hold a PhD by the application deadline (January 5, 2023). Knowledge of French is not required. Modyco lab has a component in Corpus-based modelling with colleagues working in NLP and linguistics. We are currently heading a funded project, ANR Autogramm, on induction of descriptive grammars from annotated corpora, involving about 40 researchers in NLP, formal linguistics, corpus linguistics, and field linguistics (https://autogramm.github.io/en/). Paris Nanterre University has a very attractive master degree in NLP (plurital.org), in collaboration with Sorbonne Nouvelle University and INALCO, and several PhD students in NLP. Although CNRS recruits researchers by way of a national competition, applicants are encouraged to select one or more research labs to which they would like to be assigned, and support is crucial for a successful application. Prospective applicants that wish to be supported by Modyco are invited to contact sylvain(a)kahane.fr as soon as possible, sending a CV and a short description of their research profile. Sylvain Kahane Professor of linguistics Head of the Corpus-based modelling team Co-head of the NLP master degree Head of the ANR Autogramm project

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Academic jobs at Leeds University UK: https://jobs.leeds.ac.uk
by Eric Atwell 12 Dec '22

12 Dec '22

Academic jobs at Leeds University UK: https://jobs.leeds.ac.uk Professor / Associate Professor of Artificial Intelligence<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1118> Grade 9 to Grade 10, closing: 23/01/2023 Head of the School of Computing<https://jobs.leeds.ac.uk/vacancy.aspx?ref=ASN-84381> Grade 9 or Grade 10, closing: 09/01/2023 Lecturers in Computer Science<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1116> Grade 8, to £51,805 p.a. closing: 09/01/2023 Lecturer in Statistics and Data Analytics<https://jobs.leeds.ac.uk/vacancy.aspx?ref=ENVFS1063> Grade 7, to £42,155 p.a., closing 04/01/2023 Teaching Assistants in Computer Science<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1115> Grade 6, to £34,308 p.a.,closing: 09/01/2023 Professor / Associate Professor of Distributed Systems<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1119> Grade 9 to Grade 10, closing: 23/01/2023 Professor / Associate Professor of Theoretical Computer Science<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1120> Grade 9 to Grade 10, closing: 23/01/2023 Professor / Associate Professor of Visualisation or Computer Graphics<https://jobs.leeds.ac.uk/vacancy.aspx?ref=EPSCP1117> Grade 9 to Grade 10, closing: 23/01/2023 Academic Lead, Digital Creativity and Cultures Hub<https://jobs.leeds.ac.uk/vacancy.aspx?ref=AHCLH1005> Grade 8 to Grade 10. to £78,266 p.a. closing: 13/01/2023 Eric Atwell, Professor of Artificial Intelligence for Language Turing Fellow; LITE Fellow, "AI for Decolonising Reading Lists" (2 days/week) Lecturer COMP2121 COMP5840 XJCO2121 OCOM5204 OCOM5300 LISS1031 Director of Postgraduate Research Studies; online MSc AI programme leader School of Computing, Uni of LEEDS, LS2 9JT, UK http://www.comp.leeds.ac.uk/eric https://www.edubots.eu<https://www.edubots.eu/>

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Survey on a Corpus of Multimodality in Online Communication in World Englishes
by Robert Fuchs 10 Dec '22

10 Dec '22

Dear friends and colleagues, As the Covid pandemic has further entrenched online communication in people's daily lives around the world, we are planning to embark on a research project on multimodality in online communication across world Englishes (the data we collect will subsequently be published as a corpus). A multimodal analysis could potentially cover a wide variety of levels of analysis, not all of which might be equally important. We would be grateful if you could share your views on this question in the following, brief survey, which only takes 5 - 10 minutes. https://bit.ly/3iPXgrc The survey will be open until December 17. Thank you! Guyanne Wilson, University College London, United Kingdom Robert Fuchs, University of Hamburg, Germany -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs | https://sites.google.com/view/rflinguistics/ Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/

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