October 2022 - Corpora

[Jobs] ELLIS PhD Program: 150+ PhD positions in machine learning (incl. NLP)
by lynn.anthonissen＠uni-tuebingen.de 28 Oct '22

28 Oct '22

Apply by November 15, 2022, to join the ELLIS PhD Program in 2023 – Details at: https://ellis.eu/news/ellis-phd-program-call-for-applications-2022 The ELLIS PhD program has launched its yearly recruiting round and is now accepting applications. A key pillar of the ELLIS initiative, the program's central aim is to foster and educate the best talent in machine learning and related research areas by pairing outstanding students from across the globe with leading researchers in Europe. The program also offers a variety of networking and training activities. Each PhD student is co-supervised by two ELLIS scientists based in different European countries. Over the course of their degree, students complete a mandatory exchange of at least six months at their co-advisor's lab. One of the advisors may also come from industry, in which case the student will collaborate closely with the industry partner and spend their exchange conducting research at an industrial lab. Research areas include (but are not limited to) the following machine learning-driven research fields: - AutoML - Bayesian & Probabilistic Learning - Bioinformatics - Causality - Computational Neuroscience - Computer Graphics - Computer Vision - Deep Learning - Earth & Climate Sciences - Health - Human Behavior, Psychology & Emotion - Human Computer Interaction - Human Robot Interaction - Information Retrieval - Interactive & Online Learning - Interpretability & Fairness - Law & Ethics - Machine Learning Algorithms - Machine Learning Theory - ML in Chemistry & Material Sciences - ML in Finance - ML in Science & Engineering - ML Systems - Multi-agent Systems & Game Theory - Natural Language Processing - Optimization & Meta Learning - Privacy - Quantum & Physics-based ML - Reinforcement Learning & Control - Robotics - Robust & Trustworthy ML - Safety - Security, Synthesis & Verification - Symbolic Machine Learning - Unsupervised Learning You can watch our introductory video here: https://www.youtube.com/watch?v=kWXNpnxkfg0. The deadline for applications is November 15, 2022. Interested candidates should apply online through the ELLIS application portal. For details on the program, specific research areas, and the application process, please consult the call for applications: https://ellis.eu/news/ellis-phd-program-call-for-applications-2022.

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PhD studentship in Natural Language Processing at the University of Edinburgh funded by DeepMind
by Mirella Lapata 28 Oct '22

28 Oct '22

The School of Informatics, University of Edinburgh, is thrilled to announce a PhD scholarship funded by DeepMind. The scholarship covers tuition fees (at the Home/International tuition fee rate), provides annual stipend of £17,668 annum (for 4 years full time study) and provides a research training and support grant. The student will be supervised by Dr. Mirella Lapata and will also benefit from mentoring from DeepMind staff during their period of study.  Applicants would be expected to work on an topic drawn from the following research areas: - multimodal natural language understanding and generation - long-form and retrieval-augmented text generation - Multilingual generation Applicants wishing to apply for the scholarship should meet one OR both of the following criteria: - are resident of a country and/or region underrepresented in AI; - identify as women including cis and trans people and non-binary or gender fluid people who identify in a significant way as women or female; - and/or identify as Black or other minority ethnicity; The successful candidate will have a good honours degree or equivalent in artificial intelligence, computer science, machine learning, or a related discipline; or have a breadth of relevant experience in industry/academia/public sector, etc. They will have strong programming skills and previous experience in natural language processing. If you have further questions, please Dr. Mirella Lapata, mlap(a)inf.ed.ac.uk. To apply, please follow the instructions at: http://www.inf.ed.ac.uk/postgraduate/apply.html As your research area, please select "Informatics: ILCC: Language Processing, Speech Technology, Information Retrieval, Cognition". On the application form under "Research Project", please state "DeepMind Scholarship". IMPORTANT: After submitting your application through the website, please email your applicant number to mlap(a)inf.ed.ac.uk. Application deadline: 10th December 2022 [applications received after the deadline may be considered, but this cannot be guaranteed]. -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336.

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Webminar by Vered Shwartz (The University of British Columbia-Vancouver)
by HiTZ Zentroa 28 Oct '22

28 Oct '22

Dear colleague, We are happy to announce the next webinar in the Language Technology webinar series organized by the HiTZ research center (Basque Center for Language Technology, http://hitz.eus). We are organizing one seminar every month. You can check the videos of previous webinars and the schedule for upcoming webinars here: http://www.hitz.eus/webinars Next webinar: * *Speaker*: Vered Shwartz (The University of British Columbia-Vancouver) * *Title*: Incorporating Commonsense Reasoning into NLP Models * *Date*: November 3, 2022, 15:30 CET * *Summary*: NLP models are primarily supervised, and are by design trained on a sample of the situations they may encounter in practice. The ability of models to generalize to and address unknown situations reasonably is limited, but may be improved by endowing models with commonsense knowledge and reasoning skills. In this talk, I will present several lines of work in which commonsense is used for improving the performance of NLP tasks: for completing missing knowledge in underspecified language, interpreting figurative language, and resolving context-sensitive event coreference. Finally, I will discuss open problems and future directions in building NLP models with commonsense reasoning abilities. * *Bio*:Vered Shwartz is an Assistant Professor of Computer Science at the University of British Columbia and a faculty member at the Vector Institute for Artificial Intelligence. Her research interests include commonsense reasoning, computational semantics and pragmatics, and multiword expressions. Previously, Vered was a postdoctoral researcher at the Allen Institute for AI (AI2) and the University of Washington, and received her PhD in Computer Science from Bar-Ilan University. * *Upcoming webinars*: o Machine translation as a tool for multilingual information: different users and use scenarios -- Maarit Koponen (December 1, 2022) Check past and upcoming webinars at the following url: http://www.hitz.eus/webinars If you are interested in participating, please complete this registration form: http://www.hitz.eus/webinar_izenematea If you cannot attend this seminar, but you want to be informed of the following HiTZ webinars, please complete this registration form instead: http://www.hitz.eus/webinar_info Best wishes, HiTZ Zentroa

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Job-Research Assistant-Inclusive Language Detection-Galway- Last Date 5.00 pm 28th October 2022
by Bharathi Raja Asoka Chakravarthi 28 Oct '22

28 Oct '22

*Research Assistant* *Natural Language Processing and Linked Data* *School of Computer Science and Data Science Institute* *Ref. No. University of Galway 272-22* Applications are invited from suitably qualified candidates for a full-time, fixed-term position as a Research Assistant with the School of Computer Science and Data Science Institute at the University of Galway. This position is funded by SFI Insight Research Centre for Data Analytics and Fidelity Investments and is available from 1 November 2022 to contract end date of 30 October 2023. The School of Computer Science is ambitious and growing, and we invite the new appointees to contribute to this together with us. The vision of the School of Computer Science is to build a strong and sustainable learning environment with world-recognised research that informs high-quality undergraduate and postgraduate teaching that is inclusive and relevant to the needs of our stakeholders and society in general. The School of Computer Science was initially established in 1991 as the Information Technology Discipline, and became a School in 2019, recognising its growth and significance. DSI incorporates the University of Galway node of the nationwide Insight Centre for Data Analytics. DSI hosts more than 100 staff and has established itself as a top player worldwide in the areas of Semantic Web and Linked Data. It has successfully implemented a research strategy around the goal of “Enabling Networked Knowledge”, which aims at capitalizing on knowledge as the fuel for the digital service economy, by linking information and exploiting the resulting knowledge graphs as the basis for economic productivity. The institute performs fundamental and applied research in a range of research areas to enable this, including data streams and sensor networks, knowledge discovery, natural language processing, social semantics and social network analysis, among others. Research outcomes are applied in use cases across a range of domains, including eGovernment, financial services, manufacturing, eHealth and Life Sciences. School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> *https://www.insight-centre.org/* <https://www.insight-centre.org/> *Job Description:* This research assistant position is in the area of Inclusive language detection, and will focus on the combination of existing natural language processing and linked data technologies. This work will build on the definition of inclusive language provided in the Fidelity report “Inclusion Guide: Language, Accessibility and more”. In addition, we will investigate open benchmarks. The successful candidate supports the activities of the project through provision of research and administrative assistance and will work under the direction of the Project Leaders Dr Bharathi Raja Chakravarthi and Dr. John McCrae. The School of Computer Science and Data Science Institute (DSI) at University of Galway is inviting applications for the position of research assistant for 1 year in the context of the SFI Insight Research Centre for Data Analytics. *Duties:* *Research* - Actively participate as a member of a research team and assist an individual research leader or team to conduct a particular study (or group of studies). - To provide assistance in conducting research activities, including planning, organizing, conducting, and communicating research studies within the overall scope of a research project. - To coordinate and perform a variety of independent tasks and team activities involved in the collection, analysis, documentation and some interpretation of information/results. - Conduct literature and database searches and interpret and present the findings of the literature searches as appropriate. - Assist in analysis and interpretation of results of own research. *Write up & Disseminate* - Write up results from own research activity (e.g. as project report) for review by PI, including preparing technical reports, conclusions and recommendations. - Contribute to the publication of findings. - Provide input into the research project’s dissemination, in whatever form (report, papers, chapters, book) as directed by the PI/project leader. Authorship should be decided in line with guidelines such as the Vancouver Protocol, or similar authorship guidelines as appropriate. - Present on research progress and outcomes e.g. to bodies supervising research; steering groups; other team members, as agreed with the PI/project leader. - Should write at least workshop level papers. *Management* - Work under the direction of the Principal Investigator/Project Leader. Plan and manage own day-to-day research activity within this framework & direction. - Provide guidance as required to any support staff and/or research students assisting with the research project, as agreed with the Principal Investigator/Grant holder. - To perform other related duties incidental to the work described herein. - Where appropriate provide advice and / or assistance to support staff, research students. *Qualifications/Skills required:* *Essential Requirements:* - MSc in Natural Language Processing, Computer Science or Linguistics - Experience with natural language processing, linked data or related technologies - Excellent understanding of experimental design and scientific methodologies - Strong command of oral and written English - Good programming skills and evidence of previously completed software projects *Desirable Requirements:* - Strong knowledge of language technology for equality, diversity, and inclusion - Knowledge of debiasing techniques in NLP task - Knowledge of gender inclusive languages - Programming experience with deep learning in Python - Strong publication record - Track record of contribution to open source projects. *Employment permit restrictions apply for this category of post* *Salary: *€27,380 to €31,050 per annum, per annum pro rata for shorter and/or part-time contracts (public sector pay policy rules pertaining to new entrants will apply *Start date*: Position is available from November 2022 *Continuing Professional Development/Training*: Further information on research and working at University of Galway is available on Research at University of Galway <http://www.nuigalway.ie/our-research/> Researchers at University of Galway are encouraged to avail of a range of training and development opportunities designed to support their personal career development plans. University of Galway provides continuing professional development supports for all researchers seeking to build their own career pathways either within or beyond academia. Researchers are encouraged to engage with our Researcher Development Centre (RDC) upon commencing employment - see https://www.universityofgalway.ie/rdc/ for further information. For information on moving to Ireland please see www.euraxess.ie Further information about the School of Computer Science and Data Science Institute is available at School of Computer Science - University of Galway <https://www.universityofgalway.ie/science-engineering/school-of-computer-sc…> https://www.universityofgalway.ie/dsi/ *NB*: Gárda vetting is a requirement for this post *To Apply:* Applications to include a covering letter, CV, and the contact details of three referees should be sent, via e-mail (in word or PDF only) to Dr. Bharathi Raja Chakravarthi ( bharathiraja.asokachakravarthi(a)universityofgalway.ie) and Dr. John P. McCrae, (john.mccrae(a)universityofgalway.ie) Please put reference number *University of Galway 272-22 *in subject line of e-mail application. *Closing date for receipt of applications is 5.00 pm 28th October 2022* We reserve the right to re-advertise or extend the closing date for this post. University of Galway is an equal opportunities employer. All positions are recruited in line with Open, Transparent, Merit (OTM) and Competency based recruitment with regards, Dr. Bharathi Raja Chakravarthi, Assistant Professor / Lecturer-above-the-bar School of Computer Science, University of Galway, Ireland Insight SFI Research Centre for Data Analytics, Data Science Institute, University of Galway, Ireland E-mail: bharathiraja.akr(a)gmail.com , bharathiraja.asokachakravarthi(a)universityofgalway.ie Google Scholar: https://scholar.google.com/citations?user=irCl028AAAAJ&hl=en

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Clickbait Spoiling at SemEval 2023: Call for Participation
by maik.froebe＠uni-jena.de 28 Oct '22

28 Oct '22

We invite you to participate in the SemEval 2023 shared task on clickbait spoiling. Clickbait spoiling means generating or extracting a short message for a clickbait post that spoils the clickbait by filling its curiosity gap. Learn more at https://clickbait.webis.de/ ------------------------------------------------------------------------------- Important Dates ------------------------------------------------------------------------------- Now open: Registration January 10, 2023: Submission deadline February 2023: Participant paper submission March 2023: Peer review notification April 2023: Camera-ready participant papers submission Summer 2023: SemEval workshop (co-located with a major NLP conference) Best regards, PAN team

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Prof / Ass Prof in Computer Science, Leeds-SWJTU Joint School, Chengdu China
by Eric Atwell 28 Oct '22

28 Oct '22

An interesting promotion opportunity to teach our Leeds CS curriculum in English to top Chinese students in the Leeds-SWJTU Joint School, Chengdu, China https://www.timeshighereducation.com/unijobs/listing/314259/tenure-track-pr…<https://www.timeshighereducation.com/unijobs/listing/314259/tenure-track-pr…> "... to deliver courses in English, supervise Joint School students in research projects, contribute to various services at SWJTU-Leeds Joint School, and conduct academic research in teams at corresponding parent school ..."

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First CfP: KONVENS 2023 Ingolstadt, Germany
by Friedrich Annemarie (CR/AIR3 GS/PJ-TOP98) 27 Oct '22

27 Oct '22

Call for Papers: KONVENS 2023, Ingolstadt, Germany We cordially invite submissions of papers and abstracts to KONVENS 2023, which takes place from September 18-22, 2023 at the Technische Hochschule Ingolstadt (Bavaria, Germany). Next to its technical program, KONVENS will feature a lively exchange between academic researchers and colleagues from industry, as well as workshops, tutorials, shared tasks, and networking events. SPECIAL THEME Natural language processing (NLP) technology is already part of our everyday life. We hence particularly invite contributions discussing the interaction of language technology and its users, including the application of speech and text technology in various settings (e.g., dialogue processing, mobility, medicine, e-commerce, or digital humanities). We encourage authors to discuss ethical aspects. We invite two types of submissions: 1. long and short papers that will be archived in the ACL Anthology, and 2. abstracts on ongoing work, student/PhD theses, etc., which will not be archived. PAPER SUBMISSION INFORMATION We welcome original, unpublished contributions on research, development, applications and evaluation, covering all areas of natural language processing, ranging from basic questions to practical implementations of natural language resources, components and systems. We encourage the submission of NLP approaches to the German language, and survey papers describing the state of the art in German language and speech processing. We invite contributions from both academia and industry. We welcome the following types of paper submissions: · Long papers (8 pages plus references and appendix), describing original research with substantial new results. · Short papers (4 pages plus references and appendix), including small focused contributions, work in progress, as well as descriptions of projects, systems and resources. Accepted papers will be presented orally or as posters as determined by the program chairs. The decisions will be based on the nature rather than the quality of the work. The conference languages are English and German. We encourage the submission of contributions in English. Each submission must include a mandatory discussion of Ethical Considerations as well as a section on Limitations (both sections do not count towards the page limit). Papers without these sections will be desk-rejected. The review process will be double-blind. Submissions must be anonymized accordingly. The conference proceedings will be published in the ACL Anthology. ABSTRACT SUBMISSION INFORMATION To foster interaction and discussion in our community, we also invite abstracts (max. 2 pages plus references) on the following topics: * Ongoing projects, open source toolkits and software, repositories, etc. * Bachelor or Master theses, student projects * PhD theses (ongoing or finished) * Use of NLP technology within industrial products * Opinion pieces Abstracts should not be anonymized. They will be made available to conference participants, but they will not be archived. Accepted abstracts will be presented as posters at the conference. We explicitly invite students and doctoral researchers to join the event and present their work and obtain feedback in our student poster session by submitting an abstract. IMPORTANT DATES * May 19th, 2023: Paper submission due (all submission types) * June 30th, 2023: Notification of acceptance * July 15th, 2023: Camera-ready papers due * September 18-22 2023: KONVENS INSTRUCTIONS FOR AUTHORS Papers and abstracts must be formatted in accordance with the ACL style sheets<https://github.com/acl-org/acl-style-files>. We strongly encourage authors to use LaTeX in preparing their document. Information on the submission procedure will follow shortly. On Behalf of the Organization Committee Munir Georges, TH Ingolstadt Annemarie Friedrich, Bosch Center for Artificial Intelligence, Renningen Aaricia Herygers, TH Ingolstadt ========================================================================================= Mit freundlichen Grüßen / Best regards Dr. Annemarie Friedrich Natural Language Processing and Semantic Reasoning (CR/PJ-AI-R26) Robert Bosch GmbH | Postfach 10 60 50 | 70049 Stuttgart | GERMANY | www.bosch.com Tel. +49 711 811-49626 | Mobil +49 172 3008243 | Annemarie.Friedrich(a)de.bosch.com<mailto:Annemarie.Friedrich@de.bosch.com> Sitz: Stuttgart, Registergericht: Amtsgericht Stuttgart, HRB 14000; Aufsichtsratsvorsitzender: Prof. Dr. Stefan Asenkerschbaumer; Geschäftsführung: Dr. Stefan Hartung, Dr. Christian Fischer, Filiz Albrecht, Dr. Markus Forschner, Dr. Markus Heyn, Rolf Najork

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First Call for Papers: Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023)
by Fahad Khan 27 Oct '22

27 Oct '22

============== Call for Papers @ Fourth Biennial Conference on Language, Data and Knowledge (LDK 2023) Dates: 12–13 September 2023 (Workshops/Tutorials day), 14–15 September 2023 (Main Conference) Location: Vienna, Austria Website: http://2023.ldk-conf.org Submission Deadline: 10 March 2023 ============== We invite submissions for the fourth biennial conference on Language, Data and Knowledge (LDK 2023) to be held in Vienna, Austria in September 2023. This conference aims to bring together researchers from across different disciplines concerned with the acquisition, treatment, curation and use of language data in the context of data science and knowledge-based applications. This edition builds upon the success of the inaugural event held in Galway, Ireland in 2017, the second LDK in Leipzig, Germany in 2019, and the third LDK in Zaragoza, Spain in 2021. Paper submission We welcome submission of relevance to the topics listed below. Submissions can be in the form of: - Long papers: 9–12 pages; - Short papers: 4–6 pages. All submission lengths are given including references. Accepted submissions will be published by ACL in an open-access conference proceedings volume, free of charge for authors. The ACL templates <https://github.com/acl-org/acl-style-files> should therefore be used for all conference submissions. As the reviewing process is single-blind, submissions should not be anonymized. More information will be provided soon regarding the submission platform and respective link. Presentation format Accepted submissions will be selected for oral or poster presentation based on recommendations from the reviewers. This decision will not reflect any difference in the quality of the papers, and there will be no distinction between oral and poster presentations in the published proceedings. Authors of accepted short papers or posters are welcome to present their work as a demo in addition to the regular presentation. The conference will be hybrid (face-to-face and remote). Note that at least one author of each accepted paper must register to present the paper at the conference (either remotely or on-site). There will be no registration fee administered for participating in LDK 2023. Topics Relevant topics for the conference include, but are not limited to, the following fields: Language Data - Language data construction and acquisition - Language data annotation - FAIR data practices for language data - Language data portals and metadata about language data - Organisational and infrastructural management of language data - Multilingual, multimedia and multimodal language data - Evaluation, provenance and quality of language data - Visualisation of language data - Standards and interoperability of language data - Legal aspects of publishing language data - Under-resourced languages - e-Lexicography - Semantic processing Knowledge Graphs - Linguistic linked data and the multilingual semantic web - Ontologies, terminologies, wordnets, framenets and related resources - Information and knowledge extraction (taxonomy extraction, ontology learning) - Data, information and knowledge integration across languages - (cross-lingual) ontology alignment - Entity linking and relatedness - Linked data profiling - Knowledge representation and reasoning - Knowledge graphs for corpora processing and analysis Applications for Language, Data and Knowledge - Question answering and semantic search - Text analytics on big data - NLP for language documentation and preservation - Speech recognition and synthesis - Spoken language processing - Semantic content management - Computer-aided language learning - Natural language interfaces to big data - Knowledge-based NLP - Deep learning and machine learning for and on LLOD - Other applications Use Cases in Language, Data and Knowledge Contributions are welcome where the topics above - and others within the scope of Language, Data and Knowledge - are applied to domain-specific use cases, including but not limited to social sciences and humanities, legal, life sciences, FinTech, cybersecurity. Organising committee Conference Chairs - Jorge Gracia – University of Zaragoza - John P. McCrae – University of Galway Program Chairs: - Sara Carvalho – University of Aveiro - Anas Fahad Khan – Institute for Computational Linguistics “A. Zampolli” Workshop and tutorial chairs: - Ana Ostroški Anić – Institute of Croatian Language and Linguistics - Blerina Spahiu – University of Milano-Bicocca Local Chair: - Dagmar Gromann – University of Vienna Proceedings Chair: - Ana Salgado – Lisbon Academy of Sciences Important Dates 10 March 2023 Paper submission deadline 28 April 2023 Notification 26 May 2023 Camera-ready submission deadline 12–13 September 2023 Pre-conference events 14–15 September 2023 Main conference Note that a call for workshop proposals is to follow with a submission deadline for 19th of December. All deadlines refer to anywhere-on-earth time. Program Committee (to be announced)

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Internship : Study on the accuracy of citations in scientific papers
by AMIRA BARHOUMI 27 Oct '22

27 Oct '22

Call for Internship applications in Natural Language Processing Title : Study on the accuracy of citations in scientific papers Starting date : February 2023 Application deadline : December 5th, 2022 Location: LIG laboratory, Grenoble Alps University, France Keywords: Natural language processing, Scientific literature, citation accuracy Context : The NanoBubbles ERC Synergy project’s objective ( https://nanobubbles.hypotheses. org ) is to understand how, when and why science fails to correct itself. The project focuses on claims made within the field of nanobiology. Project members combine approaches from the natural sciences, computer science, and the social sciences and humanities (Science and Technology Studies) to understand how error correction in science works and what obstacles it faces. For this purpose, we aim to trace claims and corrections through various channels of scientific communication (journals, social media, advertisements, conference programs, etc.) via both qualitative and digital methods. Internship objectives : In scientific papers, citations acknowledge the sources and help the reader to find more information about the citation context. Citations are also an important indicator ex ploited to identify significant publications in a specific scientific field (Arag on 2013). They are used for different purposes, e.g. referring to state of the art, to a specific method or result, and they reflect how authors frame their work and this diversity impacts future academics adoption (Jurgens 2018). Recently, there have been numerous research in Natural Language Processing on citation analysis in scientific literature. Studies of citation behavior aim at understanding how researchers cited a paper in their work. Existing works on citation analysis deal with determining citation sentiment (Liu 2017, Athar 2011), finding out citation function (Yu 2020, Pride 2019, Bakhti 2018) and identifying criti cal citation contexts (Te 2022). Nevertheless, studies that evaluate the accuracy of citations are scarce. Studies on the accuracy of citations in various scientific disciplines demonstrate an error rate of 25%-54% (Jergas 2015, Siebers 2000, Kristof 1997, Key 1977). These errors alter the original content and meaning of the cited paper. They can range from minor to major errors in citation accuracy. Several studies describe various issues that may arise when citing original research done by others. For example, in the following sentence “ it has been shown that bubblegum is much more pink than flamingo while running very fast [Einstein A., 1916] ”: * “ [Einstein A., 1916] ” represents the "citation" * The citation refers to the following scientific paper “ Einstein, A. (1916 (translation 1920)), Relativity: The Special and General Theory ” * The Einstein’s paper represents the cited paper * The cited paper is not correlated with the meaning of the sentence, i.e. there is no relation between the colors and the relativity notion. The aim of this internship is to assess the content of both cited and citing papers in scientific literature, i.e. study the correlation between the citation and its context in the citing paper in order to identify miss-citations. The intern tasks would then be to (1) test and compare unsupervised NLP methods and pre-trained embedding models (SciBert, BioBert, etc. ) in order to measure the accuracy of citations using available datasets, and to (2) provide project members with a set of reliable tools. Skills : * Being enrolled in a Master in Natural Language Processing, computer science or data science. * Good programming skills in Python, experience with natural language processing tools and frameworks, knowledge of machine learning methods and deep learning technics. * Ability to communicate and write in English is a plus Scientific environment : The work will be conducted within the Sigma team of the LIG labora tory (http://sigma.imag.fr). The recruited person will be welcomed within the team which offer a stimulating, multinational and pleasant working environment. Instructions for applying : Applications must contain a CV + letter/message of motivation + mas ter grades + letter(s) of recommendation (or names for potential letters), and be addressed to Cyril Labbé (cyril.labbe(a)imag.fr) and Amira Barhoumi (amira.barhoumi(a)univ-grenoble-alpes.fr). Applica tions will be considered on the fly. It is therefore advisable to apply as soon as possible. References : * (Arag on 2013) Arag on M. A measure for the impact of research. Scientific reports. 2013;3(1):1–5. * (Jurgens 2018) Jurgens D, Kumar S, Hoover R, Mc-Farland D, Jurafsky D. Measuring the Evo lution of a Scientific Field through Citation Frames. Transactions of the Association for Com putational Linguistics. 2018;6:391–406. * (Jergas 2015) Jergas H, Baethge C. Quotation accuracy in medical journal articles-a systematic review and meta-analysis. PeerJ. 2015;3:e1364. * (Kristof 1997) Kristof C. Accuracy of reference citations in five entomology journals. Am Ento mol. 1997;43(4):246-251. * (Key 1977) Key JD, Roland CG. Reference accuracy in articles accepted for publication in the Archives of Physical Medicine and Rehabilitation. Arch Phys Med Rehabil. 1977;58(3):136-137. * (Siebers 2000) Siebers R, Holt S. Accuracy of references in five leading medical journals. Lancet. 2000;356(9239):1445. * (Te 2022) Te S, Barhoumi A, Lentschat M, Bordignon F, Labb ? e C, Portet F. Citation Context Classification: Critical vs Non-critical. In proceedings of the Third Workshop on Scholarly Document Processing. 2022:49-53. * (Liu 2017) Liu H. Sentiment analysis of citations using word2vec. 2017;CoRR, abs/1704.00177. * (Athar 2011) Athar A. Sentiment analysis of citations using sentence structure-based features. In Proceedings of the ACL 2011 Student Session. 2011:81–87. * (Bakhti 2018) Bakhti K, Niu Z, Yousif A, Nyamawe A. Citation Function Classification Based on Ontologies and Convolutional Neural Networks. 2018:105–115. * (Pride 2019) Pride D, Knoth P, Jozef Harag J. Act: An annotation platform for citation typing at scale. In 2019 ACM/IEEE Joint Conference on Digital Libraries (JCDL). 2019:329–330. * (Yu 2020) Yu W, Yu M, Zhao T, Jiang M. Identifying referential intention with heterogeneous contexts. 2020:962–972.

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ESSLLI 2023: Call for Course and Workshop Proposals
by Kilian Evang 27 Oct '22

27 Oct '22

CALL FOR COURSE AND WORKSHOP PROPOSALS 34th European Summer School in Logic, Language and Information – ESSLLI 2023 31 July–11 August, 2023, Ljubljana, Slovenia https://2023.esslli.eu/ Important Dates =============== 13 January 2023: Course Title submission deadline (mandatory) 20 January 2023: Final submission 3 March 2023: Notification Introduction ============ Under the auspices of the Association for Logic, Language, and Information (FoLLI), the European Summer School in Logic, Language, and Information (ESSLLI) runs every year. Except for 2021, where the school was virtual, it runs in a different European country each year. It takes place over two weeks in the summer, hosts approximately 50 different courses at both introductory and advanced levels, and attracts around 400 participants from all over the world. Since 1989, ESSLLI has been providing outstanding interdisciplinary educational opportunities in the fields of Computer Science, Cognitive Science, Linguistics, Logic, Philosophy, and beyond. It comes from a community which recognizes that advances in our common areas require the contributions of multiple interrelated disciplines. The main focus of ESSLLI is the interface between linguistics, logic and computation, with special emphasis in human linguistic and cognitive ability. Courses, both introductory and advanced, cover a wide variety of topics within the combined areas of interest: Logic and Computation, Computation and Language, and Language and Logic. Workshops are also organized, providing opportunities for in-depth discussion of issues at the forefront of research, as well as a series of invited evening lectures. Topics and Format ================= Proposals for courses and workshops at ESSLLI 2023 are invited in all areas of Logic, Linguistics and Computer Sciences. Cross-disciplinary and innovative topics are particularly encouraged. Each course and workshop will consist of five 90 minute sessions, offered daily (Monday-Friday) in a single week. Proposals for two-week courses should be structured and submitted as two independent one-week courses, e.g. as an introductory course followed by an advanced one. In such cases, the ESSLLI program committee reserves the right to accept just one of the two proposals. All instructional and organizational work at ESSLLI is performed completely on a voluntary basis, so as to keep participation fees to a minimum. However, organizers and instructors have their registration fees waived, and are reimbursed for travel and accommodation expenses up to a level to be determined and communicated with the proposal notification. ESSLLI can only guarantee reimbursement for at most one course/workshop organizer, and cannot guarantee full reimbursement of travel costs for lecturers or organizers from outside of Europe. The ESSLLI organizers would appreciate any help in controlling the School's expenses by seeking partial or complete coverage of travel and accommodation expenses from other sources. Categories ========== Each proposal should fall under one of the following categories. Foundational Courses -------------------- Such courses are designed to present the basics of a research area, to people with no prior knowledge in that area. They should be of elementary level, without prerequisites in the course's topic, though possibly assuming a level of general scientific maturity in the relevant discipline. They should enable researchers from related disciplines to develop a level of comfort with the fundamental concepts and techniques of the course's topic, thereby contributing to the interdisciplinary nature of our research community. Introductory Courses -------------------- Introductory courses are central to ESSLLI's mission. They are intended to introduce a research field to students, young researchers, and other non-specialists, and to foster a sound understanding of its basic methods and techniques. Such courses should enable researchers from related disciplines to develop some comfort and competence in the topic considered. Introductory courses in a cross-disciplinary area may presuppose general knowledge of the related disciplines. Advanced Courses ---------------- Advanced courses are targeted primarily to graduate students who wish to acquire a level of comfort and understanding in the current research of a field. Workshops --------- Workshops focus on specialized topics, usually of current interest. Workshop organizers are responsible for soliciting papers and selecting the workshop program. They are also responsible for publishing proceedings if they decide to have proceedings. Proposal Guidelines =================== Course and workshop proposals should closely follow these guidelines to ensure full consideration. Course and Workshop proposals can be submitted by no more than two lecturers/organizers and they are presented by no more than these two lecturers/organizers. All instructors and organizers must possess a PhD or equivalent degree by the submission deadline. Course proposals should mention explicitly the intended course category. Proposals for introductory courses should indicate the intended level, for example as it relates to standard textbooks and monographs in the area. Proposals for advanced courses should specify the prerequisites in detail. Proposals of Courses given at ESSLLI the previous year will have a lower priority of being accepted in the current year. Proposals must be in PDF format include all of the following: 1. Personal information for each proposer: Name, affiliation, contact address, email, homepage (optional) 2. General proposal information: Title, category 3. Contents information: a. Abstract of up to 150 words b. Motivation and description (up to two pages) c. Tentative outline d. Expected level and prerequisites e. Appropriate references (e.g. textbooks, monographs, proceedings, surveys) 4. Information on the proposer and course: a. Will your course appeal to students outside of the main discipline of the course? b. Include information on your experience in the intensive one-week interdisciplinary setting c. Include evidence that the course proposer is an excellent lecturer 5. Information from workshop organizers: a. Include information on relevant preceding meetings and events, if applicable b. Include information about potential external funding for participants Submission Information ====================== **By January 13, 2023:** You are asked to submit in EasyChair at least the name(s) of the instructor(s), the ESSLLI area+course level and a short abstract. **By January 20:** Your submission must be completed by uploading a PDF with the actual proposal as detailed above. Submission Portal ================= Please submit your proposals to https://easychair.org/conferences/?conf=esslli2023 Childcare ========= If there is enough interest, ESSLLI will provide information on private child care services available during the summer school. EACSL Sponsorship ================= The EACSL will support one Logic and Computation course or workshop addressing topics of interest to Computer Science Logic (CSL) conferences. The selected course or workshop will be designated an EACSL course/workshop in the programme. If you wish to be considered for this, please indicate so in your proposal. Organizing Committee ==================== Slavko Žitnik (University of Ljubljana) (chair) Špela Vintar (University of Ljubljana) Timotej Knez (University of Ljubljana) Mojca Brglez (University of Ljubljana) Matej Klemen (University of Ljubljana) Aleš Žagar (University of Ljubljana) Program Committee ================= Juha Kontinen (University of Helsinki) (chair) Kaja Dobrovoljc (University of Ljubljana) (local co-chair) Area Chairs Language and Computation (LaCo) ------------------------------------------- Kilian Evang (Heinrich Heine University Düsseldorf) Miryam de Lhoneux (KU Leuven) Shane Steinert-Threlkeld (University of Washington) Area Chairs Language and Logic (LaLo) ------------------------------------- Ivano Ciardelli (University of Padua) Agata Renans (Ruhr-Universität Bochum) Jacopo Romoli (Heinrich Heine University Düsseldorf) Area Chairs Logic and Computation (LoCo) ---------------------------------------- Natasha Alechina (Utrecht University) Alessandra Palmigiano (Vrije Universiteit Amsterdam) Lutz Straßburger (Inria Saclay & École Polytechnique) ESSLLI Steering Committee ========================= Darja Fiser (University of Ljubljana) (chair) Phokion Kolaitis (University of California, Santa Cruz) (vice-chair) Roman Kuznets (TU Wien) Petya Osenova (Bulgarian Academy of Sciences and Sofia University) (secretary) Jakub Szymanik (University of Amsterdam)

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