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Job Announcement: Assistant Professor of Translation Technologies and Artificial Intelligence
by Patrick Drouin 08 Oct '23

08 Oct '23

Assistant Professor of Translation Technologies and Artificial Intelligence Department of Linguistics and Translation Faculty or Arts and Sciences University of Montréal Job description The Department of Linguistics and Translation invites applications for a full-time assistant professor position in Translation Technologies and Artificial Intelligence. Responsibilities * The successful candidate will be expected to teach at the undergraduate and graduate levels, supervise graduate students, pursue research, publication and outreach activities as well as contribute to the academic life of the University. * Teaching activities will include training undergraduate students in the use of Machine Translation, Translation Technologies and the use of Artificial Intelligence in Translation. * Graduate research and teaching activities will focus on theoretical and methodological issues in Translation technologies, in particular Neural Machine Translation, Artificial Intelligence and Natural Language Processing from a multilingual perspective. * The successful candidate will be called upon to develop or consolidate collaborations with professional circles and work with research teams working in Artificial Intelligence, in Montreal, in Canada and internationally. Requirements * PhD in translation, language sciences, computer science or a relevant field; * Excellent research and publication record in the field; * Demonstrated ability to provide high quality university education; * Membership in the Ordre des traducteurs, terminologies et interprètes agréés du Québec (OTTIAQ) or a professional translation association will be considered an asset. * Have sufficient knowledge of the French language or be determined to learn it once on the job through the French language learning support program offered by UdeM, under the Language Policy of the Montreal university. The successful candidate's file, depending on their expertise and interest, could be proposed for a position as an IVADO Professor. These positions offer improved starting conditions. The person will participate in the ambitious project (IAR3) aimed at the development and adoption of robust, reasoning and responsible artificial intelligence for which IVADO has just obtained an Apogée grant. How to submit your application The application file sent to the Department Chair should contain the following documents: * a cover letter; application must include in the cover letter one of the following statements: “I am a citizen/ permanent resident of Canada.” or “I am not a citizen or permanent resident of Canada.” * a research statement (approximately one page); * a curriculum vitæ; * a copy of recent publications or research work; * a statement on teaching philosophy (maximum one page); * a research statement (maximum two pages); * three letters of recommendation are also to be sent directly to the Department Chair by the referees. Application file and letters of recommendation must be sent by email before November 15, 2023 to: Patrick Drouin, Chair Department of linguistics and Translation Faculty des Arts and Sciences Email : direction(a)ling.umontreal.ca Website : https://ling-trad.umontreal.ca

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Two tenure-track positions in Computational Linguistics at Indiana University, Bloomington
by Francis Tyers 07 Oct '23

07 Oct '23

Apologies for cross-posting. Dear all, https://indiana.peopleadmin.com/postings/20630 The Department of Linguistics at Indiana University (https://linguistics.indiana.edu/) invites applications for up to two tenure-track positions at the level of Assistant Professor in Computational Linguistics beginning Autumn 2024. Candidates need to have a research area in Computational Linguistics that aligns with interests in the department and/or helps strengthen the research and teaching profile of the Computational Linguistics programs at IU. Preference will be given to candidates with a research focus in the area of speech technologies (recognition or synthesis), with an interest in developing methodologies for under-resourced languages or in resource-constrained environments, but other research areas will also be considered. Evidence of an active research agenda and a strong commitment to innovative teaching is required for consideration. A PhD in computational linguistics or natural language processing is required at the time of appointment. The program operates in a very interdisciplinary environment, with close connections to Cognitive Science, Computer Science, Information and Library Science, Psychology, Speech and Hearing Sciences, and the language programmes, and candidates are expected to fit into this collaborative landscape. Collaborative research and joint advising of students in the departments of Computer Science and Informatics will be possible. The College of Arts and Sciences is committed to building and supporting a diverse, inclusive, and equitable community of students and scholars. Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status. Inquiries can be directed to Dr. Sandra Kuebler at skuebler(a)iu.edu or Dr. Francis Tyers at ftyers(a)iu.edu. Best regards, Francis M. Tyers

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Call for academic position IDIA - University of Chile
by Felipe Bravo 07 Oct '23

07 Oct '23

We are seeking a talented, highly motivated, academic with the potential to expand the research and teaching activities related to the broad field of data science at Universidad de Chile. This is a unique opportunity to join the recently established Initiative for Data and Artificial Intelligence (IDIA) and collaborate with an interdisciplinary group of academics from the Faculty of Physical and Mathematical Sciences (FCFM) at Universidad de Chile The position is full-time, open-rank, and leads to a tenure track. Salary will depend on the initial evaluation, for reference, the starting salary for an Assistant Professor ranges between CLP$3.400.000 and CLP$4.000.000 per month before taxes. You are expected to lead a successful research agenda that attracts grant funding, as well as be committed to teaching activities both for undergraduate and graduate programmes. As part of IDIA, you will play an active role in management and decision-making. As a member of Universidad de Chile, you will be responsible for promoting equality, diversity, and inclusion in all instances within our institution. Teaching load is 5 courses per 2 years. You will have a doctorate and postdoctoral experience that demonstrates your leadership as a researcher in the fields of data science, machine learning, or artificial intelligence. Furthermore, you will have the ability to foster collaboration in the abovementioned fields within FCFM, in particular, to engage and motivate students at all levels and from all backgrounds. You will also participate in our Master of Data Science as lecturer and supervisor, thus interacting with postgraduate students of a broad background working on applied and theoretical data science projects. For an informal discussion about the post, please contact the IDIA Director Dr Felipe Tobar (ftobar [AT] uchile [DOT] cl) Applications should be submitted directly to the website https://concurso-academico.uchile.cl/ and the application details are available here <https://idia.uchile.cl/wp-content/uploads/2023/09/BASES_IDIA_2305_Escuela_d…> *Deadline: 30 November 2023.* *Universidad de Chile is committed to equity, diversity, and social inclusion. We strongly encourage applications from under-represented individuals in the profession across ethnic and national origin, physical ability, and gender and sexual identity. Universidad de Chile believes in the value of different perspectives and backgrounds to build world-class research groups.* Source: https://idia.uchile.cl/2023/09/call-for-academic-position-idia/

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Corpus MOOC - free online course running right now
by Brezina, Vaclav 06 Oct '23

06 Oct '23

Hi all, Lancaster University is currently running a free online course on Corpus linguistics (8 weeks). There are some very interesting discussions on the platform already and a dedicated team of mentors is ready to answer your questions about CL and its various applications. It's still possible to register for free: https://www.futurelearn.com/courses/corpus-linguistics Vaclav Professor Vaclav Brezina Professor in Corpus Linguistics Department of Linguistics and English Language ESRC Centre for Corpus Approaches to Social Science Faculty of Arts and Social Sciences, Lancaster University Lancaster, LA1 4YD Office: County South, room C05 T: +44 (0)1524 510828 [cid:image001.png@01D9F871.689A8410]@vaclavbrezina [cid:image002.png@01D9F871.689A8410]<http://www.lancaster.ac.uk/arts-and-social-sciences/about-us/people/vaclav-…>

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OFAI 2023 Fall Lecture Series
by Tristan Miller 06 Oct '23

06 Oct '23

The Austrian Research Institute for Artificial Intelligence (OFAI) is delighted to announce its 2023 Fall Lecture Series. The talks are intended to familiarize attendees with the latest research developments in AI and related fields, and to forge new connections with those working in other areas. The main theme of the current series is large language models. Lectures will be held at 18:30 Vienna time online via Zoom (meeting ID: 842 8244 2460; passcode: 678868); in-person attendance at OFAI is also possible for certain lectures. Attendance is open to the public and free of charge. No registration is required. For further details, sign up to our mailing list at <https://www.ofai.at/newsletter.html> or check the Lecture Series web page at <https://www.ofai.at/lectures>. Schedule: 11 October 2023 at 18:30 CEST (UTC+2) Nafise Sadat Moosavi (University of Sheffield) Challenges of End-to-End Reasoning in NLP Calendar link: https://www.ofai.at/calendar/2023-10-11moosavi.ics 23 October 2023 at 18:30 CEST (UTC+2) Simon Penny (University of California Irvine and Nottingham Trent University) Skill: Know-how, Artisanal Practices and 'Higher' Cognition Calendar link: https://www.ofai.at/calendar/2023-10-23penny.ics 8 November 2023 at 18:30 CET (UTC+1) Erich Prem (University of Vienna) Ethics of AI: Good AI Versus the Totalitarian Enforcement of Norms Calendar link: https://www.ofai.at/calendar/2023-11-08prem.ics 22 November 2023 at 18:30 CET (UTC+1) Dagmar Gromann (University of Vienna) Do Large Language Models Grasp Metaphors? Calendar link: https://www.ofai.at/calendar/2023-11-22gromann.ics 6 December 2023 at 18:30 CET (UTC+1) Ivan Habernal (Paderborn University) Privacy in Natural Language Processing: Are we There yet? Calendar link: https://www.ofai.at/calendar/2023-12-06habernal.ics 20 December 2023 at 18:30 CET (UTC+1) Thomas Graf (Stony Brook University) Linguistics and Symbolic Computation in a World of Large Language Models Calendar link: https://www.ofai.at/calendar/2023-12-20graf.ics 17 January 2024 at 18:30 CET (UTC+1) Stefanie Höhl (University of Vienna) Social Rhythms and Biobehavioral Synchrony in Early Human Development Calendar link: https://www.ofai.at/calendar/2024-01-17hoehl.ics 31 January 2024 at 18:30 CET (UTC+1) Clemens Heitzinger (TU Wien) Reinforcement Learning and its Application in Medicine and Large Language Models Calendar link: https://www.ofai.at/calendar/2024-01-31heitzinger.ics 14 February 2024 at 18:30 CET (UTC+1) Brigitte Krenn and Stephanie Gross (OFAI) Bias in Language Models Illustrated by the Example of Gender Calendar link: https://www.ofai.at/calendar/2024-02-14krenn.ics -- Dr.-Ing. Tristan Miller, Research Scientist Austrian Research Institute for Artificial Intelligence (OFAI) Freyung 6/6, 1010 Vienna, Austria | Tel: +43 1 5336112 12 https://logological.org/ | https://punderstanding.ofai.at/

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Call For Volunteers: EMNLP 2023
by Mamoru Komachi 06 Oct '23

06 Oct '23

A limited number of student volunteers are needed for the success of EMNLP 2023. Both online and in-person event volunteers are needed. Tasks may include assisting at the registration desk, filling delegate packs, managing poster board sessions and displays, serving as volunteer coordinator for the day, and/or AV/technical support such as (but not limited to) managing social media (X/Twitter) and providing assistance for conference events including tutorials, the main conference, and workshops (either online or in-person versions). In exchange for one full day equivalent of work, students receive free registration to the main conference (including the ACL membership fee of the current year), workshops and tutorials, and the social events. The work will be divided, probably into two half-day shifts, and the shifts will be scheduled to maximize volunteer access to the conference events. Webpage: https://2023.emnlp.org/volunteers Application deadline: October 20, 2023 Notification of acceptance: November 3, 2023 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Submission Procedure Applicants for the Student Volunteer Program must be full-time students and should submit the completed application form where we ask a few questions and a one-page CV (resume). Students should make travel arrangements and accommodations independent of the results of the application. We plan to offer the option of reduced rate student housing for accepted volunteers, but please note that you are still responsible for the cost of accommodation. EMNLP Singapore 2023 Volunteer Registration Application: https://docs.google.com/forms/d/e/1FAIpQLScHMDNQJbdU9dT4eUZTpxXIJkhF3rc0_Zv… Contact Details Student Volunteers Chairs : emnlp2023-volunteers(a)gmail.com Kevin Duh, Johns Hopkins University (USA) Ekaterina Kochmar, MBZUAI (UAE) Mamoru Komachi, Hitotsubashi University (Japan)

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Call for participation: SCAI Eval 2024 Shared Task on Conversational Search Evaluation
by Johannes Kiesel 06 Oct '23

06 Oct '23

SCAI Eval 2024 Shared Task on Conversational Search Evaluation ============================================================== Conversational search has many faces, and we want so see them all. Rather than evaluating systems, this shared task calls on the community to gather comprehensive evaluation resources to provide a clearer picture of evaluation: 1. Example data of diverse search-oriented conversations; 2. Definitions and annotation guidelines for aspects to evaluate (e.g., correctness, coherence, readability); and 3. Implementations of evaluation metrics. Both novel and already published contributions are welcome. Contributors will be invited to present at the next SCAI workshop (venue to be determined) and co-author a SIGIR Forum article. So join our mailing list at https://groups.google.com/g/scai-info to stay up-to-date with our task and get into contact. Web: https://scai.info/scai-eval-2024/ (details, instructions, examples) Mailing list: https://groups.google.com/g/scai-info Submission deadlines: - January 15, 2024: deadline for aspect definitions - January 29, 2024: deadline for data and metrics Task Committee: - Johannes Kiesel, Bauhaus-Universität Weimar - Maik Fröbe, Friedrich-Schiller-Universität Jena - Andrea Papenmeier, University of Twente - Alexander Frummet, Universität Regensburg - Paul Owoicho, University of Glasgow -- Johannes Kiesel Bauhaus-Universität Weimar Bauhausstr. 9a, Room 106 99423 Weimar, Germany Phone: +49 (0)3643 - 58 3720

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Advance notice: ‘Statistics for linguistics with R’ bootcamp (08 – 12/07/2024)
by Magali Paquot 06 Oct '23

06 Oct '23

The Linguistics Research Unit of the Institute of Language and Communication (Université catholique de Louvain, Belgium) will be hosting Stefan Gries’s next bootcamp on statistics for linguistics with R from 08 to 12 July 2024. The ‘Statistics for linguistics with R’ bootcamp is a hands-on introduction to statistical methods for both graduate students and seasoned researchers and is loosely based on the third edition (2021) of Gries’s textbook Statistics for linguistics with R. The course is intended for linguists who already have a basic knowledge in statistics and some experience using R and who wish to improve their proficiency in statistical modeling of linguistic data. Using the open source software and programming language R, we will deal with: • fundamental aspects of fixed effects regression modeling for both numeric and binary response variables; these include exploration of data and their preparation for modeling, model formulation and selection; numerical and visual interpretation and evaluation of models; • more advanced aspects of fixed-effects regression modeling such as contrasts for ordinal predictors, orthogonal contrasts, curvature of numeric predictors, and maybe general linear hypothesis tests; • the theoretical foundations of mixed-effects regression modeling; • applications of mixed-effects modeling for both numeric and binary response variables; • tree-based methods and random forests: 'fitting' and interpreting them with importance scores, partial dependence scores, and detecting (not just capturing) interactions. The website of the bootcamp will be online in early 2024 and online registration will start on 1 March 2024, 11 am CEST. The number of participants is limited. If you would like to participate, mark the date in your diary! Contact email: magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be> Magali Paquot Convenor

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Corpus linguistics & applied linguistics research 2023 online talks
by pascualf＠um.es 06 Oct '23

06 Oct '23

I’m sharing the following information about "Corpus linguistics & applied linguistics research 2023", a series of talks organised by the University of Murcia from 11 to 30 October 2023. The talks will take place via ZOOM. This is a free event. Registration links will be provided for each of the talks below. After registration, you’ll receive an email with the webinar link. Contrastive approaches in corpus linguistics research Dr Niall Curry, Manchester Metropolitan University October 11, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_d68rw3V_TnOGNWDg6sXHnw Using Corpus Linguistics to Interpret the Law Dr Jesse Egbert, Northern Arizona University October 18, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_uAmw72l1T-en-4y0LnZffg Multiple correspondence analysis and corpus linguistics research Dr Isobelle Clarke, Lancaster University October 25, 17:30 (Madrid time) / 16:30 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_s0aPEXAFTQe_App0qS7Erg The Core Metadata Schema for L2 data: Collaborative efforts towards improved data findability, metadata quality and study comparability in L2 research Dr Magali Paquot, UCLouvain October 30, 18:00 (Madrid time) / 17:00 (UK time) Registration link: https://umurcia.zoom.us/webinar/register/WN_a6Wkw7llSG2HrvJ9yIGKvQ You can check out the 2021 and 2022 talks here: https://www.youtube.com/channel/UCKjKIIQL6u1mXD2V9ZaT-_Q/featured Please feel free to share this information with anyone interested in these research areas. Best wishes, Pascual Pérez-Paredes https://webs.um.es/pascualf

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Research fellowship in NLP / event extraction at the University of Oslo
by Erik Velldal 05 Oct '23

05 Oct '23

[Apologies for cross-posting] A postdoc-level position as Research Fellow in Natural Language Processing is available in the Language Technology Group (LTG) at the University of Oslo (UiO), Norway. The 3-year position is affiliated with a new research project focusing on event extraction in the domain of armed conflicts, a cross-disciplinary collaboration bridging NLP and political science / conflict research. For more information, please see the full announcement here: https://www.jobbnorge.no/en/available-jobs/job/251514/researcher-in-natural… The closing date is November 2nd, 2023. Please do not hesitate to contact me for any further information. Best regards, -erik -- Erik Velldal Language Technology Group Section for Machine Learning Department of Informatics, University of Oslo

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2025

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