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PhD position - Deadline April 15th - CASCADE EU Horizon MSCA - Modeling context for the analysis of language variation and change
by Stefania Degaetano-Ortlieb 29 Mar '24

29 Mar '24

New deadline April 15th! Exciting EU Horizon Doctoral Network Opportunity! Network: HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Network on Computational Analysis of Semantic Change Across Different Environments (CASCADE) Job Title: PhD Candidate in Computational Linguistics/Digital Humanities/Computational Humanities/Data Science (AI/NLP) Project Title: Modeling context for the analysis of language variation and change Please share with interested students! Important: see eligibility requirements below!! Full official advert available here: https://www.uni-saarland.de/fileadmin/upload/verwaltung/stellen/Wissenschaft ler/W2439.pdf Workplace Computational Analysis of Semantic Change Across Different Environments (CASCADE) is a HORIZON Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks scheme which will bring together researchers from a variety of backgrounds, including literary studies, historical text analysis, semantics, corpus linguistics, machine learning and natural language processing. The project will emphasise the importance of computational linguistics and humanities scholarship as skills that bring value and competitive edge to organisations concerned with semantically aware information retrieval and text analytics. CASCADE is a partnership between University College Cork, the University of Sheffield, KU Leuven, the University of Helsinki, and Saarland University. Location This position is to be filled at Saarland University, seeking applications for a PhD project entitled Diachronic development of text types in the English Language, which will be one of ten funded projects to emerge out of CASCADE's doctoral network. The successful candidate will be appointed as Marie Curie Early Career Researchers at Saarland University, enrolled in a fully-funded three-year PhD programme. The successful candidate will be supervised by PD Dr. Stefania Degaetano-Ortlieb. The position will be located within the Department of Language Science and Technology. The successful applicant will have the opportunity to collaborate with researchers affiliated with the DFG-funded Collaborative Research Center (CRC) 1102 on Information Density and Linguistic Encoding at Saarland University. CRC 1102 is a thriving research environment with over 30 PhD students and postdocs from many subfields of Linguistics, Computational Linguistics and Psycholinguistics. The Department of Language Science and Technology consists of about 100 research staff in nine research groups in the fields of Computational Linguistics, Psycholinguistics, Speech Processing, and Corpus Linguistics. It is part of Saarland Informatics Campus, which brings together computer science research at the university with world-class research institutions on campus. Project description The project Modeling context for the analysis of language variation and change will use computational approaches to mode linguistic and extra-linguistic context for the analysis of language variation and change. Context has a major impact on how we process language. However, the notion of context is very broad ranging from broadly conceived pragmatic conditions, i.e. the extra-linguistic context (e.g. socio-cultural factors, genres, time), to the relationship among linguistic elements that can substitute for each other in a given context, i.e. the paradigmatic context, up to the local linguistic context of linguistic elements, i.e. the syntagmatic context. While studies on language variation and change do encompass the notion of context, the coverage of contextual factors is often relatively limited. This project will apply and further develop computational modeling techniques to integrate contextual factors among the types of context described above to arrive at more comprehensive accounts of effects of contextual factors on language variation and change. Eligibility: This is important! The vacancy is open to applicants of all nationalities who comply with the mobility requirement and the degree requirement: * applicants must not have resided in the country of the CASCADE university that will host them (university of the main supervisor, Germany in this case) for more than 12 months in the 36 months preceding appointment * applicants must not hold a doctoral degree in any other field or have failed a corresponding doctoral examination at another higher education institution. More information about the Network CASCADE is committed to creating an environment in which all talents can develop to their maximum potential, regardless of gender, age, cultural origin, nationality or disability. We particularly encourage candidates from traditionally underrepresented groups to apply. CASCADE is advertising positions for 10 candidates within its network, who will be housed across the five participating universities. While applications are welcome to apply for more than one project, applications for each position must be submitted separately. In the event an applicant does apply for more than one position and has a particular preference, this should be indicated by email to PD Dr. Stefania Degaetano-Ortlieb. Applicants are encouraged to only apply for projects for which they are ideally qualified and suitable. The recruitment process will be done centrally by the CASCADE selection committee. Job requirements and responsibilities * Participation in the general training programme of the doctoral network (kick-off, monthly online research meetings, annual workshops and schools, and final conference) * Collaboration with a multidisciplinary research group focused on the intersection of Computational Linguistics, Linguistics, and Digital Humanities. * Creation of a computational approach to model contextual factors. * Large-scale analysis of effects of contextual factors on modeling language variation and change. * Participation in joint publications and engagement in academic service. * The successful candidate will be expected to participate in a series of international conferences and workshops, as well as undertake secondments in Germany and abroad. Your academic qualifications * Completed university studies in Digital Humanities, Computational Linguistics, Data Science, AI/NLP, Information Science, or related fields, held by time of appointment * Language skills (according to GER): English - B2 The successful candidate will also be expected to: * Demonstrated experience in applying computational methods to textual data (essential); * Familiarity with eighteenth-century English data sources (desirable) * Capability to bridge the gap between data science and the humanities (essential); * Enthusiasm for inter- and multidisciplinary research and ability to work independently and collaboratively * (essential); * Strong research, analytical, and organizational skills (essential); * Excellent written and verbal communication skills (essential); * A good command of English is mandatory; * Language skills (according to GER): English B2 What we can offer you: * A flexible work schedule allowing you to balance work and family * Interdisciplinary supervision and structured PhD training * An occupational health management model with numerous attractive options, such as our university sports program * A broad range or further education and professional development programmes (e.g. language courses) Applicants are requested to enclose the following documents in English with their application: 1. A curriculum vitae, including any publications (max. 10 pages); 2. A cover statement outlining the applicant's ambitions for Diachronic development of text types in the English Language and the wider CASCADE network (max. 2 pages); 3. A single-authored writing sample from your previous studies (any length). We look forward to receiving your meaningful online application (in a PDF file) by 15.4.2024 (extension is planned) to s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> . Please include the reference number W2440 in the subject line of the e-mail. If you have any questions, please contact us for assistance. Your contact: PD Dr. Stefania Degaetano-Ortlieb Assistant Professor (Akademische Rätin) Department of Language Science and Technology Saarland University Campus A2.2 66123 Saarbrücken s.degaetano(a)mx.uni-saarland.de <mailto:s.degaetano@mx.uni-saarland.de> www.stefaniadegaetano.com <http://www.stefaniadegaetano.com/>

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CfP: Sixth Workshop on Teaching NLP
by Biester, Laura 29 Mar '24

29 Mar '24

Call For Papers: Sixth Workshop on Teaching NLP at ACL 2024 The Sixth Workshop on Teaching NLP will be co-located with the 2024 Annual Meeting of the Association for Computational Linguistics in Bangkok, Thailand. The workshop will occur on August 15 (hybrid option available). The one-day workshop will combine a program of traditional keynotes, posters, and oral presentations, with discourse through panel discussion, and focus on building a community for sharing resources. Call for Papers The field of Natural Language Processing (NLP) is growing rapidly, with new state-of-the-art methods emerging every year. This rapid growth challenges educators of NLP courses and degree programs to constantly revise their old material and create fresh NLP courses and degree programs, as well as new best practices and educational materials focused on emerging subareas of NLP. To support those facing these challenges, our one-day workshop will bring together the communities of NLP research and education to facilitate active discussion on questions including (but not limited to): * How can we facilitate meaningful conversations about language among Computer Science students? * How do we include user-centered design in core NLP curricula? * How should NLP educators design curricula that equip students with the ability to advance responsible and ethical NLP? * How can we design assignments that require GPU access or the use of paid APIs? * What are best practices that NLP educators from universities, industry groups, and Massive OpenOnline Courses (MOOCs) can use to share tools and resources for NLP education? This timely sixth edition of the Teaching NLP Workshop builds on prior successful offerings to tackle the most pressing issues in how to design NLP courses and bring together instructors from various backgrounds to discuss, create, and refine instructional design and material. Submission Information We welcome two submission types: teaching materials and papers: Teaching Materials (short papers) We invite short paper submissions of 1-2 pages that describe teaching materials such as curricula, course GitHub repositories, Jupyter notebooks, slides, homework, and assignments. These short papers do not need to be anonymised, but will be peer-reviewed and published in workshop proceedings, as well as presented in posters or demos. The corresponding teaching materials, while not being part of proceedings, should be submitted in addition to the short paper. We will create a Teaching NLP repository/wiki where authors may opt-in to make their materials available for the community after the workshop. Papers We invite papers of up to 8 pages discussing pedagogical aspects of NLP, focusing on (but not limited to) any of the following general topics: * Tools and methodologies (e.g., active learning, flipped classroom) * Scaling curricula to fit large class sizes * Adapting existing curricula to incorporate new NLP advancements * Teaching online NLP courses or adjusting courses to become remote * Challenges of designing the first NLP course or related degree program at a college, university, or on a MOOC platform * Teaching heterogenous groups of students (e.g., with respect to prior experience in computer science and linguistics) * Teaching underrepresented students * Bridging the gap between academic training and industry needs * Incorporating ethics, reproducibility, and responsible practices in NLP courses * Teaching multilingual NLP All submissions will be processed through OpenReview<https://openreview.net/group?id=aclweb.org/ACL/2024/Workshop/TeachNLP>. Important Dates * Paper Submission: May 17, 2024 * Notification of Acceptance: June 17, 2024 * Camera-Ready Deadline: July 1, 2024 * Teaching NLP Workshop: August 15, 2024 Website: https://sites.google.com/view/teachingnlpacl2024/ Contact: teachingnlp.yt(a)gmail.com<mailto:teachingnlp.yt@gmail.com> Best, TeachingNLP 2024 Organizers (Sana Al-azzawi, Laura Biester, György Kovács, Ana Marasović, Leena Mathur, Margot Mieskes, Leonie Weissweiler)

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[CIKM 2024] - Call for PhD Symposium papers
by antonela.tommasel＠isistan.unicen.edu.ar 28 Mar '24

28 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-phd-symposium/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== We are excited to invite Ph.D. students in databases (DB), information retrieval (IR), and knowledge management (KM) to submit their research proposals for the PhD Symposium at the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024). The conference will take place at the Boise Centre in Boise, Idaho, USA, from October 21 to 25, 2024. The PhD Symposium is designed to provide a supportive environment where doctoral students can present their ongoing research, receive feedback from experienced researchers, and engage with peers at similar stages of their doctoral journey. This event aims to foster discussions on research questions, methodologies, and preliminary results, contributing to the student’s doctoral research progression. CIKM 2024 is deeply committed to improving the field by making the research community more diverse, equitable, and inclusive. We highly encourage women and students from other underrepresented demographic groups to submit their work. -------------------------- Key Dates -------------------------- * Submission Deadline: 17 June 2024 * Acceptance Notification: 16 July 2024 * Camera-ready Version Due: 8 August 2024 * Doctoral Consortium: 25 October 2024 -------------------------- Symposium Objectives -------------------------- * Feedback and Guidance: Offer a platform for doctoral students to present their research and receive constructive feedback from the CIKM community’s senior researchers. * Community Building: Help participants network with other doctoral students and researchers, facilitating knowledge exchange and potential collaborations. * Insight into Career Paths: Through panel discussions and networking sessions, provide insights into career opportunities post-PhD in academia and industry. * Prospective attendees should have written or be close to completing a thesis proposal (or equivalent). It is desirable that students are not so close to completing their Ph.D. that the event would have little impact on their work. Similarly, students should not be so early in their Ph.D. program that a concrete topic has not been chosen yet. We strongly advise students to discuss this criterion with their advisor(s) or supervisor(s) before submitting. Doctoral students who submit to the Symposium are allowed to have previously published their research. They are encouraged to submit full, short, or demo papers of their work to the CIKM 2024 conference and associated workshops. -------------------------- Topics of Interest -------------------------- We welcome submissions across the broad spectrum of AI, data science, databases, information retrieval, and knowledge management. Research with real-world social impact is particularly encouraged. Topics of interest include, but are not limited to, the following areas: * Data and information acquisition and preprocessing (e.g., data crawling, IoT data, data quality, data privacy, mitigating biases, data wrangling) * Integration and aggregation (e.g., semantic processing, data provenance, data linkage, data fusion, knowledge graphs, data warehousing, privacy and security, modeling, information credibility) * Efficient data processing (e.g., serverless, data-intensive computing, database systems, indexing and compression, architectures, distributed data systems, dataspaces, customized hardware) * Special data processing (e.g., multilingual text, sequential, stream, spatiotemporal, (knowledge) graphs, multimedia, scientific, and social media data) * Analytics and machine learning (e.g., OLAP, data mining, machine learning and AI, scalable analysis algorithms, algorithmic biases, event detection and tracking, understanding, interpretability) * Neural Information and knowledge processing (e.g., graph neural networks, domain adaptation, transfer learning, network architectures, neural ranking, neural recommendation, and neural prediction) * Information access and retrieval (e.g., ad hoc and web search, facets, and entities, question answering and dialogue systems, retrieval models, query processing, personalization, recommender systems) * Users and interfaces for information and data systems (e.g., user behavior analysis, user interface design, perception of biases, personalization, interactive information retrieval, interactive analysis, conversational interfaces) * Evaluation, performance studies, and benchmarks (e.g., online and offline evaluation, best practices, user studies) * Crowdsourcing (e.g., task assignment, worker reliability, optimization, trustworthiness, transparency, best practices) * Understanding multi-modal content (e.g., natural language processing, speech recognition, computer vision, content understanding, knowledge extraction, knowledge graphs, and knowledge representations) * Data presentation (e.g., visualization, summarization, readability, VR, speech input/output) * Applications (e.g., urban systems, biomedical and health informatics, legal informatics, crisis informatics, computational social science, data-enabled discovery, social media) * Fairness, accountability, transparency, and ethics (e.g., sociotechnical nature of information access systems, algorithmic fairness, transparency and explainability, misinformation and disinformation) -------------------------- Submission Guidelines -------------------------- PhD students interested in participating should submit a paper (up to 4 pages, including references) using the ACM camera-ready two-column template. Submissions are single-blind, should be solely authored by the student, and clearly state the Ph.D. supervisor(s) (“supervised by …”). The submitted paper should be discussed with the PhD supervisor(s) before submission. Submissions should cover the following aspects: * Problem: What research problem or question does your work address? * State of the Art: How does your work relate to existing research in CIKM-related fields (e.g., information retrieval, databases, machine learning, data mining)? * Approach: Your novel approach to addressing the problem. * Methodology: The methodology you use or plan to use, including evaluation strategies. * Results: Any preliminary results you have obtained. * Conclusion and Future Work: Your conclusions and future research directions so far. * Additionally, include a one-page appendix detailing: - Topics and questions you wish to discuss with mentors and peers. - A statement from your advisor(s) supporting your participation, describing the current status of your research, and providing an anticipated thesis completion date. -------------------------- Selection Procedure -------------------------- Candidates will be selected based on the potential of their research for future impact and their potential to benefit from participating in the Symposium. Submissions will be reviewed by the PhD Symposium Program Committee, comprising experienced researchers who will provide feedback and suggest future research directions. All accepted PhD Symposium papers (excluding the appendix) will be included in the main proceedings and available through the ACM Digital Library. If accepted, presenting the results at the PhD Symposium is mandatory. -------------------------- Symposium Format -------------------------- The symposium will include presentations by the Ph.D. students, plenary discussions, one-to-one mentorship sessions, and panel discussions focusing on career paths post-PhD. -------------------------- Student Travel Support -------------------------- Students are highly encouraged to apply for student travel support from CIKM. Application details will be available on the CIKM 2024 website. Students must apply for the support to be considered. -------------------------- Chairs Contact Information -------------------------- For more information, contact the PhD Symposium chairs at: CIKM2024-phdsymposium [at] easychair [dot] org Yanfang (Fanny) Ye (University of Notre Dame, US) Jiaxin Mao (Renmin University of China, China)

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[CIKM 2024] - Call for AnalytiCup Competition Proposals
by antonela.tommasel＠isistan.unicen.edu.ar 28 Mar '24

28 Mar '24

* We apologize if you receive multiple copies of this CfP * * For the online version of this Call, visit: https://cikm2024.org/call-for-analyticup-competition-proposals/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== CIKM 2024 AnalytiCup is an open competition including compelling data challenges aimed at members of the industry and academia interested in information and knowledge management. The challenges will be rolled out progressively and last for several weeks. The final solutions will be presented at CIKM 2024 AnalytiCup which is to be held in conjunction with the CIKM conference during October 2024. -------------------------- Key Dates -------------------------- * Proposal due: May 31 2024 * Notification: June 7 2024 * Competition Kickoff: June 24 20224 * Competition Ends: August 30, 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Proposals Submissions -------------------------- We invite proposals from practitioners across industry and academia who are interested in the areas of information retrieval, databases, and knowledge management. The best fit proposal should include a well-motivated goal with a positive social impact, a novel and challenging task, a fair setup with stable evaluation approach, and adequate amount of real-world data for the competition. * A well-motivated goal: A goal of the proposed competition should be solving a challenging real-world problem at the same time impacting the research and other communities positively. A good competition is where the output of the competition should lead to a greater good of everyone, such proposals are encouraged. * A challenging task: The task should be challenging in the sense that there is enough room for improvement from the basic solutions, and novel ideas are required to succeed in the competition. At the same time the task should be manageable in about 2 months’ time. * A fair setup: The organizers should guarantee the availability of the data and the confidentiality of the test set. The evaluation metrics should be both meaningful for the application in-hand and statistically sound for the objective comparison. The baseline should be established to show that non-trivial results can be achieved. * A real-world dataset: A proposal should clearly explain what data will be provided for competition and the source of the data. Also, explain how/why the provided data is sufficient for the competition. A proposal should cover all the important details such as dates, submission and evaluation of results, etc. and describe the competition rules clearly. Please provide following details with your proposal: * Title: The title of your challenge. * Problem Description: Describe the problem clearly in detail. Explain the importance of the problem and its impact. Discuss different scenarios for the problem with its challenges and limitations. Share the simple data samples and explain the data clearly. If the proposed competition includes more than one track, please describe each track clearly and show unique value for each track. * Evaluation: Describe how you plan to evaluate the submission. Select the evaluation method which is fair and statistically robust. * Suggested Participants: Provide a list of suggested participants in the challenge. * Timeline. Dates for expected start of the competition, user registration, team formation, submission, evaluation, and notification. * Awards. Specify the type and form of the awards you want to share with the winners. * Host information: Names, affiliations, email addresses, and short biographies of the organizers. -------------------------- Chairs Contact Information -------------------------- For more information, contact the AnalytiCup Chairs at: CIKM2024-analyticup [at] easychair [dot] org Vachik Dave, Walmart Global Tech Carl Yang, Emory University

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1st CFP: EvalLAC 2024 – AIED 24 workshop
by Shiva Taslimipoor 28 Mar '24

28 Mar '24

***** *1st Workshop on Automated Evaluation of Learning and Assessment Content* AIED 2024 workshop | Recife (Brazil) & Hybrid | 8-12 July 2024 https://sites.google.com/view/eval-lac-2024/ ***** We are happy to announce the first edition of the Workshop on Automated Evaluation of Learning and Assessment Content will be held in Recife (Brazil) & online during the AIED 2024 conference. *About the workshop* The evaluation of learning and assessment content has always been a crucial task in the educational domain, but traditional approaches based on human feedback are not always usable in modern educational settings. Indeed, the advent of machine learning models, in particular Large Language Models (LLMs), enabled to quickly and automatically generate large quantities of texts, making human evaluation unfeasible. Still, these texts are used in the educational domain -- e.g., as questions, hints, or even to score and assess students -- and thus the need for accurate and automated techniques for evaluation becomes pressing. This hybrid workshop aims to attract professionals from both academia and the industry, and to to offer an opportunity to discuss which are the common challenges in evaluating learning and assessment content in education. Topics of interest include but are not limited to: - Question evaluation (e.g., in terms of alignment to learning objectives, factual accuracy, language level, cognitive validity, etc.). - Estimation of question statistics (e.g., difficulty, discrimination, response time, etc.). - Evaluation of distractors in Multiple Choice Questions. - Evaluation of reading passages in reading comprehension questions. - Evaluation of lectures and course material. - Evaluation of learning paths (e.g., in terms of prerequisites and topics taught before a specific exam). - Evaluation of educational recommendation systems (e.g., personalised curricula). - Evaluation of hints and scaffolding questions, as well as their adaptation to different students. - Evaluation of automatically generated feedback provided to students. - Evaluation of techniques for automated scoring. - Evaluation of bias in educational content and LLM outputs. Human-in-the-loop approaches are welcome, provided that there is also an automated component in the evaluation and there is a focus on the scalability of the proposed approach. Papers on generation are also very welcome, as long as there is an extensive focus on the evaluation step. *Important dates* Submission deadline: May 17, 2024 Notification of acceptance: June 4, 2024 Camera ready: June 11, 2024 Workshop: 8 July or 12 July 2024 *Submission guidelines* Authors are invited to submit short papers (5 pages, excluding references) and long papers (10 pages, excluding references), formatted according to the workshop style available on the website. Submissions should contain mostly novel work, but there can be some overlap between the submission and work submitted elsewhere (e.g., summaries, focus on the evaluation phase of a broader work). Each of the submissions will be reviewed by the members of the Program Committee, and the proceedings volume will be submitted for publication to CEUR Workshop Proceedings. *Organisers* Luca Benedetto (1), Andrew Caines (1), George Dueñas (2), Diana Galvan-Sosa (1), Anastassia Loukina (3), Shiva Taslimipoor (1), Torsten Zesch (4) (1) ALTA Institute, Dept. of Computer Science and Technology, University of Cambridge (2) National Pedagogical University, Colombia (3) Grammarly, Inc. (4) FernUniversität in Hagen

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Reminder: Professor of Language Technology at the Department of Swedish, Multilingualism, Language Technology; University of Gothenburg [new deadline]
by Gerlof Bouma 28 Mar '24

28 Mar '24

The Department of Swedish, Multilingualism, Language Technology at the University of Gothenburg is inviting applications for the position of Professor of Language Technology. The new professor's main duties will be to lead and develop research, education, and outreach in the field of language technology at the department, in particular within its Språkbanken Text group. A detailed description of the position and the application requirements can be found in University of Gothenburg's job application portal, at the link below. This detailed description is only available in Swedish, as proficiency in Swedish or another Scandinavian language is required for the position. Applications must be submitted no later than 6 May 2024. https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038… <https://web103.reachmee.com/ext/I005/1035/job?site=6&lang=SE&validator=3038…> -- GERLOF BOUMA Universitetslektor GÖTEBORGS UNIVERSITET Institutionen för svenska, flerspråkighet och språkteknologi Språkbanken Text https://spraakbanken.gu.se/om/personal/gerlof

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2nd CfP - MILLing (Update: Invited Speakers)
by William Noble 28 Mar '24

28 Mar '24

https://gu-clasp.github.io/MILLing Multimodality and Interaction in Language Learning (MILLing) will bring together researchers in linguistics and computational linguistics to discuss learning through linguistic interaction, from the perspectives of both human language acquisition and machine learning. We encourage contributions from the fields of theoretical linguistics, experimental linguistics, pragmatics, computational linguistics, artificial intelligence, and cognitive science. The conference is organised by the Centre for Linguistic Theory and Studies in Probability (CLASP, <https://gu-clasp.github.io/>), University of Gothenburg. The conference will be held between October 14 and 15 in Gothenburg, Sweden. Important dates ---- - Submission deadline: May 31, 2024, anywhere on Earth - Notification of acceptance: Aug 30, 2024, anywhere on Earth - Camera ready: Sep 20, 2024, anywhere on Earth - Conference: Oct 14--15, 2024, University of Gothenburg, Sweden Invited speakers ---- - Catherine Pelachaud <http://chronos.isir.upmc.fr/~pelachaud/>, Director of Research at CNRS in the laboratory LTCI, TELECOM ParisTech - Charles Yang <https://www.ling.upenn.edu/~ycharles/> Professor of Linguistics and Computer Science at the University of Pennsylvania - Napoleon Katsos <https://sites.google.com/site/napoleonkatsos/home> Professor of Experimental Pragmatics at the Section of Theoretical and Applied Linguistics at the University of Cambridge and Fellow at Trinity College, Cambridge Topics of interest ---- We hope to see innovative work that considers language learning from different perspectives, and we hope to cultivate discussion that reaches across traditionally disparate disciplines. Papers are invited on topics in these and closely related areas, including (but not limited to) the following: - Language acquisition: formal, statistical, experimental, and machine learning- based work - Language learning through dialogue in humans and machines - Multi-modality and figurativeness in language learning and dialogue - Linguistic variation, adaptation, and audience design - Low-resource and ecologically plausible language modelling (e.g., BabyLM) - Cognitive architectures for language learning - Information state update in humans and machines - Cognitive aproaches to second language acquisition - Dialogue systems for language learning - Online, reinforcement and curriculum learning in NLP - Atypical development and language learning - Ethical considerations in AI-assisted language learning Submission Requirements ---- MILLing will feature two types of submissions: long papers and short papers. Long papers must describe original research, and they must not exceed 8 pages excluding references (position papers are also accepted and should be formatted in the same way). Short papers present work in progress, or they describe systems and/or projects. They must not exceed 4 pages excluding references. All types of papers will be published in the 2024 ACL Anthology as a CLASP Conference Proceedings. Papers should be electronically submitted via the softconf system at: <https://softconf.com/n/MILLing2024/>. Submissions should be PDF files and use the LaTeX or Word templates provided for ACL submissions (<https://github.com/acl-org/acl-style-files>). Submissions have to be anonymous. Please make sure that you select the right track when submitting your paper. Contact the organisers if you have problems using softconf. Concurrent Submissions ---- Papers that have been or will be submitted to other conferences or publications must indicate this at submission time using a footnote on the title page of the submissions. Authors of papers accepted for presentation at MILLing must notify the program chairs by the camera-ready deadline as to whether the paper will be presented. All accepted papers must be presented at the conference to appear in the proceedings. We will not accept publications or presentation papers that overlap significantly in content or results with papers that will be (or have been) published elsewhere. Camera Ready Versions ---- Camera ready versions should follow the same guidelines with respect to style and page numbers as the initial submission, i.e. there are no additional pages allowed in the final submission. Please submit the camera ready version by Sep 20, 2024. About CLASP ---- MILLing is organised by the Centre for Linguistic Theory and Studies in Probability (CLASP, <https://gu-clasp.github.io/>) at the Department of Philosophy, Linguistics and Theory of Science (FLoV), University of Gothenburg. CLASP focuses its research on the application of probabilistic and information theoretic methods to the analysis of natural language. CLASP is concerned both with understanding the cognitive foundations of language and developing efficient language technology. We work at the interface of computational linguistics/natural language processing, theoretical linguistics, and cognitive science.

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Extended Deadline: Submission of Extended Abstracts - CLARIN Annual Conference 2024
by t.kontino＠uu.nl 28 Mar '24

28 Mar '24

Call for Submission of Extended Abstracts CLARIN Annual Conference 2024 CLARIN ERIC is pleased to announce the CLARIN Annual Conference 2024 and calls for the submission of extended abstracts. CLARIN is the European research infrastructure that makes digital language resources available to scholars, researchers, students and citizen scientists from a wide range of disciplines, coordinates the collection of language resources and tools, and offers advanced tools to explore, exploit, annotate, analyse or combine such datasets, regardless of their location. New in this year's call is the topic of Education and Training with CLARIN tools. Submission deadline: 26 April 2024 (Extended) Location The conference will take place in Barcelona, Spain. The event will be hosted and organised by CLARIN ERIC in collaboration with CLARIAH-ES and the Basque Center for Language Technology (HiTZ). Important Dates 24 January 2024: First call published on CLARIN website, disseminated, and submission system open 12 February 2024: Second call for abstracts disseminated 29 March 2024: Third call for abstracts disseminated 26 April 2024: Submission deadline (Extended) 17 June 2024: Notification of acceptance 2 September 2024: Camera-ready version deadline (that will be extended) 15-17 October 2024: CLARIN Annual Conference Conference Aims The CLARIN Annual Conference is organised for the wider Humanities and Social Sciences (SSH) community in order to exchange experiences and best practices in working with the CLARIN infrastructure and to share plans for future developments. The programme will cover a range of topics, including the design, construction and operation of the CLARIN infrastructure, the data, tools and services that it contains or should contain, its actual use by researchers, teachers or interested parties, its relation to other infrastructures and projects, and the CLARIN Knowledge Infrastructure. Keynote Speakers To be confirmed. Conference Topics We invite submissions describing CLARIN-related work addressing the following aspects: Use of the CLARIN Infrastructure: Use of the CLARIN infrastructure in SSH research and beyond Usability studies and evaluations of CLARIN services Analysis of the CLARIN infrastructure usage and impact studies/use cases Identification and analysis of user audiences and developer communities, including digital humanities, libraries, computer science, information science, cognitive science and human-centred AI Showcases, demonstrations and research projects that are relevant to CLARIN Design and Construction of the CLARIN Infrastructure: Recent tools and resources added to the CLARIN infrastructure Metadata and concept registries, cataloguing and browsing Persistent identifiers and citation mechanisms Access, including single sign-on authentication and authorisation Search functions, including Federated Content Search Web applications, web services and workflows Standards and solutions for interoperability of language resources, tools and services Models for the sustainability of the infrastructure, including curation, migration financing and cooperation Legal and ethical issues in operating the infrastructure. CLARIN Knowledge Infrastructure and Dissemination: User assistance (help desks, user manuals, FAQs) CLARIN portals and outreach to users Videos, screencasts, recorded lectures Knowledge centres. CLARIN vis-à-vis other Infrastructures and Initiatives: SSH research infrastructures, such as DARIAH and CESSDA and the collaboration under the umbrella of the SSH Open Cluster, etc. Generic infrastructural initiatives, such as EOSC, Europeana, Language Data Space, etc. Projects such as ATRIUM, EOSC Focus, ERIC Forum, EOSC Future, FAIRCORE4EOSC, OSCARS, OSTrails National and regional initiatives. Education and Training Using CLARIN language resources and services in teaching and training activities targeting audiences from different sectors (academia, GLAM, industry) and lessons learnt The impact of the DH Course Registry (e.g. development of the DH curricula, student exchange programmes) Guidelines and best practices for using CLARIN in the university curricula Developing new courses reusing existing materials from the CLARIN Learning Hub (e.g. UPSKILLS) FORMAT OF THE PROGRAMME SESSIONS The programme of the conference will include oral presentations and posters, and may also include demos. Due to limits in the time schedule, the number of oral presentations is limited. Authors can select if they prefer a poster presentation. If not, papers are allocated a presentation format based on the suitability of the paper for a session as decided by the programme committee. Authors of accepted submissions will be offered the opportunity to demo their work in addition to their presentation. SUBMISSIONS The language of the conference is English and presentations will be made in English. Proposals for oral, poster or demo presentations must be submitted as extended abstracts (length: 3 to 4 pages A4, including references) in PDF format, in accordance with the template (ZIP-archive, Overleaf template). Authors can choose whether to submit on an anonymous or non-anonymous basis. Extended abstracts should address one or more topics that are relevant to CLARIN’s activities, resources, tools or services. This relevance should be explicitly articulated in the submission, as well as in the presentation at the conference. Contributions addressing desiderata for the CLARIN infrastructure that are currently not in place are also eligible. Authors are not required to be or have been directly involved in national or cross-national CLARIN projects. Extended abstracts must be submitted through the EasyChair submission system and will be reviewed by the Programme Committee. All proposals will be reviewed on the basis of the following criteria: Appropriateness: The contribution must pertain to the CLARIN infrastructure or be relevant for it (e.g. its use, design, construction, operation, exploitation, illustration of possible applications, etc.), and this relevance should be explicitly articulated in the submission. Soundness and correctness: The content must be technically and factually correct and methods must be scientifically sound, according to best practice, and preferably evaluated. Meaningful comparison: The abstract must indicate that the author is aware of alternative approaches, if any, and highlight relevant differences. Substance: Concrete work and experiences will be given preference over ideas and plans. Impact: Contributions with a higher impact on the research community and society more broadly will be given preference over papers with lower impact. Clarity: The abstract should be clearly written and well structured. Timeliness and novelty: The work must convey relevant new knowledge to the audience at this event. ATTENDANCE For each accepted abstract, CLARIN ERIC offers one author free access, free accommodation and meals. Travelling costs are not covered by CLARIN ERIC. Authors are encouraged to reach out to their national consortium, to their home institution or to third party funds to cover travel costs. PROCEEDINGS Accepted submissions will be published in the online conference Book of Extended Abstracts, ISSN: 2773-2177. After the conference, the author(s) of accepted submissions will be invited to submit full papers (10-12 pages) to be reviewed according to the same criteria as the abstracts. Accepted full papers will be published in a digital conference proceedings volume after the conference: Linköping Electronic Conference Proceedings (peer reviewed) ISSN: 1650-3686 (print), 1650-3740 (online) https://ep.liu.se/en/conferences.aspx CONFERENCE PROGRAMME COMMITTEE The Programme Committee for the conference consists of the following members: Vincent Vandeghinste, Instituut voor de Nederlandse Taal (Dutch Language Institute), the Netherlands & KU Leuven, Belgium -- chair Starkaður Barkarson, Árni Magnússon Institute for Icelandic Studies, Iceland Lars Borin, University of Gothenburg, Sweden António Branco, University of Lisbon, Portugal Tomaž Erjavec, Jožef Stefan Institute, Slovenia Cristina Grisot, University of Zurich and at the Swiss National Center for Data & Services for the Humanities DaSCH Eva Hajičová, Charles University Prague, Czech Republic Marianne Hundt, University of Zurich, Switzerland Krister Lindén, University of Helsinki, Finland Monica Monachini, Institute of Computational Linguistics ‘A. Zampolli’, Italy Karlheinz Mörth, Austrian Academy of Sciences, Austria Costanza Navarretta, University of Copenhagen, Denmark Gijsbert Rutten, Leiden University, the Netherlands Maciej Piasecki, Wrocław University of Science and Technology, Poland Stelios Piperidis, ILSP, Athena Research Center, Greece German Rigau, HiTZ, the Basque Center for Language Technology, Spain Kiril Simov, IICT, Bulgarian Academy of Sciences, Bulgaria Inguna Skadiņa, Institute of Mathematics and Computer Science, University of Latvia, Latvia National Coordinator Norway Marko Tadić, University of Zagreb, Croatia Jurgita Vaičenonienė, Vytautas Magnus University, Lithuania Tamás Váradi, Research Institute for Linguistics, Hungarian Academy of Sciences, Hungary Joshua Wilbur, Center of Estonian Language Resources, Estonia Andreas Witt, University of Mannheim, Germany Friedel Wolff, South African Centre for Digital Language Resources, North-West University, South Africa Martin Wynne, University of Oxford, United Kingdom

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Two post-doctoral positions in an ERC-funded project at the University of Helsinki, Finland
by Hiippala, Tuomo J 28 Mar '24

28 Mar '24

Dear all, I'm currently looking to hire two post-doctoral researchers for my upcoming project funded by the European Research Council: https://www.helsinki.fi/en/researchgroups/multimodality/a-foundation-for-em… The project develops novel methods and resources for studying multimodality, or how human communication naturally combines multiple 'modes' of expression. These methods and resources are used to develop empirically founded theories of multimodal communication in the domain of everyday cultural artefacts. The data studied in the project includes, for example, school textbooks, user-generated explanation videos on social media, news broadcasts, instruction manuals and online newspapers. Please find descriptions for both positions below – if you have any questions, please contact me at tuomo.hiippala(a)helsinki.fi. For instructions on how to apply, please see the links to the full job announcements below. Best, Tuomo Hiippala --- POST-DOCTORAL RESEARCHER IN DIGITAL HUMANITIES --- This is a fixed-term position for 36 months, starting in September 2024 or as agreed, based in the Department of Languages at the University of Helsinki, Finland. RESPONSIBILITIES: The post-doctoral researcher is responsible for developing structured, machine-readable representations of multimodality for the page-based and audiovisual media studied in the project. As the descriptions of multimodality are collected using crowdsourcing, the post-doctoral researcher is also expected to participate in designing and implementing crowdsourcing pipelines. QUALIFICATIONS: The appointee must hold a doctoral degree in digital humanities, humanities computing, language technology, computer science or a related field, and have a keen interest in multimodality. Previous experience of developing structured representations for diverse forms of data is essential. Previous experience or interest in volunteer-based or paid crowdsourcing or citizen science is considered an asset. For more information, see the full announcement here: https://jobs.helsinki.fi/job/Helsinki-Post-doctoral-researcher-in-digital-h… --- POST-DOCTORAL RESEARCHER IN MULTIMODAL COMMUNICATION --- This is a fixed-term position for 48 months, starting in September 2024 or as agreed, based in the Department of Languages at the University of Helsinki, Finland. RESPONSIBILITIES: The post-doctoral researcher is responsible for developing large corpora that describe the multimodal structure of the diverse media studied in the project. To scale up the corpus size, the data will be described by crowdsourced non-expert workers. The post-doctoral researcher will lead the development of crowdsourcing tasks that generate descriptions that can be then compiled into systematic corpus annotations. The appointee will also participate in developing new methods for analysing large multimodal corpora. QUALIFICATIONS: The appointee must hold a doctoral degree in linguistics, semiotics, media studies or related field with a specific focus on multimodality. The appointee must have a deep understanding of contemporary theories of multimodality relevant to the domain of the project. Previous experience of designing and implementing annotation schemes for multimodal corpora is essential. Knowledge of programming languages such as Python and mark-up languages such as XML and JSON for managing research data is considered an advantage. For more information, see the full announcement here: https://jobs.helsinki.fi/job/Helsinki-Post-doctoral-researcher-in-multimoda… --- Dr. Tuomo Hiippala | Associate Professor in English Language and Digital Humanities Department of Languages | University of Helsinki, Finland | +358 50 377 33 66 http://www.helsinki.fi/~thiippal/ | https://www.helsinki.fi/multimodality

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[Iber AuTexTification@IberLEF2024] Training set released
by Francisco Manuel Rangel Pardo 28 Mar '24

28 Mar '24

Event Notification Type: Training set released Website: <https://sites.google.com/view/autextification> https://sites.google.com/view/iberautextification TRAINING SET RELEASED! Iber AuTexTification Automated Text Identification on Languages of the Iberian Peninsula Dear All, The Training dataset for the Iber AuTexTification 2024 shared task has been released. It can be found on the shared task website ( https://sites.google.com/view/iberautextification/data <https://sites.google.com/view/iberautextification/data?authuser=0>), in Genaios Github repository (https://github.com/Genaios/IberAuTexTification) and Zenodo (https://zenodo.org/records/10853560). Please, remember that registration is on a per-team basis, meaning only one member from each team needs to sign up. Once registered and requested the training set on one of the previous links, you will receive the download permission and a password to decompress the data within 24 hours. Please, make sure to write your email address correctly, since we will send passwords, as well as future notifications to that address. Please reach out to the organizers <organizers.autextification(a)gmail.com> or join the Slack <https://join.slack.com/t/iberautextification/shared_invite/zt-2c28ezgwy-lHH…> workspace to connect with the other participants and organizers. Best regards on behalf of Iber AuTexTification shared tasks organizers

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2024

2023

2022