- Corpora - ELRA lists

Inquiry about Computer Vision or Deep Learning List
by awaisrwp＠yahoo.com 02 Aug '23

02 Aug '23

Dear All, I hope this message finds you well. I am currently working on a computer vision and deep learning project, and I am interested to know if there is a curated list like this one but specifically tailored for computer vision or deep learning tasks. If such a list exists, I would greatly appreciate it if you could provide me with the link to subscribe or access it. You can contact me via email if you have some suggestions ⇾ awaisrwp(a)yahoo.com. Thank you in advance for your assistance. Best regards, Regards, Ch Muhammad Awais

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Re: You have been unsubscribed from the Corpora mailing list
by Eric Atwell 02 Aug '23

02 Aug '23

I received your email, "You have been unsubscribed from the Corpora mailing list" How do I re-subscribe?? 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 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/> ________________________________ From: corpora-bounces(a)list.elra.info <corpora-bounces(a)list.elra.info> Sent: 02 August 2023 04:00 To: Eric Atwell <E.S.Atwell(a)leeds.ac.uk> Subject: You have been unsubscribed from the Corpora mailing list

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AI and CS Faculty Positions at Open University of Cyprus
by Loizos Michael 02 Aug '23

02 Aug '23

Dear colleagues, The Open University of Cyprus invites applications for the following positions in the Faculty of Pure and Applied Sciences: • One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of "Human AI Interaction". • One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of "Information Technologies in Education and Learning". More information here: https://www.ouc.ac.cy/images/files/hr/2022/%CE%A0%CF%81%CE%BF%CE%BA%CE%AE%C… Regards, Loizos

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Job vacancy: Lecturer in Spanish and Linguistics
by Charlotte Taylor 01 Aug '23

01 Aug '23

We are recruiting a Lecturer in Spanish and Linguistics at the University of Sussex. Full details: https://www.sussex.ac.uk/about/jobs/lec-span-20345 Short summary: We are seeking to appoint a Lecturer in Spanish and Linguistics (Education and Research) to contribute to teaching, research and administration in the Department of Language Studies (Modern Languages) and the Department of English Language and Linguistics. General teaching expectations include: * Contributing to teaching and module convening on the new MA in Translation Studies. * Contributing to teaching and module convening on undergraduate and postgraduate modules in English Language and Linguistics. * Contributing to teaching and module convening on Spanish language modules on the Modern Language electives and pathways. Additional responsibilities include: * Post-graduate supervision. * Contributing to the research profile of Language Studies and Linguistics. * Undertaking administrative responsibilities --- Dr Charlotte Taylor<https://profiles.sussex.ac.uk/p329327-charlotte-taylor> Senior Lecturer in English Language & Linguistics School of Media, Arts & Humanities, University of Sussex Latest article: Taylor, C. 2022. The affordances of metaphor for diachronic corpora & discourse analysis: WATER metaphors and migration. International Journal of Corpus Linguistics. [online first]<https://www.jbe-platform.com/content/journals/10.1075/ijcl.22004.tay> Books: Corpus Approaches to Discourse<https://www.routledge.com/Corpus-Approaches-to-Discourse-A-Critical-Review/…> | Absence and Silence in Discourse<https://www.palgrave.com/gp/book/9783319645797> | Patterns and Meanings in Discourse<https://benjamins.com/catalog/scl.55> | Mock Politeness in English and Italian<https://benjamins.com/catalog/pbns.267> | The Language of Persuasion in Politics<https://www.routledge.com/The-Language-of-Persuasion-in-Politics-An-Introdu…> Bibliography: Nostalgia in Discourse<https://nostalgiadiscourse.wordpress.com/home/>

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Any literature about tensors-based corpora NLP research with actual examples (and homework ;-)) you would suggest? ...
by Albretch Mueller 31 Jul '23

31 Jul '23

At times google showers you with senseless links. lbrtchx

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Two Open Positions at JMU (CAIDAS), Data Science Chair
by janna.omeliyanenko＠gmail.com 30 Jul '23

30 Jul '23

The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies. In the first position, you will build machine and deep learning improved climate models that provide a basis for the prediction of regional climate change and agricultural risk assessment, allowing agriculture to react in time by applying appropriate policies to deal with the challenge of changing climate-related conditions. This work focuses on the use and extension of state of the art deep learning architectures such as transformers to solve important downstream tasks such as increasing climate model resolution, identifying relevant climate indicators, integrating additional ecosystem information, and transfer function. The second position focuses on natural language processing and will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://bigdata-at-geo.eu/

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Two Open Positions
by janna.omeliyanenko＠gmail.com 30 Jul '23

30 Jul '23

The Data Science Chair at JMU Würzburg as a member of the Center for AI and Data Science (CAIDAS) offers two positions for doctoral researchers (m/w/d) in the area of machine learning. Both positions will work within the BigData@Geo2 project, the followup of the successful BigData@Geo project [1], that provides machine-learning-aided decision support for agricultural measures in the light of regional climate change. This includes prediction of crop yields and enabling proactive agricultural strategies. In the first position, you will build machine and deep learning improved climate models that provide a basis for the prediction of regional climate change and agricultural risk assessment, allowing agriculture to react in time by applying appropriate policies to deal with the challenge of changing climate-related conditions. This work focuses on the use and extension of state of the art deep learning architectures such as transformers to solve important downstream tasks such as increasing climate model resolution, identifying relevant climate indicators, integrating additional ecosystem information, and transfer function. The second position focuses on natural language processing and will allow you to work on data from many small companies in the form of historical yearbooks, as well as general information from local newspapers or social media discussing local climate events. Using this data, you will develop new methods for discovering climate, ecosystem and agriculturally relevant events that assist in the overarching goal of BigData@Geo2 of assessing the economic viability of agricultural decisions, such as which crops to grow in future seasons, or predicting crop yield. Payment is at the level of E13 according to the German federal wage agreement scheme (TV-L). Candidates are expected to have a strong background in computer science and mathematics, with a specialisation in machine learning and interest in the topic of one of the positions. Prior knowledge in the field of deep learning in one of the subject areas is advantageous. Please send your application (letter of motivation, curriculum vitae, academic records) at your earliest convenience, but no later than August 25th, 2023, to Prof. Dr. Andreas Hotho (dmir-jobs(a)uni-wuerzburg.de). You are welcome to contact us on the same address for additional details. [1] https://bigdata-at-geo.eu/

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10th International Conference on Behavioural and Social Computing (BESC 2023): Call for Late Breaking Results
by georgeangelos60＠gmail.com 30 Jul '23

30 Jul '23

*** Call for Late Breaking Results *** 10th International Conference on Behavioural and Social Computing (BESC 2023) October 30 - November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus http://besc-conf.org/2023/ (*** Submission Deadline: 31 August, 2023 AoE ***) The International Conference on Behavioural and Social Computing (BESC) is a major international forum that brings together academic researchers and industry practitioners from artificial intelligence, computational social sciences, natural language processing, business and marketing, and behavioural and psychological sciences to present updated research efforts and progresses on foundational and emerging interdisciplinary topics of BESC, exchange new ideas and identify future research directions. The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) and the proceedings are published by IEEE BESC 2023 invites now submissions for Late Breaking Results. The submitted papers should be of original, high-quality research addressing cutting-edge developments from all areas of behavioural and social computing. The conference aims to bring together researchers and practitioners from academia and industry to share their knowledge, experience, and perspectives on the latest trends, challenges, and opportunities in this rapidly evolving field. Topics of interest include, but are not limited to: Social Computing, Computational Social Science and Applications • Computational models of social phenomena • Social behaviour • Social network analysis • Semantic web • Collective intelligence • Security, privacy, trust in social contexts • Social recommendation • Social influence and social contagions • Quantifying offline phenomena through online data • Forecasting of social phenomena • Science and technology studies approaches to computational social science • Social media and health behaviours • Social psychology and personality • New theories, methods, and objectives in computational social science Digital Humanities • Digital media • Digital humanities • Digital games and learning • Digital footprints and privacy • Crowd dynamics • Digital arts • Digital healthcare • Activity streams and experience design • Virtual communities (e.g., open-source, multiplayer gaming, etc.) Information Management and Information Systems (IS) • Decision analytics • E-Business • Decision analytics • Computational finance • Societal impacts of IS • Human behaviour and IS • IS in healthcare • IS security and privacy • IS strategy, structure and organizational impacts • Service science and IS Natural Language Processing • Web mining and its social interpretations • Sentiment Analysis, Stylistic Analysis, and Argument Mining • Opinion mining and social media analytics • Credibility of online content • Computational Linguistics • Mining big social data • Cognitive Modelling and Psycholinguistics Behaviour and User Modelling, Privacy, and Ethics • Behaviour change • Positive technology • Personalization for individuals, groups and populations • Large scale personalization, adaptation and recommendation • Web dynamics and personalization • Privacy, perceived security and trust • Technology and Wellbeing • Ethics of computational research on human behaviour Technology Enhanced Learning (TEL) • E-Learning and M-Learning • Open and Distance Learning • User modeling and personalization in TEL • TEL in secondary and in higher education • New tools for TEL BESC 2023 will also host the following Special Sessions. Papers accepted in any of the Special Sessions will be included in the same IEEE conference proceedings with the papers accepted for the general technical program. ● Computational Social Psychology in Post Covid-19 Period ● Artificial Intelligence for Mental Health, Mental Illness, Psychiatic Diagnosis, and Prediction ● Intelligent E-Learning at Post Covid-19 Era ● Big Data and AI-Powered Decision Support Systems in Business ● Understanding the Citizen's Behavior in Cognitive Cities ● Nudges and Behavioural Computing Models for a Sustainable and Equitable Development SUBMISSION INSTRUCTIONS The paper submission system is using Easy Chair and the submission link is: https://easychair.org/conferences/?conf=besc2023 . All papers will be reviewed by the Program Committee on the basis of technical quality, relevance to BESC 2023, originality, significance and clarity. Please note: • All submissions should use IEEE two-column style. Templates are available here: https://www.ieee.org/conferences/publishing/templates.html • All papers must be submitted electronically through the paper submission system in PDF format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages) and Doctoral Symposium papers (4 pages). • The page count above excludes the references (but includes any appendices). • Paper review will be double-blind, and submissions not properly anonymized will be desk-rejected without review. • Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. • Papers must be clearly submitted in English and will be selected based on their originality, timeliness, significance, relevance, and clarity of presentation. • Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. • The use of artificial intelligence (AI)–generated text in an article shall be disclosed in the acknowledgements section of any paper submitted to an IEEE Conference or Periodical. The sections of the paper that use AI-generated text shall have a citation to the AI system used to generate the text. • All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers after presented in the conference will be selected for extension and publication in several special issues of international journals, e.g., World Wide Web Journal (Springer), Web Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing). IMPORTANT DATES • Submission of all papers in the LBR category: 31 August 2023 AoE • Notification of acceptance for submitted papers: 15 September 2023 • Camera-Ready Submission: 1 October 2023 • Author Registration: 1 October 2023 ORGANISATION Steering Committee Chair • Guandong Xu, University of Technology Sydney, Australia General Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • Ji Zhang, University of Southern Queensland, Australia Special Session Chairs • Taotao Cai, University of Southern Queensland, Australia • Ting Yu, Zhejiang Lab, China Doctoral Symposium Chair • Barbara Caci, University of Palermo, Italy Panel and Tutorial Chair • Philippe Fournier-Viger, Shenzhen University, China Proceedings Chair • Md Rafiqul Islam, University of Technology Sydney, Australia Publicity Chairs • Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore • Thanveer Shaik, University of Southern Queensland, Australia • Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India Webmaster • Shiqing Wu, University of Technology Sydney, Australia

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16th BUCC Workshop at RANLP 2023: New submission deadline July 31, 2023
by Reinhard Rapp 29 Jul '23

29 Jul '23

************************************************************** 16th Workshop on Building and Using Comparable Corpora (BUCC) with Shared Task on Multilingual Terminology Extraction from Comparable Specialized Corpora Co-located with RANLP 2023 September 7, 2023 Workshop website: https://comparable.limsi.fr/bucc2023/ Shared task website: https://comparable.limsi.fr/bucc2023/bucc2023-task.html RANLP website: http://ranlp.org/ranlp2023/ Workshop proceedings to be published in ACL Anthology Invited speaker: Sida I. Wang, Meta AI (FAIR) ************************************************************** MOTIVATION In the language engineering and the linguistics communities, research in comparable corpora has been motivated by two main reasons. In language engineering, on the one hand, it is chiefly motivated by the need to use comparable corpora as training data for statistical NLP applications such as statistical and neural machine translation or cross-lingual retrieval. In linguistics, on the other hand, comparable corpora are of interest because they enable cross-language discoveries and comparisons. It is generally accepted in both communities that comparable corpora consist of documents that are comparable in content and form in various degrees and dimensions across several languages. Parallel corpora are on the one end of this spectrum, unrelated corpora on the other. Comparable corpora have been used in a range of applications, including Information Retrieval, Machine Translation, Cross-lingual text classification, etc.? The linguistic definitions and observations related to comparable corpora can improve methods to mine such corpora for applications of statistical NLP, for example to extract parallel corpora from comparable corpora for neural MT. As such, it is of great interest to bring together builders and users of such corpora. TOPICS We solicit contributions on all topics related to comparable (and parallel) corpora, including but not limited to the following: Building Comparable Corpora: * Automatic and semi-automatic methods * Methods to mine parallel and non-parallel corpora from the web * Tools and criteria to evaluate the comparability of corpora * Parallel vs non-parallel corpora, monolingual corpora * Rare and minority languages, across language families * Multi-media/multi-modal comparable corpora Applications of comparable corpora: * Human translation * Language learning * Cross-language information retrieval & document categorization * Bilingual and multilingual projections * (Unsupervised) Machine translation * Writing assistance * Machine learning techniques using comparable corpora Mining from Comparable Corpora: * Cross-language distributional semantics, word embeddings and pre-trained multilingual transformer models * Extraction of parallel segments or paraphrases from comparable corpora * Methods to derive parallel from non-parallel corpora (e.g. to provide for low-resource languages in neural machine translation) * Extraction of bilingual and multilingual translations of single words, multi-word expressions, proper names, named entities, sentences, paraphrases etc. from comparable corpora * Induction of morphological, grammatical, and translation rules from comparable corpora * Induction of multilingual word classes from comparable corpora Comparable Corpora in the Humanities: * Comparing linguistic phenomena across languages in contrastive linguistics * Analyzing properties of translated language in translation studies * Studying language change over time in diachronic linguistics * Assigning texts to authors via authors' corpora in forensic linguistics * Comparing rhetorical features in discourse analysis * Studying cultural differences in sociolinguistics * Analyzing language universals in typological research IMPORTANT DATES July 31, 2023: Paper submission deadline (extended) August 12, 2023: Notification of acceptance August 25, 2023: Camera ready final papers September 7, 2023: Workshop date For updates see the workshop website at https://comparable.limsi.fr/bucc2023/ PRACTICAL INFORMATION Workshop registration is via the main conference registration site, see http://ranlp.org/ranlp2023/index.php/fees-registration/ The workshop proceedings will be published in the ACL Anthology. SUBMISSION GUIDELINES Please follow the style sheet and templates (for LaTeX, Overleaf and MS-Word) provided for the main conference at http://ranlp.org/ranlp2023/index.php/submissions/ Papers should be submitted as a PDF file using the START conference manager at https://softconf.com/ranlp23/BUCC/ Submissions must describe original and unpublished work and range from 4 to 8 pages plus unlimited references. Reviewing will be double blind, so the papers should not reveal the authors' identity. Accepted papers will be published in the workshop proceedings, which will be included in the ACL Anthology. Double submission policy: Parallel submission to other meetings or publications is possible but must be immediately (i.e. as soon as known to the authors) notified to the workshop organizers by e-mail. For further information and updates see the BUCC 2023 website: https://comparable.limsi.fr/bucc2023/ BUCC 2023 SHARED TASK Bilingual Term Alignment in Comparable Specialized Corpora The BUCC 2023 shared task is on multilingual terminology alignment in comparable corpora. Many research groups are working on this problem using a wide variety of approaches. However, as there is no standard way to measure the performance of the systems, the published results are not comparable and the pros and cons of the various approaches are not clear. The shared task aims at solving these problems by organizing a fair comparison of systems. This is accomplished by providing corpora and evaluation datasets for a number of language pairs and domains. Moreover, the importance of dealing with multi-word expressions in Natural Language Processing applications has been recognized for a long time. In particular, multi-word expressions pose serious challenges for machine translation systems because of their syntactic and semantic properties. Furthermore, multi-word expressions tend to be more frequent in domain-specific text, hence the need to handle them in tasks with specialized-domain corpora. Through the 2023 BUCC shared task, we seek to evaluate methods that detect pairs of terms that are translations of each other in two comparable corpora, with an emphasis on multi-word terms in specialized domains. For the schedule and further details see the shared task website at https://comparable.limsi.fr/bucc2023/bucc2023-task.html WORKSHOP ORGANIZERS * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) * Serge Sharoff (University of Leeds, United Kingdom) Contact workshop: reinhardrapp (at) gmx (dot) de Contact shared task: pz (at) lisn (dot) fr PROGRAMME COMMITTEE * Ebrahim Ansari (Institue for Advanced Studies in Basic Sciences, Iran) * Thierry Etchegoyhen (Vicomtech, Spain) * Philippe Langlais (Université de Montréal, Canada) * Yves Lepage (Waseda University, Japan) * Shervin Malmasi (Amazon, USA) * Emmanuel Morin (Université de Nantes, France) * Dragos Stefan Munteanu (RWS, USA) * Reinhard Rapp (University of Mainz and Magdeburg-Stendal University of Applied Sciences, Germany) * Nasredine Semmar (CEA LIST, Paris, France) * Serge Sharoff (University of Leeds, UK) * Richard Sproat (OGI School of Science & Technology, USA) * Tim Van de Cruys (KU Leuven, Belgium) * Pierre Zweigenbaum (Université Paris-Saclay, CNRS, LISN, Orsay, France) _______________________________________________ GSCL-Mitglieder mailing list GSCL-Mitglieder(a)lists.ids-mannheim.de https://lists.ids-mannheim.de/mailman/listinfo/gscl-mitglieder

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BioREd Track @ BioCreative VIII Challenge and Workshop (Call for Participation)
by Islamaj, Rezarta (NIH/NLM/NCBI) [E] 28 Jul '23

28 Jul '23

[apologies for cross-posting] BioRED track @ BioCreative VIII Challenge and Workshop Where, When: The BioCreative VIII workshop<BioCreative%20VIII%20workshop> will run with AMIA 2023, November 11-15, 2023, In New Orleans, LA. BioCreative VIII Track 1: BioRED (Biomedical Relation Extraction Dataset) Track. (Rezarta Islamaj and Zhiyong Lu) This track aims to foster the development of systems that automatically extract biomedical relations in journal articles, and the final resource -- freely available to the community -- will consist of 1000 MEDLINE articles fully annotated with biological and medically relevant entities, biomedical relations between them, and the novelty of the relation (whether the relation is a key point of the article versus background knowledge that can be found elsewhere). The participants will use the training data (600 articles) to design and develop their NLP systems to extract asserted relationships from free text and are encouraged to classify relations that are novel findings. In the BioCreative setting we will enrich the BioRED training dataset with 400 recently published MEDLINE articles fully annotated, bringing this valuable resource to 1000 articles. This track serves as a continuation of previous BioCreative Workshops that addressed the individual extraction of bio entities and/or specific relations such as disease-gene, protein-protein, or chemical-chemical, in biomedical articles. In contrast from previous challenges, this track calls for the extraction of all semantic relations expressed in the article and their novelty factor. Participation: Teams can participate in one or more of these tracks. Team registration will continue until final commitment is requested by the individual tracks. To register a team go to the Registration form<https://urldefense.com/v3/__https:/forms.gle/cwEPevGPjrjm687z5__;!!KOmnBZxC…>. If you have restrictions accessing Google forms please send e-mail to BiocreativeChallenge(a)gmail.com<mailto:BiocreativeChallenge@gmail.com> Key dates: * Test data (only title/abstract) available: September 1, 2023 * Results Submission (sub-task 2, end-to-end system): September 7, 2023 * Test data (title/abstract and entity annotation) available: September 8, 2023 * Results Submission (sub-task 1, relation extraction): September 12, 2023 * Short technical systems description paper due: September 30, 2023 * Invites for presentation at the workshop: October 10, 2023 Workshop Proceedings and Special Issue: The BioCreative VIII Proceedings will host all the submissions from participating teams, and it will be freely available by the time of the workshop. In addition, we are happy to announce that the journal Database will host the BioCreative VIII special issue for work that has passed their peer-review process. Invitation to submit will be sent after the workshop. More Information: Webpage<https://biocreative.bioinformatics.udel.edu/tasks/biocreative-viii/track-1/> Organizing Committee * Rezarta Islamaj, National Library of Medicine * Po-Ting Lai, National Library of Medicine * Chih-Hsuan Wei, National Library of Medicine * Ling Luo, Dalian University of Technology * Zhiyong Lu, National Library of Medicine

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