February 2023 - Corpora

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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[Fully-Funded PhD Position] in Multimodal Meeting Summarization: Deadline 27 Feb
by muskaan singh 18 Feb '23

18 Feb '23

We are inviting applications for a fully funded Ph.D. position in Multimodal Meeting Summarization at the Cognitive Analytics Research Lab (CARL) of the Intelligent Systems Research Centre from the School of Computing, Engineering, and Intelligent Systems, Ulster University. The project aims to generate automatic minutes of the meeting for multi-party dialogues using textual, audio, visual, and cognitive modalities. The position is in collaboration with Dr. Muskaan Singh, Ulster University, and Prof.Damien Coyle, Director of The Bath Institute for the Augmented Human (University of Bath) and a UKRI Turing AI Acceleration Fellow 2021-25. *The deadline is due by Monday, 27 February 2023, 4.00 PM UK time. The interviews are scheduled for 18 April with an expected starting date of 18 September.* he applicants should hold a masters (or be close to completion) or have equivalent work experience and a publication record. Solid knowledge of Machine Learning models applied to Natural Language Processing and Deep Learning is required, as is excellent programming skills in Python and deep learning frameworks (esp. Keras, TensorFlow or PyTorch). The scholarship will cover tuition fees at the Home rate and a maintenance allowance of £18,000 (TBC) per annum for three years (subject to satisfactory academic performance). This scholarship also comes with £900 per annum for three years as a research training support grant (RTSG) allocation to help support the Ph.D. researcher. For more information and application, please visit, https://www.ulster.ac.uk/doctoralcollege/find-a-phd/1455768 Please feel free to get in touch with any queries. *Dr. Muskaan Singh* Lecturer (~Assistant Professor) in Data Analytics Cognitive Analytics Research Lab (CARL), Intelligent Systems Research Centre School of Computing, Engineering and Intelligent Systems *Room MS138 | Magee Campus | Londonderry | BT48 7JL * *E:* m.singh(a)ulster.ac.uk *W:* https://pure.ulster.ac.uk/en/persons/muskaan-singh

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CFP-LT-EDI-2023 at RANLP 2023
by Bharathi Raja Asoka Chakravarthi 18 Feb '23

18 Feb '23

Apologies for cross posting Third Workshop on Language Technology for Equality, Diversity and Inclusion (LT-EDI-2023) at RANLP 2023 Link: https://sites.google.com/view/lt-edi-2023/ Equality, Diversity and Inclusion (EDI) is an important agenda across every field [1] throughout the world. Language as a major part of communication should be inclusive and treat everyone with equality. Today’s large internet community uses language technology (LT) and has a direct impact on people across the globe. EDI is crucial to ensure everyone is valued and included, so it is necessary to build LT that serves this purpose. Recent results have shown that big data and deep learning are entrenching existing biases and that some algorithms are even naturally biased due to problems such as ‘regression to the mode’. Our focus is on creating LT that will be more inclusive of gender [2], racial [3], sexual orientation [4], persons with disability [5,6]. The workshop will focus on creating speech and language technology to address EDI not only in English, but also in less resourced languages. The broader objective of LT-EDI-2023 will be - To investigate challenges related to speech and language resource creation for EDI. - To promote research in inclusive LT. - To adopt and adapt appropriate LT models to suit EDI. - To provide opportunities for researchers from the LT community around the world to collaborate with other researchers to identify and propose possible solutions for the challenges of EDI. Our workshop theme focuses on being more inclusive and providing a platform for researchers to create LT of a more inclusive nature. We hope that through these engagements we can develop LT tools to be more inclusive of everyone, including marginalized people. Call for Papers: Our main theme in this workshop is equality, diversity, and inclusivity in LT. We invite researchers and practitioners to submit papers reporting on these issues and datasets to avoid these issues. We also encourage qualitative studies related to these issues and how to avoid them. LT-EDI-2023 welcomes theoretical and practical paper submissions on any languages that contribute to research in Equality, Diversity and Inclusion. We will particularly encourage studies that address either practical application or improving resources. Topics of interest include, but are not limited to: - Data set development to include EDI - Gender inclusivity in LT - LGBTQ+ inclusivity in LT - Racial inclusivity in LT - Persons with disability inclusivity in LT - Speech and language recognition for minority groups - Unconscious bias and how to avoid them in natural language processing, machine learning and other LT technologies. - Tackling rumors and fake news about gender, racial, and LGBTQ+ minorities. - Tackling discrimination against gender, racial, and LGBTQ+ minorities. Important dates (will be changed according to guidelines from RANLP) - First call for workshop papers: 15 February 2023 - Second call for workshop papers: 15 March 2023 - Workshop paper due: 10 July 2023 - Notification of acceptance: 5 August 2023 - Camera-ready papers due: 20 August 2023 - Workshop dates: 7 September 2023 Submission: Papers must describe original, completed/ in progress and unpublished work. Each submission will be reviewed by three program committee members. Accepted papers will be given up to 9 pages (for full papers), 5 pages (for short papers and posters) in the workshop proceedings, and will be presented as oral paper or poster. Papers should be formatted according to the RANLP 2023 style-sheet, which is provided on the website. Please submit papers in PDF format. We are seeking submissions under the following category - Full papers (8 pages) - Short papers (work in progress, innovative ideas/proposals, research proposal of students: : 4 page) - Demo (of working online/standalone systems: : 4 page) Both long and short papers must follow the RANLP 2023 two-column format, using the supplied official style files. The templates can be downloaded in Style Files and Formatting. Please do not modify these style files, nor should you use templates designed for other conferences. Submissions that do not conform to the required styles, including paper size, margin width, and font size restrictions, will be rejected without review. Verification To guarantee conformance to publication standards, we will be using the ACL Pubcheck tool (https://github.com/acl-org/aclpubcheck). The PDFs of camera-ready papers must be run through this tool prior to their final submission, and we recommend its use also at submission time. Organisers - Bharathi Raja Chakravarthi, Assistant Professor, School of Computer Science, University of Galway, Ireland. - B. Bharathi, Associate Professor, Department of CSE, SSN College of Engineering, Chennai, India - Josephine Griffith, Assistant Professor, School of Computer Science, University of Galway, Ireland. - Kalika Bali, Researcher, Microsoft Research India - Paul Buitelaar, Professor in Computer Science and Deputy Director of the Data Science Institute at the University of Galway, Ireland, co-PI of the Insight SFI Research Centre for Data Analytics, and Co-Director of the SFI Centre for Research Training in AI. References [1] https://aim.gov.ie/wp-content/uploads/2016/06/Diversity-Equality-and-Inclus… [2]Kiritchenko, S. and Mohammad, S., 2018, June. Examining Gender and Race Bias in Two Hundred Sentiment Analysis Systems. In Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics (pp. 43-53). [3]Sap, M., Card, D., Gabriel, S., Choi, Y. and Smith, N.A., 2019, July. The risk of racial bias in hate speech detection. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (pp. 1668-1678). [4]Wu, H.H. and Hsieh, S.K., 2017, November. Exploring Lavender Tongue from Social Media Texts [In Chinese]. In Proceedings of the 29th Conference on Computational Linguistics and Speech Processing (ROCLING 2017) (pp. 68-80). [5]Hutchinson, Ben, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. "Unintended machine learning biases as social barriers for persons with disabilities." ACM SIGACCESS Accessibility and Computing 125 (2020): 1-1. [6]Hutchinson, Ben, Vinodkumar Prabhakaran, Emily Denton, Kellie Webster, Yu Zhong, and Stephen Denuyl. Social Biases in NLP Models as Barriers for Persons with Disabilities, Proceedings of ACL 2020, ACL with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie

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SIGTYP 2023: Deadline extension till February 22
by Kat Vylomova 18 Feb '23

18 Feb '23

We are inviting your submissions to the 5th Workshop on Research in Computational Linguistic Typology and Multilingual NLP (SIGTYP 2023) which will be held at EACL 2023 (May 5 or 6, 2023 Dubrovnik, Croatia). The extended submission deadline is **February 22**. Submission link: https://openreview.net/group?id=eacl.org/EACL/2023/Workshop/SIGTYP WORKSHOP DESCRIPTION The aim of the 5th edition of SIGTYP workshop is to act as a platform and a forum for the exchange of information between typology-related research, multilingual NLP, and other research areas that can lead to the development of truly multilingual NLP methods. The workshop is specifically aimed at raising awareness of linguistic typology and its potential in supporting and widening the global reach of multilingual NLP, as well as at introducing computational approaches to linguistic typology. It will foster research and discussion on open problems, not only within the active community working on cross- and multilingual NLP but also inviting input from leading researchers in linguistic typology. In 2023, we would like to continue following this direction of research with a special focus on bringing technology to foster documentation of under-described languages. SIGTYP is the first dedicated venue for typology-related research and its integration in multilingual NLP. Appropriate topics include (but are not limited to) the following as they relate to the areas of the workshop: -- Integration of typological features in language transfer and joint multilingual learning. In addition to established techniques such as “selective sharing”, are there alternative ways to encoding heterogeneous external knowledge in machine learning algorithms? -- Development of unified taxonomy and resources. Building universal databases and models to facilitate understanding and processing of diverse languages. -- Automatic inference of typological features. The pros and cons of existing techniques (e.g. heuristics derived from morphosyntactic annotation, propagation from features of other languages, supervised Bayesian and neural models) and discussion on emerging ones. -- Typology and interpretability. The use of typological knowledge for interpretation of hidden representations of multilingual neural models, multilingual data generation and selection, and typological annotation of texts. -- Improvement and completion of typological databases. Combining linguistic knowledge and automatic data-driven methods towards the joint goal of improving the knowledge on cross-linguistic variation and universals. -- Linguistic diversity and universals. Challenges of cross-lingual annotation. Which linguistic phenomena or categories should be considered universal? How should they be annotated? -- Bringing technology to document under-described languages. Improving model performance and documentation of under-resourced languages using typological databases, multilingual models and data from high-resource languages. -- Cognate and Derivative Detection for Low-Resourced Languages. This year’s edition will include a shared task: “Cognate and Derivative Detection for Low-Resourced Languages”; more details can be found here: https://github.com/sigtyp/ST2023. IMPORTANT DATES (all deadlines are 23:59 AoE) — February 22, 2023: Paper submission deadline — March 13, 2023: Notification of acceptance — March 27, 2023: Camera-ready deadline — May 5 or 6, 2023: Workshop SUBMISSIONS We invite both extended abstract submissions (non-archival) and general paper submissions (archival). The accepted submissions will be presented at the workshop, providing new insights and ideas. Extended abstracts should describe already published work or work in progress and should not exceed two (2) pages. This way, we will not discourage researchers from preferring main conference proceedings, at the same time ensuring that interesting and thought-provoking research is presented at the workshop. For general (archival) submissions we accept both long and short papers. Short papers should not exceed four (4) pages, long papers should not exceed eight (8) pages papers. Unlimited additional pages are allowed for the references section in all submission types. Submissions should be anonymous, without authors or an acknowledgement section; self-citations should appear in third person. Submissions must follow the EACL 2023 stylesheet https://2023.eacl.org/calls/styles/; both long and short paper submissions must follow the two-column format of ACL proceedings. All submissions must be in PDF format. These should be submitted via OpenReview: https://openreview.net/group?id=eacl.org/EACL/2023/Workshop/SIGTYP. PAPERS FROM EACL FINDINGS We are accepting all papers from EACL Findings that are **relevant** to SIGTYP. Contact us via sigtyp(a)gmail.com if you would like to present your EACL Findings paper at SIGTYP 2023! ORGANIZING COMMITTEE Koustava Goswami, Alexey Sorokin, Ritesh Kumar, Andrey Shcherbakov, Edoardo M. Ponti, Saliha Muradoğlu, Lisa Beinborn, Ryan Cotterell, Kat Vylomova ANTI-HARASSMENT POLICY The workshop follows the ACL anti-harassment policy: https://www.aclweb.org/adminwiki/index.php?title=Anti-Harassment_Policy. CONTACT For any inquiries regarding the workshop, please send an email to the Organizing Committee at sigtyp(a)gmail.com

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2024

2023

2022

Corpora February 2023