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Ukrainian NLP Workshop @ EACL 2023: First CFP and Shared Task
by Mariana Romanyshyn 22 Dec '22

22 Dec '22

*The Second Ukrainian Natural Language Processing Workshop (UNLP 2023)* <https://unlp.org.ua/> *Call For Papers* UNLP 2023 <https://unlp.org.ua/call-for-papers/> will be held online in conjunction with the EACL 2023 conference in May 2023. The workshop will bring together academics, researchers, and practitioners in the fields of Natural Language Processing and Computational Linguistics who work with the Ukrainian language or do cross-Slavic research that can be applied to the Ukrainian language. We hope that the workshop will facilitate developments in the processing of the Ukrainian language, as well as provide a platform for discussion and sharing of ideas, encourage collaboration between different research groups, and improve the visibility of the Ukrainian research community. Topics of interest lie in the area of Ukrainian NLP and Computational Linguistics and include, but are not limited to, the following tasks: - morphosyntactic tagging, - named-entity recognition, - syntactic and semantic parsing, - coreference resolution, - information extraction and text mining, - automated question answering and information retrieval, - language modelling and natural language generation, - grammatical error correction, - text summarization, - machine translation, - sentiment analysis, - argument mining, - disinformation detection and fact verification, - development of language resources and evaluation methods, - speech recognition and generation, - knowledge representation and computational pragmatics, - computational semantics, - computational methods for phonology, - cross-Slavic models, - Ukrainian NLP in interaction with other artificial intelligence technologies. *Shared Task* The Second UNLP features the first *Shared Task in Grammatical Error Correction for Ukrainian*. The Shared Task focuses on correction of grammatical errors and disfluencies, and we see this shared task as an opportunity to facilitate research of GEC for Slavic languages. You can find more details on the web page of the Shared Task <https://unlp.org.ua/shared-task/>. *Important dates* December 22, 2023 — First call for workshop papers January 9, 2023 — Second call for workshop papers February 13, 2023 — Workshop paper due March 13, 2023 — Notification of acceptance March 27, 2023 — Camera-ready papers due May 2 or 6, 2023 — Workshop dates *Keynote speakers* Mona Diab <https://www.linkedin.com/in/mona-diab-55946614/>, The George Washington University, US Gulnara Muratova <https://www.linkedin.com/in/gulnara-muratova-0206/>, QIRI`M YOUNG, Ukraine *Submissions* The workshop will provide Grammarly Premium to all authors. To request Grammarly Premium, please submit the form on the website <https://unlp.org.ua/>. UNLP invites submissions of completed and ongoing projects. Submissions describing resources or solutions that have been made available to the wider public are strongly encouraged. The workshop will also accept papers with negative results. We invite two types of submissions: long and short papers. Long papers should describe original, unpublished and completed work. The short papers may describe work in progress, small focused contributions, system demonstrations, new linguistic resources, or experiments based on existing software and resources. Overlap with previously published work should be clearly mentioned at the time of submission. The authors should indicate in their submission whether the paper has been submitted elsewhere, e.g., to the main conference. In particular, in case the paper has been rejected by the main conference, it should be indicated in the submission. All submissions will be judged on correctness, novelty, technical strength, clarity of presentation, usability, and significance/relevance to the Workshop. Every submission will be reviewed by at least three members of the Program Committee. Paper review will be blind. The papers must not include the authors’ names and affiliations. Self-citations and other references that reveal the authors’ identity must be avoided. Long papers should follow the two-column format of EACL 2023 proceedings not exceeding eight (8) pages of content plus two (2) pages for references. Short paper submissions should follow the same format, and should not exceed five (5) pages for content plus two (2) pages for references. All submissions must conform to the official style guidelines of EACL 2023 <https://unlp.org.ua/call-for-papers/#:~:text=style%20guidelines%20of%20EACL…> contained in the style files and must be in PDF. Camera-ready versions of accepted papers must be provided both in LaTeX and PDF format. *Workshop Organizers* Andrii Hlybovets, National University of Kyiv-Mohyla Academy, Ukraine Oleksii Ignatenko, Ukrainian Catholic University, Ukraine Oleksii Molchanovskii, Ukrainian Catholic University, Ukraine Mariana Romanyshyn, Grammarly, Ukraine *Program Committee* Andrii Babii, Kharkiv National University of Radio Electronics, Ukraine Andrii Liubonko, Grammarly, Ukraine Anna Rogers, University of Copenhagen, Denmark Artem Chernodub, Grammarly, Ukraine Bogdan Babych, Heidelberg University, Germany Bogdana Oliynyk, National University of Kyiv-Mohyla Academy, Ukraine Bohdan Kolchygin, Shelf, Ukraine Dmytro Karamshuk, Meta, UK Dmytro Sytnyk, Institute of Mathematics NAS, Ukraine Galyna Kriukova, National University of Kyiv-Mohyla Academy, Ukraine Igor Samokhin, Grammarly, Ukraine Iuliia Makogon, Semantrum, Ukraine Julia Rogushina, Institute of Software Systems NAS, Ukraine Kostiantyn Omelianchuk, Grammarly, Ukraine Maksym Tarnavskyi, Shelf, Poland Mariana Romanyshyn, Grammarly, Ukraine Natalia Grabar, CNRS, Université de Lille, France Natalia Kocyba, Samsung Research Poland, Poland Nataliia Cheilytko, Friedrich Schiller University Jena, Germany Oleksandr Marchenko, Taras Shevchenko National University of Kyiv, Ukraine Oleksandr Skurzhanskyi, Grammarly, Ukraine Olena Siruk, Bulgarian Academy of Sciences, Bulgaria Olga Kanishcheva, Friedrich Schiller University Jena, Germany Ruslan Chorney, National University of Kyiv-Mohyla Academy, Ukraine Serhii Havrylov, University of Edinburgh, UK Svitlana Galeshchuk, Université Paris Dauphine, BNP Paribas, France Taras Lehinevych, Amazon, Ireland Taras Shevchenko, Proxet (Giphy project), Ukraine Tatjana Scheffler, Ruhr-University Bochum, Germany Thierry Hamon, Université Paris-Saclay, CNRS, LIMSI & Université Sorbonne, France Veronika Solopova, FU Berlin, Germany Volodymyr Taranukha, Taras Shevchenko National University of Kyiv, Ukraine Vsevolod Dyomkin, Projector, Ukraine Yevhen Kupriianov, National Technical University “Kharkiv Polytechnic Institute”, Ukraine *Contact* Email: info(a)unlp.org.ua. Website: https://unlp.org.ua/. Twitter: https://twitter.com/UNLP_workshop. Telegram: https://t.me/UNLP_workshop.

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CfP: Journal of Biomedical Informatics (JBI) Special Issue on Semantics-enabled Biomedical Literature Analytics (Submission deadline: Jan. 15, 2023)
by Halil Kilicoglu 21 Dec '22

21 Dec '22

*** Apologies for cross-posting *** Call for Papers: Semantics-enabled Biomedical Literature Analytics This Special Issue aims to highlight the development of novel informatics methods for *retrieval, indexing, and analysis of biomedical literature, focusing on semantics-based techniques*. We invite researchers working in biomedical informatics, knowledge representation/ontologies, information retrieval, natural language processing, artificial intelligence/machine learning, data mining, and other related areas to submit clear and detailed descriptions of their novel methodological results. The topics of interest include but are not limited to: - Knowledge representation and semantics for biomedical literature retrieval - Biomedical ontologies in search - Biomedical knowledge source integration - Biomedical knowledge graph construction and embeddings - Knowledge graphs in biomedical search - Semantic knowledge in biomedical literature classification and ranking - Biomedical information extraction - Entity linking and semantic annotation in biomedical texts - Literature-based knowledge discovery - Semantics for biomedical knowledge synthesis and systematic literature review All submitted papers must be original and will go through a rigorous peer-review process with at least two reviewers. Papers previously published in conference proceedings will not be considered. JBI’s editorial policy will be strictly followed by special issue reviewers. Note in particular that JBI emphasizes the publication of papers that introduce innovative and generalizable methods of interest to the informatics community. Specific applications can be described to motivate the methodology being introduced, but papers that focus solely on a specific application are not suitable for JBI. *Submission Guidelines* Authors must submit their papers via the online Editorial Manager (EES) at <http://ees.elsevier.com/jbi>https://www.editorialmanager.com/jbi <https://ees.elsevier.com/jbi>. Authors should select “Semantics-enabled Biomedical Literature Analytics” as their submission category and note in a cover letter that their submission is for the “*Special Issue on Semantics-enabled Biomedical Literature Analytics.*” If the manuscript is not intended as an original research paper, the cover letter should also specify if it is, rather, a *Methodological Review, Commentary, or Special Communication*. Authors should make sure to place their work in the context of human-focused biomedical research or health care, and to review carefully the relevant literature. JBI’s editorial policy, and the types of articles that the journal publishes, are outlined under *Aims and Scope *on the journal home page at https://www.sciencedirect.com/journal/journal-of-biomedical-informatics <https://www.journals.elsevier.com/journal-of-biomedical-informatics>(click on “View full Aims and Scope” for details). All submissions should follow the guidelines for authors at <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*https://www.elsevier.com/journals/journal-ofbiomedical- informatics/1532-0464/guide-for-authors <https://www.elsevier.com/journals/journal-ofbiomedical-%20informatics/1532-…>*, including format and manuscript structure. *Important Dates* Deadline for submissions: January 15, 2023 First-round review decisions: March 15, 2023 Deadline for revision submissions: April 15, 2023 Notification of final decisions: June 15, 2023 The full Call for Papers is available at https://doi.org/10.1016/j.jbi.2022.104134. Please direct any questions regarding the special issue to Dr. Halil Kilicoglu (halil(a)illinois.edu). *Guest Editors:* Halil Kilicoglu (University of Illinois Urbana-Champaign, halil(a)illinois.edu ) Faezeh Ensan (Ryerson University, fensan(a)ryerson.ca) Bridget McInnes (Virginia Commonwealth University, bmtinnes(a)vcu.edu) Lucy Lu Wang (University of Washington/Allen Institute for AI, lucylw(a)uw.edu ) *HALIL KILICOGLU* *Associate Professor* School of Information Sciences University of Illinois at Urbana-Champaign halil(a)illinois.edu https://ischool.illinois.edu/people/halil-kilicoglu

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AI4EduRes'2023 Artificial Intelligence for Education Resources 10.1.23
by Eric Atwell 21 Dec '22

21 Dec '22

AI4EduRes'2023 10 January 2023 AI4EduRes.github.io<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4edures…> Artificial Intelligence, Data Science and Text Analytics for Education Resources Welcome to our AI4EduRes'2022 Workshop on Artificial Intelligence for Education Resources Hosted by Noorhan Abbas, Abdullah Alsaleh and Eric Atwell, University of Leeds Supported by the Alan Turing Institute https://www.turing.ac.uk/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.turin…> Online via Zoom - to join, see: https://AI4EduRes.github.io<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fai4edures…> PROGRAMME 9:20 Noorhan Abbas, Abdullah Alsaleh and Eric Atwell (University of Leeds): Introduction 09.30 Keynote speaker – Antonio Martínez-Arboleda (University of Leeds) Open Educational Practice for Open Research in Student Education and beyond 10:15 Aisha Walker (University of Leeds) Dialogic Learning 10:30 William Teahan (Bangor University) Agent Inspired Design: The Game of Life but not as we know it 10:45 Coffee Break 11:00 Isabel Fischer, Lichuan Xiang, Aiqi Jiang, Yiran Xu, Zhewei Zhang and Joe Nandhakuma (University of Warwick) AI-generated Formative Essay and Dissertation Feedback 11:15 Abdullah Khered, Hao Zhang, Riza Batista-Navarro and Viktor Schlegel (University of Manchester). A Pipeline for Generating Fact-checking Explanations 11:30 Alex Coleman (University of Leeds) Reproducible Notebooks for Text Analytics 11:45 Lunch Break 13:00 Martin Callaghan (University of Leeds) Building Chatbots in the Cloud 14:00 Yijing Li (Kings College London) Airbnb Listings Analysis and Story Telling - Taking London and Westminster City Council as an example 15:00 Coffee Break 15:15 Alaa Alsaqer (King Faisal University and University of Leeds) How to create a coffee machine system with Python 15:30 Salwa Alahmari (University of Dammam and University of Leeds) Social Media Resources for Arabic Dialects and Variations 15:45 Abdullah Alsaleh (King Abdulaziz University and University of Leeds) Quran Verse Similarity Classification Task using Arabic Pre-trained Models 16:00 Ibtisam Alshammari (University of Hafr Al-Batin and University of Leeds) Using Arabic Named Entity Recognition Models 16:15 Noorhan Abbas, Abdullah Alsaleh and Eric Atwell: Workshop conclusions and future directions 16:30 CLOSE

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First Call for Participation- IWSLT 2023
by Atul K. Ojha 21 Dec '22

21 Dec '22

Apologies for cross-posting. ---------------------------------------- *The International Conference on Spoken Language Translation* ACL – 20th IWSLT 2023 *July 13-14, 2023 – Toronto, Canada* *http://iwslt.org <http://iwslt.org/>* The International Conference on Spoken Language Translation (IWSLT) is the premier annual conference for all aspects of Spoken Language Translation. Every year, the conference organizes and sponsors open evaluation campaigns around key challenges in simultaneous and consecutive translation, under real-time/low latency or offline conditions and under low-resource or multilingual constraints. System descriptions and results from participants’ systems and scientific papers related to key algorithmic advances and best practice are presented. IWSLT is the venue of the SIGSLTs, the Special Interest Group on Spoken Language Translation of ACL, ISCA and ELRA. With a track record of 19 years, IWSLT benchmarks and proceedings serve as reference for all researchers and practitioners working on speech translation and related fields. In 2023, IWSLT will be co-located with ACL 2023 and will be run as a hybrid meeting. Important Dates January 14, 2023: Release of shared task training and dev data April 24, 2023: Scientific paper submission deadline April 01-15, 2023: Evaluation period May 22, 2023: Notification of acceptance June 06, 2023: Camera-ready paper due July 12, 2023: Pre-recorded video due July 13-14, 2023: Conference Evaluation IWSLT 2023 features shared tasks <https://iwslt.org/2023/#shared-tasks> that address the following focus areas: - Speech translation of talks - Speech-to-speech translation of multi-source data: - Speech dubbing of multi-source data - Dialectal and Low-resource speech translation - Formality control for SLT Training and development data for each shared task will be prepared and released by the respective organizers (for further information on this initiative, please refer to the website). Participants will receive instructions about how to submit their runs. In addition, participants have the opportunity to present their work through a system paper that will be published in the ACL Proceedings. Conference IWSLT also invites submissions of scientific papers to be published in the ACL Proceedings and presented either in oral or poster format. The conference selects high-quality, original contributions on theoretical and practical issues of spoken language translation research, technologies and applications. Contact Please send an email to iwslt-evaluation-campaign(a)googlegroups.com if you have any questions related to the shared tasks. Thanks, Marcello, Alex, Jan, Sebastian, Elizabeth, Atul (IWSLT organisers)

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Call for Participants: Make a Difference in the AI Economy - Join the HitAI Program Committee
by Fabio Massimo Zanzotto 21 Dec '22

21 Dec '22

Dear all, Artificial Intelligence (AI) is ready for the next giant leap: An AI that constantly repays knowledge producers ( <https://sites.google.com/view/hitai> HitAI) The time is now. Artists, programmers, and many others are asking for it. Today AI economy is a giant with feet of clay since it is based on the unfair exploitation of human resources: knowledge is often used without repaying knowledge producers. Resilient industrial sectors have to consider fairness in the use of all resources to ensure their permanence over time. We are organizing a workshop. Are you interested? Fill out this form: https://forms.gle/ZMKEH4o5K6PjPaJE7 Best regards, Fabio Massimo

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Postdoctoral Research Fellow in Text Mining
by Bea Alex 20 Dec '22

20 Dec '22

Postdoctoral Research Fellow in Text Mining at the University of Edinburgh We are looking for a Postdoctoral Research Fellow to help annotate and analyse a large corpus of bilingual folklore narratives (Irish and Scottish Gaelic) computationally using various text-mining techniques. These will include phylogenetics, topic modelling, clustering, sequence alignment and neural word embeddings. The post holder will join an interdisciplinary and international research team working on the project "Decoding Hidden Heritages in Gaelic Traditional Narrative with Text-Mining and Phylogenetics”. Fixed Term: 1 March 2023 – 30 June 2024 Deadline: 10/01/2023, 17:00 For more information see the full job description here<https://elxw.fa.em3.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1…>. -------------------------------------------------------------- Dr. Beatrice Alex Senior Lecturer and Chancellor’s Fellow University of Edinburgh The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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First CfP: Linguistic Annotation Workshop (LAW) @ ACL 2023
by Friedrich Annemarie (CR/AIR3 GS/PJ-TOP98) 20 Dec '22

20 Dec '22

First Call for Papers The 17th Linguistic Annotation Workshop (LAW-XVII)<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsigann.gi…> LAW-XVII will be the 17th annual meeting endorsed by the ACL Special Interest Group for Annotation (SIGANN). It will take place in July 2023 at ACL in Toronto, Canada. Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. The LAW-XVII will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/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. The LAW will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. Special Theme The special theme of LAW-XVII is "Ethics and Annotation." In addition to LAW's general topics, we specifically invite submissions on the following topics: * Aspects of ethics related to annotation work: How do we treat annotators? How do we ensure that they feel good about the work that they are doing? Are there dangers related to psychological health? * Aspects of ethics related to bias. * Ethics in crowd-sourcing annotation scenarios. * Annotation of information regarding ethics in text. * Any other topics related to the special theme. Submissions We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: * Annotation procedures * Innovative automated and manual strategies for annotation * Machine learning and knowledge-based methods for automation of corpus annotation * Creation, maintenance, and interactive exploration of annotation structures and annotated data * Annotation evaluation * Inter-annotator agreement and other evaluation metrics and strategies * Qualitative evaluation of linguistic representations * Innovative means to evaluate annotation quality * Annotation access and use * Representation formats/structures for annotations of different phenomena, especially annotations at multiple levels, and means to explore/manipulate them * Linguistic considerations for merging annotations of distinct phenomena * Annotation schemes, guidelines and standards * New and innovative annotation schemes, comparison of annotation schemes * Methodologies and resources for annotation scheme development * Best practices for annotation procedures and/or development and documentation of annotation schemes * Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages * Results from the application and evaluation of standards for linguistic annotation * Annotation software and frameworks * Development, evaluation and/or innovative use of annotation software frameworks Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.co…>. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Note: The supplementary material does not count towards page limit and should not be included in paper, but should be submitted separately using the appropriate field on the submission website. All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors' identity--e.g., "We previously showed (Smith, 1991) ..." should be replaced with citations such as "Smith (1991) previously showed ...". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop co-chairs (law-2023-chairs(a)googlegroups.com<mailto:law-2023-chairs@googlegroups.com>). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. We follow previous and current ACL policy to establish an anonymity period (from submission to author notification) during which non-anonymous posting of preprints is not allowed. Also included in that policy are instructions to reviewers to not rate papers down for not citing recent preprints. Authors are asked to cite published versions of papers instead of preprint versions when possible. The submission site will be announced shortly. If you have any questions, please feel free to contact the program co-chairs at law-2023-chairs(a)googlegroups.com<mailto:law-2023-chairs@googlegroups.com> or check the workshop website (https://sigann.github.io/LAW-XVII-2023/<https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsigann.gi…>) for updates. Dates (All submission deadlines are 11:59 p.m. UTC-12:00 "anywhere on Earth") Anonymity period starts: 7th March 2023 Preliminary submission of long and short papers: 7th April 2023 Submission, notification, and camera-ready dates to be announced in January 2023 Workshop: 13th or 14th July, 2023 (TBD) Workshop Organizers Annemarie Friedrich (Program Co-Chair) Jakob Prange (Program Co-Chair) Amir Zeldes (ACL SIGANN President) Ines Rehbein (ACL SIGANN Secretary) Program Committee Omri Abend (Hebrew University of Jerusalem) Melanie Andresen (University of Stuttgart) Aditya Bhargava (University of Toronto) Claire Bonial (Army Research Laboratory) Marie Candito (Université Paris Cité) Emmanuele Chersoni (The Hong Kong Polytechnic University ) Christian Chiarcos (University of Cologne) Kathryn Conger (University of Colorado Boulder ) Stefanie Dipper (Ruhr University Bochum) Lucia Donatelli (Saarland University) Jonathan Dunn (University of Canterbury) Federico Fancellu (3M Health Information Services) Pablo Faria (University of Campinas) Nizar Habash (New York University Abu Dhabi) Udo Hahn (Friedrich Schiller University Jena) Andrea Horbach (University of Hagen) Chu-Ren Huang (Hong Kong Polytechnic University) Nancy Ide (Brandeis University) Sandra Kuebler (Indiana University) Ekaterina Lapshinova-Koltunski (University of Hildesheim) Els Lefever (LT3, Ghent University) Lori Levin (Carnegie Mellon University) Katja Markert (Heidelberg University) Marie-Catherine de Marneffe (FNRS - UCLouvain - The Ohio State University) Adam Meyers (New York University) Philippe Muller (IRIT, University of Toulouse) Anna Nedoluzhko (Charles University) Simon Ostermann (German Research Centre for Artificial Intelligence (DFKI)) Alexis Palmer (University of Colorado Boulder) Antonio Pareja-Lora (SIC, UCM/OEG, UPM) Miriam R. L. Petruck (International Computer Science Institute) Barbara Plank (Ludwig Maximilian University of Munich) Massimo Poesio (Queen Mary University of London) Sameer Pradhan (LDC, Cemantix) James Pustejovsky (Brandeis University) Ines Rehbein (Mannheim University) Michael Roth (University of Stuttgart) Josef Ruppenhofer (Leibniz Institute for the German Language) Nathan Schneider (Georgetown University) Djamé Seddah (Inria Paris) Manfred Stede (University of Potsdam) Joel Tetreault (Dataminr, Inc.) Katrin Tomanek (Open Table) Bonnie Webber (University of Edinburgh) Michael Wiegand (University of Klagenfurt) Andreas Witt (Leibniz Institute for the German Language) Fei Xia (University of Washington) Nianwen Xue (Brandeis University) Amir Zeldes (Georgetown University) Deniz Zeyrek (Middle East Technical University) Heike Zinsmeister (University of Hamburg)

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Postdoctoral researcher in Speech Recognition and Language Modelling
by Kurimo Mikko 20 Dec '22

20 Dec '22

Short version: The speech recognition group at Aalto University, Finland, focuses on new machine learning methods in automatic speech recognition and language modelling. I'm now looking for a postdoc for 1-4 years to start in spring 2023. The position requires a relevant doctoral degree in CS or EE and skills for doing excellent research in an (English-speaking) group. The application, CV, list of publications, references and requests for further information should be sent by email to Prof. Mikko Kurimo (mikko.kurimo at aalto.fi). The DL for applications is February 15, but we will process the applications as soon as we receive them, even before the DL. Mikko Kurimo Head of the research group —---------------------------------------------------------------------------------------------------- Long version: Postdoctoral researcher in Speech Recognition and Language Modelling The speech recognition group at Aalto University, Finland, focuses on new machine learning methods in automatic speech recognition (ASR) and language modelling. The group started to develop state-of-the-art unlimited vocabulary ASR systems already in the 1980's and 90’s led by Academician Prof. Kohonen. Since 2000 led by Prof. Mikko Kurimo, the group has done pioneering work in unlimited vocabulary language modelling using unsupervised subword units. One of the top achievements is winning the 3rd Multi-Genre Broadcast ASR challenge, where the top research groups in the field were challenged to build a recognizer for an under-resourced language using machine learning methods. Since that the group has also been ranked high in Interpeech children ASR and ComParE paralinguistics challenges. Recently, the group prepared and released two new large-scale open speech datasets for training and benchmarking ASR systems: nearly 4000 hrs of transcribed audiovisual data on Parliament sessions 2008-2020 and another nearly 4000 hrs of spontaneous speech from over 250 000 voluntary donations by Finnish speakers: https://www.kielipankki.fi/donate-speech/ and https://www.kielipankki.fi/corpora/fi-parliament-asr/ The speech recognition group led by Prof. Kurimo consists of 2 research fellows and 9 PhD students that bring together expertise from speech and language processing, deep learning and toolkits such as Kaldi, PyTorch and SpeechBrain. We are working on a wide variety of topics, ranging from purely research focused to applications where the systems can be into real-world use cases. We operate in a well-connected academic environment using excellent GPU and CPU computing facilities (including access to Europe’s fastest supercomputer LUMI) and have well equipped office space at Aalto University Otaniemi campus that is only 10 minutes subway connection away from downtown Helsinki. We are now looking for a postdoc for 1-3 years to start in spring 2023 on any of these projects: - large-scale ASR for Finnish based on a combination of unsupervised pre-training for transformers, supervised training with up to 5000 hours of transcribed speech data on general topics and fine-tuning with a small amount task-specific speech data and language models - multimodal ASR using attention to multiple modalities and time spans - ASR for games and second language learning and assessment The position requires a relevant doctoral degree in CS or EE, skills for doing excellent research in an (English-speaking) group, and outstanding research experience in at least one of the research themes and programming at one of the toolkits mentioned above. The candidate is expected to perform high-quality research and participate in the supervision of talented MSc and PhD students. The application, CV, list of publications, references and requests for further information should be sent by email to Prof. Mikko Kurimo (mikko.kurimo at aalto.fi). The DL for applications is February 15, but we will process the applications as soon as we receive them, even before the DL. Aalto University is a new university created in 2010 from the merger of the Helsinki University of Technology, Helsinki School of Economics and the University of Art and Design Helsinki. The University’s cornerstones are its strengths in education and research, with 20,000 basic degree and graduate students. In addition to a decent salary, the contract includes occupational health benefits, and Finland has a comprehensive social security system. The Helsinki Metropolitan area forms a world-class information technology hub, attracting leading scientists and researchers in various fields of ICT and related disciplines. Moreover, as the birthplace of Linux, and the home base of Nokia Bell Labs, F-Secure, Rovio, Supercell, Slush (the biggest annual startup event in Europe) and numerous other technologies and innovations, Helsinki is fast becoming one of the leading technology startup hubs in Europe. See more e.g. at http://www.investinfinland.fi/. As a living and working environment, Finland consistently ranks high in quality of life, and Helsinki, the capital of Finland, is regularly ranked as one of the most livable cities in the world. See more at https://finland.fi

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“Digital Humanities” Faculty Position at Open University of Cyprus
by Loizos Michael 20 Dec '22

20 Dec '22

Dear colleagues, The Open University of Cyprus invites applications for the following position in the Faculty of Humanities and Social Sciences: * One (1) academic position at the rank of Lecturer and/or Assistant Professor in the area of “Digital Humanities”. Indicative areas include Natural Language Processing, language corpora, creation of digital databases, digital Lexicography, Information Technology in Education, with an emphasis on the teaching and learning of Greek, digital environments and tools for History, Archaeology, ?heatre, Cultural Studies, Greek Language and Literature, Digital Media, etc. More information here: https://www.ouc.ac.cy/index.php/en/university/vacancies/academic-personnel/… Regards, Loizos

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PhD position in NLP & Information Extraction at HHU Düsseldorf
by Laura Kallmeyer 20 Dec '22

20 Dec '22

Starting from May 2023, the Data & Knowledge Engineering group at Heinrich-Heine-University (HHU, Düsseldorf), affiliated with Knowledge Technologies for Social Sciences (KTS, https://www.gesis.org/en/kts) at GESIS (Cologne) and the Computational Linguistics department at HHU ( https://www.ling.hhu.de/bereiche-des-institutes/abteilung-fuer-computerling… ) are looking for a *PhD student– Information Extraction & Natural Language Processing* (Salary group 13 TV-L, working time 75%-100%, initially limited to 36 months with the possibility of further extension) In the context of the research project "NewOrder", we are investigating scientific online discourse in news & social media, in an interdisciplinary consortium involving researchers from Computer Science, Psychology, Political and Communication Science. Our research will be concerned with novel Natural Language Processing (NLP) methods for the analysis of scientific online discourse (e.g. on Twitter) addressing challenges arising from its informal nature and heterogeneity. For instance, references to scientific works (e.g. publications, studies, datasets), scientists or scientific organisations are often provided in informal and ambiguous ways. Other challenges include the dynamically evolving vocabulary posing challenges for reuse and adaptation of both pretrained language models as well as NLP models finetuned towards specific downstream tasks. Hence, detecting and disambiguating informal science discourse and associated claims remains a challenging problem. Your tasks will be: ******************* * Research in fields such as NLP, Machine Learning, Language Modeling and Representation learning, specifically with the aim to extract structured information from online discourse data * Develop NLP methods for (i) the detection, disambiguation and classification of sources of science-related information on social media, (ii) assessing the quality and credibility of sources and claims and (iii) investigating implicit language cues for cognitive states and source characteristics/traits * Writing, publishing and presenting project results * Collaboration with team members and project partners in an interdisciplinary consortium Your profile: ************** * University degree (diploma/MSc) in Computer Science, Computational Linguistics or related fields * Research interests in NLP, machine learning, data mining, large language models * Hands-on experience with Python and handling big datasets, ideally experience with Big Data Frameworks (e.g. Spark/Hadoop) * Knowledge of ML-Frameworks such as TensorFlow and PyTorch * Ability to communicate fluently in English mandatory, basic knowledge of the German language desirable What we offer: *************** * Flexible working hours and home office arrangements * A fast growing and international working environment with a lot of creative scientific freedom * Access to unique research data, (social) web archives and behavioral data * Support of collaborations with international research labs and experts through an extensive international exchange programme The PhD research will be supervised by Prof. Dr. Stefan Dietze (Scientific Director of KTS at GESIS and Professor for Data & Knowledge Engineering at HHU) & Prof. Dr. Laura Kallmeyer (Chair of Computational Linguistics department at HHU). For further information please contact Stefan Dietze (stefan.dietze(a)hhu.de) and/or Laura Kallmeyer (kallmeyer(a)phil.uni-duesseldorf.de). Interested? ************* Please apply by sending your complete application documents as a single PDF file to kallmeyer(a)phil.hhu.de by 20 January 2023. -- Prof. Dr. Laura Kallmeyer Institut für Linguistik Heinrich-Heine Universität Duesseldorf Universitaetsstr. 1 D-40225 Duesseldorf, Germany https://user.phil.hhu.de/kallmeyer/ Phone +49 (0)211 8113899

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