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[IRCDL2023] Extended Deadline - 2nd CFP: 19th Italian Research Conference on Digital Libraries (The Conference on Information and Research science Connecting to Digital and Library science)
by Stefano Marchesin 05 Dec '22

05 Dec '22

*IRCDL 2023: Call for papers* *[APOLOGIES FOR MULTIPLE POSTINGS]* *EXTENDED DEADLINE: 19 December 2022 * *STUDENT GRANT AVAILABLE SPONSORED BY ITALIAN ASSOCIATION ON ARTIFICIAL INTELLIGENCE (AIIA)* ================================================================== CALL FOR PAPERS IRCDL 2023 The Conference on Information and Research science Connecting to Digital and Library science 2023 (Formerly the Italian Research Conference on Digital Libraries) Bari, Italy - 23-24 February 2023 Venue: University of Bari "Aldo Moro", Bari, Italy Website: http://lacam.di.uniba.it/IRCDL23/ ================================================================== Since 2005 the Italian Research Conference on Digital Libraries is a yearly date for researchers on Digital Libraries and related topics, organized by the Italian Research Community. Over the years IRCDL has become an important national forum focused on technical, practical, and social issues. IRCDL encompasses the many meanings of the term “digital libraries”, including new forms of information institutions; operational information systems with all manner of digital content; new means of selecting, collecting, organizing, and distributing digital content; and theoretical models of information media, including document genres and electronic publishing. Digital libraries may be viewed as a new form of information institution or as an extension of the services libraries currently provide. Representatives from academia, government, industry, research communities, research infrastructures, and others are invited to participate in this conference. The conference draws from a broad and multidisciplinary array of research areas including computer science, information science, librarianship, archival science and practice, museum studies and practice, technology, social sciences, cultural heritage and humanities, and scientific communities. This year its focus is on Artificial Intelligence and Semantic Web Technologies Empowering Digital Libraries. AI is nowadays pervasive and is being embedded in all kinds of applications. Its techniques – from Knowledge Representation and Reasoning to Machine Learning and Data Mining, from Natural Language Processing to Image Processing, etc. – and application (e.g. for metadata enrichment and data analysis) may cause breakthroughs in DL research and practices for all kinds of stakeholders. Semantic Web technologies are key to exploiting the semantics of information preserved in DLs, thus enabling advanced and personalized services and functionality for its users. Submissions are welcome concerning theory, architectures, data models, tools, services, and infrastructures about the following topics (but not limited to): - Active Learning Techniques to guide DL enrichment and curation - Applications of Digital Libraries - Applications of Machine Learning Techniques to Research Data and DL - Citation Analysis and Scientometrics - Cultural Heritage Access and Analysis - Data Citation, Provenance and Pricing - Data and Information Lifecycle (creation, store, share and reuse) - Data and Metadata Quality - Data Repositories and Archives - Digital Preservation and Curation - Document Analysis (Layout, Text, Images) - Knowledge Acquisition from scientific papers and data - Knowledge Base Construction for cultural heritage - Knowledge Discovery and Representation in Digital Libraries - Human-Computer Interaction and User Experience - Information Extraction from tables and figures in scientific literature - Information Retrieval and Access - Metadata (definition, management, curation, integration) - Multi-media handling - Ontologies - Open Data and Open Science: models, practices, mandates, and policies - Quality and evaluation of digital libraries - Research Infrastructures - Scholarly Communication - Science of Science - Semantic Web Technologies and Linked Data for DLs - Services for Digital Arts and Humanities - Standards and Interoperability - User Participation IMPORTANT DATES *Submission Extended Deadline: 19 December 2022* Acceptance Notification: 20 January 2023 Camera-Ready Deadline: 13 February 2023 Conference: 23-24 February 2023 SUBMISSION FORMAT Research papers, describing original ideas on the listed topics and on other fundamental aspects of digital libraries and technology, are solicited. Moreover, short papers on early research results, new results on previous published works, discussion papers on previously published works, demos, and projects are also welcome. Research papers presenting original works should be in the 10-12 pages range, short papers should be in the 6-7 pages range and extended abstract should be 5 pages long. For all the submission types the references are not counted in the page limit. All papers must be written in English and formatted according to the new workflow for CEUR-WS style proceedings guidelines. The guidelines can be found here: http://ceur-ws.org/HOWTOSUBMIT.html Authors should submit their papers as single-column. The templates are available here (we strongly recommend the usage of LaTeX for the camera-ready papers to minimize the extent of reformatting): Overleaf template in LaTeX format: https://www.overleaf.com/latex/templates/template-for-submissions-to-ceur-w… Overleaf offline template (LaTeX format): http://ceur-ws.org/Vol-XXX/CEURART.zip Word template: http://ceur-ws.org/Vol-XXX/CEUR-Template-1col.docx ODT template: http://ceur-ws.org/Vol-XXX/CEUR-Template-1col.odt The accepted papers will be published in the IRCDL 2023 Proceedings. The Proceedings will be published by CEUR-WS, which is gold open access and indexed by SCOPUS and DBLP. SUBMISSION MODE Authors can submit their papers electronically via our submission page through Microsoft’s Conference Management Toolkit (CMT): https://cmt3.research.microsoft.com/IRCDL2023 GENERAL CHAIR Stefano Ferilli, University of Bari A. Moro, Italy PROGRAM CHAIRS Alessia Bardi, ISTI CNR, Italy Stefano Marchesin, University of Padua, Italy Domenico Redavid, University of Bari A. Moro, Italy PROCEEDINGS CHAIRS Alex Falcon, University of Udine, Italy LOCAL ORGANIZATION Davide Di Pierro, University of Bari A. Moro, Italy Paolo Mignone, University of Bari A. Moro, Italy -- Stefano Marchesin, PhD Postdoctoral Researcher Information Management Systems (IMS) Group Department of Information Engineering University of Padua Via Gradenigo 6/a, 35131 Padua, Italy Home page: http://www.dei.unipd.it/~marches1/

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2-year full-time postdoc in computational linguistics at FAU Erlangen-Nürnberg
by Stephanie Evert 05 Dec '22

05 Dec '22

The project “Reading concordances in the 21st century (RC21)”, run jointly by Friedrich-Alexander-Universität Erlangen-Nürnberg and the University of Birmingham is looking for a POSTDOCTORAL RESEARCHER IN COMPUTATIONAL LINGUISTICS (100%, E13 TV-L, starting ASAP) Application deadline: 16 Dec 2022 Interviews: week beginning 19 Dec 2022 (held via zoom) Format of application: by email to stephanie.evert(a)fau.de (including evidence of all relevant qualifications, preferably in a single PDF) Start of position: 1 Feb 2023 Duration of employment: until 31 Jan 2025 Placement: Computational Corpus Linguistics group (www.linguistik.fau.de) Contact / queries: Stephanie Evert https://www.jobs.fau.de/jobs/postdoctoral-researcher-in-computational-lingu… This is the first of two postdoctoral positions. The second post, which will be based at the University of Birmingham, will be advertised in the new year, with a starting date in the spring. PROJECT INFO In today's digital world, the amount of text communicated in electronic form is ever-increasing and there is a growing need for approaches and methods to extract meanings from texts at scale. Corpus linguists have long been studying recurring patterns in digitised texts with the help of concordances, i.e. displays that show many occurrences of a word, phrase or construction across a range of contexts in a compact format. However, lacking a well-established and clear-cut methodology, the art of reading concordances has not yet realised its full potential. At the same time, there has been very little innovation in algorithms in the concordance software packages available to corpus linguists. This project proposes an innovative approach to reading concordances in the 21st century. Through the collaboration between the University of Birmingham and Friedrich-Alexander-Universität Erlangen-Nürnberg we combine strengths in theoretical work in corpus linguistics with expertise in computational algorithms in order to develop a systematic methodology for reading concordances and corresponding algorithms for the semi-automatic analysis of concordance lines. Through two case studies on English and German data sets, we will establish an approach that not only provides innovation in corpus linguistics, but also has wider implications for the analysis of textual data at scale, while still retaining a humanities perspective. RESPONSIBILITIES OF THE POSTDOCTORAL RESEARCHER • Developing, implementing, and applying novel computer algorithms to support and improve the manipulation of concordance displays • Producing documentation • Carrying out interdisciplinary case studies using the new methodology in close collaboration with other researchers • Leading on the organisation of workshops and other dissemination activities • Developing training materials for workshops and materials for web presence • Analysing data, writing up results, and co-authoring publications • Managing project tasks, supervising student assistants, and providing progress reports • Managing collaborative activities with the UK team REQUIRED QUALIFICATIONS • PhD or DPhil in Computational Linguistics, Computer Science, Machine Learning, Corpus Linguistics, Computational Humanities, or similar subject (completed or near completion) • Evidence of strong programming skills, ideally in Python • Evidence of ability to analyse linguistic data • Native-like language skills in German and English • Excellent communication skills in English, including the ability to write for publication, present research proposals and results, and represent the project team at meetings and research events • Ability to work independently, manage own academic research and associated activities, and to supervise student assistants OPTIONAL QUALIFICATIONS • Strong publication record (commensurate with opportunities and experience) at relevant international conferences (computational linguistics, DH, corpus linguistics) • Experience in interdisciplinary research is a plus • Experience with deep learning approaches and/or statistical methods is a plus

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2-year postdoc on perspectivism at University of Turin
by Valerio Basile 05 Dec '22

05 Dec '22

We are offering a 2-year postdoc position in the Computer Science Department of the University of Turin, Italy, in the context of the project POPULUS, funded by Amazon Alexa and Compagnia di San Paolo. The project concerns the development of perspectivist NLP methods for the analysis of pragmatic phenomena in language, such as irony, sarcasm, offensiveness or hate speech. References: https://nlperspectives.di.unito.it/ https://pdai.info/ https://arxiv.org/pdf/2109.04270.pdf https://ojs.aaai.org/index.php/HCOMP/article/view/7473/7260 The project is highly interdisciplinary, with a team of five University researchers led by Valerio Basile in collaboration with a research team from Amazon Alexa. A PhD in Computer Science, Computational Linguistics, or related areas is highly recommended. Knowledge of Italian is not mandatory. The deadline for application is *December 22nd* 2022. Starting date: February or March 2023 The gross yearly salary is 23.097 EUR, corresponding to a net pay of 1,700 EUR/month. The official call documentation, in Italian, including other postdoc positions at the University of Turin, is here: https://webapps.unito.it/albo_ateneo/?area=Albo&action=Read_Download&id_att… The application must be submitted through the PICA system: https://pica.cineca.it/en/unito/assegni-di-ricerca-unito-2022-v/ (click on "manage your applications") The Content-centered Computing group ( https://cs.unito.it/do/gruppi.pl/Show?_id=453y) is a research group at the Department of Computer Science focused on the study and the development of "content items". The group is highly inter- and trans-disciplinary, with interests in Computational Linguistics, Multimedia, Cognitive Science, Semantic Web, and more, as well as the creation of language resources and the organization of evaluation campaigns. The University of Turin (UniTo) is one of the largest Italian Universities, with about 80.000 students, 3.900 employees (academic, administrative and technical staff), 1.800 post-graduate and post-doctoral research fellows. Research and training are performed in 27 Departments, encompassing all scientific disciplines. According to ARWU international ranking, in 2018 UniTo ranks among the top 300 universities out of 1.200 and as the second university in Italy. Please write to Valerio Basile <valerio.basile(a)unito.it> for any further information.

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[ECIR 2023] Call for Industry Day Presentations
by Esraa Ali 05 Dec '22

05 Dec '22

Hello All, We are pleased to announce the call for industry day presentations at the 45th European Conference on Information Retrieval (ECIR'23). The Industry Day of ECIR’23 will be held on Thursday 6th April 2022 in Dublin, Ireland, immediately after the main conference program. Our goal is to bring together product developers, information professionals and IR researchers to promote knowledge sharing and innovation across academia and industry. This year, our primary focus will be on *differences and challenges in building dedicated information access systems versus building “search as a service”*. Applications may cover search or recommendation systems in various domains (e-commerce, vertical search, etc) and modalities (voice, music, images, etc). Similarly to 2021, we also encourage presentations of research works carried out during student internships and showing how interns contributed impactfully on real-world products with innovative ideas. Submissions about topics relevant to ECIR in general are encouraged. - *Deadline for proposal submission*: January 30, 2023, 11:59 pm (AoE) Please find submission instructions : http://ecir2023.org/calls/industry.html *Industry Day Chairs:* - Nicolas Fiorini (Algolia, France) - Isabelle Moulinier (Thomson Reuters, US) Thank you! Esraa Ali, Ph.D. DCU Publicity officer, ECIR 2023 -- * *Séanadh Ríomhphoist/Email Disclaimer* *Tá an ríomhphost seo agus aon chomhad a sheoltar leis faoi rún agus is lena úsáid ag an seolaí agus sin amháin é. Is féidir tuilleadh a léamh anseo. <https://sites.google.com/view/seanadh-riomhphoist>* *This e-mail and any files transmitted with it are confidential and are intended solely for use by the addressee. Read more here. <https://sites.google.com/view/dcu-email-disclaimer>* * -- <https://www.facebook.com/DCU/> <https://twitter.com/DCU> <https://www.linkedin.com/company/dublin-city-university> <https://www.instagram.com/dublincityuniversity/?hl=en> <https://www.youtube.com/user/DublinCityUniversity>

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Recruiting PhD students in NLP at the University of Sydney
by Jonathan K Kummerfeld 05 Dec '22

05 Dec '22

Hi, I'm recruiting PhD students for my group at the University of Sydney. See this page for details: https://www.jkk.name/students/recruiting-phd/ I have funding for projects in a wide range of NLP topics. Topics I am particularly interested in include: (1) language to code dialogue systems, (2) NLP for data science, (3) human-AI collaborative systems. Note that, unlike the central application process for many PhD programs, students should apply directly to me. Thanks! Jonathan Kummerfeld -- Senior Lecturer (ie. research tenure-track Asst. Prof.) University of Sydney e: j.k.kummerfeld(a)gmail.com w: www.jkk.name

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RANLP-2023: Call for Workshop Proposals
by Petya Osenova 04 Dec '22

04 Dec '22

Call for Workshop Proposals RANLP-2023: 14th Conference on Recent Advances in Natural Language Processing Main conference: 4-6 September 2023 Workshops: 7-8 September 2023 (Thursday-Friday) Varna, Bulgaria https://ranlp.org/ranlp2023/ Following the workshops held in conjunction with the Conferences "Recent Advances in Natural Language Processing" RANLP-2005, RANLP-2007, RANLP-2009, RANLP-2011, RANLP-2013, RANLP-2015, RANLP-2017, RANLP-2019 and RANLP-2021, we are pleased to announce a call for workshop proposals for RANLP-2023. RANLP-2023 invites workshop proposals on any topic of interest to the Natural Language Processing (NLP) community, ranging from fundamental research issues to more applied industrial or commercial aspects. The format of each workshop will be determined by its organisers. Workshops can vary in length from a half day to full 1-2 days and can also feature demo sessions. Accepted workshops will receive one free registration to RANLP-2023 (full registration including the summer school, tutorials, all workshops, conference, reception, conference dinner). VENUE The workshops will take place in Hotel "Cherno More", Varna, the main RANLP-2023 conference venue. If more than 6 workshops are selected, the RANLP-2023 organisers will provide space in some of the neighbouring hotels in downtown Varna. IMPORTANT DATES Workshop proposals due: 31 January 2023 Workshop selection: 15 February 2023 Workshop website due: 15 March 2023 Workshop paper submission deadline (suggested): 10 July 2023 Workshop paper acceptance notification (suggested): 5 August 2023 Workshop paper camera-ready versions (suggested): 25 August 2023 Workshop camera-ready proceedings ready (suggested): 31 August 2023 Workshops: 7-8 September 2023 Workshop organisers will need to make sure that there is no delay in terms of notifications as authors of accepted papers who need a visa, may need up to 1 month to secure it. REQUIREMENTS Proposals should be no longer than five pages and should contain the following: 1. Title and brief technical description of the workshop, specifying the goals and the technical issues that it will focus on; 2. Brief description of the target audience, including estimates of the numbers of submissions and attendees (a tentative list of potential contributors would be useful); 3. List of related workshops/events held in the last three years or to be held in 2023; 4. Tentative workshop program committee; 5. Names and contact information (web page, email address) of the proposed organising committee; 6. Description of the experience of the proposed organisers in the workshop topics and in organising workshops or related events. The workshop Organising Committee is responsible for the following: * Installing and supporting the workshop website; * Disseminating call for papers/participation; * Organising paper submission, review process, authors notification, and collecting audio/visual presentation requirements; * Verifying the camera-ready copies, providing electronic conference proceedings, generated with the conference management system. Workshop invited speakers: If the workshop organisers intend to host an invited talk, it is recommended that they invite somebody from the main conference keynote speakers or participants. If the workshop organisers decide to invite another speaker, it is very likely that the workshop organisers will have to secure financial support for this speaker. The RANLP-2023 Organising Committee is responsible for the following: * Supporting link to a workshop's web page; * Publishing the workshop proceedings with ISBN numbers, and registering DOI numbers for all accepted papers; * Providing the workshop venue; * Organising registration, audio/visual support, coffee breaks, registration facilities, Internet access. WORKSHOP PROPOSAL SUBMISSION Workshop proposals in PDF format should be e-mailed to Kiril Simov <kivs[at]bultreebank[dot]org> and cc'ed to <2023[at]ranlp[dot]org > EVALUATION Submitted proposals will be reviewed with respect to the following criteria: * Relevance, importance, and timeliness of the topics; * Completeness, clarity, and quality of the workshop proposal; * Experience of the organisers in the proposed topics; * Viability of the workshop. THE TEAM BEHIND RANLP-2023 Galia Angelova, Bulgarian Academy of Sciences, Bulgaria (OC Chair) Ruslan Mitkov, University of Wolverhampton, UK (PC Chair) Preslav Nakov, Mohamed bin Zayed University of Artificial Intelligence, United Arab Emirates Nikolai Nikolov, INCOMA Ltd., Shoumen, Bulgaria Ivelina Nikolova-Koleva, Bulgarian Academy of Sciences, Bulgaria Petya Osenova, Bulgarian Academy of Sciences, Bulgaria Rocío Caro Quintana, University of Wolverhampton, UK Kiril Simov, Bulgarian Academy of Sciences, Bulgaria (Workshop coordinator)

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ESSLLI 2023: Second Call for Course and Workshop Proposals
by Kilian Evang 02 Dec '22

02 Dec '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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2 PhD positions in Computational Linguistics / Sociolinguistics for Luxembourgish at the University of Luxembourg
by Christoph PURSCHKE 02 Dec '22

02 Dec '22

dear colleagues, in the context of an upcoming research project (TRAVOLTA – Tracing Attitudes and Variation in Online Luxembourgish Text Archives) we currently have two open positions for doctoral candidates with a background in nlp, computational linguistics, sociolinguistics or variationist linguistics. the candidates will be members of the department of humanities at the university of luxembourg. the project will be the first to monitor the development of luxembourgish into a fully-fledged written language using data from the rtl.lu news portal. we will develop state-of-the-art tools and pipelines for nlp purposes and use them to trace variation and social stances in written text. additional information about the project can be found here<https://purschke.info/en/travolta/>. it would be great if you could share the positions in your respective networks. please also feel free to reach out should you have any questions regarding the positions or would be interested in applying. both positions will be filled for 3 + 1 years max. with a current yearly salary of roughly 38k €. given the multilingual setup of the university and the special requirements of the project, candidates should have proficiency in english and german (intermediate), luxembourgish will be an asset, of course. thx & cheers christoph Position 1) Doctoral candidate in in Computational Linguistics / Variationist Linguistics * Full profile: http://emea3.mrted.ly/39skj * Research in the field of Computational/Variationist Linguistics with a focus on variation in written Luxembourgish * Background in * * Either: Computational Linguistics, Computer Science, or a related field with prior experience in working with language data * Or: Linguistics, Variationist Linguistics, or a related field with prior experience in data science applications (NLP, Python, r) Position 2) Doctoral candiate in Computational Linguistics / Sociolinguistics * Full profile: http://emea3.mrted.ly/39snq * Research in the field of Computational Linguistics/Sociolinguistics with a focus on attitudes & stances in written luxembourgish * Background in * Either: Computational Linguistics, Computer Science, or a related field with prior experience in working with language data * Or: Sociolinguistics, Linguistics, or a related field with prior experience in data science applications (NLP, Python, r) — Christoph Purschke Associate Professor in Computational Linguistics Head of the Culture & Computation Lab Faculty of Humanities, Education and Social Sciences UNIVERSITÉ DU LUXEMBOURG BELVAL CAMPUS 11, Porte des Sciences L-4366 Esch-sur-Alzette T +352 46 66 44 9226 M +352 661 266 323 W purschke.info<http://www.purschke.info> | cucolab.uni.lu<http://cucolab.uni.lu> christoph.purschke(a)uni.lu<mailto:christoph.purschke@uni.lu> | @questoph<https://twitter.com/questoph/> Languages: DEU, ENG, FRA, ITA, LTZ, NDS, PYT Book a meeting: 30 min<https://fantastical.app/questoph/short-meeting> | 60 min<https://fantastical.app/questoph/long-meeting> | office hours<https://fantastical.app/questoph/office-hours>

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Third call, TAL journal, regular issue 64-1
by Emmanuel Morin 02 Dec '22

02 Dec '22

Third Call for submission TAL Journal: regular issue http://tal-64-1.sciencesconf.org/ <http://tal-64-1.sciencesconf.org/> 2023 Volume 64-1 Deadline for submission: 12/15/2022 Editors : Cécile Fabre, Emmanuel Morin, Sophie Rosset and Pascale Sébillot TOPICS The journal Automatic Language Processing has an open call for papers. Submissions may concern theoretical and experimental contributions on all aspects of written, spoken, and signed language processing and computational linguistics, both theoretical and experimental, for example: - Computational models of language - Linguistic resources - Statistical learning and modeling - Intermodality and multimodality - Language multiplicity and diversity - Semantics and comprehension - Information access and text mining - Language production and processing/generation/synthesis - Evaluation - Explicability and reproducibility - NLP in interaction with other disciplines, digital humanities This list is indicative. On all topics, it is essential that the aspects related to natural language processing are emphasized. We also welcome position papers and survey papers. LANGUAGE Manuscripts may be submitted in English or French. Submissions in English are accepted only if one of the co-authors is a non French-speaking person. THE JOURNAL TAL (http://www.atala.org/revuetal_ <http://www.atala.org/revuetal_> - Traitement Automatique des Langues / Natural Language Processing) is an international journal published by ATALA (French Association for Natural Language Processing) since 1960 with the support of CNRS (National Centre for Scientific Research). It has moved to an electronic mode of publication. IMPORTANT DATES Deadline for submission: 12/15/2022 Notification to authors after first review: 02/15/2023 Notification to authors after second review: 04/30/2023 Publication: September, 2023 FORMAT SUBMISSION Papers must be between 20 and 25 pages long, including references and appendices (with no possible derogation on the length). TAL performs double-blind review: it is thus necessary to anonymise the manuscript and the name of the pdf file and to avoid self references. Style sheets are available for download on the Web site of the journal (https://www.atala.org/content/instruction-authors-style-files-0 <https://www.atala.org/content/instruction-authors-style-files-0>). Authors who intend to submit a paper are encouraged to upload your contribution via the menu "Paper submission" (PDF format). To do so, you will need to have an account on the sciencesconf platform. To create an account, go to the site _http://www.sciencesconf.org_ <http://www.sciencesconf.org_/> and click on "create account" next to the "Connect" button at the top of the page. To submit, come back to the page (soon available) http://tal-64-1.sciencesconf.org/ <http://tal-64-1.sciencesconf.org/>, connect to you account and upload your submission.

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Call for papers: Explainable AI in Natural Language Processing
by Somnath Banerjee 01 Dec '22

01 Dec '22

*** Apologies for cross-posting *** Call for papers: Explainable AI in Natural Language Processing Traditional Natural Language Processing (NLP) models (e.g., decision trees, Markov models, etc.) have primarily been based on techniques that are inherently interpretable models, referred to as white-box techniques. However, in recent years, NLP models have employed advanced neural approaches along with language embedding features. Using these advanced approaches, mostly referred to as black-box techniques, the NLP models have yielded state-of-art performance. Nonetheless, the level of interpretability (e.g., how the model arrives at its results) has reduced significantly. This obfuscated interpretability not only lowers the end users’ trust in the NLP models but also makes it challenging for the developers to debug or improve by analyzing the models for further improvement. Therefore, nowadays, researchers in the NLP community are giving significant attention to the emerging field called Explainable AI (XAI) to tackle the obfuscated complexity of AI systems for trust and improvement. Apart from academia, organizations and companies also have launched high-funding projects such as DARPA XAI, People +AI Research (PAIR), etc. As XAI is still a growing field, there is plenty of room for innovation to improve the explainability of NLP systems. In recent works, explainable NLP models have captured linguistic knowledge of neural networks, explain predictions, stress-test models via challenge sets or adversarial examples, and interpret language embeddings. The goal of this Research Topic is to better understand the present status of the XAI in NLP by identifying: new dimensions for a better explanation, evaluation techniques used to measure the quality of explanations, approaches or developments of new software toolkits to explain XAI in NLP, and transparent deep learning models for different NLP task. The scope of this Research Topic covers (but is not restricted to) the following topics: • Survey of XAI in NLP in general or any particular NLP task such as NER, QA, Sentiment analysis, social media (SocialNLP), etc. • Explainable Neural models in Machine Translation • Explainable Neural models in Named Entity Recognition • Explainable Neural models in Question Answering • Explainable Neural models in Sentiment Analysis • Explainable Neural models in Opinion Mining • Explainable Neural models in SocialNLP • Evaluation techniques used to measure the quality of explanations • Tools for explaining explainability • Resources related to XAI in the context of NLP The Research Topic welcomes contributions toward interpretable models for efficient solutions to NLP research problems that explain the explainability of the proposed model using suitable explainability technique(s) (e.g., example-driven, provenance, feature importance, induction, surrogate models, etc.), visualization technique(s) (e.g., raw examples, saliency, raw declarative, etc.), and other aspects. Software toolkits or approaches that can help users express explainability to their models and ML pipelines are also welcome. The full Call for Papers is available at https://www.frontiersin.org/research-topics/48440/explainable-ai-in-natural… Impact of the publication: https://www.frontiersin.org/about/impact The current deadlines are: * Abstract Deadline:16 December 2022 - A soft deadline, thus whilst not mandatory, if you would like feedback on your prospective manuscript’s suitability, I encourage you to submit an abstract around this time. * Manuscript Deadline: 14 April 2023, This is a mandatory deadline for your full manuscript submission. However, we can accommodate personal extensions on a case-by-case basis. Guest Associate Editors: Somnath Banerjee (University of Tartu, somnath.banerjee(a)ut.ee) David Tomás (University of Alicante, dtomas(a)dlsi.ua.es) Somnath Banerjee Lecturer, Institute of Computer Science, University of Tartu, Narva mnt 18, room 3063 51009 Tartu, ESTONIA webpage: http://www.ut.ee//~somnath/

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2024

2023

2022