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Final Call for Papers: KONVENS Teaching for NLP Workshop
by Annemarie Friedrich 24 May '23

24 May '23

KONVENS Teaching for NLP Workshop News: *Submission open*Workshop Date & Venue * September 18, 12pm - 6pm + Workshop Dinner * TH Ingolstadt * Co-located with KONVENS 2023 * Submission Deadline: June 9, 2023 * Notification: July 5, 2023 * Camera Ready Deadline: July 15, 2023Contact konvens-teach4nlp(a)googlegroups.com Workshop website: https://gscl.org/en/events/teach4nlp2023Aim of the Workshop The fast-paced nature of progress in NLP poses unique challenges to educators engaging in curriculum design for NLP courses and NLP-related degree programs. Its rapid growth has led to the creation and revision of thousands of courses and degree programs at universities and online, as well as new educational materials focused on emerging subareas of NLP (e.g., prompting, ethics in NLP systems). For the Workshop on Teaching NLP we propose to bring the NLP community together at KONVENS 2023 to discuss the following topics: * What are key elements of NLP and/or CL curricula? * What adaptations are necessary to cater to different groups (i.e. core computer science students vs. core CL students vs. Digital Humanities students) * What topics should be covered for students studying NLP/CL as major subject, which topics should be covered for students studying NLP/CL as minor subjects? * What is unique about teaching NLP/CL in German speaking contexts? * What challenges do we face when working with German or other non-English languages as a language, data sets, etc.? * What are key differences between regular universities and universities of applied sciences? We invite submissions relating to teaching CL/NLP in applied linguistics, digital humanities, computational linguistics, data science, or computer science.Call for Contributions One of our major goals is to provide resources for teachers and instructors that can last beyond the discussions held on the day of the workshop. We invite 2-3 page short papers or 6-8 page long papers (with unlimited pages of references) that can be position papers on teaching methodology and theory or teaching materials (lecture slides, exercises, project descriptions) with 2-3 page short papers describing the materials. * Tools and methodologies (e.g. teaching with code, active learning, flipped classroom) * Adapting existing curriculum to incorporate new NLP advancements * Choice of topics to cover for different target audiences * Developing courses for (IT) students without linguistics background * Developing courses for students who have non-computer science backgrounds * Teaching NLP in German speaking context (or using other languages than English in general) * Position of NLP in curricula at universities of applied sciences * Ethics, reproducibility, and responsible practices Existing resources for teaching NLP are often scattered across course and faculty web pages or they are outdated, such as the ACL Wiki’s page on Teaching. We plan to join forces with the ACL-wide Teaching NLP workshop to add resources to their repository in order to make our material more generally available. Submission will be single-blind (i.e., they should not be anonymous) and follow the ACL style guidelines. Submission must be electronic via the KONVENS CMT System. Select the Teach4NLP Workshop track during submission. After submitting your paper, you can submit attachments in a second step.Organizers * Margot Mieskes is a Professor for Information Science at the University of Applied Sciences, Darmstadt. She has studied computational linguistics in Stuttgart, Edinburgh, and Cambridge, and did her PhD in Heidelberg. * Jannik Strötgen is a faculty member of FH Karlsruhe. He holds a PhD from the University of Heidelberg. * Christian Wartena holds a PhD from the University of Potsdam. He worked for several companies in Germany and the Netherlands on machine translation, morphological analysis, keyword extraction and recommender systems. Since 2011 he is professor for knowledge and language processing at the University of applied sciences and arts in Hannover, where he teaches courses on natural language processing, text mining, information retrieval and semantic web in the Information Management program. He also regularly teaches NLP courses at the University of Hildesheim. * Annemarie Friedrich is a Professor for Natural Language Understanding at the Faculty of Applied Computer Science at the University of Augsburg, and the Vice President of the GSCL. She holds a PhD in Computational Linguistics from Saarland University and is highly interested in activation concepts in university teaching. * Stefan Grünewald is a PhD student working at Stuttgart University and the Bosch Center for Artificial Intelligence. He is a member of the Enabling team at Bosch, teaching machine learning to Bosch employees with a wide range of job roles. His research interests include syntax (specifically syntactic dependencies) and neural architectures for structured prediction in NLP. Furthermore, his responsibilities within Bosch involve teaching NLP and ML concepts to non-experts.Program Committee * Margot Mieskes * Jannik Strötgen * Christian Wartena * Annemarie Friedrich * Stefan Grünewald * Torsten Zesch * Barbara Plank * Cerstin Mahlow * Ines Rehbein * Alessandra Zarcone * Heike Adel * Nils Reiter * Anette Frank * Heike Adel * Jakob Prange * Ulrike Padó

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Postdoc in grounding language in vision and robotics and others, application deadline: 1 June
by Simon Dobnik 24 May '23

24 May '23

[apologies for x-posting] CLASP Centre for Linguistic Theory and Studies in Probability, at University of Gothenburg has several (2-3 year) postdoctoral positions in computational linguistics and/or natural language processing. Application deadline on June 1, 2023 23:59 (CEST, UTC+2) For details please see https://gu-clasp.github.io/recruitment/ and https://www.gu.se/en/work-at-the-university-of-gothenburg/vacancies If you are interested in the project on grounding language in vision and/or robotics, please contact me at simon.dobnik(a)gu.se Project description: https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… I am looking for candidates with a strong background in computational linguistics, natural language processing and machine learning, ideally with experience with computational semantics, language modelling and working with multi-modal representations. There is also an opening for a PhD position with specialisation on data privacy, psedonymisation and bias of both training data and ML models within within the Grandma Karl research environment, deadline 27 June, https://web103.reachmee.com/ext/I005/1035/job?site=7&lang=UK&validator=9b89… Best regards, Simon — Simon Dobnik Professor of Computational Linguistics CLASP & FLoV, University of Gothenburg https://www.gu.se/en/about/find-staff/simondobnik

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GenChal proposals @INLG 2023: final call for submissions
by Simon Mille 24 May '23

24 May '23

Hi everyone, if you have any proposal for a shared task related to NLG, don't hesitate to submit it to the GenChal special session at the next INLG, for publicising and/or discussing it with the NLG community! Info below. ======================================= GenChal @ 16th International Conference on Natural Language Generation Prague, Czech Republic, September 11-15 2023 INLG Twitter: @inlgmeeting INLG website:https://inlg2023.github.io/ ======================================= Call for new Shared Task proposals Submission deadline: June 5th 2023 We invite submissions of papers describing ideas for future shared tasks in the general area of language generation (Generation Challenges 2023). Proposed tasks can be in the area of core NLG, or in other research areas in which language is generated. Examples include, but are not limited to: data-to-text NLG, text-to-text generation (including MT and summarisation), combining core NLG and MT, combining core NLG and text summarisation, NLG quality estimation, NLG evaluation metrics, and/or generating language from heterogeneous data, including image and video. The Generation Challenges (GenChal) are an umbrella event designed to bring together a variety of shared-task efforts that involve the generation of natural language. This year, Generation Challenges will be held during a special session at the 16th International Conference on Natural Language Generation (INLG 2023 <https://inlg2023.github.io/>), scheduled on September 11-15 2023. The session will follow the format of previous GenChal results sessions, with presentations of results by the organisers of the generation challenges that are currently running, a poster session for task participants to present their submissions, as well as presentations of proposals for new shared tasks in the Task Proposals Track, and discussion sessions. You can see the previous GenChal tasks on the dedicated repository <https://sites.google.com/view/genchalrepository/home>. Submissions should describe possible future tasks in detail, including information regarding organisers, task description, motivating theoretical interest and/or application context, size and state of completion of data to be used, schedule and evaluation plans. Accepted shared tasks will be run in the 2024 iteration of INLG. Important dates (the dates on the website will be updated soon) - Submission deadline: June 5th 2023 - Notification: July 11th 2023 - Camera-ready submission: July 25th 2023 - INLG conference: September 11th-15th 2023 All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Submissions and format Submissions in the Shared Task Proposals track should be no more than 4 (four) pages long excluding citations, and should follow the ACLPUB formatting guidelines <https://acl-org.github.io/ACLPUB/formatting.html> and template files <https://2021.aclweb.org/downloads/acl-ijcnlp2021-templates.zip>. Proposals should be uploaded to the SoftConf <https://softconf.com/n/inlg2023/user/scmd.cgi?scmd=submitPaperCustom&pageid…> GenChal submission page, using the Submission type New shared task proposal. Submissions will be peer-reviewed by the program committee. As reviewing will not be blind, there is no need to anonymise papers. This is not intended to be a selective process, since the aim is to discuss new potential shared tasks with INLG delegates. However, the organisers reserve the right to reject proposals which do not fall within the scope of the GenChal initiative, or which do not follow guidelines. Accepted submissions will be published in separate GenChal 2023 proceedings on the ACL Anthology, as was done in 2022 <https://aclanthology.org/volumes/2022.inlg-genchal/>. Looking forward to seeing you at INLG! Simon, GenChal chair, on behalf of the INLG'23 organisers simon.mille(a)adaptcentre.ie *ADAPT Research Centre / Ionaid Taighde ADAPT* *-* *School of Computing, Dublin City University, Glasnevin Campus / Scoil na Ríomhaireachta, Campas Ghlas Naíon, Ollscoil Chathair Bhaile Átha Cliath*

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PHD THESIS (UClouvain) - CMesure: reliable and adaptive modeling of text readability in French as a foreign language
by Thomas François 24 May '23

24 May '23

Job : Ph.D. student (UClouvain) : CMesure: reliable and adaptive modeling of text readability in French as a foreign language L'UCLouvain recherche un chercheur ou une chercheuse pour un doctorat en traitement automatique du langage - bourse de doctorat à temps plein (100%) pour une durée de quatre ans - pour le Centre de traitement automatique du langage (Cental), de l'Institut langage et communication (ILC) à l’UCLouvain (Louvain-la-Neuve) - entrée en fonction: 1er septembre 2023 (négociable) Cette proposition de bourse de doctorat s’intègre dans le cadre d’un projet de recherche réalisé par le Centre de traitement automatique du langage (CENTAL, https://uclouvain.be/fr/instituts-recherche/ilc/cental), en collaboration avec FEI (France Éducation International, https://www.france-education-international.fr/). Le projet visera à développer un modèle d’évaluation automatisé de la lisibilité des textes pour le français langue étrangère (FLE). Il s’agira d’évaluer comment des algorithmes d’intelligence artificielle poussés permettraient de rendre des formules de lisibilité plus personnalisées, notamment en prenant en compte le type de lecture pratiquée, le genre du texte et la langue maternelle du lecteur. Dans un second temps, le projet visera à intégrer cette formule adaptative au sein d’un moteur de recherche pédagogique de textes en FLE, dont la pertinence des résultats sera évaluée par des professionnels du FLE. Ce projet bénéficie de plusieurs atouts. D’une part, il est ancré au sein d’un laboratoire dans les recherches en lisibilité sont reconnus internationalement. D’autre part, il profitera d’un partenariat stratégique avec France Éducation Internationale et d’un accès à des textes utilisés pour les examens certificatifs du DELF et du DALF, textes calibrés sur l’échelle du cadre européen commun de référence pour les langues (CECR). Cela constituera en un point de départ pour l’élaboration d’un modèle de lisibilité pour le FLE qui soit (1) plus fiable, car entraîné sur des données rigoureusement calibrées, et qui permette (2) d’explorer une question fondamentale en lisibilité, mais jamais étudiée à notre connaissance : l’impact de la langue maternelle sur les modèles, ainsi que celui du genre de texte et du type de lecture. Au sein de projet, le rôle du doctorant ou de la doctorante engagé consistera à mener l’essentiel de la recherche, à savoir (1) développer de nouvelles variables de lisibilité aptes à prendre en compte les caractéristiques pédagogiques et de genre des textes analysés ; (2) mettre au point un modèle machine learning (classique et/ou deep learning) non adaptatif à partir des textes du DELF et du DALF ; (3) mettre au point un modèle adaptatif et le comparer à sa version non adaptative et (4) intégrer ce modèle de lisibilité au sein d’un moteur de recherche adaptatif. Le chercheur ou la chercheuse devra également assurer la diffusion des résultats obtenus via des publications scientifiques et rédiger une thèse de doctorat. Il ou elle sera amené à collaborer étroitement avec les autres membres de l’équipe en vue d’assurer la bonne réalisation de ces tâches. Environment de travail : Le CENTAL est rattaché à l’Institut Langage & Communication (https://uclouvain.be/fr/instituts-recherche/ilc), qui fait partie de l’UCLouvain. Cette université est située à Louvain-la-Neuve (https://uclouvain.be/fr/sites/louvain-la-neuve), une ville piétonne, agréable à vivre et très dynamique. Le projet de recherche sera réalisé sous la direction du Pr. Thomas François (https://thomasfrancoisucl.wixsite.com/homepage), expert en lisibilité et en simplification automatique de la langue. Des missions à Paris (Sèvres) sont prévues afin d’assurer une bonne collaboration avec FEI. Cet organisme est mondialement reconnu pour son expertise dans le domaine de l’évaluation des niveaux de compétence en français langue étrangère (FLE) et est en charge de l’organisation des principaux tests de langues en français, à savoir le TCF, le DELF, ou le DAFL. Qualifications et aptitudes requises Le candidat répondra aux qualifications suivantes : * Être porteur d’un master en Linguistique computationelle, en Traitement automatique du langage (TAL), ou en Informatique (option en Intelligence artificielle). * Faire montre d’un excellent parcours académique * Disposer de bonnes compétences informatiques : * langages de programmation : Python, R (ou similaire) * la connaissance de scikit-learn, pandas, tensorflow/keras et/ou pytorch * systèmes : Linux de préférence * Bonne connaissance des principaux outils et algorithmes du TAL. La connaissance des réseaux de neurones profonds est un plus. * Excellente maîtrise du français (niveau C1 minimum) et bonne connaissance de l’anglais (niveau B2 minimum) * Autonomie, curiosité, sens du travail en équipe, capacité d’écoute et d’analyse des besoins, réactivité. Conditions d’engagement : Cette bourse de doctorat est soumise aux conditions suivantes : * À la date d’engagement, le doctorant doit être titulaire depuis au maximum 3 ans* d’un grade académique de master 120 crédits ou d’un grade reconnu comme équivalent. * Le montant net de la bourse est d’environ 2 370 euros par mois. * Le délai maximum fixé ci-dessus est augmenté d’une année par accouchement et/ou par adoption. Dossier de candidature : Date limite de remise du dossier : 22 juin Si vous êtes intéressé par ce poste, merci d'envoyer votre dossier de candidature à Thomas François par mail (thomas.francois(a)uclouvain.be). Celui-ci devra inclure : 1. un curriculum vitae détaillé en français ou anglais reprenant les différentes qualifications et aptitudes requises, les détails de votre parcours académique (grades, listes de cours), ainsi que les éventuelles publications et autres expériences académiques et scientifiques ; 2. une lettre de motivation en français, décrivant votre intérêt pour le poste, comment votre profil répond à la description du poste et aux objectifs du projet, etc. (maximum 2 pages) ; 3. une lettre de référence en français ou en anglais de la part d’un ou d’une de vos professeur(e)s. Les candidats retenus seront invités à participer à un entretien via vidéo-conférence selon des modalités qui leur seront ensuite transmises par mail. Plus d'informations : Les questions concernant le poste ou la procédure de candidature doivent être envoyées par e-mail à Thomas François (thomas.francois(a)uclouvain.be) avant le 15 juin. Pr. Thomas François Chargé de cours en linguistique appliquée Faculté de Philosophie, Arts et Lettres Université catholique de Louvain Institut Langage et Communication, PLIN, CENTAL et TeaMM Place Montesquieu, 3 - box L2.06.04 • B-1348 Louvain-la-Neuve • Belgium Tél. : +32 (0)10 / 47 37 36

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Two 3-year postdocs at the University of Birmingham
by Slava Jankin 23 May '23

23 May '23

Dear all, We are currently looking for two postdocs. One in computational social science <https://www.linkedin.com/jobs/view/3610418931/?refId=8hGL2KoI0ELhZiJ687XeFA…> (Generative AI and Democracy project) and one in natural language processing <https://www.linkedin.com/jobs/view/3610418933/?refId=dgx8vu0Yt5VyFUOroQrUzw…> (Causal Language Understanding project). Both positions are available at the Research Fellow (Grade 8) and Senior Research Fellow (Grade 9) levels. Both positions will be based in the Centre for AI in Government and Interdisciplinary Institute for Data Science and AI <https://www.birmingham.ac.uk/research/data-science/index.aspx>. We will start reviewing applications on *20 June* and invite shortlisted candidates for an interview on a rolling basis. If all positions are filled prior to the final closing date (30 September), we may close the advert, so we encourage early applications. I’m also more than happy to answer to any questions related to these posts. Best wishes, Slava _________ Slava Jankin Professor of Data Science and Government School of Government and School of Computer Science Turing Academic Lead University of Birmingham Edgbaston, Birmingham, B15 2TT, UK

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Call for Submission of ACL 2023 Findings Papers to LAW-XVII
by Annemarie Friedrich 23 May '23

23 May '23

Dear authors of papers accepted to Findings of ACL 2023, We are planning to invite a few selected Findings papers to present their work at the 17th Linguistic Annotation Workshop as a poster. The LAW-XVII (https://sigann.github.io/LAW-XVII-2023) is this year's edition of the annual workshop of the ACL Special Interest Group on Annotation (SIGANN). It provides a forum for the presentation and discussion of innovative research on all aspects of linguistic annotation, including the creation and evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. As in the past, the LAW will provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. If you are interested in presenting your work at the LAW-XVII on July 13, 2023, please submit the following via https://softconf.com/acl2023/law ("Make a new submission") by June 1, 2023 (anywhere on earth). During submission, you will be asked to provide: * A short paragraph stating why you think your paper is a good fit for LAW. Please refer to the Call for Papers on our workshop website for a list of relevant topics. * The final camera-ready version of your paper. * Information on the presenter(s) and whether they will participate onsite or remotely. Double-submission to several workshop is allowed as long as you state this during submission. Who is the presenter of the paper and whether the presenter is planning to attend onsite or remotely. Acceptance is subject to capacity. We are looking forward to an amazing workshop in Toronto! Best Regards, Annemarie Friedrich & Jakob Prange LAW-XVII Program Co-Chairs law-xvii-2023(a)outlook.de https://sigann.github.io/LAW-XVII-2023/

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PhD Position on Strategies for improving Neural Dialogue Models generation - Application deadline: *30th of May*
by Marco Guerini 23 May '23

23 May '23

---- Apologies for cross-posting. ---- The Language and Dialogue Technologies (LanD) group at Fondazione Bruno Kessler <https://www.fbk.eu/en/> (Trento, Italy) in conjunction with the ICT International Doctorate School of the University of Trento <https://iecs.unitn.it/> is pleased to announce the availability of the following fully-funded PhD position: *TITLE*: Strategies for improving Neural Dialogue Models generation *DESCRIPTION*: Conversational agents are experiencing a surge in interest given the continuous release of new models and the ever evolving scenario of NLG. Still, the actual focus is mainly on model size, training data size and prompt engineering. The interaction of these elements with related aspects, such as decoding strategies, knowledge guided generation, data quality, knowledge distillation -just to mention a few- can help in improving the models, especially for better factuality, reducing hallucination and increasing coherence among dialogue turns. The goal of this PhD Thesis is to overcome the shortcomings of present large language models by incorporating novel strategies for better generation. *Link to the call*: https://iecs.unitn.it/education/admission/reserved-topic-scholarships#A7 *CONTACTS*: guerini(a)fbk.eu, jacopo.staiano(a)unitn.it *COMPLETE DETAILS AVAILABLE AT*: https://iecs.unitn.it/education/admission/call-for-application *IMPORTANT DATES:* The deadline for application is May 30, 2023, hrs. 04:00 PM (CEST) *FURTHER INFORMATION: *For preliminary interviews, and should you need further information about the position, please contact Marco Guerini ( guerini(a)fbk.eu) and Jacopo Staiano (jacopo.staiano(a)unitn.it). Best Regards, Marco Guerini -- Marco Guerini, PhD www.marcoguerini.eu

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Assistant Professor position at Chalmers University of Technology
by Richard Johansson 23 May '23

23 May '23

The Department of Computer Science and Engineering at Chalmers University of Technology invites applications for an Assistant Professor position focused on the theoretical foundations of AI. https://www.chalmers.se/en/about-chalmers/work-with-us/vacancies/?rmpage=jo… This is a tenure-track position with a starting package. NLP-oriented candidates are very welcome to get in touch with me (richard.johansson(a)cse.gu.se) and discuss. The deadline for applying is *May 28*. Best regards, Richard Johansson

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Second Call for Task Participation: Medical NLP for Social Media and Clinical Texts (NTCIR-17 MedNLP-SC)
by Lis Kanashiro 23 May '23

23 May '23

============================================ NTCIR-17 MedNLP-SC https://sociocom.naist.jp/mednlp-sc/ Registration due: June 26, 2023 Evaluation period starts July 10, 2023 ============================================ ---------------- Invitation to the MedNLP-SC shared task ---------------- Continuing the series of NTCIR Natural Language Processing shared tasks and conferences, NTCIR-17 will be held in Tokyo on December 12-15, 2023. As in previous editions, NTCIR-17 features the MedNLP task on medical NLP. This year, MedNLP-SC is about Medical Natural Language Processing for Social Media and Clinical Texts. This task provides two types of data: - social media (artificially created tweets) in Japanese, English, German, and French in parallel; - radiology reports in Japanese. We invite you to explore the sample data at https://sociocom.naist.jp/mednlp-sc/ and participate in the task. --------------- Tasks ---------------- 1) Social Media (SM) Subtask: Adverse drug event detection (ADE) (Languages: Japanese, English, French, and German) 2) Radiology Report (RR) Subtask: TNM staging (Language: Japanese) More detail and examples are available at https://sociocom.naist.jp/mednlp-sc/ ------------------ Schedule ------------------ * March 2023: Train dataset initial release * June 26, 2023: Deadline for registration * June 26, 2023: Train dataset final release * July 10: Test dataset release * July 17, 2023: Deadline for submission of test runs (Formal Run) * August 1, 2023: Evaluation results release to the participants * August 1, 2023: Task overview paper release (draft) * September 1, 2023: Deadline for submission of participant papers * November 1, 2023: Deadline for camera-ready participant papers * December 12-15, 2023: NTCIR-17 Conference (NII, Tokyo, Japan) (hybrid event, online presentation will be available) ------------------ Task Registration ------------------ Please register on the NTCIR-17 website: http://research.nii.ac.jp/ntcir/ntcir-17/howto.html ------ Organizers ------ (JAPAN) Eiji Aramaki, Ph.D. (NAIST, Japan) Yuta Nakamura, M.D. (The University of Tokyo, Japan) Shoko Wakamiya, Ph.D. (NAIST, Japan) Shuntaro Yada, Ph.D. (NAIST, Japan) Lis Weiji Kanashiro Pereira, Ph.D. (NAIST, Japan) Shouhei Hanaoka, M.D., Ph.D. (The University of Tokyo, Japan) Gabriel Herman Bernardim Andrade (NAIST, Japan) Faith Wavinya Mutinda (NAIST, Japan) Noriki Nishida, Ph.D. (RIKEN, Japan) Tomohiro Nishiyama (NAIST, Japan) Hiroki Teranishi, Ph.D. (RIKEN, Japan) Narumi Tokunaga (RIKEN, Japan) Akiko Aizawa, Ph.D. (NII, Japan) Yuji Matsumoto, Ph.D. (RIKEN, Japan) (FRANCE) Cyril Grouin, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Thomas Lavergne, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Aurélie Névéol, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Patrick Paroubek, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) Hui-Syuan Yeh (Université Paris-Saclay, CNRS, LISN, France) Pierre Zweigenbaum, Ph.D. (Université Paris-Saclay, CNRS, LISN, France) (GERMANY) Lisa Raithel (DFKI, Germany, TU Berlin, Germany, and Université Paris-Saclay, CNRS, LISN, France) Roland Roller, Ph.D. (DFKI, Germany) Philippe Thomas, Ph.D. (DFKI, Germany) * MedNLP-SC contact: mednlp-sc[at]is.naist.jp -- Lis Kanashiro Pereira https://sites.google.com/view/lis-kp/home

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Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English)
by Loizos Michael 23 May '23

23 May '23

Applications accepted for the M.Sc. Program in Cognitive Systems (Distance Learning, English) The recent thrust towards explainable and trustworthy AI has provided renewed impetus to the design and development of AI technologies that explicitly acknowledge, and adapt to, the cognitive abilities and limitations of humans. To teach the emerging paradigm of cognitively-inspired AI, the interdisciplinary M.Sc. Program in Cognitive Systems combines courses from neural/connectionist and symbolic Artificial Intelligence, Machine Learning, and Cognitive Psychology, to explore the fundamentals of perception, attention, learning, mental representation, and reasoning, in humans and machines. The M.Sc. Program is offered jointly by two public universities in Cyprus (the Open University of Cyprus and the University of Cyprus) and has been accredited by the national Quality Assurance Agency. The program is directed by academics from the participating universities, and courses are offered in English via distance learning by an international team of instructors. Applications for the academic year 2023-2024 are accepted until May 30th, 2023: https://admissions.ouc.ac.cy/ More information (and contact details) about the M.Sc. Program in Cognitive Systems: https://cogsys.ouc.ac.cy/ Regards, Loizos

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2025

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2022