- Corpora - ELRA lists

[Cfp] Contemporary Trends in English-Language Studies
by Leszek Szymański 21 Feb '23

21 Feb '23

Dear Colleagues, The Institute of Modern Languages at the University of Zielona Góra, Poland, announces a conference titled "Contemporary Trends in English-Language Studies". This year's edition will be held entirely online on May 18-19. More information is available at: https://sites.google.com/view/ctiels/ Thank you! Leszek

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Call for Participation: 4th Slav-NER Shared Task - Named EntitiesinSlavic Languages
by Roman Yangarber 20 Feb '23

20 Feb '23

* Call for Participation * ** ** * The 4thSlav-NER Shared Task: Named Entities in Slavic Languages — Recognition, Normalization, Classification and Cross-Lingual Linking ** co-located with the Slav-NLP <http://bsnlp.cs.helsinki.fi/>Workshop, EACL 2023 http://bsnlp.cs.helsinki.fi/shared-task.html <http://bsnlp.cs.helsinki.fi/shared-task.html> TASK DESCRIPTION: The 4thSlav-NER Shared Task focuses on Named Entities in Slavic languages. Due to rich inflection, free word order, derivation, and other phenomena common to the Slavic languages, work on Named Entities poses important challenges. Fostering research & development on the problems of Named Entities — detecting names, lemmatization (normalization), classification, and cross-lingual matching — is crucial for information access and wider use of NLP in Slavic languages. The 4thSlav-NER Shared Task covers three languages: * Czech, * Polish, * Russian. ** with five types of named entities: ** * persons, * locations, * organizations, * *products* * ***events,*. ** For information about training and test data, and *guidelines* please see Shared Task Home Page. <http://bsnlp.cs.helsinki.fi/shared-task.html> ** IMPORTANT: Participants are *NOT* required to perform all tasks or for all languages. For example, a monolingual entry, without lemmatization, can participate. The Shared Task focuses on cross-lingual extraction of named entities — the systems should recognize, classify, and extract the names in a document. Detecting the positionof every name mention is NOT required. Name mentions should be lemmatized, and mentions referring to the same real-world object should be linked across documents and languages. The text collections consist of documents retrieved from the Web, each set about a major /entity or event/. The corpus was collected by crawling the Web and parsing the HTML documents. For background, see the1^st edition (2017) <http://bsnlp-2017.cs.helsinki.fi/shared_task.html>, 2^nd edition (2019) <http://bsnlp.cs.helsinki.fi/bsnlp-2019/shared_task.html>and the3^rd edition (2021) <http://bsnlp.cs.helsinki.fi/shared-task.html>of this shared task. Participation Participating teams should register via email to: bsnlp(a)cs.helsinki.fiwith the following information: * name of team, * team members, * contact person and *email.* **** Important Dates ** * Shared task announcement: 11 January 2023 ⇒ *Training Data Available* ! * Registration deadline: *06 March 2023* * Release of *Test**Data* to registered participants: 07 March2023 * Submission of system responses: 09 March 2023 * Results announced to participants: 11March 2023 * Submission of shared task papers: 13 March 2023 * Camera-ready shared task papers: 03 April 2023 * * * -- Roman Yangarber Associate Professor, University of Helsinki Digital Humanities INEQ: Helsinki Inequality Initiative <https://helsinki.fi/en/ineq-helsinki-inequality-initiative> — Linguistic Inequalities and Translation Technologies ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ e-Learning & language learninghelsinki.fi/revita <https://www.helsinki.fi/revita> Language Learning Labhelsinki.fi/language-learning-lab <https://www.helsinki.fi/language-learning-lab> Unioninkatu 40, Metsätalo A214 mobile: +358 50 41 51 71 3 ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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Journal of Language and Aging Research: New journal announcement
by Annette Gerstenberg 20 Feb '23

20 Feb '23

Oh my, don’t talk about aging! — Journal of Language and Aging Research open for submissions What one of our participants said (in French: “ah là là, parlez pas de vieillir,” Ms. Moreau, 85 years old) holds for much of linguistic research: topics addressing the relation of old age and language receive little attention. The newly founded open-access Journal of Language and Aging Research is the first journal to deal with the intersection of two things that are part of our constant, everyday experience: language and aging. The idea for the journal grew out of the CLARe (Corpora for Language and Aging Research) conference series that began in 2014, and which have shown the fruitfulness of sharing research and ideas on this topic in a common venue. Supported by an advisory board of outstanding representatives of a wide range of linguistic fields dealing with related topics, its three editors have developed the journal to provide such a platform. Our website is online <https://deref-1und1-02.de/mail/client/oDQEoGA2o6o/dereferrer/?redirectUrl=h…>, and the first issue will be published in the spring of 2023. Starting now, we are open for submissions <https://deref-1und1-02.de/mail/client/t6wnsjl40iM/dereferrer/?redirectUrl=h…>!

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2nd CfP: Workshop on Modelling Translation at NoDaLiDa 2023
by Maria Kunilovskaya 20 Feb '23

20 Feb '23

**Second Workshop on Modelling Translation: Translatology in the Digital Age** (MoTra-2023) Second Call for Papers Submissions deadline: March 20, 2023 Workshop Day: May 22, 2023 Location: Tórshavn, Faroe Islands (hybrid format) *Submissions page: https://openreview.net/group?id=NoDaLiDa/2023/Workshop/MoTra* Website: https://sfb1102.uni-saarland.de/news/motra23-workshop-call-for-papers/ **Topic and Goals of the Workshop** MoTra-2023 aims to promote interdisciplinary and computational approaches to human translation, offering an opportunity for researchers in empirical translation studies, computational and corpus linguistics, NLP, cognitive science to exchange knowledge and methodological expertise in modelling various aspects of translation. Along with traditional research questions related to translationese, variation in translation, translation quality assessment, we encourage submissions on interpreting studies, multimodal translation, modelling translational strategies from cognitive, semantic and pragmatic perspectives as well as contributions presenting language resources for translation studies and translation-related software. We are particularly interested in forging a link between translation studies and machine translation and invite research at the interface of these fields. This event seeks to follow up on the investigations reported by the previous edition of the workshop. The proceedings of MoTra-2021 covered a wide range of topics in translatology enhancing the understanding of *translationese*, i.e linguistic specificity of translations setting them apart from non-translations in the target language and exploring *variation in human translation*, including in contrast with machine translation (https://aclanthology.org/volumes/2021.motra-1/). The contributions described computational and NLP methods to model translation varieties (student/professional, human/machine, written/spoken) and translation processes/solutions, especially around particular items (translation problem triggers, discourse markers, adjectives, polarity items), and reported the results of manual linguistic analysis of modelling outcomes. **The workshop invites submissions on relevant research topics, including but not limited to:** - Translation and translationese detection, source language identification and quantitative analysis of translations - NLP approaches to translationese - Analysis and interpretation of variation in translation according to context (domain, register, genre), mode and medium (spoken, written, audio-visual), translator (professional, novice, crowd-sourced), recipient (simplified language) etc. - Intrinsic and extrinsic evaluation of translation models - Research at the interface between translation studies and machine translation - Contextualized and multimodal translation analysis - Computational semantics and pragmatics applied to translation studies - Sentiment and emotion analysis of translations - Human translation quality assessment and annotation - Computational models of translation types such as communicative translation, semantic translation, transcreation, intralingual translation, etc. - New corpora for translation studies, such as literary translation corpora, interpreting transcript datasets, learner translator corpora, etc. - Translation, post-editing, (error) annotation software - Cognitive modelling of translation processes, including cognitive load measurements and communication optimisation in translation **Invited Speakers** Maarit Koponen (University of Eastern Finland) **Program Committee** Silvia Bernardini (University of Bologna) Mario Bisiada (Universitat Pompeu Fabra) Yuri Bizzoni (Aarhus University) Lynne Bowker (University of Ottawa) Michael Carl (Kent State University) Oliver Czulo (Leipzig University) Cristina España i Bonet (DFKI GmbH) Alex Fraser (LMU Munich) Alina Karakanta (University of Trento) Stella Neumann (RWTH Aachen University) Antoni Oliver (Open University of Catanlunya) Maja Popovic (ADAPT Centre, DCU) Moritz Schaeffer (University of Mainz) Tatiana Serbina (RWTH Aachen University) Serge Sharoff (University of Leeds) Antonio Toral (University of Gröningen) **Organizers’ Contacts** Maria Kunilovskaya (maria.kunilovskaya(a)uni-saarland.de) Ekaterina Lapshinova-Koltunski (lapshinovakoltun(a)uni-hildesheim.de) Elke Teich (e.teich(a)mx.uni-saarland.de) **Important Dates** - Monday, March 20, 2023: Workshop paper submission deadline - Monday, April 17, 2023: Notification of acceptance - Monday, May 1, 2023: Camera-ready workshop papers due - Monday, May 22, 2023: The workshop day **Paper Submission** We invite submissions of three kinds: - long papers on substantial, original, and unpublished research, including empirical evaluation of results, up to 8 pages without references; - short papers on smaller, focused contributions, negative results, surveys, or opinion pieces, up to 4 pages without references; and - demonstration papers on software, systems, interfaces, infrastructures, language resources, data collections, or annotations, up to 4 pages without references. Papers accepted for presentation at the conference will appear in the NoDaLiDa 2023 proceedings, published as part of the NEALT Proceedings Series and in the ACL Anthology. Accepted papers will appear on the workshop website (https://sfb1102.uni-saarland.de/news/motra23-workshop-call-for-papers/), too. All submissions should be anonymous and should follow the official Nodalida 2023 LaTeX template (see https://www.nodalida2023.fo/call-for-papers/). The ACL author guidelines and anonymity rules apply. Papers that have been or will be submitted to other venues must indicate this at submission time, and must be withdrawn from the other venues if accepted to NoDALiDa 2023. At least one author of each accepted paper must register to attend the workshop. The submissions are planned through OpenReview. Submissions page: https://openreview.net/group?id=NoDaLiDa/2023/Workshop/MoTra To inquire about the submission and reviewing process or generally the workshop’s scientific program, please email: Maria Kunilovskaya maria.kunilovskaya(a)uni-saarland.de The workshop will be held in a hybrid format in conjunction with the NoDaLiDa Conference (https://www.nodalida2023.fo/) in Tórshavn, Faroe Islands.

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Tenure-track Assistant Professor or Associate Professor in computational cognitive modelling and natural language processing - closing date for applications is 23:59 CET, 20 March 2023
by Costanza Navarretta 20 Feb '23

20 Feb '23

*** With apologies for multiple postings *** Tenure-track Assistant Professor or Associate Professor in computational cognitive modelling and natural language processing The Department of Nordic Studies and Linguistics, Faculty of Humanities, University of Copenhagen (UCPH), Denmark, invites applications for a tenure-track assistant/associate professorship in computational cognitive modelling and natural language processing to be filled by August 1, 2023 or as soon as possible thereafter. Job content The successful candidate will engage in cutting-edge research in computational cognitive modelling in collaboration with the CST researchers and is expected to contribute actively to the Centre's research environment, see also: Research - University of Copenhagen (ku.dk)<https://cst.ku.dk/english/research/> The ideal candidate will have expertise in working with neurocognitive methods such as eye-tracking or EEG; they will have worked with computational modelling, preferably of language phenomena; they will have active knowledge of machine learning and deep modelling techniques. The candidate will also be expected to strengthen the Centre's project portfolio by applying for external funding, in particular to support projects at the interface between computational cognitive modelling and NLP. The candidate will also contribute with teaching to the MSc in IT and Cognition, more specifically to the Cognitive Science courses, as well as supervise master's dissertations. More detail on the programme as a whole and the individual study units are provided at: Master of Science (MSc) in IT and Cognition - University of Copenhagen (ku.dk)<https://studies.ku.dk/masters/it-and-cognition/> The closing date for applications is 23:59 CET, 20 March 2023 Applications or supplementary material received thereafter will not be considered. More information about the qualification requirements and the application procedure can be found on the following link: https://jobportal.ku.dk/tenure-track/?show=158556 Costanza Navarretta PhD, senior researcher/assoc.professor Centre for Language Technology Department of Nordic Studies and Linguistics University of Copenhagen DIR +45 35329079 costanza(a)hum.ku.dk<mailto:costanza@hum.ku.dk>

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PostDoc / PhD positions in Legal Tech at FAU Erlangen-Nürnberg [deadline̵: 26 Feb]
by Stephanie Evert 20 Feb '23

20 Feb '23

We are looking for PostDoc / Doctoral Researchers (100% or 65% TV-L E13) duration: up to 3 years for research projects in the area of Legal Tech. We are interested in different profiles with background in computational linguistics, law, corpus linguistics, digital humanities, or possibly computer science / data science. Good knowledge of German is required. Application deadline: 26 Feb 2023 Full consideration will be given to all applications received by the deadline, but positions are open for further applications until filled. If you want to apply but need a few extra days to prepare your dossier, please get in touch with me. Full details in German here: https://www.jobs.fau.de/jobs/wissenschaftlichen-mitarbeiterin-m-w-d-im-bere… https://www.jobs.fau.de/jobs/wissenschaftliche-mitarbeiterinnen-m-w-d-im-be… Looking forward to your application! Stephanie Evert

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Call for papers - Natural Language Processing, Text Mining and Applications (PLN-TeMA'23) Track of EPIA'23
by Pablo Gamallo 20 Feb '23

20 Feb '23

Call for papers - Natural Language Processing, Text Mining and Applications (PLN-TeMA'23) Track of EPIA'23 Important dates: Paper submission deadline April 16, 2023 Notification of paper acceptance May 9, 2023 Camera-ready papers deadline June 15, 2023 Conference dates September 5-8, 2023 NLP-TEMA’23 will be held at the 22th Portuguese Conference on Artificial Intelligence (EPIA 2023) taking place at Horta, Faial island, Azores, between September 5th-8th 2023. This track is organized under the auspices of the Portuguese Association for Artificial Intelligence (APPIA), and part of the EPIA 2023 Conference on Artificial Intelligence, URL: https://epia2023.inesctec.pt/ This announcement contains the following: [1] Track description; [2] Topics of interest; [3] Important dates; [4] Paper submission; [5] Track fees; [6] Organizing Committee; [7] Program Committee and [8] Contacts. [1] Track Description The Track of Natural Language Processing, Text Mining and Applications (NLP-TeMA 2023) is a forum for researchers working in Human Language Technologies, i.e. Natural Language Processing (NLP), Computational Linguistics (CL), Natural Language Engineering (NLE), Text Mining (TM), Information Retrieval (IR), and related areas. A huge amount of information is openly published every day, on many different topics and written in natural language, thus offering new insights and many opportunities for innovative applications of Human Language Technologies. Following advances in AI sub-fields such as NLP, Machine Learning (ML) and Deep Learning (DL), NLP and TM are now even more valuable for bridging the gap between language theories and effective use of natural language contents, for harnessing the power of semi-structured and unstructured data, and to enable important applications in real-world heterogeneous environments. Both hidden and new knowledge can be discovered by using NLP and TM methods, at multiple levels and in multiple dimensions, and often with high commercial value. Authors are invited to submit their papers on any of the issues identified in section [2]. Submitted papers will be subject to a double-blind review process and will be peer-reviewed by at least three members of the track Program Committee. It is the responsibility of the authors to remove names and affiliations from the submitted papers, and to take reasonable care to assure anonymity during the review process. Accepted papers will be included in the conference proceedings (a volume of Springer’s LNAI-Lecture Notes in Artificial Intelligence), provided that at least one author is registered in EPIA 2023 by the early registration deadline. EPIA 2023 proceedings are indexed in Thomson Reuters ISI Web of Science, Scopus, DBLP and Google Scholar. Each accepted paper must be presented by one of the authors in a track session. The conference will grant the following awards: * Best Paper Award, for the best research paper presented at the conference * Best Student Paper Award, for the best research paper presented at the conference where the first author is a student [2] Topics of Interest Natural Language Processing • Language and Cognitive Modeling • Sentence-level Semantics and Text Inference • Language Resources: Acquisition and Usage. • Entailment and Paraphrase Recognition • Entity Recognition and Word Sense Disambiguation • Distributional Models and Semantics • Mathematical Properties of Language • Tagging, Chunking and Parsing • Morphology and Word Segmentation • Natural Language Generation • Discourse and Pragmatics • NLP for Low-Resource Languages Text Mining and Applications • Text Clustering, Classification and Summarization • Sentiment Analysis and Argument Mining • Computational Social Science • Multi-Word Units • Machine Learning for NLP and Text Mining • Spatio-Temporal and Big Text Mining • Cross-Lingual Approaches • Algorithms and Data Structures for Text Mining • Information Retrieval and Information Extraction • Question-Answering and Dialogue Systems • Text-Based Prediction and Forecasting • Web Content Annotation • Health/Biomedical/Legal and other Text Mining Applications [3] Important dates Paper submission deadline April 16, 2023 Notification of paper acceptance May 9, 2023 Camera-ready papers deadline June 15, 2023 Conference dates September 5-8, 2023 [4] Paper submission Submissions must be full technical papers on substantial, original, and previously unpublished research. Papers can have a maximum length of 12 pages. All papers should be prepared according to the formatting instructions of Springer LNCS format and submitted in PDF format through the EPIA 2023 EasyChair submission page https://easychair.org/my/conference?conf=epia2023. For the preparation of their papers, authors should consult Springer’s authors’ guidelines and use their proceedings templates, either for LaTeX or for Word. Springer encourages authors to include their ORCIDs in their papers. In addition, the corresponding author of each paper, acting on behalf of all of the authors of that paper, must complete and sign a Consent-to-Publish form. The corresponding author signing the copyright form should match the corresponding author marked on the paper. Once the files have been sent to Springer, changes relating to the authorship of the papers cannot be made. [5] Track Fees: Track participants must register at the main EPIA 2023 conference. [6] Organizing Committee: Joaquim Silva, jfs(a)fct.unl.pt, DI – FCT/UNL, Quinta da Torre, 2829-516 Caparica, Portugal (Contact person). Pablo Gamallo, Pablo.gamallo(a)usc.es, Universidade de Santiago de Compostela, Praza do Obradoiro, 0, 15705 Santiago de Compostela, Spain. Paulo Quaresma, pq(a)uevora.pt, DI – Uviversidade de Évora, Largo dos Colegiais 2, 7000-645 Évora, Portugal. Irene Rodrigues, ipr(a)uevora.pt, DI – Uviversidade de Évora, Largo dos Colegiais 2, 7000-645 Évora, Portugal Hugo Gonçalo Oliveira, hroliv(a)dei.uc.pt – Universidade de Coimbra, Portugal, Polo II, Pinhal de Marrocos, 3030-290 Coimbra [7] Program Committee: Adam Jatowt – Universit of Kioto, Japan Alverto Simões – 2Ai Lab – IPCA Alexandre Rademaker – IBM / FGV, Brazil Antoine Doucet – University of Caen, France Altigran Silva – Universidade Federal do Amazonas, Brazil António Branco – Universidade de Lisboa, Portugal Antoine Doucet – University of Caen, France Béatrice Daille – University of Nantes, France Bruno Martins – Instituto Superior Técnico – Universidade de Lisboa, Portugal Fernando Batista – Instituto Universitário de Lisboa, Portugal Gaël Dias – University of Caen Basse-Normandie Hugo Gonçalo Oliveira – Universidade de Coimbra, Portugal Irene Rodrigues – Universidade de Évora, Portugal Jesús Vilares – University of A Coruña, Spain Joaquim Ferreira da Silva – Faculdade de Ciências e Tecnologia – Universidade Nova de Lisboa Luísa Coheur – IST/INESC–ID Lisboa Manuel Vilares Ferro – University of Vigo, Spain Marcos Garcia – Universidade de Santiago de Compostela, Galiza/Spain Mário Silva – Instituto Superior Técnico – Universidade de Lisboa, Portugal Nuno Marques – Universidade Nova de Lisboa, Portugal Pablo Gamallo – Universidade de Santiago de Compostela, Galiza/Spain Paulo Quaresma – Universidade de Évora, Portugal Pavel Brazdil – University of Porto, Portugal Sophia Ananiadou –University of Manchester Sérgio Nunes – Faculdade de Engenharia – Universidade do Porto, Portugal [8] Contacts Joaquim Francisco Ferreira da Silva, DI/FCT/UNL, Quinta da Torre, 2829‐516, Caparica, Portugal. Tel: +351 21 294 8536 (ext. 10732) ‐ Fax: +351 21 294 8541 ‐ E‐mail: jfs [at]fct [dot] unl [dot] pt

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[CfP] Computational Memorability of Imagery - Special Session at CBMI 2023
by mihai.constantin84＠upb.ro 20 Feb '23

20 Feb '23

Computational Memorability of Imagery Special Session at CBMI 2023 20-22 September 2023 Orleans, France https://cbmi2023.org The subject of memorability has seen an influx in interest since the likelihood of images being recognized upon subsequent viewing was found to be consistent across individuals. Driven primarily by the MediaEval Media Memorability tasks which has just completed its 5th annual iteration, recent research has extended beyond static images, pivoting to the more dynamic and multi-modal medium of video memorability. The memorability of a video or an image is an abstract concept and like other features such as aesthetics and beauty, is an intrinsic feature of imagery. There are many applications for predicting image and video memorability including marketing where some part of a video advertisement should strive to be the most memorable, in education where key parts of educational content should be memorable, in other areas of content creation such as video summaries of longer events like movies or wedding photography, and in cinematography where a director may want to make some parts of a movie or TV program more, or less, memorable than the rest. For computing video memorability, researchers have used a variety of approaches including video vision transformers as well as more conventional machine learning, text features from text captions, a range of ensemble approaches, and even generating surrogate videos using stable diffusion methods. The performance of these approaches tells us that we are now close to the best performance for memorability prediction for video and for images that we could get using current techniques and that there are many research groups who can achieve such a level of performance. We believe that image and video memorability is now ready for the spotlight and for researchers to be drawn to using video memorability prediction in creative ways. We invite submissions from researchers who wish to extend their reported techniques and/or apply those techniques to real-world applications like marketing, education, or other areas of content production. We hope that the output from this special session will be a community-wide realization of the potential for video memorability prediction and uptake in research into, and applications of, the topic. The topics of the special session include, but are not limited to: ● Development and interpretation of single- or multi-modal models for Computational Memorability ● Transfer learning and transferability for Computational Memorability ● Computational Memorability applications ● Extending work from MediaEval Predicting Media Memorability task ● Cross- and multilingual aspects in Computational Memorability ● Evaluation and resources for Computational Memorability ● Computational memorability prediction based on physiological data (e.g.: EEG data) The contributions to this special session are regular short papers (only) as 4 pages, plus additional pages for the list of references. The review process is single-blind meaning authors do not have to anonymize their submissions. Important dates: Paper submission: April 12, 2023 Notification of acceptance: June 1, 2023 Camera ready paper: June 15, 2023 Conference dates: September 20-22, 2023 Organizers: ● Alba García Seco de Herrera, University of Essex (alba.garcia(a)essex.ac.uk) ● Gabi Constantin, University Politehnica of Bucharest (mihai.constantin84(a)upb.ro) ● Alan Smeaton, Dublin City University (alan.smeaton(a)dcu.ie)

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Postdoctoral Researcher in Natural Language Processing and statistical learning for Health
by Mathieu Constant 20 Feb '23

20 Feb '23

Postdoctoral Researcher in Natural Language Processing and statistical learning for Health The Université de Lorraine (France) invites applications for a postdoctoral Researcher in Natural Language Processing and statistical learning for Health. The position is attached to a new scientific project involving three research units specialized in natural language processing (Research Center for Computer Processing and Analysis of the French Language - ATILF), applied mathematics (Mathematics Research Institute - IECL) and cancer (Research Center for Automatic Control - CRAN). The main objective is to propose new methodologies and an innovative framework for the development of personalized medicine of low-grade brain tumors based on the latest advances in natural language processing and statistical learning. The research will investigate methods to automatically retrieve relevant information based on medical data about patients as well as scientific data publications. The precise research subject within this framework is open to discussion. Terms and tenure This two-year position will be based at the ATILF, Research Center for Computer Processing and Analysis of the French Language (Nancy, France). The duration can not exceed 24 months. The ATILF (https://www.atilf.fr/laboratoire/presentation-english/ <https://www.atilf.fr/laboratoire/presentation-english/>) is a research unit in (computational) linguistics, including expertise in natural language processing and terminology. Within the framework of multidisciplinary activities, the recruited researcher will be required to interact frequently with two other partner research centers of the project, the IECL and the CRAN, also located in Nancy, as well as to the neuro-oncology department of the regional hospital (CHRU) of Nancy. The target start date for the position is April-June 2023. Salary depends on experience. How to apply Applicants are requested to submit the following materials: A cover letter applying for the position Full CV and list of publications Academic transcripts (unofficial versions are fine) Applications will be considered as they arise, but not later than end of March 2023. Applications are only accepted through email. All documents must be sent to Mathieu Constant (Mathieu.Constant(a)univ-lorraine.fr <mailto:Mathieu.Constant@univ-lorraine.fr>), Marianne Clausel (marianne.clausel(a)univ-lorraine.fr <mailto:marianne.clausel@univ-lorraine.fr>) and Hélène Dumond (helene.dumond(a)univ-lorraine.fr <mailto:helene.dumond@univ-lorraine.fr>). Job location Nancy, France Requirements PhD in natural language processing, computer science, machine learning or applied mathematics (PhD from the Université de Lorraine are excluded). Skills Expert knowledge of natural language processing Good knowledge of statistical learning Good programming skills Experience in the interaction with biologists and clinicians may be a plus Working in a multidisciplinary team

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[Corpora-List]NLP4CALL 2022 First call for papers
by David Alfter 20 Feb '23

20 Feb '23

== 11th NLP4CALL, Louvain-la-Neuve, Belgium== The workshop series on Natural Language Processing (NLP) for Computer-Assisted Language Learning (NLP4CALL) is a meeting place for researchers working on the integration of Natural Language Processing and Speech Technologies in CALL systems and exploring the theoretical and methodological issues arising in this connection. The latter includes, among others, insights from Second Language Acquisition (SLA) research, on the one hand, and promote development of "Computational SLA" through setting up Second Language research infrastructure(s), on the other. The intersection of Natural Language Processing (or Language Technology / Computational Linguistics) and Speech Technology with Computer-Assisted Language Learning (CALL) brings "understanding" of language to CALL tools, thus making CALL intelligent. This fact has given the name for this area of research – Intelligent CALL, ICALL. As the definition suggests, apart from having excellent knowledge of Natural Language Processing and/or Speech Technology, ICALL researchers need good insights into second language acquisition theories and practices, as well as knowledge of second language pedagogy and didactics. This workshop invites therefore a wide range of ICALL-relevant research, including studies where NLP-enriched tools are used for testing SLA and pedagogical theories, and vice versa, where SLA theories, pedagogical practices or empirical data are modeled in ICALL tools. The NLP4CALL workshop series is aimed at bringing together competences from these areas for sharing experiences and brainstorming around the future of the field. We welcome papers: - that describe research directly aimed at ICALL; - that demonstrate actual or discuss the potential use of existing Language and Speech Technologies or resources for language learning; - that describe the ongoing development of resources and tools with potential usage in ICALL, either directly in interactive applications, or indirectly in materials, application or curriculum development, e.g. learning material generation, assessment of learner texts and responses, individualized learning solutions, provision of feedback; - that discuss challenges and/or research agenda for ICALL - that describe empirical studies on language learner data. This year a special focus is given to work done on second language vocabulary and grammar profiling, as well as the use of crowdsourcing for creating, collecting and curating data in NLP projects. We encourage paper presentations and software demonstrations describing the above-mentioned themes primarily, but not exclusively, for the Nordic languages. ==Invited speakers== This year, we have the pleasure to announce two invited talks. The first talk is by Christopher Bryant from Reverso and the University of Cambridge. The second talk is given by Marije Michel from the University of Amsterdam. ==Submission information== Authors are invited to submit long papers (8-12 pages) alternatively short papers (4-7 pages), page count not including references. We will be using the NLP4CALL workshop template for the workshop this year. The author kit, including LaTeX and Microsoft Word templates can be accessed here, alternatively on Overleaf: <https://spraakbanken.gu.se/sites/default/files/2022/NLP4CALL%20workshop%20t…> <https://spraakbanken.gu.se/sites/default/files/2022/nlp4call%20template.doc> <https://www.overleaf.com/latex/templates/nlp4call-workshop-template/qqqzqqy…> Submissions will be managed through the electronic conference management system EasyChair <https://easychair.org/conferences/?conf=nlp4call2022>. Papers must be submitted digitally through the conference management system, in PDF format. Final camera-ready versions of accepted papers will be given an additional page to address reviewer comments. Papers should describe original unpublished work or work-in-progress. Papers will be peer reviewed by at least two members of the program committee in a double-blind fashion. All accepted papers will be collected into a proceedings volume to be submitted for publication in the NEALT Proceeding Series (Linköping Electronic Conference Proceedings) and, additionally, double-published through the ACL anthology, following experiences from the previous NLP4CALL editions (<https://www.aclweb.org/anthology/venues/nlp4call/>). ==Important dates== 7 October 2022: paper submission deadline 4 November 2022: notification of acceptance 25 November 2022: camera-ready papers for publication 9 December 2022: workshop date ==Organizers== David Alfter (1,2), Elena Volodina (2), Thomas François (1), Piet Desmet (3), Frederik Cornillie (3), Arne Jönsson (4), Eveline Rennes (4) (1) CENTAL, Institute for Language and Communication, Université Catholique de Louvain, Belgium (2) Språkbanken, University of Gothenburg, Sweden (3) Itec, Department of Linguistics at KU Leuven & imec, Belgium (4) Department of Computer and Information Science, Linköping University, Sweden ==Contact== For any questions, please contact David Alfter, david.alfter(a)uclouvain.be For further information, see the workshop website <https://spraakbanken.gu.se/en/research/themes/icall/nlp4call-workshop-serie…> Follow us on Twitter @NLP4CALL <https://twitter.com/NLP4CALL/> David Alfter, PhD Post-doctoral researcher Institut Langage et communication, CENTAL Université catholique de Louvain Place Montesquieu, 3 (box L2.06.04) 1348 Louvain-la-Neuve

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2026

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