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Call for Papers: 'TwinTalks 4: Understanding and Facilitating Remote Collaboration in DH' at DH2023
by Gorgaini, E. (Elisa) 16 Mar '23

16 Mar '23

Call for Papers: 'TwinTalks 4: Understanding and Facilitating Remote Collaboration in DH' The workshop is a joint initiative by the European Social Sciences and Humanities Research Infrastructures CLARIN <http://www.clarin.eu> and DARIAH<https://www.dariah.eu/> and it will be organised as part of the DH 2023 Collaboration and Opportunity Conference<https://dh2023.adho.org/> that will take place on July 10-14 in Graz, Austria. Dates and Location Main conference: 10-14 July, Messe Congress Graz convention centre<http://www.mcg.at/messegraz.at/en/locations/messecongress-graz/veranstalter…> TwinTalks workshop: 10 July, 9:00 - 12:30, University of Graz<https://www.uni-graz.at/en/> ________________________________ Important Dates * 15 March 2023: Call for Papers * 15 May 2023: Submission deadline * 15 June 2023: Notification of acceptance * 30 June 2023: Deadline for the final version of extended abstracts * 10 July 2023 (9:00 - 12:30): Workshop ________________________________ Workshop Aims The main objective of the workshop is to develop a better understanding of the dynamics on the Digital Humanities work floor when researchers, teachers and/or professionals with different – but often overlapping – areas of competence engage in remote collaboration to solve humanities research questions, and to explore how education and training of humanities scholars, cultural heritage professionals and technical experts can help to make remote collaboration across disciplines more efficient and effective, more creative and innovative, and more inclusive and rewarding for all participants. To this end, we invite submissions reporting on all aspects and stages of engaging in remote collaborative research and teaching in DH, including the obstacles encountered and solutions found. We also welcome position papers on the role of research infrastructures in facilitating remote collaboration in DH. The insights gained should help those involved in the education of humanities scholars, professionals and technical experts alike to develop better training programmes, tailored towards the needs of a diverse group of potential learners. The workshop is a follow-up of three previous successful TwinTalks workshops that have taken place at various DH conferences from 2019 onwards (TwinTalks 1 proceedings<https://ceur-ws.org/Vol-2365/>; TwinTalks 1 blog<http://www.parthenos-project.eu/clarin-and-parthenos-twintalks>; TwinTalks 2+3 proceedings<https://ceur-ws.org/Vol-2717/>). ________________________________ Audience Researchers, cultural heritage professionals, educators, scientific programmers, research infrastructure operators and policy-makers with a special interest in creating the conditions where people with humanities research skills and technical expertise (or both) can fruitfully collaborate in answering humanities research questions remotely. ________________________________ Workshop Format The programme starts with an invited talk by a prominent speaker, which will set the scene for the rest of the day. The main component of the workshop programme consists of two types of (submitted) talks: * Twin talks, i.e. talks presented by pairs or teams consisting of someone rooted primarily in humanities research (with a humanities research problem, i.e. not a technical problem or tool), someone with a background in a totally different discipline (e.g. technical) who has contributed their specific capabilities to arrive at the answers, and/or a cultural heritage professional whose collection knowledge has contributed to the development of the research corpus. Talks will usually consist of three parts, followed by questions from the audience: In the first part, the humanities research question is the point of focus, while in the second part, it is shown how the joint effort resulted in an answer to the respective question. In the third part, these perspectives come together, as the team describes how the remote collaboration went, including obstacles that were encountered, and how better training and education could help to make remote collaboration more efficient and effective. * Teach talks by people with experience with or interesting ideas about how remote cross-discipline collaboration is or can be addressed in curricula or other training activities. ________________________________ Submissions The language of the workshop is English. What we expect from the submissions for the Twin Talks track: * They are authored and presented by one or more humanities scholars and one or more digital experts * They start from a humanities research question (i.e. not a technical question, a presentation of a tool, a platform or a data collection) * They describe the remote research carried out jointly and its results * They describe the technical aspects of the methods used and the results obtained * They analyse the way the scholars and the technicians collaborated remotely, addressing issues such as (but not limited to): * What was easy and what was difficult, and why? * How did the researchers, technicians or cultural heritage professionals change each other’s way of looking at things? * Did they, for instance, make each other aware of blind spots they had? * Did the combination of thinking from a DH research question and thinking from a technical solution lead to new insights? * How could better training or education of scholars and digital experts make remote collaboration easier, more effective and more efficient? With regards to the TeachTalks track, one single author and presenter is sufficient. Of course, multi-author papers are equally welcome. Submission instructions * Format: PDF. For format instructions, see http://ceur-ws.org/Vol-XXX/CEURART.zip * Size: Extended abstracts, size ca 4-8 pages (between 2000-4000 words), covering research questions and answers, technical aspects and collaboration experience for Twin Talks, or relevant educational experience for Teach Talks. * Publication: The workshop proceedings will be published at CEUR-WS<https://ceur-ws.org/>. * Submission URL: https://easychair.org/conferences/?conf=twintalksdh2023 Workshop Programme Committee * Bente Maegaard (CLARIN ERIC / University of Copenhagen, Denmark) * Barbara McGillivray (King's College London & The Alan Turing Institute, UK) * Benjamin Wiggins (University of Manchester, UK) * Eleni Gouli (Academy of Athens, Greece) * Francesca Frontini (CNR, Italy & CLARIN ERIC) * Frank Uiterwaal (EHRI / NIOD / KNAW, Netherlands) * Folgert Karsdorp (Meertens Institute, KNAW, Netherlands) * Geoffrey Rockwell (University of Alberta, Canada) * Hitoshi Isahara (Center for IT-Based Education, Japan) * Jennifer Edmond (Trinity College Dublin, Ireland) * Koenraad De Smedt (CLARINO, University of Bergen, Norway) * Maria Gavrilidou (Institute for Language and Speech Processing, Athens, Greece) * Menno Van Zaanen (South African Centre for Digital Language Resources, South Africa) * Milena Dobreva (Sofia University “St. Kliment Ohridski”, Bulgaria) * Mikko Tolonen (University of Helsinki, Finland) * Radim Hladik (Academy of Sciences, Czech Republic) * Ulrike Wuttke (University of Applied Sciences Potsdam, Germany) * Vicky Garnett (Trinity College Dublin, Ireland) ________________________________ Chairs and Organisers The workshop is a joint initiative by European SSH Research Infrastructures CLARIN (http://www.clarin.eu<http://www.clarin.eu/>) and DARIAH (https://www.dariah.eu/). * Steven Krauwer (CLARIN ERIC / Utrecht University, Netherlands) * Darja Fišer (CLARIN ERIC / Institute of Contemporary History, Slovenia) * Iulianna van der Lek-Ciudin (CLARIN ERIC, Netherlands) * Sally Chambers (DARIAH-EU / Ghent Centre for Digital Humanities, Belgium) * Agiatis Benardou (DARIAH-EU / Digital Curation Unit, ATHENA R.C., Athens, Greece) ________________________________ Contact Information For any questions, please contact Iulianna van der Lek at events(a)clarin.eu<https://mailto:events@clarin.eu>. — Elisa Gorgaini CLARIN ERIC External Relation Officer elisa(a)clarin.eu +31648213015 www.clarin.eu

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Second Call for Participation - MentalRiskES@IberLEF2023: Early detection of mental disorders risk in Spanish
by Flor Miriam Plaza Del Arco 16 Mar '23

16 Mar '23

Training set released! Please, consider participating and/or forwarding to colleagues and groups. ****We apologize for multiple postings of this e-mail**** ------------------------------------------------------------------------------- MentalRiskES at IberLEF 2023: Second Call for Participation Website: https://sites.google.com/view/mentalriskes ------------------------------------------------------------------------------- MentalRiskES is a novel task on early risk identification of mental disorders in Spanish comments from Telegram users. The task must be resolved as an online problem, that is, the participants must be able to detect a potential risk as early as possible in a continuous stream of data. Therefore, the performance not only depends on the accuracy of the systems but also on how fast the problem is detected. We would like to invite you to participate in the following tasks: 1. Eating disorders detection 2. Depression detection 3. Unknown disorder detection Find out more at https://sites.google.com/view/mentalriskes. MentalRiskES 2023 is part of the IberLEF Workshop and will be held in conjunction with SEPLN 2023 conference in Jaén (Spain). ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now Registration open Feb 16th Release of trial corpora Mar 16th Release of training corpora May 1st Registration closed May 10th Release of test corpora and start of the evaluation campaign May 18th End of evaluation campaign (deadline for submission of runs) May 26th Publication of official results and release of test gold labels Jun 8th Deadline for paper submission Jun 23rd Acceptance notification Jun 30th Camera-ready submission deadline July 6th Final camera-ready submission deadline (to IberLEF organisers) Please reach out to the organizers at MentalRiskES@IberLEF2023<https://groups.google.com/g/mentalriskes>. The MentalRiskES 2023 organizing committee. -- Flor Miriam Plaza del Arco Postdoctoral Researcher at MilaNLP Bocconi University Via Roentgen 1-2, 20136 Milan, MI, Italy Twitter: @florplaza22 Web: https://fmplaza.github.io/ Lab: https://milanlproc.github.io

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ICMI 2023 Call for tutorial proposals
by Gualtiero Volpe 16 Mar '23

16 Mar '23

===================================== ICMI 2023 Call for tutorial proposals https://icmi.acm.org/2023/call-for-tutorials/ 25th ACM International Conference on Multimodal Interaction 9-13 October 2023, Paris, France ===================================== ACM ICMI 2023 seeks half-day (3-4 hours) tutorial proposals addressing current and emerging topics within the scope of "Science of Multimodal Interactions". Tutorials are intended to provide a high-quality learning experience to participants with a varied range of backgrounds. It is expected that tutorials are self-contained. Prospective organizers should submit a 4-page (maximum) proposal containing the following information: 1. Title 2. Abstract appropriate for possible Web promotion of the Tutorial 3. A short list of the distinctive topics to be addressed 4. Learning objectives (specific and measurable objectives) 5. The targeted audience (student / early stage / advanced researchers, pré-requisite knowledge, field of study) 6. Detailed description of the Tutorial and its relevance to multimodal interaction 7. Outline of the tutorial content with a tentative schedule and its duration 8. Description of the presentation format (number of presenters, interactive sessions, practicals) 9. Accompanying material (repository, references) and equipment, emphasizing any required material from the organization committee (subject to approval) 10. Short biography of the organizers (preferably from multiple institutions) together with their contact information and a list of 1-2 key publications related to the tutorial topic 11. Previous editions: If the tutorial was given before, describe when and where it was given, and if it will be modified for ACM ICMI 2023. Proposals will be evaluated using the following criteria: - Importance of the topic and the relevance to ACM ICMI 2023 and its main theme: "Science of Multimodal Interactions" - Presenters' experience - Adequateness of the presentation format to the topic - Targeted audience interest and impact - Accessibility and quality of accompanying materials (open access) Proposals that focus exclusively on the presenters' own work or commercial presentations are not acceptable. Unless explicitly mentioned and agreed by the Tutorial chairs, the tutorial organizers will take care of any specific requirements which are related to the tutorial such as specific handouts, mass storages, rights of distribution (material, handouts, etc.), copyrights, etc. Important Dates and Contact Details ----------------------------------- Tutorial Proposal Deadline: May 15, 2023 Tutorial Acceptance Notification: May 29, 2023 Camera-ready version of the tutorial abstract: June 26, 2023 Tutorial date: TBD (either October 9 or October 13) Proposals should be emailed to the ICMI 2023 Tutorial Chairs, Prof. Hatice Gunes and Dr. Guillaume Chanel: icmi2023-tutorial-chairs(a)acm.org <mailto:icmi2023-tutorial-chairs@acm.org> Prospective organizers are also encouraged to contact the co-chairs if they have any questions.

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Second CFP: AmericasNLP 2023 @ ACL
by Katharina Kann 16 Mar '23

16 Mar '23

The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP 2023) Second Call for Papers The Third Workshop on NLP for Indigenous Languages of the Americas (AmericasNLP) will be co-located with the 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023 <https://2023.aclweb.org/>), which is scheduled to be held in Toronto, Canada, between July 9-14, 2023. The goal of the workshop is to encourage and increase the visibility of work on the Indigenous languages of the Americas. It aims to encourage research on NLP, computational linguistics, corpus linguistics and speech for Indigenous languages, to connect researchers and professionals from underrepresented communities and native speakers of endangered languages with the ACL community, and, more generally, to promote machine learning approaches suitable for low-resource languages. We invite the submission of - Long papers (8 pages) and short papers (4 pages) on substantial, original, and unpublished research - Non-archival extended abstracts (2 pages), technical reports (8 pages), and work which has been presented at other venues (in the format of the original publication) Submissions do not need to describe work on native languages directly, as long as it is clear why those can benefit from the described approaches. Areas of interest include but are not limited to: - Creation of datasets for NLP applications - Incorporation of external knowledge into neural systems - Linguistic typology and the use of typological features for NLP - Transfer learning, meta-learning, and active learning - Weakly supervised, semi-supervised, and unsupervised learning - Machine translation of low-resource languages - Morphology and phonology of low-resource languages - NLP applications for Indigenous languages of the Americas Important dates: - Start of the anonymity period: March 15, 2023 - Submission deadline: April 15, 2023 - Notification of acceptance: May 15, 2023 - Camera ready papers due: May 26, 2023 - Workshop: July 14, 2023 All deadlines are 11.59 pm UTC -12h (anywhere on earth). Link to submission portal: https://softconf.com/acl2023/AmericasNLP2023/ The workshop also includes: - A machine translation shared task on truly low-resource languages - A mentoring program to support students and newcomers from underrepresented communities (application form: https://forms.gle/afBWauDfDQijXHTy9) We also have a diverse set of invited speakers, focused on bridging the gap between linguists, NLP, and machine learning research! - Steven Bird (linguistics; ethics) - Angela Fan (NLP; machine translation) - Kristine Stenzel (field linguistics; American Indigenous languages) Organizing Committee - Manuel Mager, AWS AI Labs - Arturo Oncevay, University of Edinburgh - Enora Rice, University of Colorado Boulder - Abteen Ebrahimi, University of Colorado Boulder - Shruti Rijhwani, Google Research - Alexis Palmer, University of Colorado Boulder - Katharina Kann, University of Colorado Boulder More information and contact information can be found at http://turing.iimas.unam.mx/americasnlp/. -- Dr. Katharina Kann Assistant Professor of Computer Science University of Colorado Boulder Personal page: https://kelina.github.io Group page: https://nala-cub.github.io

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LITHME WG1 TECH TALKS: "With a little help from NLP", R. Mitkov. 17.03.2023
by Rui Sousa Silva 15 Mar '23

15 Mar '23

*** APOLOGIES FOR CROSS-POSTINGS *** Dear all, The chairs of LITHME Working Group 1 - Computational Linguistics are pleased to invite you to our forthcoming online talk, ' With a little help from NLP: My Language Technology applications with impact on society(and my thoughts on the future of NLP) ', by Ruslan Mitkov. The talk will present original methodologies developed by the speaker, underpinning implemented Language Technology tools which are already having an impact on the following areas of society: e-learning, translation and interpreting and care for people with language disabilities. The first part of the presentation will introduce an original methodology and tool for generating multiple-choice tests from electronic textbooks. The application draws on a variety of Natural Language Processing (NLP) techniques which include term extraction, semantic computing and sentence transformation. The presentation will include an evaluation of the tool which demonstrates that generation of multiple-choice tests items with the help of this tool is almost four times faster than manual construction and the quality of the test items is not compromised. This application benefits e-learning users (both teachers and students) and is an example of how NLP can have a positive societal impact, in which the speaker passionately believes. The latest version of the system based on deep learning techniques will also be briefly introduced. The talk will go on to discuss two other original recent projects which are also related to the application of NLP beyond academia. First, a project, whose objective is to develop next-generation translation memory tools for translators and, in the near future, for interpreters, will be briefly presented. Finally, a project will be outlined which focuses on helping users with autism to read and better understand texts. The speaker will put forward ideas as to what we can do next. The presentation will finish with a brief outline of the latest (and forthcoming) research topics (to be) which the speaker plans to pursue and his vision on the future NLP applications. In particular, he will share his views as to how NLP will develop and what should be done for NLP to be more successful, more inclusive and more ethical. You can find a bio note of Ruslan Mitkov below. Since this talk might be of interest to other LITHME members, we took the liberty of sharing it with the whole network. The talk will take place on Friday, 17 March, at 13:00 (CET), via Zoom. Attendance, as usual, is free, but you will need to register in advance by clicking: https://videoconf-colibri.zoom.us/meeting/register/tJwrcO2urz0qHt3aELxrDnw_… We look forward to seeing you online on 17 March. All best Rui & Henrique Ruslan Mitkov - Bionote Prof Dr Ruslan Mitkov has been working in Natural Language Processing (NLP), Computational Linguistics, Corpus Linguistics, Machine Translation, Translation Technology and related areas since the early 1980s. Whereas Prof Mitkov is best known for his seminal contributions to the areas of anaphora resolution and automatic generation of multiple-choice tests, his extensively cited research (more than 270 publications including 20 books, 35 journal articles and 40 book chapters) also covers topics such as deep learning for NLP, machine translation, translation memory and translation technology in general, bilingual term extraction, automatic identification of cognates and false friends, natural language generation, automatic summarisation, computer-aided language processing, centering, evaluation, corpus annotation, NLP-driven corpus-based study of translation universals, text simplification, NLP for people with language disorders and computational phraseology. In addition, Ruslan Mitkov is well known for his vision in research based on innovative ideas and drive towards research output which seeks to enhance the work efficiency of different professions (e.g. for teachers, translators and interpreters) or seeks to improve the quality of life (e.g. for people with language disabilities) and which has significant impact beyond academia. Mitkov is author of the monograph Anaphora resolution (Longman) and Editor of the most successful Oxford University Press Handbook - The Oxford Handbook of Computational Linguistics whose second and substantially revised edition was published in June 2022. Current prestigious projects include his role as Executive Editor of the Journal of Natural Language Engineering published by Cambridge University Press and Editor-in-Chief of the Natural Language Processing book series of John Benjamins publishers. Dr Mitkov is also working on the forthcoming Oxford Dictionary of Computational Linguistics (Oxford University Press, co-authored with Patrick Hanks) and the Oxford Handbook of Phraseology Linguistics (Oxford University Press, co-authored with Gloria Corpas and Jean-Pierre Colson). Prof Mitkov has been invited as a keynote speaker at more than 200 international conferences. He has acted as Chair or Programme Chair of more than 65 international conferences on Natural Language Processing (NLP), Machine Translation, Translation Technology, Translation Studies, Corpus Linguistics and Anaphora Resolution. He is asked on a regular basis to review for leading international funding bodies and organisations and to act as a referee for applications for Professorships both in North America and Europe. Ruslan Mitkov is regularly asked to review for leading journals, publishers and conferences and serve as a member of Programme Committees or Editorial Boards. Prof Mitkov has been an external examiner of many doctoral theses and curricula in the UK and abroad, including Master’s programmes related to NLP, Translation and Translation Technology. Prof Mitkov is Coordinator (Director) of the first and only Erasmus Mundus Master’s Programme in Technology for Translation and Interpreting - an innovative and inspirational programme, with a strong research focus but an equally strong emphasis on business; leading companies in the global translation and language industry participate as associated partners. Dr Mitkov has considerable external funding to his credit (more than £ 20,000,000) and has been Principal Investigator of 25 projects, are funded by UK research councils, by the EC as well as by companies and users from the UK and USA. Ruslan Mitkov received his MSc from the Humboldt University in Berlin, his PhD from the Technical University in Dresden and worked as a Research Professor at the Institute of Mathematics, Bulgarian Academy of Sciences, Sofia. Mitkov is Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton which he joined in 1995 and where he set up the Research Group in Computational Linguistics. His Research Group has emerged as an internationally leading unit in applied Natural Language Processing and members of the group have won awards at different NLP/shared-task competitions and conferences. In addition to being Head of the Research Group in Computational Linguistics, Prof Mitkov is also Director of the Research Institute in Information and Language Processing and Director of the Responsible Digital Humanities Lab. The Research Institute consists of the Research Group in Computational Linguistics and the Research Group in Statistical Cybermetrics, which is another top performer internationally. Ruslan Mitkov is Vice President of ASLING, an international Association for promoting Language Technology. Dr Mitkov is a Fellow of the Alexander von Humboldt Foundation, Germany, was a Marie Curie Fellow, Distinguished Visiting Professor at the University of Franche-Comté in Besançon, France and Distinguished Visiting Researcher at the University of Malaga, Spain; he also serves/has served as Vice-Chair for the prestigious EC funding programmes ‘Future and Emerging Technologies’ and ‘EIC Pathfinder Open’. In September 2022 the renowned National Board of Medical Examiners (USA) presented Prof Mitkov with a certificate of distinguished collaboration which resulted in lasting impact on the strategic planning and decision making of the US organisation and their employment of NLP solutions to assessment for the last 17 years. In recognition of his outstanding professional/research achievements, Prof Mitkov was awarded the title of Doctor Honoris Causa at Plovdiv University in November 2011. At the end of October 2014 Dr Mitkov was also conferred Professor Honoris Causa at Veliko Tarnovo University and on 25 October 2022 Prof R Mitkov received the title ‘Doctor Honoris Cause’ for the third time, this time awarded by New Bulgarian University, Sofia. Rui Sousa Silva Professor Auxiliar | Assistant Professor PhD Faculdade de Letras da Universidade do Porto | Faculty of Arts and Humanities of the University of Porto CLUP-Centro de Linguística da Universidade do Porto | Linguistics Centre of the University of Porto www.linguisticaforense.pt<http://www.linguisticaforense.pt> | https://s.up.pt/qjur [Text Description automatically generated with medium confidence] Rui Sousa Silva. ~ Professor Auxiliar | Assistant Professor www.letras.up.pt | www.clup.pt | www.linguisticaforense.pt

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March 2023 Newsletter - LDC
by Penn LDC 15 Mar '23

15 Mar '23

In this newsletter: LDC's 30th anniversary year ends LDC data and commercial technology development New publications: Mixer 3 Speech<https://catalog.ldc.upenn.edu/LDC2023S02> LORELEI Tamil Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T03> ________________________________ LDC's 30th anniversary year ends We hope you enjoyed the monthly data spotlights in celebration of LDC's 30th anniversary year, April 2022-March 2023. We would not have achieved this milestone without the continued support and collaboration of our members, friends, and the community. We are grateful. As we enter our fourth decade, we pledge to continue to serve the community and our members by distributing high quality, diverse data and by providing top-notch member services and research program support. LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: Mixer 3 Speech<https://catalog.ldc.upenn.edu/LDC2023S02> contains 3,200 hours of conversational telephone speech involving 3,875 speakers, 19,595 telephone recordings, and 26 distinct languages. This material was collected by LDC from 2005-2007 as part of the Mixer project, and recordings in this corpus were used in NIST Speaker Recognition Evaluation and NIST Language Recognition Evaluation corpora, including 2006 SRE and 2007 LRE. Recordings were generated using LDC's computer telephony system. Recruited speakers were connected through a robot operator to carry on casual conversations lasting up to 10 minutes. Subjects fluent in languages other than English were asked to complete at least one non-English call. Metadata includes the number of calls per subject and language, as well as speaker demographic information. 2023 members can access this corpus through their LDC accounts. This corpus is a Members-Only release and is not available for non-member licensing. Contact ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> for information about membership. * LORELEI Tamil Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2023T03> is comprised of over 41 million words of Tamil monolingual text, 680,000 words of found Tamil-English parallel text, and 226,000 Tamil words translated from English data. Approximately 78,000 words were annotated for named entities and over 24,000 words were annotated for entity discovery and linking, and situation frames (identifying entities, needs, and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 2023 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Research position in the field of Natural Language Processing (FBK, Trento, Italy)
by Alberto Lavelli 15 Mar '23

15 Mar '23

*Research position in NLP (FBK, Trento, Italy)* *Application deadline: 11 April, 2023* This position is offered within Piano Nazionale di Ripresa e Resilienza (PNRR) initiative, Partenariato Esteso "Future Artificial Intelligence Research" (FAIR) (Spoke 2). The FAIR spoke on Integrative AI proposes an overarching interdisciplinary approach to AI, with integration along two dimensions. Horizontal integrative-AI deals with the combination of several high-level elements: (i) modeling, reasoning, and deliberation in autonomous agents; (ii) interaction with the environment, including humans; (iii) cooperation among multiple artificial and human agents. Vertical Integrative AI is oriented to theories and techniques combining different scientific methods, competences, and technologies in specific AI sectors. This includes the integration of heterogeneous computational representation and reasoning/learning techniques, e.g. data-driven and model-based approaches, symbolic and sub-symbolic representations, as well as the integration of research closely related to AI such as formal methods, complex systems, software engineering, and cognitive science. Top FBK researchers in the field of AI have committed to lead key activities in the Spoke Integrative AI. *Job Description* FBK is looking for a candidate to cover the 3-year position with a dynamic, highly motivated, researcher in the field of “Natural Language Processing” for the NLP Unit of the Digital Health and Wellbeing (dHWB) Center. The research activity will focus on: · Integrating heterogeneous knowledge in NLP models (e.g., integration of common sense and domain knowledge); · Adapting NLP models to complex and dynamic communicative contexts (e.g., physical world grounding for human-robot interaction). On the topics above, the candidate will have the possibility to supervise PhD students and develop their own specific research directions in accordance with the strategies of the Research Unit and the dHWB Center. The candidate will work in collaboration with other researchers of the NLP Unit and of the dHWB Center, as well as with the partners involved in EU projects. The candidate is also expected to contribute to proposals for funded activities, including reporting and dissemination of results (in both academic and popular venues). Furthermore, we expect the successful candidate to contribute to maintain a strong role of FBK in the Italian and international NLP community. The purpose of the current call is an opportunity of working into an internationally renowned NLP group and developing their own research path in accordance with the long term strategy of the NLP Unit and the dHWB Center. *Job requirements* *The ideal candidates should have:* · PhD Degree in areas related to Computer Science or Computational Linguistics; · Research Expertise in Information Extraction; · Publication track record in the field of NLP; · Good Knowledge in application of deep learning techniques in NLP; · Strong programming skills; · Good knowledge and proficiency of the English language; · Team working attitude; · Good communication and relational skills; · Autonomy in developing research and organising work activities; *Additional requirements:* · Experience in supervision of internship and thesis of bachelor and master level on topics related to NLP; · Experience in working for international research projects; *FBK actively seeks diversity and inclusion in the workplace and is also committed in promoting gender equality.* *Employment* *Type of contract*: fixed term contract – full time *Start date*: preferably from May 2023 *Duration*: 3 years *Gross annual salary*: about € 39.500 *Workplace*: Povo - Trento (Italy) *Application* Interested candidates are requested to submit their application by completing the online form (https://jobs.fbk.eu/). Please make sure that your application contains the following attachments (in pdf format): · Detailed CV including list of scientific publications · Motivation letter · Email address contact for two referees *Application deadline: 11 April, 2023* *About FBK* FBK is a private research institution devoted to excellence in research in numerous disciplines and designated to the role of keeping the Autonomous Province of Trento in the mainstream of European and international research. Each research area is assigned to a specific research center, of which there are eleven totals. Information regarding the research centers, their activities and production is available at http://www.fbk.eu/research-centers. The Digital Health and Wellbeing (dHWB) Center <https://www.fbk.eu/it/digital-healthwellbeing/> focuses on supporting an equitable and sustainable public healthcare system based on the pervasive use of digital technologies and AI by both empowered citizens and healthcare professionals, in the context of the 4P medicine. The activities of the dHWB Center focus on promoting and supporting a value-chain that combines high-quality scientific research (open and targeted) and innovation (social and technological) to have a significant impact on society (citizens and healthcare system) and market. The Natural Language Processing (NLP) research unit <https://ict.fbk.eu/units/nlp/> develops computational models of human languages, focusing on written texts. We are active in the following areas: *text mining (*document classification, information extraction and ontology population from text, semantic inferences, analysis of the sentiment and of the emotional content of texts); *conversational agents (*task oriented dialogue systems, collaborative human-machine dialogues, generation of explanations); and development of *linguistic resources*, particularly for the Italian language. In all the above areas, deep learning techniques are exploited. A common issue concerns the “explainability” of the choices carried out by the systems. We are fond of contributing to the Italian NLP community. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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Postdoctoral Fellow in Data Science with focus on NLP
by Tony Lindgren 15 Mar '23

15 Mar '23

Project description The position is associated with the EFRA<https://efraproject.eu/> project on food safety with the main goal to deliver the first analytics-enabled, secure-by-design, green data space for AI-enabled food risk prevention. To this end it will utilize NLP, machine learning and explainable methods for knowledge discovery from heterogeneous data sources (including multilingual data). The intention is to build a novel data management and analytics framework, based on three pillars: (1) Data hub - searchable data integration of heterogeneous data, (2) Analytic tools - used together with the data hub to distill and combine useful insights regarding food safety from available data, and (3) Data and Analytics marketplace - a single resource for stakeholders in food safety to interact with both data and predictions methods for food safety. The final product will be a set of methods and tools for integrating massive and heterogeneous food safety related data sources, a set of predictive models for learning from these data sources, with emphasis on interpretability and explainability of the models' rationale for the predictions. A large extent of the data utilized in this project will be in a textual format, hence expertise in the field of NLP is needed for this position. Main responsibilities The postdoctoral fellow will be involved in all parts of the research project with emphasis on NLP and the explainability of machine learning in relation to the food safety domain. This includes collaborating with all project partners, performing data analysis tasks, developing and testing NLP and machine learning algorithms, and publishing research results. All of the above will be done in collaboration with other members of the research group. Qualification requirements Postdoctoral positions are appointed primarily for purposes of research. Applicants are expected to hold a Swedish doctoral degree or an equivalent degree from another country. Assessment criteria The degree must have been completed at latest before the employment decision is made, but no more than three years before the closing date. An older degree may be acceptable under special circumstances. Special reasons refer to sick leave, parental leave, elected positions in trade unions, service in the total defense, or other similar circumstances as well as clinical attachment or service/assignments relevant to the subject area. In the appointment process, special attention will be given to the following skills: * Good technical knowledge of data science with emphasis on NLP, data analysis and machine learning methods * Experience within food safety research is a merit * Excellent communication skills in English and very good programming skills (for example in Python, Matlab, Java or R) * The applicant should be highly motivated, flexible, have good communication skills, be able to work independently as well as collaborate with other researchers and practitioners. Closing date: 20/31/2023 Use the link below to read more about the position and apply for the position https://www.su.se/english/about-the-university/work-at-su/available-jobs?rm… Tony Lindgren Ph. D., Docent, Head of the Systems Analysis and Security Unit Department of Computer and Systems Sciences Stockholm University Postbox 7003, 164 07 Kista, Sweden Visiting address: Borgarfjordsgatan 12, Kista Phone: +46-8-16 17 01, Mobile: +46-70-190 68 28 http://dsv.su.se<http://dsv.su.se/>

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PhD position in Computational / Sociolinguistics at the University of Luxembourg
by Christoph PURSCHKE 15 Mar '23

15 Mar '23

dear colleagues, in the context of an upcoming research project (TRAVOLTA – Tracing Attitudes and Variation in Online Luxembourgish Text Archives), we currently have one open position for a doctoral candidate with a background in nlp, computational linguistics or sociolinguistics. the candidate will be a member of the department of humanities at the university of luxembourg. the project will be the first to monitor the development of luxembourgish into a fully-fledged written language using data from the rtl.lu<http://rtl.lu/> news portal. we will develop state-of-the-art tools and pipelines for nlp in small language-contexts and use them to trace variation and social stances in written text. the starting date of the project is 01/09/2023. additional information about the project can be found here<https://purschke.info/en/travolta/>. it would be great if you could share the position in your respective networks. please also feel free to reach out should you have any questions regarding the position or would be interested in applying. the position will be filled for 3 + 1 years max. with a current yearly salary of roughly 38k €. given the multilingual setup of the university and the special requirements of the project, candidates should have proficiency in english and german (intermediate), luxembourgish would be an asset, of course. thx & cheers christoph -- We are looking for a Doctoral candiate in Computational Linguistics / Sociolinguistics * Research in the field of Computational Linguistics/Sociolinguistics with a focus on attitudes & stances in written Luxembourgish * Background in * Either: Computational Linguistics, Computer Science, or a related field with prior experience in working with language data * Or: Sociolinguistics, Linguistics, or a related field with prior experience in data science applications (NLP, Python, r) * Full profile & application portal: http://emea3.mrted.ly/39snq — Christoph Purschke Associate Professor in Computational Linguistics Head of the Culture & Computation Lab Faculty of Humanities, Education and Social Sciences UNIVERSITÉ DU LUXEMBOURG BELVAL CAMPUS 11, Porte des Sciences L-4366 Esch-sur-Alzette T +352 46 66 44 9226 W purschke.info<http://www.purschke.info> | cucolab.uni.lu<http://cucolab.uni.lu> christoph.purschke(a)uni.lu<mailto:christoph.purschke@uni.lu> Languages: DEU, ENG, FRA, ITA, LTZ, NDS, PYT Book a meeting: 30 min<https://fantastical.app/questoph/short-meeting> | 60 min<https://fantastical.app/questoph/long-meeting> | office hours<https://fantastical.app/questoph/office-hours>

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Canceled: LITHME WG1 TECH TALKS: "With a little help from NLP", R. Mitkov. 17.03.2023
by Fred Blain 15 Mar '23

15 Mar '23

________________________________ From: Rui Sousa Silva via Corpora <corpora(a)list.elra.info> Sent: Wednesday, March 15, 2023 12:29:12 PM To: corpora(a)list.elra.info <corpora(a)list.elra.info> Subject: [Corpora-List] LITHME WG1 TECH TALKS: "With a little help from NLP", R. Mitkov. 17.03.2023 *** APOLOGIES FOR CROSS-POSTINGS *** Dear all, The chairs of LITHME Working Group 1 - Computational Linguistics are pleased to invite you to our forthcoming online talk, ' With a little help from NLP: My Language Technology applications with impact on society(and my thoughts on the future of NLP) ', by Ruslan Mitkov. The talk will present original methodologies developed by the speaker, underpinning implemented Language Technology tools which are already having an impact on the following areas of society: e-learning, translation and interpreting and care for people with language disabilities. The first part of the presentation will introduce an original methodology and tool for generating multiple-choice tests from electronic textbooks. The application draws on a variety of Natural Language Processing (NLP) techniques which include term extraction, semantic computing and sentence transformation. The presentation will include an evaluation of the tool which demonstrates that generation of multiple-choice tests items with the help of this tool is almost four times faster than manual construction and the quality of the test items is not compromised. This application benefits e-learning users (both teachers and students) and is an example of how NLP can have a positive societal impact, in which the speaker passionately believes. The latest version of the system based on deep learning techniques will also be briefly introduced. The talk will go on to discuss two other original recent projects which are also related to the application of NLP beyond academia. First, a project, whose objective is to develop next-generation translation memory tools for translators and, in the near future, for interpreters, will be briefly presented. Finally, a project will be outlined which focuses on helping users with autism to read and better understand texts. The speaker will put forward ideas as to what we can do next. The presentation will finish with a brief outline of the latest (and forthcoming) research topics (to be) which the speaker plans to pursue and his vision on the future NLP applications. In particular, he will share his views as to how NLP will develop and what should be done for NLP to be more successful, more inclusive and more ethical. You can find a bio note of Ruslan Mitkov below. Since this talk might be of interest to other LITHME members, we took the liberty of sharing it with the whole network. The talk will take place on Friday, 17 March, at 13:00 (CET), via Zoom. Attendance, as usual, is free, but you will need to register in advance by clicking: https://videoconf-colibri.zoom.us/meeting/register/tJwrcO2urz0qHt3aELxrDnw_… We look forward to seeing you online on 17 March. All best Rui & Henrique Ruslan Mitkov - Bionote Prof Dr Ruslan Mitkov has been working in Natural Language Processing (NLP), Computational Linguistics, Corpus Linguistics, Machine Translation, Translation Technology and related areas since the early 1980s. Whereas Prof Mitkov is best known for his seminal contributions to the areas of anaphora resolution and automatic generation of multiple-choice tests, his extensively cited research (more than 270 publications including 20 books, 35 journal articles and 40 book chapters) also covers topics such as deep learning for NLP, machine translation, translation memory and translation technology in general, bilingual term extraction, automatic identification of cognates and false friends, natural language generation, automatic summarisation, computer-aided language processing, centering, evaluation, corpus annotation, NLP-driven corpus-based study of translation universals, text simplification, NLP for people with language disorders and computational phraseology. In addition, Ruslan Mitkov is well known for his vision in research based on innovative ideas and drive towards research output which seeks to enhance the work efficiency of different professions (e.g. for teachers, translators and interpreters) or seeks to improve the quality of life (e.g. for people with language disabilities) and which has significant impact beyond academia. Mitkov is author of the monograph Anaphora resolution (Longman) and Editor of the most successful Oxford University Press Handbook - The Oxford Handbook of Computational Linguistics whose second and substantially revised edition was published in June 2022. Current prestigious projects include his role as Executive Editor of the Journal of Natural Language Engineering published by Cambridge University Press and Editor-in-Chief of the Natural Language Processing book series of John Benjamins publishers. Dr Mitkov is also working on the forthcoming Oxford Dictionary of Computational Linguistics (Oxford University Press, co-authored with Patrick Hanks) and the Oxford Handbook of Phraseology Linguistics (Oxford University Press, co-authored with Gloria Corpas and Jean-Pierre Colson). Prof Mitkov has been invited as a keynote speaker at more than 200 international conferences. He has acted as Chair or Programme Chair of more than 65 international conferences on Natural Language Processing (NLP), Machine Translation, Translation Technology, Translation Studies, Corpus Linguistics and Anaphora Resolution. He is asked on a regular basis to review for leading international funding bodies and organisations and to act as a referee for applications for Professorships both in North America and Europe. Ruslan Mitkov is regularly asked to review for leading journals, publishers and conferences and serve as a member of Programme Committees or Editorial Boards. Prof Mitkov has been an external examiner of many doctoral theses and curricula in the UK and abroad, including Master’s programmes related to NLP, Translation and Translation Technology. Prof Mitkov is Coordinator (Director) of the first and only Erasmus Mundus Master’s Programme in Technology for Translation and Interpreting - an innovative and inspirational programme, with a strong research focus but an equally strong emphasis on business; leading companies in the global translation and language industry participate as associated partners. Dr Mitkov has considerable external funding to his credit (more than £ 20,000,000) and has been Principal Investigator of 25 projects, are funded by UK research councils, by the EC as well as by companies and users from the UK and USA. Ruslan Mitkov received his MSc from the Humboldt University in Berlin, his PhD from the Technical University in Dresden and worked as a Research Professor at the Institute of Mathematics, Bulgarian Academy of Sciences, Sofia. Mitkov is Professor of Computational Linguistics and Language Engineering at the University of Wolverhampton which he joined in 1995 and where he set up the Research Group in Computational Linguistics. His Research Group has emerged as an internationally leading unit in applied Natural Language Processing and members of the group have won awards at different NLP/shared-task competitions and conferences. In addition to being Head of the Research Group in Computational Linguistics, Prof Mitkov is also Director of the Research Institute in Information and Language Processing and Director of the Responsible Digital Humanities Lab. The Research Institute consists of the Research Group in Computational Linguistics and the Research Group in Statistical Cybermetrics, which is another top performer internationally. Ruslan Mitkov is Vice President of ASLING, an international Association for promoting Language Technology. Dr Mitkov is a Fellow of the Alexander von Humboldt Foundation, Germany, was a Marie Curie Fellow, Distinguished Visiting Professor at the University of Franche-Comté in Besançon, France and Distinguished Visiting Researcher at the University of Malaga, Spain; he also serves/has served as Vice-Chair for the prestigious EC funding programmes ‘Future and Emerging Technologies’ and ‘EIC Pathfinder Open’. In September 2022 the renowned National Board of Medical Examiners (USA) presented Prof Mitkov with a certificate of distinguished collaboration which resulted in lasting impact on the strategic planning and decision making of the US organisation and their employment of NLP solutions to assessment for the last 17 years. In recognition of his outstanding professional/research achievements, Prof Mitkov was awarded the title of Doctor Honoris Causa at Plovdiv University in November 2011. At the end of October 2014 Dr Mitkov was also conferred Professor Honoris Causa at Veliko Tarnovo University and on 25 October 2022 Prof R Mitkov received the title ‘Doctor Honoris Cause’ for the third time, this time awarded by New Bulgarian University, Sofia. Rui Sousa Silva Professor Auxiliar | Assistant Professor PhD Faculdade de Letras da Universidade do Porto | Faculty of Arts and Humanities of the University of Porto CLUP-Centro de Linguística da Universidade do Porto | Linguistics Centre of the University of Porto www.linguisticaforense.pt<http://www.linguisticaforense.pt> | https://s.up.pt/qjur [Text Description automatically generated with medium confidence] Rui Sousa Silva. ~ Professor Auxiliar | Assistant Professor www.letras.up.pt | www.clup.pt | www.linguisticaforense.pt

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2024

2023

2022