July 2023 - Corpora - ELRA lists

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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PhD and Postdoc in CSS, University of Tartu, Estonia
by Rajesh Sharma 28 Jul '23

28 Jul '23

Hello All, Computational Social Science Group (https://css.cs.ut.ee/) is looking for PhD and Postdoctoral applicants which starts this autumn or ASAP ! What is the topic about? ==================== We are interested in topics related to misinformation, media biasness (fairness and explainability) on online social media. We are also open to other topics if they overlap with the interests of our group. Please do contact if you are interested at contact(a)css.cs.ut.ee Why join us? ==================== You'll be part of Estonia's esteemed University of Tartu Institute of Computer Science (https://cs.ut.ee/en) which is in the modern Delta Centre ( https://delta.ut.ee/en/), a beacon of technological innovation and research excellence. Scholarship/Salary: For PhD applicants, the gross salary is 2000 Euros per month for four years, and for postdocs, it will be 2500 Euros gross per month. We will support research related travels and there is no tuition fees for PhD students. Education Qualification: For PhD applicants, master's degree is required and for postdoc, PhD degree should be in hand. We are open to discuss positions with non-computer science students (who have good programming knowledge). Kind Regards Rajesh Sharma Associate Prof, and Erasmus+ Coordinator, Institute of Computer Science, Head, Computational Social Science Group, University of Tartu, Estonia. Email: rajesh.sharma(a)ut.ee https://cs.ut.ee/en

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ELRA Catalogue of Language Resources - Update
by info＠elda.org 27 Jul '23

27 Jul '23

[Apologies for multiple postings]* * We are happy to announce that 66 new monolingual lexicons and 1 speech resource are now available in our catalogue. Moreover, 4 speech resources are now available at reduced fees. *1) New Language Resources:* *Bitext Lexical Datasets* <http://catalog.elra.info/en-us/repository/search/?q=Bitext+Lexical+Dataset> The series of *Bitext Lexical Datasets* for the generic vocabulary includes Lemmas, POS tagging, Frequency, Named Entities and Offensive features. Depending on the dataset and language, other syntactic and morphological features are also provided. The following 15 languages are available: As a complement to the datasets mentioned above, 11 datasets of *Language Variants* can also be obtained: 1. Arabic (MSA) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0136/>dataset and Arabic Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0151/>dataset consisting of Arabic Gulf, Arabic Najdi, Arabic Egypt and Arabic MSA variants, 2. Chinese (Simplified) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0137/>dataset, Chinese (Traditional) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0138/>dataset, and Chinese Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0152/>dataset (Simplified + Traditional), 3. Dutch <http://catalog.elra.info/en-us/repository/browse/ELRA-L0139/>dataset and Dutch Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0153/>dataset consisting of Netherlands and Belgium variants, 4. English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0140/>dataset and English Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0154/>dataset consisting of United States, United Kingdom and India variants, 5. Finnish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0141/>dataset and Finnish Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0155/>dataset consisting of Standard and Colloquial Finnish variants, 6. French <http://catalog.elra.info/en-us/repository/browse/ELRA-L0142/>dataset and French Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0156/>dataset consisting of France, Canada and Switzerland variants, 7. German <http://catalog.elra.info/en-us/repository/browse/ELRA-L0143/>dataset and German Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0157/>dataset consisting of Germany and Switzerland variants, 8. Indonesian <http://catalog.elra.info/en-us/repository/browse/ELRA-L0144/>dataset, 9. Italian <http://catalog.elra.info/en-us/repository/browse/ELRA-L0145/>dataset and Italian Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0158/>dataset consisting of Italy and Switzerland variants, 10. Malay <http://catalog.elra.info/en-us/repository/browse/ELRA-L0146/>dataset, 11. Norwegian (Bokmal) <http://catalog.elra.info/en-us/repository/browse/ELRA-L0147/>dataset and Norwegian Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0159/>dataset consisting of Bokmal and Nynorsk variants, 12. Portuguese <http://catalog.elra.info/en-us/repository/browse/ELRA-L0148/>dataset and Portuguese Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0160/>dataset consisting of Portugal and Brazil variants, 13. Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0149/>dataset and Spanish Language Variants <http://catalog.elra.info/en-us/repository/browse/ELRA-L0161/>dataset consisting of Spain, North America, Central America, Andes and Southern Cone variants, *Bitext Synthetic Data* <http://catalog.elra.info/en-us/repository/search/?q=Bitext+Synthetic+Data> The Bitext Synthetic Data consist of pre-built training data for intent detection and are provided for 20 verticals for English and Spanish languages. They cover the most common intents for each vertical and include a large number of example utterances for each intent, with optional entity/slot annotations for each utterance. Data is distributed as models or open text files. For each language, the following verticals are available: 1. Automotive: 52 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0162/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0182/>) 2. Retail banking: 26 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0163/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0183/>) 3. Education: 37 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0164/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0184/>) 4. Event and ticketing: 25 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0165/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0185/>) 5. Field Service: 27 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0166/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0186/>) 6. Healthcare: 40 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0167/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0187/>) 7. Hospitality: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0168/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0188/>) 8. Insurance: 38 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0169/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0189/>) 9. Legal : 29 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0170/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0190/>) 10. Manufacturing: 34 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0171/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0191/>) 11. Media Streaming: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0172/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0192/>) 12. Mortgage and loans: 39 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0173/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0193/>) 13. Moving and storage: 29 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0174/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0194/>) 14. Real estate and construction: 28 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0175/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0195/>) 15. Restaurant/ bar chains: 30 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0176/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0196/>) 16. Retail Ecomm: 34 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0177/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0197/>) 17. Telecommunication: 26 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0178/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0198/>) 18. Travel: 33 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0179/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0199/>) 19. Utilities: 21 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0180/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0200/>) 20. Wealth management: 24 intents (English <http://catalog.elra.info/en-us/repository/browse/ELRA-L0181/>, Spanish <http://catalog.elra.info/en-us/repository/browse/ELRA-L0201/>) *Persian Kids’ Speech Corpus* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0487/> The Persian Kids’ Speech Corpus consists of speech signals recorded by 286 children (141 girls, 145 boys), from 6 to 9 years old, through an Andreas Mic Anti-Noise microphone and a Premium Speechmike headphone. This recorded data was manually checked and labeled. Finally, a corpus containing 162,395 samples with a duration of 33 hours and 44 minutes was created. The samples are distributed as follows: 1. 29,057 Words (478 minutes), 2. 17,429 SubWords (260 minutes), 3. 43,838 Syllables (485 minutes), 4. 70,078 Phonemes (765 minutes), 5. 1,993 Extra Vocabulary (36 minutes). The prepared speech corpus comprehensively contains all the 29 Persian phonemes, 118 syllables, 56 sub-words, and 711 words and is particularly applicable to speech recognition and linguistics studies. *2) Reduced fees for the following speech resources:* * *Chinese Mandarin (South) database* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0397/> * *Chinese Mandarin (North) database* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0398/> * *Japanese Kids Speech database (Lower Grade)* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0411/> * *Japanese Kids Speech database (Upper Grade)* <http://catalog.elra.info/en-us/repository/browse/ELRA-S0412/>** For more information on the catalogue or if you would like to enquire about having your resources distributed by ELRA, please *contact us* <mailto:contact@elda.org>. _________________________________________ Visit the *ELRA Catalogue of Language Resources* <http://catalog.elra.info> Visit the *Universal Catalogue* <http://universal.elra.info>** *Archives * <http://www.elra.info/en/catalogues/language-resources-announcements>of ELRA Language Resources Catalogue Updates /Our apologies if you have received multiple copies of this announcement./

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CMC-Corpora Conference 2023 14-15th September 2023, Mannheim: Last Chance for Early Bird Tickets
by cotgrove＠ids-mannheim.de 27 Jul '23

27 Jul '23

Dear List Members, You still have until 31st July (inclusive) to benefit from the Early Bird Discount when registering for the CMC-Corpora Conference 2023 in Mannheim, Germany on 14-15th September 2023. Registration is via EasyChair using the link: https://www.uni-mannheim.de/cmc-corpora2023/registration Keynote Speakers: Unn Røyneland (University of Oslo) Tatjana Scheffler (Ruhr University of Bochum) The conference programme and list of talks are available here: https://www.uni-mannheim.de/cmc-corpora2023/programme We look forward to seeing you in Mannheim in September! The CMC-Corpora Conference 2023 organising committee Jutta Bopp, Louis Cotgrove, Laura Herzberg, Harald Lüngen, Andreas Witt

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Third call for papers DHASA Conference 2023
by Menno Van Zaanen 27 Jul '23

27 Jul '23

Third call for papers DHASA Conference 2023 https://dh2023.digitalhumanities.org.za/ Theme: "Digital Humanities for Inclusion" The Digital Humanities Association of Southern Africa (DHASA) is pleased to announce its fourth conference, focusing on the theme "Digital Humanities for Inclusion." In a region where the field of Digital Humanities is still relatively underdeveloped, this conference aims to address this gap and foster growth and collaboration in the field. The conference offers an opportunity for researchers interested in showcasing their work in the broad field of Digital Humanities to come together. By doing so, the conference provides a comprehensive overview of the current state-of-the-art in Digital Humanities, particularly within the Southern Africa region. As such, we welcome submissions related to Digital Humanities research conducted by individuals from Southern Africa or research focused on the geographical area of Southern Africa. Furthermore, the conference serves as a platform for information sharing and networking among researchers passionate about Digital Humanities. By bringing together experts working on Digital Humanities in Southern Africa or with a focus on Southern Africa, we aim to promote collaboration and facilitate further research in this dynamic field. In addition to the main conference, affiliated workshops and tutorials will be organized, providing researchers with valuable insights into novel technologies and tools. These supplementary events are designed for researchers interested in specific aspects of Digital Humanities or seeking practical information to enter or advance their knowledge in the field. The DHASA conference welcomes interdisciplinary contributions from researchers in various domains of Digital Humanities, including, but not limited to, language, literature, visual art, performance and theatre studies, media studies, music, history, sociology, psychology, language technologies, library studies, philosophy, methodologies, software and computation, and more. Our goal is to cultivate an inclusive scientific community of practice within Digital Humanities. Suggested topics include the following: * Digital archives and the preservation of marginalized voices; * Intersectionality and the digital humanities: exploring the intersections of race, gender, sexuality, and class in digital research and activism; * Activism and social change through digital media: how digital humanities tools and methodologies can be used to promote inclusion; * Engaging marginalized communities in the creation and use of digital tools and resources; * Exploring the role of digital humanities in decolonizing knowledge and promoting indigenous perspectives; * The ethics of data collection and analysis in digital humanities research related; * The role of digital humanities in promoting inclusive and equitable pedagogy; * Digital humanities and inclusion in the context of global perspectives and international collaborations; * Critical approaches to digital humanities and inclusion: examining the limitations and possibilities of digital tools and methodologies in promoting inclusion; and * Collaborative digital humanities projects with non-profit organizations, community groups, and cultural institutions; * Any other digital humanities-related topic that serves the Southern African community. Submission Guidelines The DHASA conference 2023 asks for three types of submissions: * Long papers: Authors may submit long papers consisting of a maximum of 8 content pages and unlimited pages for references and appendix. The final versions of accepted long papers will be granted an additional page (up to 9 pages) to incorporate reviewers' comments. * Short papers: Authors may submit short papers with a maximum of 5 content pages and unlimited pages for references and appendix. The final versions of accepted short papers will be allowed an extra page (up to 6 pages) to accommodate reviewers' comments. Short papers accepted for the conference will be presented as posters. * Abstracts: Authors can submit abstracts of 250-300 words. Note that before submitting your contribution, you are required to submit an abstract before the abstract submission deadline. This holds for *all* submissions. The actual submission will need to be submitted before the submission deadline. More information on the submission process can be found on the submission page: https://dh2023.digitalhumanities.org.za/submission/ We particularly encourage student submissions where the first author is a student. All accepted long and short paper submissions that are presented at the conference will be published in the Journal of Digital Humanities Association of Southern Africa, see https://upjournals.up.ac.za/index.php/dhasa. In addition, the abstracts of the full papers and the lightning talks will be published in a book of abstracts before the conference. Important dates Abstract submission deadline: 8 August 2023 Ful paper submission deadline: 15 August 2023 Date of notification: 30 September 2023 Camera-ready copy deadline: 6 November 2023 Conference: 27 November 2023 - 1 December 2023 Conference format: Face-to-face Conference venue: Nelson Mandela University, Eastern Cape South Africa NOTE: Non-presenting delegates have the option to attend online. Co-located events Several co-located events are currently being prepared. These will be updated on the conference website. Organizing Committee * Johannes Sibeko, Nelson Mandela University * Aby Louw, Council for Scientific and Industrial Research * Alan Murdoch, Nelson Mandela University * Amanda du Preez, University of Pretoria * Andiswa Bukula, South African Centre for Digital Language Resources * Andiswa Mvanyashe, Nelson Mandela University * Avashna Govender, Council for Scientific and Industrial Research * Gabby Dlamini, Nelson Mandela University * Ilana Wilken, Council for Scientific and Industrial Research * Jonathan van der Walt, Nelson Mandela University * Laurette Marais, Council for Scientific and Industrial Research * Mukhtar Raban, Nelson Mandela University * Nomfundo Khumalo, Nelson Mandela University * Menno Van Zaanen, South African Centre for Digital Language Resources -- Prof Menno van Zaanen menno.vanzaanen(a)nwu.ac.za Professor in Digital Humanities South African Centre for Digital Language Resources https://www.sadilar.org ________________________________ NWU PRIVACY STATEMENT: http://www.nwu.ac.za/it/gov-man/disclaimer.html DISCLAIMER: This e-mail message and attachments thereto are intended solely for the recipient(s) and may contain confidential and privileged information. Any unauthorised review, use, disclosure, or distribution is prohibited. If you have received the e-mail by mistake, please contact the sender or reply e-mail and delete the e-mail and its attachments (where appropriate) from your system. ________________________________

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Research Associate for the project “Predicting COVID-19 Vaccination Uptake from Public Discourse”
by Robert Fuchs 26 Jul '23

26 Jul '23

Research Associate (English linguistics) for the project “Predicting COVID-19 Vaccination Uptake from Public Discourse” https://www.uni-hamburg.de/stellenangebote/ausschreibung.html?jobID=7d287ef… Start date 01.10.2023 Application deadline 20.08.2023 The Department of English at the University of Hamburg is seeking a Research Associate to join a team of researchers working on an interdisciplinary project, funded through the Cross-Disciplinary Labs initiative, titled "Predicting COVID-19 Vaccination Uptake from Public Discourse: A Machine Learning Approach". In this project, we will explore the relationship between public discourse and COVID-19 vaccination uptake and how to use real world data from Germany and England to track public opinion on COVID-19 vaccination, with the ultimate aim of identifying strategies to increase the uptake of COVID-19 vaccinations. The analysis will apply big data and machine learning techniques to Twitter data and will link these to information on local vaccination rates. From a policy perspective, the output of this project will inform public health responses in real time in future pandemics. At the heart of the project is an interdisciplinary approach, combining health economics and linguistics with new methods from data science. The successful candidate will work under the supervision of Professor Robert Fuchs (English Linguistics) and will join a vibrant working group focused on research in the fields of data-intensive discourse analysis, varieties of English and Learner Corpus Research (see https://sites.google.com/view/rflinguistics/home). We offer flexible working arrangements, a supportive research environment and the opportunity for professional growth through skills development in cutting edge research methods in linguistics and data science. Specific duties of the Research Associate include the collection and analysis of Twitter data, the preparation and co-authorship of research publications and conference presentations, participation in international conferences as well as contributing to the strengthening of data science at the University of Hamburg through the Cross-Disciplinary Labs network. The position does not involve any teaching duties. The Research Associate is also encouraged to work towards a PhD, the topic of which should be broadly aligned with the Principal Investigator’s research interests, and may be, but does not need to be, connected to the project. Applicants need to be in possession of a Master’s degree (or equivalent) by the starting date of the position. Applications should include a cover letter explaining the candidate’s qualifications and interest in the position, a CV, copies of Bachelor’s and Master’s degree certificates (where applicable), a representative piece of writing (e.g. MA thesis, term paper) demonstrating the candidate’s skills in academic writing, data analysis and/or English linguistics , as well as a PhD proposal (optional, no more than five pages). Requirements A university degree in a relevant field. excellent proficiency in English excellent skills in academic writing experience with the statistical analysis of linguistic data (esp. with R and/or Python), the analysis of metaphorical language, corpus linguistics and/or discourse analysis are of advantage -- Prof. Dr. Robert Fuchs (JP) | Department of English Language and Literature/Institut für Anglistik und Amerikanistik | University of Hamburg | Überseering 35, 22297 Hamburg, Germany | Room 07076 | https://uni-hamburg.academia.edu/RobertFuchs | https://sites.google.com/view/rflinguistics/ Mailing list on varieties of English/World Englishes/ENL-ESL-EFL. Subscribe here: https://groups.google.com/forum/#!forum/var-eng/join Are you a non-native speaker of English? Please help us by taking this short survey on when and how you use the English language: https://lamapoll.de/englishusageofnonnativespeakers-1/

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2025

2024

2023

2022

Corpora July 2023