- Corpora - ELRA lists

CFP eRisk @ CLEF 2023 - Early risk prediction on the Internet
by Patricia Martín Rodilla 07 Dec '22

07 Dec '22

CFP eRisk @ CLEF 2023 - Early risk prediction on the Internet CALL FOR CONTRIBUTIONS eRisk @ CLEF 2023 Lab on Early risk prediction on the Internet https://erisk.irlab.org/<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ferisk.irl…> Lab description: eRisk explores the evaluation methodology, effectiveness metrics and practical applications (particularly those related to health and safety) of early risk detection on the Internet. Early detection technologies can be employed in different areas, particularly those related to health and safety. For instance, early alerts could be sent when a predator starts interacting with a child for sexual purposes, or when a potential offender starts publishing antisocial threats on a blog, forum or social network. Our main goal is to pioneer a new interdisciplinary research area that would be potentially applicable to a wide variety of situations and to many different personal profiles. Examples include potential paedophiles, stalkers, individuals that could fall into the hands of criminal organisations, people with suicidal inclinations, or people susceptible to depression. eRisk2023 has three experimental tasks: -Task 1: Search for symptoms of depression. -Task 2: Early Detection of Signs of Pathological Gambling. -Task 3: Measuring the severity of the signs of Eating Disorders. More Info at: https://erisk.irlab.org/<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Ferisk.irl…> Register to our lab at: http://clef2023-labs-registration.dei.unipd.it/registrationForm.php<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fclef2023-l…> Lab co-chairs Javier Parapar, Univ. A Coruña, Spain Patricia-Martin Rodilla, Univ. A Coruña, Spain David E. Losada, Univ. Santiago de Compostela, Spain Fabio Crestani, Univ. Lugano, Switzerland Important dates Release of training data T2/T3 and dataset for T1: 30/11/2022 Beginning of test stage T2, Release of data T3: 16/01/2023 (server opens) End of test phase: 14/04/2023 CLEF 2023: Tessaloniki, 18-21 September 2023

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Postdoctoral Fellow – Phenotypes for Substance Use Stigma (University of Washington)
by atchen＠uw.edu 07 Dec '22

07 Dec '22

There is an opening for a postdoctoral fellow position in the Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine. Full details and application instructions here: http://faculty.washington.edu/atchen/postdoctoral-fellow-phenotypes-for-sub… Position description: Stigma associated with substance use disorder (SUDs) can have severe negative consequences for physical and mental health, affect employment and housing, result in social alienation, and serve as a barrier to treatment. Stigma can occur at multiple levels and in different contexts. In this project, we seek to better understand how context affects a person’s experience of stigma by studying stories collected through social media and surveys. The long-term goal of this research is to identify leverage points for stigma reduction interventions at multiple levels (e.g., individual, family, community) and in multiple settings (e.g., workplace, school, etc.), and to begin to build the foundations for subsequent interventions by engaging stakeholders and developing community partnerships. We are seeking a postdoctoral fellow to apply natural language processing and machine learning methods to the analysis of narrative data from two sources, social media and stories of stigma-related experiences and strategies for overcoming these challenges, collected using the survey method. The postdoctoral fellow would play a key role in study design, data collection, and data analysis in a multidisciplinary team of different backgrounds, including but not limited to informatics, nursing, social work, and psychology. Responsibilities: -data collection -data management -data analysis (using natural language processing, machine learning, and qualitative data analysis methods, potentially involving annotation of data) -authoring of papers, proposals, and other research output -results dissemination Qualifications: -PhD or equivalent degree in a relevant discipline (e.g., computational linguistics, informatics, computer science, etc.) -Strong publication record -Must work well in interdisciplinary and collaborative research environments -Expertise in natural language processing, machine learning, and data science methodologies -Interest in qualitative data analysis -Familiarity with a variety of software packages including version control, statistical software, etc. Application requirements: -Curriculum vitae -Cover letter that describes the relevant experience, skillset, and motivations you have for the position -Statement of research interests: a statement of up to three pages that explains your research interests -Representative papers (1-3) -Names and affiliations of three recommenders ==== Annie T. Chen, PhD Associate Professor Department of Biomedical Informatics and Medical Education University of Washington School of Medicine atchen(a)uw.edu

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3 Open Positions PostDoc and PhD on Knowledge Graphs and Deep Learning at FIZ Karlsruhe
by Sack, Harald 06 Dec '22

06 Dec '22

3 Open Positions PostDoc and PhD at FIZ Karlsruhe [1] - Leibniz Institute for Information Infrastructure in the Information Service Engineering research group (FIZ ISE) [2] in Knowledge Graphs, Ontologies, and Deep Learning --------------------------------------------------------------------- Position 1: PostDoc on Knowledge Graphs, Deep Learning, Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… reference number 41/2022 Description of the Position: This position is part of the Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE). FIZ ISE investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. Job Description: - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses as well as co-supervision of FIZ ISE PhD students is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed PhD degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community-initiatives, for example in the context - of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in several of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Machine Learning and Deep Learning - Ontology Design and Ontological Engineering - Natural Language Processing Duration: The position is limited to two years with optional extension by two more years. The position is available from December 2022. We will consider applications until the position is filled. Deadline for application: Dec 31, 2022 Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-w… --------------------------------------------------------------------- Position 2 & 3: PhD or PostDoc Knowledge Graphs & Ontological Engineering https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… reference number: 43/2022 Description of the position: This position is part of the Platform MaterialDigital project (https://www.materialdigital.de/) on the sustainable digitalization of materials within the FIZ ISE research group [2]. Particular tasks within the project will be the design, implementation, alignment, and maintenance of ontologies for materials science engineering. - We are looking for an ambitious person who aims for a successful scientific career in the context of knowledge graph related technologies contributing to the strategic research and technology goals of FIZ Karlsruhe - The offered position will be in the FIZ ISE research team - We are expecting innovative research on FIZ ISE research topics including active involvement in scientific publications, third party funding proposals, as well as in professional academic activities - Furthermore, supervision of master and bachelor theses (as well as for PostDocs co-supervision of FIZ ISE PhD students) is expected - We offer a productive and continuously evolving research environment and will actively support you in your further scientific qualification - Our goal is to perform internationally leading research which can be applied in high impact use cases Qualifications and Skills: - An excellent completed master degree in Computer Science or a related field - Publications of research results in renowned, peer-reviewed journals and conferences - Proven software engineering skills and the ability to develop mature software components beyond pure research prototypes - Knowledge of materials science is highly beneficial, but not mandatory Additionally for PostDocs: - An excellent completed PhD degree in Computer Science or a related field - Successful supervision of bachelor and master theses - Successful collaborations with other research groups, industry, as well as open-source and community initiatives, for example in the context of publicly funded collaborative research projects - Experience in applying for funding from national, European and international funding agencies - Excellent English skills, written and spoken, German language skills are highly beneficial Expertise in one (or more) of the following fields of research: - Knowledge Graphs and Semantic Web Technologies - Ontology Design and Ontological Engineering - Natural Language Processing - Machine Learning and Deep Learning Duration: The position is limited to two years with optional extension by two more years. The position is available by now. We will consider applications until the position is filled. Deadline for the application: Dec 31, 2022. Website: https://www.fiz-karlsruhe.de/en/stellenanzeigen/postdoc-senior-researcher-o… --------------------------------------------------------------------- [1] FIZ Karlsruhe - Leibniz Institute for Information Infrastructure is one of the leading providers of scientific information and services and a member of the Leibniz Association. Our core tasks are the professional provision of research and patent information to science and industry as well as the development of innovative information infrastructures, e.g., with a focus on research data management, knowledge graphs and digital platforms. To this end, we conduct our own research, cooperate with renowned universities and research societies, and are internationally and interdisciplinarily networked. FIZ Karlsruhe is a limited liability company with a non-profit character and one of the largest non-university institutions of its kind. [2] Information Service Engineering (ISE) Research group at FIZ Karlsruhe (FIZ ISE) investigates models and methods for efficient semantic indexing, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination with symbolic logic are applied. ISE research relies and extends on knowledge representation standards developed for the Semantic Web. ISE research application areas include but are not limited to solutions for knowledge extraction, semantic annotation, semantic and exploratory search, as well as recommender systems and question answering. Besides basic methodological research, domains of applied ISE research are, amongst others, cultural heritage, digital humanities, materials science, and research data management. FIZ Karlsruhe is committed to promoting the careers of women and therefore looks forward to receiving applications by female candidates. FIZ Karlsruhe also positively welcomes applications from suitably qualified disabled people. Information on data protection for applicants can be found at www.fiz-karlsruhe.de/en/stellenanzeigen. For questions, please contact Prof. Dr. Harald Sack (Harald.Sack(at)fiz-karlsruhe.de). Prof. Dr. Harald Sack Vice President Information Service Engineering FIZ Karlsruhe – Leibniz-Institute for Information Infrastructure GmbH and Karlsruhe Institute of Technology (KIT) ------------------------------------------------------------------------------ FIZ Karlsruhe - Leibniz-Institut für Informationsinfrastruktur GmbH. Sitz der Gesellschaft: Eggenstein-Leopoldshafen, Amtsgericht Mannheim HRB 101892. Geschäftsführerin: Sabine Brünger-Weilandt. Vorsitzende des Aufsichtsrats: RD’in Marion Steinberger. FIZ Karlsruhe ist zertifiziert mit dem Siegel "audit berufundfamilie".

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PhD position on fairness of NLP-supported clinical decision-making process in healthcare
by Anastasia Giachanou 06 Dec '22

06 Dec '22

PhD position on fairness of NLP-supported clinical decision-making process in healthcare We are hiring a Ph.D. student who will join the Human Data Science <https://hds.sites.uu.nl/> and NLP <https://nlp.sites.uu.nl/> groups of the Methodology and Statistics department of Utrecht University. Please visit the vacancy at: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-on… *Project description* Text mining and Natural Language Processing (NLP) systems are proving very useful for clinical care and research. Several decisions on patient inclusion/exclusion and coding of key study variables in clinical studies are taken out of the hands of clinicians and put into the care of NLP systems. However, clinical care is not always equitable; for example, women present very different stroke symptoms from men, leading to underdiagnosis and undertreatment of female stroke victims. These inequities are inevitably encoded in the electronic health records (EHR) corpora mined by clinical data scientists. *The aim of this project *is to study the extent to which existing healthcare inequities are propagated by the application of text mining/NLP to EHR records and to develop methods to assess and reduce the impact of the encoded inequities. This project is part of the Gravitation programme Public Values in the Algorithmic Society <https://www.nwo.nl/en/researchprogrammes/gravitation>(ALGOSOC). The Gravitation programme is an initiative by the Dutch government to support excellent research in the Netherlands. The funding is reserved for scientific consortia that have the potential to rank among the world's best in their field. ALGOSOC is a response to the urgent need for an informed societal perspective on automated decision-making. Funded by the ministry for Education, Culture and Science for a period for 10 years, research in the ALGOSOC programme will develop a deep understanding of the systemic changes that automated decision making entails for core public institutions, for society, and for how public values are realized. The research will focus on three sectors: justice, health and media. The programme brings together researchers in law, communication science, computer science, media studies, philosophy, public governance, STS, economy and social sciences from five Dutch universities (Amsterdam, Utrecht, Tilburg, Delft and Rotterdam). Together, the ALGOSOC community will develop solutions for the design of governance frameworks needed to complement technology-driven initiatives in the algorithmic society. *What are you going to do* *Tasks and responsibilities* - Develop, conduct, and publish research on the field of clinical NLP and data science; - Active participation in the research teams of the UU M&S department <https://www.uu.nl/en/organisation/methodology-and-statistics> and especially in the groups of Human Data Science <https://hds.sites.uu.nl/> and NLP <https://nlp.sites.uu.nl/>; - Contribute to the public debate and organise outreach activities of ALGOSOC; - Contribute to the overall program in terms of events, research meetings, activities; - Collaborate with other researchers within the ALGOSOC consortium; - Help co-supervising research projects of students working on related topics. *What do we require* - A Master degree in Data Science, Computer Science, Computational Linguistics, or a related field with interest in medical applications, *or*; - A Master degree in technical medicine or similar and experience in NLP; - A background in machine learning and deep learning is a plus; - Strong programming skills; - An excellent written and spoken command of English, as demonstrated by publications in English-language journals (written and spoken command of other languages, including French, German and/or Dutch is a plus); - The ability, willingness, and commitment to do both autonomous and team work; - Experience with organising workshops, lecture series, and similar events; *Our offer* The vacancy is for 1.0 FTE for 4 years. The appointment is initially for one year, starting in 2023, with a possibility of extension after a positive evaluation. The appointment should lead to the completion of a dissertation within four years. The salary ranges full-time from €2,541 to €3,247 gross per month (salary scale P, in accordance with the CAO Dutch Universities). The salary is supplemented with an annual vacation allowance of 8% and a year-end bonus of 8.3%. *Questions* Do you have any questions or do you require additional information? Please contact: • Dr. Anastasia Giachanou (a.giachanou(a)uu.nl), Assistant Professor *Job application* If you feel the profile fits you, and you are interested in the job, we look forward to receiving your application. You can apply online on the university’s vacancy page: https://www.uu.nl/en/organisation/working-at-utrecht-university/jobs/phd-on… We will accept applications until *16 January 2023* For information on other vacancies of ALGOSOC project, go to https://www.algosocvacancies.org/ <https://www.algosocvacancies.org/> Best regards, Anastasia Giachanou

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CfP: AI_DS_TARE'2023 Leeds Turing online workshop on AI, Data Science and Text Analytics Resources for Education, deadline 9.12.22
by Eric Atwell 06 Dec '22

06 Dec '22

We are excited to announce the AI, Data Science and Text Analytics Resources for Education Turing workshop 2023 at University of Leeds on Tuesday the 10th of January 2023. The workshop will bring together researchers and educators in universities and industry to learn about AI, Data Science and Text Analytics education. It will be an online workshop via Zoom. Participants are invited to give a presentation on a topic related to their field of research for advanced postgraduate-level studies with the aim to collate these resources into an open-access teaching and learning repository. For instance, your presentation can demonstrate how to build a chatbot or how to use BERT models…etc. OR you can overview an existing set of relevant teaching materials that could be shared for online teaching in AI/DS/TA. The deadline for submitting the details of your presentation is Friday the 9th of December 2022. If you are interested, please send Dr Noorhan Abbas (n.h.abbas(a)leeds.ac.uk<mailto:n.h.abbas@leeds.ac.uk>) a word document that lists the following: * Title of your presentation * Author/s * An abstract (100 words) * Affiliations * Duration of the presentation (10 or 15 minutes) There are two £100 prizes for the best two presentations. Kind regards, Nora Dr Noorhan Abbas Research/Teaching Fellow School of Computing University of Leeds

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Research post opening: University of Porto - Centre of Linguistics
by Rui Manuel Sousa Silva 06 Dec '22

06 Dec '22

Dear all, We are pleased to announce that an international call for applications is open for recruiting one Assistant Researcher (PhD holder) in the scientific areas of Informatics Engineering, Computer Science, or related area to work at the Centre of Linguistics of the University of Porto. The Assistant Researcher’s main duties will consist of carrying out research activities, knowledge transfer and outreach, management and communication of science and technology, and collaborating in teaching and training, among others. This call for applications is funded by national funds through the Portuguese Foundation for Science and Technology (FCT). The selected candidate will be hired under an individual uncertain-term contract, in accordance with the Portuguese Labour Code. The application deadline is 27 December. For further information, visit: https://sigarra.up.pt/flup/en/NOTICIAS_GERAL.VER_NOTICIA?p_nr=151005 Kind regards, Rui Sousa Silva Professor Auxiliar | Assistant Professor PhD Coordenador Científico do CLUP-Centro de Linguística da Universidade do Porto | Scientific Coordinator of the Centre for Linguistics of the University of Porto Faculdade de Letras da Universidade do Porto | Faculty of Arts and Humanities of the University of Porto Via Panorâmica, s/n P-4150-564 Porto Portugal w: www.linguisticaforense.pt | Faculdade de Letras da Universidade do Porto - http://www.letras.up.pt Twitter: https://twitter.com/rsousasilva | Linkedin: https://www.linkedin.com/in/rui-sousa-silva-83a38731/ | ResearchGate: https://www.researchgate.net/profile/Rui_Sousa-Silva | ORCiD: https://orcid.org/0000-0002-5249-0617 | Language and Law/Linguagem e Direito: http://ojs.letras.up.pt/index.php/LLLD/index Publicações mais recentes / Latest publications: Fighting the Fake: A Forensic Linguistic Analysis for Fake News Detection The Dawn of the Human-Machine Era | The Routledge Handbook of Forensic Linguistics

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Call for participation: Edge Hill Corpus Research Group, Thursday 15 December
by Costas Gabrielatos 06 Dec '22

06 Dec '22

Edge Hill Corpus Research Group, Thursday 15 December, 2:00-3:30 pm (GMT), online (MS Teams) Doing Corpus Pragmatics in DART 3 Martin Weisser (University of Salzburg) https://martinweisser.org/mw.html Attendance if free. Registration is now open: https://store.edgehill.ac.uk/conferences-and-events/conferences/events/edge… Abstract The Dialogue Annotation and Research Tool (DART) is a freeware tool that makes it possible to annotate large amounts of dialogue data semi-automatically on a number of linguistic levels, as well as post-process and analyse the resulting corpora efficiently using various corpus analysis methods (https://martinweisser.org/ling_soft.html#DART<https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fmartinwei…>). Perhaps arguably, the most interesting and important levels of analysis produced by the tool from the point of view of corpus pragmatics are the syntactic and the speech-act level, but DART annotations also comprise information about the semantics (topics), semantico-pragmatic (modes; Searle's IFIDs), surface polarity, (completion) status, and disfluency of units. In this talk, I want to begin by providing a brief overview of the background, genesis and development of the tool. Next, we'll discuss the different levels of annotation, their potential significance in pragmatics, and how they may work together in determining the pragmatic meaning potential in the form of speech acts. I'll then briefly illustrate how it's possible to adapt the resources used for the annotation process to new domains, as well as the steps involved in the annotation process itself. And last, but not least, we'll explore the different analysis options related to speech acts and other patterns the tool has to offer. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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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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