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MS/PhD positions in NLP at Koç University, Istanbul
by Gozde Gul 28 Apr '23

28 Apr '23

Dear all, We have several openings for fully funded Ph.D. and MS student positions in NLP at Koç University <https://www.ku.edu.tr/en/>, Istanbul. The positions will focus on understanding and processing procedural language provided as natural language instructions (e.g., step-by-step instructions to fix WiFi). Some of the topics are (but are not limited to): - Investigating and designing neural/hybrid models with long-range reasoning on procedural text, - Document-grounded task-oriented dialogue on procedural text, - Designing evaluation metrics and benchmarks for procedural text The "Automatic Learning of Procedural Language from Natural Language Instructions for Intelligent Assistance" is funded by The Scientific and Technological Research Council of Turkiye and is led by Asst. Prof. Gözde Gül Şahin <https://gozdesahin.github.io/>. The position will also be affiliated with KUIS AI <https://ai.ku.edu.tr/>, a thriving international research environment with more than 50 graduate students working on NLP-related topics spread over computer vision, robotics, machine learning, and human-computer interaction. Successful candidates will have the opportunity to collaborate closely with other researchers at the KUIS AI and at Koç University. The primary communication language is English. The preferred starting date is as soon as possible. Qualifications The ideal candidates should be enthusiastic about natural language processing, have excellent mathematical and programming skills, should be team players, and have Bachelor's degrees in computer science, computational linguistics, or a related discipline. Offer Salary: Current KUIS AI fellowship salaries are 11.200TL/mo for MSc and 18.600TL/mo for Ph.D. students. Scholarship raises after a qualified publication as the first author: 1000 TL/mo for MS, 1500 TL/mo for Ph.D., to be re-evaluated every semester. Travel: Full support for top-tier conference publications. Computation: A laptop (or workstation if preferred). Full access to the 2nd largest GPU cluster in Turkiye. Side benefits: Private health insurance, meal card, and student housing based on availability (only for Ph.D. students) How to apply? If you are interested in any of the positions, please send an email to gosahin[at]ku.edu.tr <gosahin(a)ku.edu.tr> with the subject "Ph.D. (or MS) application". Please send a CV, transcript (or records), a copy of a work that you're most proud of (e.g., Master's thesis, conference paper), and a motivation letter stating your research interests. The official application still needs to be done via the application portal as instructed here <https://international.ku.edu.tr/graduate-programs/how-to-apply/>. The official deadline is the 4th of June, however, the applications will be reviewed on a regular basis. Please indicate "NLP" and "Procedural text" as your research interests and mention Dr. Gözde Gül Şahin in your Statement of Purpose. Why Koç University? According to the Times Higher Education, we rank 1st in Türkiye and 36th in the world among universities under 50 years old. - The number of research articles per faculty at Koç University is one of the top in the country. - The working language at KU is English. Koç University (KU) is an endowed, non-profit institution of higher education, located in Istanbul, Türkiye. Founded in 1993 by the Vehbi Koç Foundation, its mission is to produce the most capable graduates by providing a world-class education, to advance the frontiers of knowledge and to contribute to the benefit of Türkiye and humanity at large. KU is spread over a main campus, a separate university hospital campus, and two smaller locations in Istanbul. Since its establishment, KU has quickly become one of the leading research universities in Türkiye, attracting accomplished, high-caliber researchers from all over the world. The vast majority (97%) of 400 faculty members have received their Ph.D. degrees from the most highly selective and reputable universities in the world, including the United States and Europe. The majority of the students enrolled in the undergraduate programs are ranked within the top 1% in the National University Entrance Exam. Currently, the university is ranked among the top three universities in Türkiye in terms of the number of international research publications per faculty member per year. Best, Gözde Gül Şahin Assistant Professor Computer Engineering Department Koç University https://gozdesahin.github.io/

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For the love of God, stop the automatic emails!
by Nick de Carlo 28 Apr '23

28 Apr '23

Whoever is in charge over there, PLEASE stop this Istanbul email!!!! Thank you, Dr. Nickolas Sebastiano de Carlo

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Deadline extension (May 14nd): SEPLN Best PhD Thesis Award
by aitziber.atucha＠ehu.eus 28 Apr '23

28 Apr '23

[Apologies for cross-posting] At the end in English. EDICIÓN XXII PREMIO SEPLN A LA MEJOR TESIS DOCTORAL EN PROCESAMIENTO DEL LENGUAJE NATURAL [Plazo de presentación: 14 de mayo de 2023] La Sociedad Española para el Procesamiento del Lenguaje Natural convoca la Edición XXII del Premio SEPLN a la Mejor Tesis Doctoral en Procesamiento del Lenguaje Natural, que se regirá por las siguientes bases: La finalidad de este premio es la promoción y divulgación de la investigación en el campo del procesamiento del lenguaje natural. La tesis será premiada con una computadora portátil compacta (tablet). Se dará entrega del premio en el 39 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2023), tras una breve presentación del trabajo premiado por parte del autor. Para poder concursar, el autor de la tesis doctoral debe ser socio de la SEPLN en el momento de presentar el trabajo. Ninguna persona concursante podrá participar como autora en más de un trabajo. Se podrán presentar a concurso tesis doctorales leídas durante el año 2022, escritas en una lengua del Estado español o en lengua inglesa. Además de la tesis completa, es imprescindible enviar: Un breve resumen de 4 páginas donde claramente se indique el tema y la relevancia de la investigación, los objetivos, métodos, resultados alcanzados y contribuciones. Una breve descripción de la trayectoria científica del autor de la tesis, en la que se describa la participación en actividades científicas como organización de de tareas competitivas, congresos, generación de recursos open access como conjuntos de datos, modelos de lenguaje, etc., y participación en proyectos, contratos, y/o patentes. La calidad de la presentación, la corrección técnica y metodológica, la relevancia, originalidad, la generación, evaluación y publicación de recursos, así como la trayectoria investigadora durante el periodo predoctoral serán los criterios empleados para la adjudicación del premio por parte del jurado. Los trabajos se enviarán a través de la web de la revista de la Sociedad (http://journal.sepln.org) en formato PDF antes del 2 de mayo de 2023. La resolución del premio se comunicará durante el 39 Congreso Internacional de la Sociedad Española del Procesamiento del Lenguaje Natural (SEPLN 2023). Documento con las instrucciones (aquí) Para más información dirigirse a aitziber.atucha(a)ehu.eus 22nd EDITION OF THE SEPLN AWARD TO THE BEST DOCTORAL THESIS IN NATURAL LANGUAGE PROCESSING [Submission deadline: May 14nd, 2023] The Spanish Society for Natural Language Processing announces the 22 Edition of the SEPLN Award for the Best Doctoral Thesis in Natural Language Processing, which will be governed by the following bases: The purpose of this award is the promotion and dissemination of research in the field of natural language processing. The thesis will be awarded with a compact laptop (tablet). The award will be presented at the 39th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2023), after a brief presentation of the award-winning work by the author. In order to compete, the author of the doctoral thesis must be a member of the SEPLN at the time of submitting the work. No contestant may participate as an author in more than one work. Doctoral theses read during the year 2023, written in a language of the Spanish State or in English, may be submitted to competition. In addition to the complete thesis, it is essential to send: a 4-page summary of the thesis, clearly describing the topic and the relevance of the research, the objectives, methods, results achieved and contributions. a brief description of the scientific career of the author of the thesis, detailing the participation in scientific activities such as organization of competitive tasks, congresses, generation of open access resources such as sets of data, language models, etc., and participation in projects, contracts, and/or patents. The quality of the presentation, the technical and methodological correctness, the relevance, originality, the generation, evaluation and publication of resources, as well as the research trajectory during the pre-doctoral period will be the criteria used for the award of the prize by the jury. The works will be submitted through the website of the Society's magazine (http://journal.sepln.org) in PDF format before May 2nd 2023. The final decision will be communicated during the 39th International Congress of the Spanish Society for Natural Language Processing (SEPLN 2023). Submission instructions (http://www.sepln.org/sites/default/files/noticia/documentos_relacionados/20…) For more information: aitziber.atucha(a)ehu.eus

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# Learning with Small Data -- 3rd CfP NEW!! also accepting non-archival 2p abstracts
by Sharid Loáiciga 28 Apr '23

28 Apr '23

# Learning with Small Data -- 3rd CfP DEADLINE EXTENSION -- NEW!! also accepting non-archival 2p abstracts Learning with Small Data September 11-12, 2023 CLASP, University of Gothenburg Come visit us in Gothenburg to our annual workshop organized within the CLASP project activities! Great topic, proceedings published in the ACL anthology, free registration, free food (including gala dinner), amazing keynote speakers: Aurélie Herbelot -- University of Trento Tal Linzen -- NYU & Google Danielle Matthews -- University of Sheffield https://sites.google.com/view/learning-with-small-data/home There is now an acute need for intensive research on the possibility of effective learning with small data. Our 2023 conference, LSD, is devoted to work on this problem, with application to computational linguistics. Learning with Small Data will bring together researchers from various areas to discuss the sustainability of current state of the art methods in computational linguistics which rely on very large models, such as ChatGPT, GPT2-3, BERT, and XLNet. The conference encourages contributions from machine learning, computational linguistics, theoretical linguistics, philosophy, cognitive science, and psycholinguistics, as well as from artificial intelligence ethics and social policy. We hope to see innovative technical proposals, and we will cultivate a wide spectrum of views within a lively dialog on the issues that the conference addresses. Types of submissions: Short archival paper (4 pages + references) Long archival paper (8 pages + references) Student archival paper (6 pages + references) New !!! Non-archival abstract (2 pages + references) Non-archival submissions will be presented as posters. This is a great opportunity to get feedback on new work that is in progress or to present previously published work to a new audience. To learn more about CLASP, please visit: https://gu-clasp.github.io/ ## Important Dates: Submission deadline: 2023 May 5, anywhere on Earth *New submission deadline extension: 2023 May 12, anywhere on Earth* Notification of acceptance: 2023 June 12, anywhere on Earth Camera ready: 2023 August 14, anywhere on Earth Conference: 2023 September 11-12, not anywhere on Earth, but in Gothenburg Additional details in our website: https://sites.google.com/view/learning-with-small-data/home

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3 NLP PostDoc positions available at MBZUAI
by Ted Briscoe 28 Apr '23

28 Apr '23

We are looking to recruit three postdoctoral researchers in the MBZUAI Department of Natural Language Processing to work with Prof. Ted Briscoe and Dr. Ekaterina Kochmar on the applications of large language models to the EdTech and FinTech domains. The three projects will broadly focus on: - Educational Dialog Systems - Summarization of Financial Regulations - Grammatical Error Correction with the focus on English and Modern Standard Arabic *Qualifications* Applicants should have: - A PhD degree (or be close to obtaining one) in a relevant field - Strong background in natural language processing and/or machine learning with substantial experience in NLP - Strong programming skills in Python - Knowledge of PyTorch and relevant NLP tools. - Excellent command of English and strong communication and presentation skills *Application Instructions* Apply via https://apply.interfolio.com/124150 The positions are available for 2 years initially starting 1st September 2023 with a possibility of subsequent renewal. The salary is tax-free and competitive (approx. USD$75-100K) depending on experience. The benefits include medical insurance, support with relocation and visa application, 30 calendar days vacation leave per year, and generous support for conference attendance. Informal enquiries concerning the projects can be directed to the Faculty Affairs team facultyaffairs(a)mbzuai.ac.ae

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Invitation to EACL-SRW 2023 Career Panel Discussion
by Elisa Bassignana 28 Apr '23

28 Apr '23

Dear all, The Student Research Workshop at EACL 2023 is organizing a career panel discussion on May 4th at 11:15-12:45 CEST. We gathered a great set of panelists at different levels of seniority and from different affiliation types (see below). We invite students (but not limited to) attending EACL to take part in the panel where there will be room for questions from the audience. The SRW EACL 2023 panelists will include: Saif M. Mohammad Dr. Saif M. Mohammad is a Senior Research Scientist at the National Research Council Canada (NRC). He received his Ph.D. in Computer Science from the University of Toronto. Before joining NRC, he was a Research Associate at the Institute of Advanced Computer Studies at the University of Maryland, College Park. His research interests are in Natural Language Processing (NLP), especially Lexical Semantics, Emotions and Language, Computational Creativity, AI Ethics, NLP for psychology, and Computational Social Science. He is currently an associate editor for Computational Linguistics, JAIR, and TACL, and Senior Area Chair for ACL Rolling Review. Joakim Nivre Joakim Nivre is Professor of Computational Linguistics at Uppsala University and Senior Researcher at RISE (Research Institutes of Sweden). He holds a Ph.D. in General Linguistics from the University of Gothenburg and a Ph.D. in Computer Science from Växjö University. His research focuses on data-driven methods for natural language processing, in particular for morphosyntactic and semantic analysis. He is one of the main developers of the transition-based approach to syntactic dependency parsing, described in his 2006 book Inductive Dependency Parsing and implemented in the widely used MaltParser system, and one of the founders of the Universal Dependencies project, which aims to develop cross-linguistically consistent treebank annotation for many languages and currently involves over 130 languages and over 500 researchers around the world. He has produced nearly 300 scientific publications and has over 22,000 citations according to Google Scholar (April, 2023). He is a fellow of the Association for Computational Linguistics and was the president of the association in 2017. Ana Marasović Ana Marasović is an Assistant Professor in the Kahlert School of Computing at the University of Utah. Her primary research interests are at the confluence of NLP, explainable AI, and multimodality. She aims to rigorously validate AI technologies and make human interaction with AI more intuitive. She was a Young Investigator at the Allen Institute for AI from 2019–2022. During that time, she also had a courtesy appointment in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She obtained her PhD in 2019 from Heidelberg University. She received Best Paper Honorable Mention at ACL 2020 and Best Paper Award at SoCal 2022 NLP Symposium. Christos Christodoulopoulos Christos Christodoulopoulos is a Senior Applied Scientist at Amazon Research Cambridge, working on knowledge extraction and verification. He got his PhD at the University of Edinburgh, where he studied the underlying structure of syntactic categories across languages. Before joining Amazon, he was a postdoctoral researcher at the University of Illinois working on semantic role labeling and psycholinguistic models of language acquisition. He has been a co-organiser of the FEVER workshops, an area chair for various ACL conferences, and the general chair for the 2021 Truth and Trust Online conference. André Martins André Martins (PhD 2012, Carnegie Mellon University and University of Lisbon) is an Associate Professor at Instituto Superior Técnico, University of Lisbon, researcher at Instituto de Telecomunicações, and the VP of AI Research at Unbabel. His research, funded by a ERC Starting Grant (DeepSPIN) and other grants (P2020 project Unbabel4EU and CMU-Portugal project MAIA) include machine translation, quality estimation, structure and interpretability in deep learning systems for NLP. His work has received best paper awards at ACL 2009 (long paper) and ACL 2019 (system demonstration paper). He co-founded and co-organizes the Lisbon Machine Learning School (LxMLS), and he is a Fellow of the ELLIS society. Student Research Workshop Co-Chairs Elisa Bassignana, IT University of Copenhagen Matthias Lindemann, University of Edinburgh Alban Petit, University of Paris-Saclay Student Research Workshop Faculty Advisors Valerio Basile, University of Turin Natalie Schluter, Apple and IT University of Copenhagen Contact The organizers of the workshop can be contacted by email at eacl.srw23(a)gmail.com More details can be found at https://sites.google.com/view/eacl2023srw

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[Touché@CLEF 2023 Deadline Extension] Intra-Multilingual Stance Classification in Online Debates (apologies for cross-posting)
by valbarrierepro＠gmail.com 27 Apr '23

27 Apr '23

News: The submission deadline has been extended to the 12th of May We invite you to participate in our multilingual stance classification shared task, as part of the Touché Lab, which will be held in conjunction with the CLEF'23 conference in Thessaloniki, Greece [1]. Context: Participatory Democracy at the scale of a continent like Europe brings many difficulties due to the high diversity of languages and cultures. At the same time, Machine Learning is an interesting tool for stance recognition in a large-scale context, in terms of data size, but also regarding the topics and themes addressed or the languages employed by the participants. Public consultations of citizens using Online Participatory Democracy platforms offer this kind of setting and are good use cases for automatic stance recognition systems. In the context of the Touché Lab at CLEF 2023 [2], we are proposing a shared task on data coming from the platform used during the Conference for the Future of Europe [2] which was inaugurated in 2021, where users can submit proposals and comment over them in any of the 24 official EU languages. A particularity of this platform is the use of a Machine Translation system in order to give the possibility to the users to interact between each others in their native languages, leading to what we call Intra-Multilingual data: pairs of proposal and comment in different languages. [1] https://clef2023.clef-initiative.eu/ [2] https://touche.webis.de/ [3] https://futureu.europa.eu/ Tasks: Given a proposal on a socially important issue, the task is to classify whether a comment is in favor, against, or neutral towards the proposal. Subtask1: Cross-debate Stance Classification. Subtask2: All-data-available Classification Learn more about this and other argumentation- and causality-related tasks at https://touche.webis.de/ Data available at https://touche.webis.de/clef23/touche23-web/multilingual-stance-classificat… Register via the CLEF website: https://clef2023-labs-registration.dei.unipd.it/ ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Registration Jan. 15, 2023: Development data available May 10, 2023: Test data available May 12, 2023: Approaches submission on the test data June 5, 2023: Participant paper submission July 7, 2023: Camera-ready participant papers submission Sep. 18-21, 2023: Conference One of the conference days: Touché Workshop on Argument and Causal Retrieval ------------------------------------------------------------------------------- Special Announcements ------------------------------------------------------------------------------- Touché Open Source Proceedings Touché will host a collection of software developed by participants at GitHub. The Touché team invite you to publish your software too and invite software submissions using TIRA [ https://www.tira.io/ ]. In case of questions / suggestions / etc., please reach us at touche(a)webis.de. Best regards, CoFE Team @ Touché

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PAN 2023 Shared Tasks on Authorship Verification, Author Profiling, Multi-Author Analysis, and Trigger Detection.
by Matti Wiegmann 27 Apr '23

27 Apr '23

------------------------------------------------------------------------------- PAN 2023: 2nd Call for Participation ------------------------------------------------------------------------------- PAN is a series of shared tasks on authorship analysis, computational ethics, and originality. PAN 2023 will be held in conjunction with the CLEF conference in Thessaloniki. We'd like to invite you to participate in the following shared tasks: 1. Cross-Discourse Type Authorship Verification Given two texts from written and oral Discourse Types, determine if they are written by the same author. 2. Profiling Cryptocurrency Influencers with Few-shot Learning Given a small set of tweets, determine the interest and intent of an influencer. 3. Multi-Author Writing Style Analysis Given a document, determine at which positions the author changes. 4. Trigger Detection Given a document, assign all appropriate trigger warning labels. Find out more at: pan.webis.de/clef23/pan23-web<http://pan.webis.de/clef23/pan23-web> ------------------------------------------------------------------------------- Important Dates (tentative) ------------------------------------------------------------------------------- Registration is open now. May 10, 2023 - Early bird software submission (optional) May 29, 2023 - Software submission June 05, 2023 - Participant paper submission June 23, 2023 - Peer review notification July 07, 2023 - Camera-ready participant papers submission Sep 18-21, 2023 - Conference

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CfP "Life Narrative and the Digital", 26-27 September 2023, ACDH-CH, Vienna
by Dimitra Grigoriou 27 Apr '23

27 Apr '23

Dear colleagues, We would like to draw your attention to the following event and would be grateful if you could help us spread the word: Life Narrative and the Digital: An Interdisciplinary Conference and Workshop 26-27 September 2023 Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH) Austrian Academy of Sciences, Vienna CfP open until: 26 May 2023 https://digital-bio-2023.acdh.oeaw.ac.at<https://digital-bio-2023.acdh.oeaw.ac.at/> This two-day conference-plus-workshop brings together scholars and practitioners from different disciplines, communities, and career stages to explore the possibilities, uses, and challenges of digital methods and technologies for auto/biographical research and practice. We are particularly interested in the following questions: * In what ways can digital methods and technologies aid the study and analysis of biographical data? * How can the digital help us devise innovative pathways to the representation of historical individuals’ lives? (e.g. digital platforms) * To what extent do digital formats of life narration tie in with new trends in auto/biographical scholarship and practice? (e.g. metabiography, relational biography, persona studies, group biography, object biography, etc.) * How do we deal with uncertainty and the issue of data quality in the digital representation of biographical data? The event will feature both a workshop and a conference track. The workshop (26 September) will be dedicated to short presentations of work-in-progress, with a strong focus on tools, technologies, software, and methods, and with an emphasis on feedback and exchange. The conference (27 September) follows a conventional format, with a mix of research papers and panel discussions, and will be open to the public. Participation in both formats is free of charge. We invite proposals of max. 500 words via OpenReview (https://bit.ly/digital-bio-2023) for 15-minute (workshop) OR 20-minute (conference) contributions by 26 May 2023. For more information, please consult our conference website, or contact us at amp(a)oeaw.ac.at. Timo Frühwirth, Dimitra Grigoriou, Sandra Mayer (conference organisers) MMag.a Dimitra Grigoriou FWF Project 'A Digital Edition of W. H. Auden's Letters to Stella Musulin' (FWF P 33754) Austrian Centre for Digital Humanities and Cultural Heritage Österreichische Akademie der Wissenschaften | Austrian Academy of Sciences Bäckerstraße 13, 1010 Wien, Österreich | Vienna, Austria T: +43 1 51581-2231 dimitra.grigoriou(a)oeaw.ac.at | www.oeaw.ac.at/acdh/projects/auden-musulin-papers<http://www.oeaw.ac.at/acdh/projects/auden-musulin-papers> Follow us on Twitter.com/AMP_OEaW<https://twitter.com/oeaw> Like us on Facebook.com/oeaw.at<https://www.facebook.com/oeaw.at/> Find us on Instagram.com/oeaw.at<https://www.instagram.com/oeaw.at/> Visit us on Youtube.com/c/oeawvideo<https://www.youtube.com/channel/UCY3rUdfN-VCjvfUWojWkayQ>

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Open RA/PhD Funded Positions in Conversational AI ( U. Trento Italy )
by Giuseppe Riccardi 27 Apr '23

27 Apr '23

Dear Candidate, At the Signals and Interactive Systems Lab (University of Trento, Italy) we are looking for highly motivated and talented graduate students to join our research team and work on Conversational Artificial Intelligence. Conversational Artificial Intelligence includes the following research areas: - Natural Language Processing - Dialogue Modeling and Systems - Affective Computing The SIS Lab has been training intelligent machines and evaluating AI-based systems in the last three decades in many industry sectors from fintech to health. The lab research team is interdisciplinary and attracts researchers from computational linguistics, psychology, applied math, biomedical and electrical engineering and computer science. Research projects and demos can be found at the lab website : http://sisl.disi.unitn.it <http://sisl.disi.unitn.it/> . The candidates should have strong background, past achievement records in the areas of Conversational Research and/or Engineering. The official language (research and graduate teaching) of the department is English. AVAILABLE POSITIONS • Six months funded research fellowships: approximately 1600 Euro/month gross amount . • Three-year funded Phd fellowships: approximately 1600 Euro/month gross amount . For more information about cost of living in the area please visit the website :https://iecs.unitn.it/prospective-student <https://iecs.unitn.it/prospective-student> DEADLINES Openings with start date as early as June 2023. Positions open until filled. REQUIREMENTS MANDATORY ( for both positions ) - Master degree in Computer Science, Electrical Engineering, Computational Linguistics, Machine Learning or similar or related disciplines. - Proficiency in Machine Learning - Excellent academic records - Excellent programming skills - Excellent command of oral and written English - Good knowledge of most of the following: experimental design methodology and statistics, natural language processing , machine learning methods - Excellent team-work skills HOW TO APPLY Interested applicants should mention the position they are applying and send their CV to: Email: sisl-jobs(a)disi.unitn.it <mailto:sisl-jobs@disi.unitn.it> For more info: The Signals and Interactive Systems Lab: http://sisl.disi.unitn.it <http://sisl.disi.unitn.it/> The PhD School: https://iecs.unitn.it <https://iecs.unitn.it/> The Department Information Engineering and Computer Science Department @ University of Trento: www.disi.unitn.it <http://www.disi.unitn.it/>

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