- Corpora - ELRA lists

1st Call for Papers: CODI, 5th Workshop on Computational Approaches to Discourse
by Chloé Braud 23 Oct '23

23 Oct '23

CODI, 5th Workshop on Computational Approaches to Discourse 2024-03-21 or 22 - EACL 2024 - Malta ** Submission deadline: December 20th, 2023 - No deadline extension ** Website link: https://sites.google.com/view/codi2024 Aims and scope The last ten years have seen a dramatic improvement in the ability of NLP systems to understand and produce words and sentences. This development has created a renewed interest in discourse phenomena as researchers move towards the processing of long-form text and conversations. There is a surge of activity in discourse parsing, coherence models, text summarization, corpora for discourse level reading comprehension, and discourse related/aided representation learning, to name a few, but the problems in computational approaches to discourse are still substantial. At this juncture, we have organized four Workshops on Computational Approaches to Discourse (CODI) at EMNLP 2020, EMNLP 2021, COLING 2022 and ACL 2023 to bring together discourse experts and upcoming researchers. These workshops have catalyzed work to advance research on discourse level problems and have served as a forum for the discussion of suitable datasets and reliable evaluation methods. The previous workshops on discourse in machine translation (DiscoMT), linking lexical, sentential and discourse semantics (LSDSem), discourse structure in natural language generation (DSNNLG), discourse relation parsing and treebanking (DISRPT) and coreference (CORBON/CRAC), have shown that there is considerable interest and success in bringing together the community working on specific problems in discourse. We believe that the discourse community will also benefit from a general forum where work ranging from corpus development/analysis to computational models, and evaluation is discussed, and desiderata can be drawn for future progress. The 5th CODI workshop is planned as a 1 day event which brings together different subcommunities. It will feature invited talks and regular papers. We also accept papers accepted at other major conferences for non-archival presentation, including Findings papers. Topics of interest We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. Topics of interest include, but are not limited to: - discourse structure - discourse connectives - discourse relations - annotation tools and schemes for discourse phenomena - corpora annotated with discourse phenomena - discourse parsing - cross-lingual discourse processing - cross-domain discourse processing - anaphora and coreference resolution - event coreference - argument mining - coherence modeling - discourse and semantics - discourse in applications such as machine translation, summarization, etc. - evaluation methodology for discourse processing Submissions We solicit three categories of papers: regular (long and short) workshop papers, demos and extended abstracts. Only regular workshop papers and demos will be included in the proceedings as archival publications. Double submission of papers is allowed but will need to be indicated at submission. Regular papers must describe original unpublished research. Long papers may consist of up to 8 pages of content, plus unlimited pages for references. Short papers can be up to 4 pages, plus unlimited pages for references. Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. Each submission can contain unlimited pages for Appendices but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. Extended abstracts can describe work in progress. These may be two pages long (without references). Extended abstracts are non-archival. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. Paper accepted or rejected at one of the main conferences We also invite presentations of paper accepted at another main conference, a specific deadline and submission process will be communicated later on. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. We will also consider for publication papers rejected at one of the main conferences (see the direct submission deadline below), authors will have to submit both the paper and the reviews. The submission process will be communicated later on. Submission website All submissions must be anonymous and follow the EACL 2024 formatting instructions described here: https://aclrollingreview.org/cfp Please submit your workshop papers at https://softconf.com/eacl2024/CODI-2024/ Important dates 2023-12-20: CODI papers due 2024-01-17: Direct submission (papers rejected at a main conference) 2024-01-20: Notification of acceptance 2024-01-30: Camera ready deadline for main conference and CODI 2024-03-17 – 2024-03-22: CODI workshop All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Due to the tight schedule, there will be no deadline extension. Invited Speakers - Hannah Rohde, University of Edinburgh - Manfred Stede, Potsdam University Organizers Chloé Braud, CNRS-IRIT Christian Hardmeier, IT University of Copenhagen Chuyuan (Lisa) Li, University of British Columbia Jessy Li, University of Texas, Austin Sharid Loáiciga, University of Gothenburg Michael Strube, Heidelberg Institute for Theoretical Studies Amir Zeldes, Georgetown University To contact the organizers, please send an email to: codi-workshop(a)googlegroups.com

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Data-driven history of philosophy and of philosophical ideas - Expression of Interest
by Maria Parisi 23 Oct '23

23 Oct '23

Dear List Members, Arianna Betti’s group (Concepts in Motion<https://conceptsinmotion.org/>) in data-driven history of philosophy and philosophical ideas from any period and place is inviting expressions of interest from all colleagues and students curious about new data-driven and computational approaches to philosophical texts. We invite expression of interest in internships, individual modules and possible collaboration. We are based at the department of Philosophy at the University of Amsterdam and at the Institute for Logic, Language and Computation (ILLC), but we also work in a hybrid and online research environment. On the occasion of the imminent launch of the new data-driven project in British Empiricism funded by the Dutch Research Council (NWO), Counting the Bees, we are also launching the <https://conceptsinmotion.org/whats-on/axiom-whats-on/data-driven-history-of…> Data-Driven History of Ideas (DaDriH) Seminar Series<https://conceptsinmotion.org/whats-on/axiom-whats-on/data-driven-history-of…>, a series of online seminars on data formats, tools, and best practices for working with data relevant to the history of philosophy and philosophical ideas. In particular, in this series we will have experts discussing the managing of authority records, identifiers for persons, timelines, and works, as well as infrastructures on which to clean and enrich these data. The first seminar of the series will be held on Friday October 27th at 14.00 CET: Speaker: Chiara Latronico Title: Lessons and recommendations in data practices from the Golden Agents project Chiara Latronico (Nederlands Instituut voor Beeld & Geluid) will highlight her experience in working with bibliographic data in the Golden Agents project. In this seminar, she will discuss with us linked data standards, models, and tools, with special attention to RDF. Bring your questions to the seminar for a live Q&A session. If you would like to join the seminar, please register here<https://uva-live.zoom.us/meeting/register/tZMpc-utqjkpH9SfG1FuiXoH3tqq1th0X…>. With best wishes, Maria Chiara Parisi, on behalf of the Concepts in Motion Team

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Post Doc position: Natural Language Processing
by Dietrich Klakow 23 Oct '23

23 Oct '23

Post Doc position: Natural Language Processing ======================================== (Computer Science, Computational Linguistics or similar) The research group is focusing on getting a deeper understanding of how modern deep learning methods can be applied to natural languages. Our recent achievements include a best paper award at COLING 2022 and a best theme paper award at ACL 2023. We offer a PostDoc position that is topically open and should have a strong focus on applying machine learning techniques to natural language data. The research should on the one hand be connected to ongoing research of PhD students and at the same time pursue a clear new direction. The ideal candidate for the position would have: 1. Solid experience in natural language processing 2. Excellent knowledge of machine learning and deep learning 3. Be involved, knowledgeable and generous in scientific discussions with all group members? 4. Excellent programming skills 5. Doctoral degree in Computer Science, Computational Linguistics or similar Salary: The PostDoc position will be 100% of full time on the German E13 scale (TV-L) which is about 4188€ per month before tax and social security contributions. The appointments will be for two years with a possible extension. About the department: The department of Language Science and Technology is one of the leading departments in the speech and language area in Europe. The flagship project at the moment is the CRC on Information Density and Linguistic Encoding. It also runs a significant number of European and nationally funded projects. In total, it has seven faculty and around 50 postdoctoral researchers and PhD students. The department is part of the Saarland Informatics Campus. With 900 researchers, two Max Planck institutes and the German Research Center for Artificial Intelligence, it is one of the leading locations for Informatics in Germany and Europe. How to apply: Please send us a letter of motivation, a research plan (max one page), your CV, your transcripts, a list of publications, and the names and contact information of at least two references, as a single PDF or a link to a PDF if the file size is more than 5 MB. Please apply latest by November 20th, 2023. Earlier applications are welcome and will be processed as they come in. Contact: Applications and any further inquiries regarding the project should be directed todietrich.klakow at lsv.uni-saarland.de <https://mailman.uib.no/listinfo/corpora>

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[CfP]: Computational Approaches to Language Data Pseudonymization @ EACL 2024
by Elena Volodina 23 Oct '23

23 Oct '23

First Call for papers: CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization @ EACL 2024, March 21 or 22, 2024 Website: https://mormor-karl.github.io/events/CALD-pseudo/ Submission website: https://softconf.com/eacl2024/CALD-pseudo-2024/ Submission Deadline: Monday, 18 December 2023 We invite submissions to the first edition of the CALD-pseudo workshop on Computational Approaches to Language Data Pseudonymization, to be held at EACL 2024 on March 21 or 22, 2024. [Important Dates] * December 18, 2023: paper submission deadline * January 17, 2024: resubmission of already pre-reviewed ARR papers * January 20, 2024: notification of acceptance * January, 30 2024: camera-ready papers due * March 21 or 22, 2024: workshop date (the date to be confirmed by the EACL) [Introduction] Accessibility of research data is critical for advances in many research fields, but textual data often cannot be shared due to the personal and sensitive information which it contains, e.g names, political opinions, sensitive personal information and medical data. General Data Protection Regulation, GDPR (EU Commission, 2016), suggests pseudonymization as a solution to secure open access to research data but we need to learn more about pseudonymization as an approach before adopting it for manipulation of research data (Volodina et al., 2023). The main challenge is how to effectively pseudonymize data so that individuals cannot be identified, while at the same time keeping the data usable for research in, among others, computational linguistics, linguistics and natural language processing, for which it was collected. [Topics of Interest] CALD-pseudo workshop invites a broad community of researchers in all concerned cross-disciplinary fields to jointly discuss challenges within pseudonymization, such as * automatic approaches to detection and labelling of personal information in unstructured language data, including events and other context-dependent cues revealing a person; * developing context-sensitive algorithms for replacement of personal information in unstructured data; * studies into the effects of pseudonymization on unstructured data, e.g. applicability of pseudonymised data for the intended research questions, readability of pseudonymised data or addition of unwelcome biases through pseudonymization; * effectiveness of pseudonymization as a way of protecting writer identity; * reidentification studies; e.g. adversarial learning techniques that attempt to breach the privacy protections of pseudonymized data; * constructing datasets for automatic pseudonymization, including methodological and ethical aspects of those; * approaches to the evaluation of automatic pseudonymization both in concealing the private information and preserving the semantics of the non-personal data; * pseudonymization tools and software: evaluating the available tools and software for pseudonymization in different languages, and their ease of use, scalability, and performance; * and numerous other open questions. [Submission Guidelines] Authors are invited to submit by December 18, 2023 original and unpublished research papers in the following categories: * Full papers (up to 8 pages) for substantial contributions * Short papers (up to 4 pages) for ongoing or preliminary work All submissions must be in PDF format must follow the EACL 2024 guidelines described in the ARR CfP (https://aclrollingreview.org/cfp), be in pdf, and use the official ACL style templates available here: https://github.com/acl-org/acl-style-files Direct submission deadline: December 18, 2023 at https://softconf.com/eacl2024/CALD-pseudo-2024/ Deadline for registration of ARR reviewed papers: January 17, 2023. (Further instructions will follow.) We also invite authors of papers on the topics of the workshop accepted to Findings to reach out to the organizing committee of CALD-pseudo to present them at the workshop. [Invited speakers] We are happy to announce that the workshop will host two invited speakers: * Anders Søgaard, University of Copenhagen, Denmark * Ildikó Pilán, the Norwegian Computing Center, Norway [Workshop Organizers] * Elena Volodina, University of Gothenburg, Sweden * Therese Lindström Tiedemann, University of Helsinki, Finland * Simon Dobnik, University of Gothenburg, Sweden * Xuan-Son Vu, Umeå university, Sweden [Program Committee] A list of program committee members is available on the workshop website. [Contact] For inquiries, please contact mormor.karl(a)svenska.gu.se ACL link to the call: https://www.aclweb.org/portal/content/computational-approaches-language-dat… ___________________ Elena Volodina, PhD, Docent https://spraakbanken.gu.se/en/about/staff/elena Life is like a mirror. Smile at it and it smiles back at you. Peace Pilgrim

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36th International Conference on Advanced Information Systems Engineering (CAiSE 2024): Second Call for Papers
by Announce 22 Oct '23

22 Oct '23

*** Second Call for Papers *** 36th International Conference on Advanced Information Systems Engineering (CAiSE'24) June 3-7, 2024, 5* St. Raphael Resort and Marina, Limassol, Cyprus https://cyprusconferences.org/caise2024/ (*** Submission Deadline: November 24, 2023 AoE ***) The CAiSE’24 organization calls for full papers with a special emphasis on the theme of Information Systems in the Age of Artificial Intelligence. Artificial Intelligence (AI) has emerged as a transformative technology, revolutionizing various industries, and its significance in Information Systems cannot be overstated. AI-powered systems have the potential to streamline operations, enhance decision-making processes, and drive innovation across organizations. From data analysis to automated processes, AI is reshaping the way we leverage information in the digital age. The relevance of AI in IS extends beyond internal operations. AI-powered predictive analytics enables organizations to forecast trends, anticipate customer needs, and optimize resource allocation. This empowers businesses to adapt swiftly to changing market dynamics, gain a competitive edge, and make proactive decisions. AI algorithms can also detect anomalies and patterns that indicate potential security breaches, contributing to robust cybersecurity measures in information systems. However, while acknowledging the benefits, it is essential to consider the ethical implications of AI in information systems. Ensuring data privacy, addressing bias in algorithms, and maintaining transparency are vital aspects that need to be carefully managed and regulated to foster trust and accountability. In addition to offering an exciting scientific program, CAiSE’24 will feature a best paper award, a journal special issue, and a PhD-thesis award: • Best Paper Award‚ prize EUR 1000 (sponsored by Springer) • A small selection of best papers will be invited to submit enhanced versions for consideration in a special issue of Elsevier Information Systems journal dedicated to this conference. • PhD-Thesis Award • Best PhD thesis of a past CAiSE Doctoral Consortium author (co-sponsored by the CAiSE Steering Committee and Springer) Papers should be submitted in PDF format. Submissions must conform to Springer‚ LNCS format and should not exceed 15 pages, including all text, figures, references, and appendices. Submissions not conforming to the LNCS format, exceeding 15 pages, or being obviously out of the scope of the conference, will be rejected without review. See the guidelines here: https://www.springer.com/comp/lncs/authors.html . The results described must be unpublished and must not be under review elsewhere. Three to five keywords characterizing the paper should be listed at the end of the abstract. Each paper will be reviewed by at least two program committee members and, if positively evaluated, by one additional program board member. The selected papers will be discussed among the paper reviewers online and during the program board meeting. As the review process is not blind, please indicate your name and affiliation on your submission. Accepted papers will be presented at CAiSE’24 and published in the Springer Lecture Notes in Computer Science (LNCS) conference proceedings. We invite three types of original and scientific papers. The type of submission must be indicated in the submission system. Each contribution should explicitly address the engineering or the operation of information systems, clearly identify the information systems problem addressed, the expected impact of the contribution to information system engineering or operation, and the research method used. We strongly advise authors to clearly emphasize these aspects in their paper, including the abstract. Technical papers describe original solutions (theoretical, methodological or conceptual) in the field of IS Engineering. A technical paper should clearly describe the situation or problem tackled, the relevant state of the art, the position or solution suggested and its potential‚ as well as demonstrate the benefits of the contribution through a rigorous evaluation. Empirical papers evaluate existing problem situations including problems encountered in practice, or validate proposed solutions with scientific means, i.e., by empirical studies, experiments, case studies, experience reports, simulations, etc. Scientific reflection on problems and practices in industry also falls into this category. The topic of the evaluation presented in the paper as well as its causal or logical properties must be clearly stated. The research method must be sound and appropriate. Exploratory papers describe completely new research positions or approaches, in order to face a generic situation arising because of new ICT tools, new kinds of activities, or new IS challenges. They must precisely describe the situation and demonstrate why current methods, tools, ways of reasoning, or meta-models are inadequate. They must also rigorously present their approach and demonstrate its pertinence and correctness in addressing the identified situation. The topics of contribution include but are not limited to: • Novel Approaches to IS Engineering ◦ Artificial Intelligence and Machine Learning ◦ Robotic Process Automation (RPA) ◦ Big Data, Data Science and Analytics ◦ Blockchain applications in IS ◦ Simulation and Digital Twins  ◦ IS for collaboration and social computing  ◦ Virtual reality / Augmented Reality ◦ Context-aware, autonomous and adaptive IS • Models, Methods and Techniques in IS Engineering ◦ Ontologies and Ontology Engineering ◦ Conceptual modeling, languages and design ◦ Requirements engineering ◦ Process modeling, analysis and improvement ◦ Process automation, mining and monitoring ◦ Models and methods for evolution and reuse ◦ Domain and method engineering ◦ Product lines, variability and configuration management ◦ Compliance and alignment handling ◦ Active and interactive models ◦ Quality of IS models for analysis and design ◦ Visualization techniques in IS ◦ Decision models and business intelligence ◦ Knowledge graphs ◦ Human-centered techniques • Architectures and Platforms for IS Engineering ◦ Distributed, mobile and open architecture ◦ Big Data architectures ◦ Cloud- and edge-based IS engineering ◦ Service oriented and multi-agent IS engineering ◦ Multi-platform IS engineering ◦ Cyber-physical systems and Internet of Things (IoT) ◦ Workflow and Process Aware Information Systems (PAIS) ◦ Handling of real time data streams ◦ Content management and semantic Web ◦ Crowdsourcing platforms ◦ Conversational agents (chatbots) ◦ Microservices design and deployment • Domain-specific and Multi-aspect IS Engineering ◦ IT governance ◦ eGovernment ◦ Autonomous and smart systems (smart city management, smart vehicles, etc.) ◦ IS for healthcare ◦ Educational Systems and Learning Analytics ◦ Value and supply chain management ◦ Industry 4.0 ◦ Sustainability and social responsibility management ◦ Privacy, security, trust, and safety management ◦ IS in the post-COVID world Submit your paper using the Easy Chair link: https://easychair.org/conferences/?conf=caise2024 . IMPORTANT DATES • Abstract Submission: 24th November 2023 (AoE) • Paper Submission: 1st December 2023 (AoE) • Notification of Acceptance: 23rd February 2024 • Camera-ready Papers: 5th April 2024 • Author registration: 5th April 2024 ORGANISATION General Chairs • Haris Mouratidis, University of Essex, UK • Pnina Soffer, University of Haifa, Israel Local Organizing and Finance Chair • George A. Papadopoulos, University of Cyprus, Cyprus Program Chairs • Giancarlo Guizzardi, University of Twente, The Netherlands • Flavia Maria Santoro, University of the State of Rio de Janeiro, Brazil Other Committee Members https://cyprusconferences.org/caise2024/committees/

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First Call for Papers (CFP); CASE @ EACL 2024, March 21-22: The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text
by ali hürriyetoglu 21 Oct '23

21 Oct '23

Call for workshop papers and Shared Task participation: the 6th workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text - CASE @ EACL 2024 ************************************************************************************ URL: https://emw.ku.edu.tr/case-2024/ Paper submission deadline: 18 December 2023 Paper acceptance notification: 20 January 2024 Paper camera-ready: 30 January 2024 Workshop dates: 21-22 March 2024 Softconf page of the workshop: https://softconf.com/eacl2024/CASE-2024/ ************************************************************************************ We invite contributions from researchers in computer science, NLP, ML, DL, AI, socio-political sciences, conflict analysis and forecasting, peace studies, as well as computational social science scholars involved in the collection and utilization of socio-political event data. This includes (but is not limited to) the following topics 1) Extracting events and their arguments such as time and location in and beyond a sentence or document, event coreference resolution. 2) Research in NLP technologies in relation to event detection: geocoding, temporal reasoning, argument structure detection, syntactic and semantic analysis of event structures, text classification, for event type detection, learning event-related lexica, event co-reference resolution, fake news analysis, and others with a focus on real or potential event detection applications. 3) New datasets, training data collection, and annotation for event information. 4) Event-event relations, e.g., subevents, main events, spatio-temporal relations, causal relations. 5) Event dataset evaluation in light of reliability and validity metrics. 6) Defining, populating, and facilitating event schemas and ontologies. 7) Automated tools and pipelines for event collection related tasks. 8) Lexical, syntactic, semantic, discursive, and pragmatic aspects of event manifestation. 9) Methodologies for development, evaluation, and analysis of event datasets. 10) Applications of event databases, e.g. early warning, conflict prediction, policymaking. 11) Estimating what is missing in event datasets using internal and external information. 12) Detection of new and emerging SPE types, e.g. creative protests. 13) Release of new event datasets. 14) Bias and fairness of the sources and event datasets. 15) Ethics, misinformation, privacy, and fairness concerns pertaining to event datasets. 16) Copyright issues on event dataset creation, dissemination, and sharing. 17) Cross-lingual, multilingual and multimodal aspects in event analysis. 18) Resources and approaches related to contentious politics around climate change. **** Shared tasks **** Please check the workshop page for the shared tasks or contact the organizers. The up-to-date list of shared tasks will be announced soon. *** Keynotes *** We will continue our tradition of inviting keynote speakers from both social and computational sciences. The up-to-date list of keynote speakers will be announced soon. *** Submission guidelines *** This call solicits short and long papers reporting original and unpublished research on the topics listed above. The papers should emphasize obtained results rather than intended work and should indicate clearly the state of completion of the reported results. The page limits and content structure announced at ACL ARR page (https://aclrollingreview.org/cfp) should be followed for both short and long papers. Papers should be submitted on the START page of the workshop ( https://softconf.com/eacl2024/CASE-2024/) in PDF format, in compliance with the ACL publication author guidelines for ACL publications https://acl-org.github.io/ACLPUB/formatting.html. The templates can be found on https://github.com/acl-org/acl-style-files. The reviewing process will be double-blind and papers should not include the author’s names and affiliations. Each submission will be reviewed by at least three members of the program committee. The workshop proceedings will be published on ACL Anthology. *** More ... *** Please see the workshop webpage (https://emw.ku.edu.tr/case-2024/) for additional details and updates. Please see previous events for more context on this event series: https://emw.ku.edu.tr/workshops/ Contact: ali.hurriyetoglu(a)gmail.com *** Workshop organizers *** Ali Hürriyetoğlu, KNAW Humanities Cluster, the Netherlands Hristo Tanev, European Commission, Joint Research Centre (EU JRC), Italy Erdem Yörük, Koc University, Turkey Jatin Bedi, Thapar Institute of Engineering and Technology, Patiala, India. Surendrabikram Thapa, Virginia Tech, the USA S. Angel Deborah, SSN College of Engineering, India S. Rajalakshmi, SSN College of Engineering, India Onur Uca, Mersin University, Turkey Mark Lee, School of Computer Science University of Birmingham, United Kingdom Francielle Vargas, University of São Paulo, Brazil Farhana Ferdousi Liza, University of East Anglia, the United Kingdom Shruti Kulkarni, Oak Ridge National Laboratory, United States Vivek Kumar, University of the Bundeswehr Munich, Germany Milena Slavcheva, IICT, Bulgarian Academy of Sciences, Bulgaria

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PhD and postdocs at CSS , University of Tartu, Estonia
by Rajesh Sharma 20 Oct '23

20 Oct '23

Dear All, Computational Social Science group (https://css.cs.ut.ee/), at the University of Tartu, Estonia is looking for PhD and Postdoctoral applicants. So, if you are interested, please write to us and if you know someone who might be interested, please spread the word!! What is the topic about? ==================== We are interested in topics related to misinformation, hate and hope speech, media biasness, AI Ethics, fairness and explainability on online social media. We are also open to other topics if they overlap with the interests of our group. Why join us? ==================== You'll be part of Estonia's esteemed University of Tartu Institute of Computer Science (https://cs.ut.ee/en) which is in the modern Delta Centre ( https://delta.ut.ee/en/), a beacon of technological innovation and research excellence. Scholarship/Salary ==================== For PhD applicants, the gross salary is 2000 Euros per month for four years, and for Postdocs, it will be 2500 Euros gross per month. We will support research related travels and there is no tuition fees for PhD students. Education Qualification: ==================== For PhD applicants, master's degree is required and for postdoc, PhD degree is required. We are open to discuss positions with non-computer science students (who have good programming knowledge). Please drop a mail for any query or to show your interests at contact(a)css.cs.ut.ee or rajesh.sharma(a)ut.ee or roshni.chakraborty(a)ut.ee. Kind Regards Rajesh Sharma Associate Prof, Institute of Computer Science, Head, Computational Social Science group University of Tartu, Estonia Group webpage: https://css.cs.ut.ee/ Personal webpage: https://rajeshsharma.cs.ut.ee/

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Permanent faculty positions at the ILLC, University of Amsterdam
by Ekaterina Shutova 20 Oct '23

20 Oct '23

We have an opening for a permanent faculty position at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam, Netherlands. The position is in the area of neuro-symbolic artificial intelligence, with a particular emphasis on natural language processing or related fields. The position is part of the prestigious MacGillavry Fellowship programme <https://www.uva.nl/en/about-the-uva/organisation/faculties/faculty-of-scien…> for female scientists, and we invite excellent female candidates working in the above area to apply. Closing date: 30 November 2023 For further information and to apply: https://vacatures.uva.nl/UvA/job/MacGillavry-Fellowship%2C-Assistant-Profes… For any questions, please send an email to e.shutova(a)uva.nl

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1st CFP: Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta
by Nina Hosseini-Kivanani 20 Oct '23

20 Oct '23

Towards Ethical and Inclusive Conversational AI: Language Attitudes, Linguistic Diversity, and Language Rights (TEICAI) at EACL 2024 in Malta-March 17-22 2024. Workshop website: https://sites.google.com/view/teicai2024 Submission link: https://softconf.com/eacl2024/TEICAI-2024/ Conversational language technologies (chatbots, voice assistants, and multimodal conversational interfaces) are becoming increasingly complex and common in everyday life. Various language theories (such as speech act theory, politeness theory, conversation analysis, and interaction theory) have started influencing their development. At the same time, the development of these technologies is often driven by technology-related concerns and tends to overlook users’ needs and socio-cultural contexts. This combined with the scarcity of human rights regulation of AI, raises concerns about linguistic discrimination, exclusion, surveillance, and security risks. In addition, training data for conversational AI mostly comes from written rather than interaction-based language data sets and often does not include gestural, social, and emotional aspects that are fundamental to human interaction. In the same vein, Sign Language is rarely facilitated. To promote a positive impact of conversational technology on linguistic diversity and inclusion, it is imperative to strike a balance between technological concerns and socially relevant matters. Our workshop aims to address these issues by using a holistic approach that involves dialogue and collaboration among technologists, linguists, policymakers, and communities involved in the development and commissioning of conversational AI systems. To foster dialogue towards a multidisciplinary approach to the development of conversational AI that can better serve diverse global audiences, we welcome submissions on a range of topics related to language ideologies and language rights, in relation to conversational language technology and AI (e.g. chatbots, voice assistants, multimodal conversational interfaces). Possible topics may include: - Language ideologies in conversational AI - Language rights in conversational AI - Socio-cultural context in conversational AI - Language inclusion in training data for enhancing inclusivity - Incorporating non-verbal communication elements (gestures, emotions) in AI - Sign language and multimodal conversational AI - Audience design in conversational AI (tailoring systems to meet specific audiences’ needs and preferences) - The sense of human agency and identity while interacting with conversational AI - Addressing challenges and opportunities of conversational AI development (case studies, models of effective collaborations) - Linguistic discrimination in conversational AI - Perspectives of communities affected by conversational AI systems: needs, concerns, and expectations We invite authors to submit original, unpublished work (long, short, and position papers). Each submission will be reviewed by 2-3 members of the Programme Committee. Participants should format their submissions using the EACL template, available for LaTeX/Overleaf and all submissions must be in PDF format. All accepted papers (long, short, and position papers) will be included in the workshop proceedings. The submission is through the SoftConf platform, and the platform link will be shared once it's available. The proceedings will be published in the ACL anthology. Important dates: First call for workshop papers: October 20, 2023 Second call for workshop papers: November 15, 2023 Third call for workshop papers: December 11, 2023 Workshop paper due: December 18, 2023 Direct Submission deadline (pre-reviewed ARR & main conference): January 17, 2024 Notification of acceptance: January 20, 2024 Camera-ready papers due: January 30, 2024 Proceedings due: February 7, 2024 Workshop dates: March 21-22, 2024 Organizers: Sviatlana Höhn, LuxAI, Luxembourg Nina Hosseini-Kivanani, Faculty of Science, Technology and Medicine (FSTM), University of Luxembourg, Luxembourg Dimitra Anastasiou, Luxembourg Institute of Science and Technology, Luxembourg Angela Soltan, State University of Moldova, Moldova Bettina Migge, University College Dublin, Ireland Doris Dippold, University of Surrey, UK Ekaterina Kamlovskaya, Translatables For any preliminary questions, you're welcome to reach out to teicai2024(a)gmail.com .

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2nd Call for Abstracts: Sustainable archiving, exploitation, distribution of social media data - After Twitter
by Tatjana Scheffler 20 Oct '23

20 Oct '23

SECOND CALL FOR ABSTRACTS "SUSTAINABLE ARCHIVING, EXPLOITATION, AND DISTRIBUTION OF DYNAMIC DATA FROM SOCIAL MEDIA - TWITTER AND BEYOND" Conference from 19 - 20 March 2024 at the German National Library (Frankfurt am Main) Website: https://www.dnb.de/EN/twittertagung Social media is both a source of data for and the focus of a range of research approaches in the humanities, social sciences, IT, sciences and life sciences. The development of social media over time makes it a part of our digital cultural heritage, but the process for institutions to archive and document these in ways which fully reflect its detail and complexity is still only rudimentary. One key reason for this is the unique characteristics of the data in terms of media technology, economics, social factors and aesthetics. This confronts researchers, research institutions and cultural heritage institutions with many different challenges in terms of how to archive, catalogue and provide the data for later use. One example of this is Twitter (now known as “X”). The monetisation of the platform’s internal archive (part of ongoing restructuring of the platform) has had a radical impact on research and archiving. While flexible APIs and access opportunities before early 2023 led to a boom in research activity and the creation of comprehensive collections, access for research and archive has been made increasingly difficult since then. Archiving, cataloguing and providing dynamic data from social media present challenges which affect researchers, research institutions, libraries and archives in equal measure, and the best way to solve these problems is through collaboration and partnership. This requires wide-ranging efforts which would be impossible for a single data community or discipline. The aim of the conference is to facilitate networking between libraries, archives, research institutes and researchers in German-speaking countries who are involved in archiving and long-term use of data and digital objects from social media. Conference presentations should focus on the following topics: • The interaction between research and archiving • Research data problems in Tweet-based research caused by the loss of Twitter as a data provider • The status and maintenance of social media from an archival and cultural-historical perspective, e.g. posts, interactions and platform elements • The consolidation of collections, corpora, and holdings such as metadata • Initiatives to encourage archiving and cataloguing of social media data • Concepts for providing derivative datasets from social media and how these can be used • Ethical questions • Legal issues • The possibility of creating a social media data registry Please submit your abstract (max. 1 page / 500 words) and no more than 1 page of biobibliographic data as a PDF in German or English. Up to 20 minutes are available for each presentation, plus 10 minutes for discussion. Submission to: twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Deadline for submission of abstracts: 31 October 2023 feedback on acceptance of paper: 30 November 2023 Conference The conference will take place from about noon, 19 March 2024 and end in the early evening of 20 March. It will be followed by a data sprint working with a long-term corpus of German Twitter data on 21 & 22 March 2024. More information coming soon. Conference: 19. - 20. March 2024 Data Sprint: 21. - 22. March 2023 Venue: German National Library, Frankfurt am Main Speakers who do not have their own resources for travel may apply for up to €300 to cover travel and accommodation costs. Organisation: Dr. Britta Woldering, Letitia Mölck, German National Library, twarchiv(a)dnb.de <mailto:twarchiv@dnb.de> Programme Committee (in alphabetical order) Stefan Dietze (Heinrich Heine University Düsseldorf) Dimitar Dimitrov (GESIS) Christoph Eggersglüß (Philipps University Marburg, NFDI4Culture) Philippe Genêt (German National Library, Text+) Tatjana Scheffler (Ruhr University Bochum) Claus-Michael Schlesinger (University Library, Humboldt University Berlin) Britta Woldering (German National Library) Cooperation partners: Deutsche Nationalbibliothek BERD@NFDI KonsortSWD NFDI4Culture NFDI4Data Science Text+ --- Jun.-Prof. Dr. Tatjana Scheffler (she/her) GB 5/157 Ruhr-Universität Bochum Fakultät für Philologie, Germanistik Universitätsstraße 150 44801 Bochum Germany Mail: tatjana.scheffler(a)rub.de Web: http://staff.germanistik.rub.de/digitale-forensische-linguistik/ Tel.: +49 234 32-21471

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