June 2024 - Corpora - ELRA lists

[POST DOCTORAL POSITION] Contextual Information Inference for Argument Mining
by Anaïs Ollagnier UNICA 12 Jun '24

12 Jun '24

*Bonjour,* * (english announcement follows) Dans le cadre du projet CIIAM (Contextual Information Inference for Argument Mining) financé par l’Académie d’Excellence Réseaux, Information et Société Numérique, visant à renforcer la robustesse des techniques de fouille d'arguments par la synthétisation d’informations contextuelles relevant des aspects multimodaux de la communication. Nous invitons les doctorant(e)s en fin de thèse et les jeunes docteur(e)s à candidater à un postdoctorat sur "l'Amélioration de la fouille d’argument par la synthétisation d’information contextuelle" (12 mois). -------- Contexte -------- Parvenir à appréhender les structures argumentatives dans les entrées en langage naturel constitue une étape clé pour de nombreuses tâches relevant du domaine du Traitement Automatique des Langues (TAL), telles que le résumé automatique ou l'analyse de débats politiques. Bien que des progrès significatifs aient été réalisés grâce à l'avènement des modèles de langue pré-entraînés, ils ne saisissent pas toujours l'ensemble des connaissances linguistiques nécessaires pour une compréhension contextuelle fine et l'établissement d'inférences pertinentes. Face à ces limitations, notre projet vise à explorer l'inclusion de la dimension d'analyse linguistique liée à la pragmatique. Cette approche se veut particulièrement novatrice, car la pragmatique, en raison de sa complexité à être formalisée, est très peu étudiée d'un point de vue computationnel. C’est à travers l'utilisation des dernières techniques de pointe en matière de "prompting" que nous souhaitons pallier les écueils des méthodes existantes, tels que la variabilité culturelle et l’implicite. --------------- Pour candidater --------------- Sujet détaillé : https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Début du contrat : Octobre 2024, au plus tard Durée du contrat : 12 mois Les candidatures comprenant un CV scientifique, une lettre de motivation et des lettres de recommandation doivent être envoyées à Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Date limite : 14 Juin 2024 Laboratoire d'accueil : I3S, Sophia-Antipolis, France Au plaisir de vous lire. ------------------------------------------------------------------------------------------------ In the context of the CIIAM project (Contextual Information Inference for Argument Mining), funded through the France 2030 investment plan managed by the National Research Agency (ANR), as part of the Initiative of Excellence Université Côte d’Azur, aiming to enhance the robustness of argument mining techniques through the synthesis of contextual information relevant to multimodal aspects of communication. We invite doctoral candidates nearing completion of their thesis and young PhD graduates to apply for a postdoctoral position on "Improving Argument Mining through the Synthesis of Contextual Information" (12 months). -------- Context -------- Understanding argumentative structures in natural language inputs is a key step for many tasks in the field of Natural Language Processing (NLP), such as automatic summarization or analysis of political debates. Although significant progress has been made with the advent of pre-trained language models, they do not always grasp all the linguistic knowledge necessary for fine contextual understanding and the establishment of relevant inferences. Faced with these limitations, our project aims to explore the inclusion of linguistic analysis dimension related to pragmatics. This approach is particularly innovative because pragmatics, due to its complexity in formalization, has been scarcely studied from a computational perspective. It is through the use of the latest cutting-edge prompting techniques that we aim to overcome the pitfalls of existing methods, such as cultural variability and implicit knowledge. --------------- To Apply --------------- Detailed subject: https://aollagnier.github.io/publications/CIIAM%20PostDoc%20DETAILS.pdf Contract start: October 2024, at the latest Contract duration: 12 months Applications including a scientific CV, a motivation letter, and recommendation letters should be sent to Anaïs Ollagnier (ollagnier(a)i3s.unice.fr) Deadline: June 14, 2024 Hosting laboratory: I3S, Sophia-Antipolis, France * -- Anaïs OLLAGNIER Junior Fellow in AI 3IA Université Côte d'Azur (Polytech Nice) | I3S | INRIA wimmics team -------------------------------------------- Templiers 1, Bureau 414, 930 Route des Colles, BP 145 06903 Sophia Antipolis Cedex, France anais.ollagnier(a)inria.fr |https://aollagnier.github.io/

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Call for participation: CLaDA-BG 2024 Conference Programme
by Kiril Simov 12 Jun '24

12 Jun '24

Dear Colleagues, Language Technologies and Digital Humanities: Resources and Applications (LTаDH-RA) CLaDA-BG 2024 Conference Sofia, Bulgaria 26-28 June 2024 Here you could find the programme of the conference: https://clada-bg.eu/bg/dissemination/events1/clada-bg-2024-programme.html We are looking forward to meeting you in Sofia, at the conference! With best regards, Kiril

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A document level metric for TFIDF for auction entries
by fhmbh＠leeds.ac.uk 11 Jun '24

11 Jun '24

Dear community, I am running a clustering experiment for my project using various metrics to cluster fine art auction catalogue entries. Using domain knowledge, I have extracted certain features from the text to cluster. Alongside these specialist features, I would like to input some form of Tfidf metric that measures the semantics and vocabulary used relative to the rest of the vocabulary used in other entries as a corpus of words. The step I have taken so far: Text preprocessing and cleaning Tokenization TFIDF vector processing with scikit From TFIDF scores of individual words calculated a mean TFIDF score across a document (auction entry) My feeling is that this might have some weaknesses (skew impact from longer documents in the corpus / or impact of high TDIDF scores from shorter documents) but could capture some of the rarer choices of vocabulary in a sentence relative to other entries. The idea behind the average TFIDF score is to get a document level capture of how unusual the vocabulary - in a specific document - is is relative to the entire corpus of auction entries. I would be interested to hear if anyone has had experience with such a methodology or even any feedback on it. Does anyone in the group have any experience or thoughts on this as a sentence/document level information capture? Other word and sentence embeddings are clear alternatives but I favour TFIDF as it has the advantage of being specific to the vocabulary used in my domain specialist data set. Best wishes, Mathew

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Open pre-doc or post-doc position in Linguistics and Data Science
by Robert Fuchs 11 Jun '24

11 Jun '24

Dear all We are currently advertising pre-doc or post-doc positions in (1) in Linguistics and Data Science [https://bit.ly/4cctmUn]) (and (2) also in World Englishes or Learner Corpus Research [https://bit.ly/4b0C47b]) You can find the ad for position (1) below, and the one for position (2) is similar except for the difference in thematic focus. The Department of English, American and Celtic Studies (IAAK) invites applications for a fixed-term position for the duration of 3 years as Doctoral Research Assistants (50 %) or Postdoctoral Research Assistants (100 %) in Linguistics and Data Science The successful candidate will work under the supervision of Professor Robert Fuchs (English Linguistics) and will join a vibrant working group focused on research in the fields of data-intensive discourse analysis, varieties of English, and Learner Corpus Research (see www.iaak.uni-bonn.de/bael/ and https://sites.google.com/view/rflinguistics/). Ongoing research projects focus on discourse on social media and print media (e.g. health communication, climate change discourse), Young German Learner English, and syntactic and phonetic variation in World Englishes. In future, we are planning to further strengthen our research at the crossroads of linguistics and data science. We offer flexible working time organization, a supportive research environment and the opportunity for professional growth through skills development in cutting-edge research methods in linguistics and data science. Your tasks: • Preparation of a doctoral degree (PhD) or ‘Habilitation’ • Independent research under the guidance of the working group lead • Support for research and teaching in the working group • Teaching classes of 2 SWS resp. 4 SWS (90/180 minutes) per week at the undergraduate level (e.g. tutorials or seminars in the area of Data Science and Linguistics and in introductory linguistics classes) Your profile: • University degree (Master’s) in English linguistics or a related subject and if applicable doctoral degree • Excellent command of English • Excellent academic writing skills in English • Willingness to learn German or previous knowledge of German • Experience in the area of linguistics and data science • Experience in any of the following areas is desirable: corpus linguistics, Learner Corpus Research, World Englishes, acoustic phonetics and the statistical analysis of language data (esp. with R and/or Python) We offer: • An engaging and inspiring work environment with one of the biggest employers in the areas in an international, interdisciplinary research environment • The opportunity to pursue a doctoral degree (PhD) or ‘Habilitation’ • Participation in the university-wide pension system (VBL) • Access to the extensive university sports programme • Centrally located offices with excellent access to public transport • A salary based on the German 13 TV-L scale The University of Bonn is committed to diversity and equal opportunity. It is certified as a family-friendly university. It aims to increase the proportion of women in areas where women are under-represented and to promote their careers in particular. It therefore strongly encourages women with relevant qualifications to apply. Applications will be handled in accordance with the Landesgleichstellungsgesetz (State Equality Act). Applications from suitable individuals with a certified serious disability and those of equal status are particularly welcome. If you are interested in this position, please send your complete application documents (i.e. a cover letter outlining the applicant's qualifications and interest in the position, a CV, copies of Bachelor's and Master's degree certificates (if applicable), a representative paper demonstrating the applicant's skills in academic writing and English linguistics (e.g. Master's thesis, term paper), and a proposal for the PhD or ‘Habilitation’ project (optional, no more than five pages) as pdf-files by 15 July 2024 by e-mail to ljangosov(a)uni-bonn.de with the application code 3.2/24/29. Questions on the application process should also be directed to this address. For further information on the position and research in the working group, please contact Prof. Dr. Robert Fuchs (rfuchs(a)uni-bonn.de). Best wishes Robert Prof. Dr. Robert Fuchs | Department of English, American and Celtic Studies | University of Bonn | Rabinstr. 8 53113 Bonn, Germany | https://uni-bonn.academia.edu/RFuchs | https://www.iaak.uni-bonn.de/bael/en/people/chair/prof-dr-robert-fuchs | https://sites.google.com/view/rflinguistics/ *Recent publications:* *2024* Fuchs, R. (to appear). *Influencing people around the globe - The linguistic expression of persuasion across varieties of English worldwide* (Preprint <https://www.academia.edu/107491904/Influencing_people_around_the_globe_The_…>). In D. Dayter, & S. Rüdiger (Eds.), /Manipulation, Influence, and Deception: The Changing Landscape of Persuasive Language/. Cambridge: CUP. Lange, C., & Fuchs, R. (to appear). *English in India*. In R. Hickey & K. Burridge (Eds.), /New Cambridge History of the English Language/. Cambridge: CUP. *2023* Meer, P., Fuchs, R., et al. (2023). *Prosodic variation of English in Dominica, Grenada, and Trinidad <https://onlinelibrary.wiley.com/doi/full/10.1111/weng.12615>*. /English World-Wide, 42/(1), 48-72. Preprint <https://www.academia.edu/91454117/Prosodic_variation_of_English_in_Dominica…> Fuchs, R. (Ed). (2023). *Speech Rhythm in Learner and Second Language Varieties of English <https://link.springer.com/book/10.1007/978-981-19-8940-7>*. Singapore: Springer. Fuchs, R. (2023). *A Synthesis of Research on Speech Rhythm in Native, Learner and Second Language Varieties of English <https://link.springer.com/chapter/10.1007/978-981-19-8940-7_1> – Introduction to the Volume*. In R. Fuchs (Ed.), /Speech Rhythm in Learner and Second Language Varieties of English/ (pp. 1-14). Singapore: Springer. Fuchs, R. (2023). *Rhythm Metrics and the Perception of Rhythmicity in Varieties of English as a Second Language <https://link.springer.com/chapter/10.1007/978-981-19-8940-7_8>*. In R. Fuchs (Ed.), /Speech Rhythm in Learner and Second Language Varieties of English/ (pp. 187-210). Singapore: Springer. Fuchs, R. (2023). *Colonial lag or feature retention in postcolonial varieties of English <https://www.taylorfrancis.com/chapters/edit/10.4324/9781003227342-7/colonia…>. The negative scalar conjunction “and that too” in South Asian Englishes and beyond*. In P. Rautionaho, et al. (Eds.), /Social and Regional Variation in World Englishes: Local and Global Perspectives/ (pp. 123-148). London: Routledge. Preprint <https://www.academia.edu/93058351/Colonial_Lag_or_Feature_Retention_in_Post…> Fuchs, R. (2023). *Analysing the speech rhythm of New Englishes <https://benjamins.com/catalog/veaw.g68.07fuc>: A guide to researchers and a case study on Pakistani, Philippine, Nigerian and British English*. In G. Wilson & M. Westphal (Eds.), /New Englishes, New Methods/ (pp. 132-155). Amsterdam: Benjamins. Preprint <https://www.academia.edu/93058425/Analysing_the_speech_rhythm_of_New_Englis…> Fuchs, R. (2023). *Spelling and punctuation*. In A. Borlongan (Ed.), /Philippine English: Development, Structure, and Sociology of English in the Philippines/ (pp. 113-122). London: Routledge. Preprint <https://www.academia.edu/38277237/Spelling_and_punctuation_In_Philippine_En…> Chan, H. L. & Fuchs, R. (2023). *Revisiting the vowels of Hong Kong English - the post-handover generation*. /Proceedings of the 20th ICPhS/. Preprint <https://www.academia.edu/100926741/Revisiting_the_vowels_of_Hong_Kong_Engli…> Payne, E., Maxwell, O., Fuchs, R., & Wang, Y. (2023). *Lexical Stress Perception in Indian Englishes*. /Proceedings of the 20th ICPhS/. Preprint <https://www.academia.edu/100905996/Lexical_Stress_Perception_in_Indian_Engl…>

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Postdoc position in Cambridge (deadline 7/7)
by A. Vlachos 11 Jun '24

11 Jun '24

Dear all, We are looking for a Research Assistant/Associate to work on the project Automated Verification of Textual Claims (AVeriTeC), an ERC project led by Prof. Andreas Vlachos at the University of Cambridge starting in September 2024 or as soon as possible thereafter. The successful candidate will be based in the Natural Language and Information Processing group (http://www.cl.cam.ac.uk/research/nl/) at the Department of Computer Science and Technology. The project will focus on developing approaches enabling the verification of highly complex claims, which require multiple pieces of evidence. Particular focus will be paid to accompanying the verdicts with suitable justifications. Candidates will have completed a Ph.D. (or be close to completing it) in a relevant field such as NLP, Information Retrieval, Artificial Intelligence or Machine Learning and be able to demonstrate a strong track record of independent research and high-quality publications. Essential skills include excellent programming (Python), NLP techniques, Machine Learning, and proven communication skills. Candidates must provide the names and contact details of two referees who are familiar with their work in the relevant field whom we can contact for a reference before the interviews, which are expected to take place in July 2024. Appointment at Research Associate level is dependent on having a PhD. Those who have submitted but not yet received their PhD will be appointed at Research Assistant level, which will be amended to Research Associate once the PhD has been awarded. Apply using this link: https://www.jobs.cam.ac.uk/job/46875/ Thanks, Andreas

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The 22nd International Workshop on Treebanks and Linguistic Theories – FIRST CALL FOR PAPERS
by heike.zinsmeister＠uni-hamburg.de 10 Jun '24

10 Jun '24

[With apologies for cross-posting] We are excited to announce the 22nd International Workshop on Treebanks and Linguistic Theories (TLT 2024), which will bring together developers and users of linguistically annotated natural language corpora. The workshop is endorsed by ACL SIGPARSE and will be hosted by Universität Hamburg in Germany on December 5th-6th, 2024. ----------------------------- VENUE ----------------------------- TLT 2024 will take place at the guest house of Universität Hamburg. In order to support rich discussions and networking, TLT 2024 will primarily be an in-person event; we will, however, accommodate a limited number of live / synchronous remote presentations, prioritizing those with circumstances that prevent travel. Universität Hamburg and its guest house are conveniently located near the Dammtor train station / metro station Stephansplatz which are well-connected with many parts of the city and beyond, providing an easy commute for attendees. Hamburg is a vibrant city known for its rich maritime history as one of the leading cities in the medieval Hanseatic League, as well as its modern cultural diversity, including events at the world-famous Elbphilharmonie Concert Hall. The city is easily accessible by train or plane (Hamburg Airport (HAM); about 1 to 1.5 hours train ride: Bremen Airport (BRE) and Hannover Airport (HAJ)). ----------------------------- SUBMISSION INFORMATION ----------------------------- TLT addresses all aspects of treebank design, development, and use. As ‘treebanks’ we consider any pairing of natural language data (spoken, signed, or written) with annotations of linguistic structure at various levels of analysis, including, e.g., morpho-phonology, syntax, semantics, and discourse. Annotations can take any form (including trees or general graphs), but they should be encoded in a way that enables computational processing. Reflections on the design of linguistic annotations, methodology studies, resource announcements or updates, annotation or conversion tool development, or reports on treebank usage including probing the leakage of treebanks into large language models are but some examples of the types of papers we anticipate for TLT. Papers should describe original work; they should emphasize completed work rather than intended work, and should indicate clearly the state of completion of the reported results. Submissions will be judged on correctness, originality, technical strength, significance and relevance to the conference, and interest to the attendees. We invite paper submissions in two distinct tracks: * regular papers on substantial and original research, including empirical evaluation results, where appropriate; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces. Submissions (in both tracks) may either be archival—in case of unpublished work—or non-archival, based on the wish of the authors. All archival papers accepted for presentation at the workshop will be included in the TLT 2024 proceedings volume, which will be part of the ACL Anthology. Non-archival papers must have been published or accepted for publication at another CL conference. Long papers may consist of up to 8 pages of content (excluding references and appendices). Short papers may consist of up to 4 pages of content (excluding references and appendices). Accepted papers will be given an additional page to address reviewer comments. All submissions should follow the two-column format and the ACL style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for ACL: https://github.com/acl-org/acl-style-files Submissions will be reviewed double-blind, and all full and short papers must be anonymous, i.e. not reveal author(s) on the title page or through self-references. So e.g., “We previously showed (Smith, 2020) …”, should be avoided. Instead, use citations such as “Smith (2020) previously showed …. Papers must be submitted digitally, in PDF, and uploaded through the on-line conference system (link forthcoming). Submissions that violate these requirements will be rejected without review. ----------------------------- IMPORTANT DATES ----------------------------- * Long and short paper submission deadlines: August 15th, 2024 * Reviews Due: September 26th, 2024 * Notification of acceptance: October 6th, 2024 * Final version of papers due: November 6th, 2024 * TLT2024: December 5th-6th, 2024 in Hamburg ----------------------------- TLT2024 WORKSHOP CHAIRS ----------------------------- Daniel Dakota, Indiana University Sandra Kübler, Indiana University Heike Zinsmeister, Universität Hamburg ----------------------------- TLT2024 COMMUNICATION CHAIR ----------------------------- Sarah Jablotschkin, Universität Hamburg Contact: tlt2024.gw(a)uni-hamburg.de Website: https://www.korpuslab.uni-hamburg.de/en/tlt2024.html

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[CIKM-2024] - Final Call for PhD Symposium papers
by antonela.tommasel＠isistan.unicen.edu.ar 10 Jun '24

10 Jun '24

** PhD Symposium deadline June 17th ** ** A week to go ** =============== =============== * 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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2nd CFP: Special Track - Enhancing Online Safety and Wellbeing through AI (WISE 2024)
by Wajdi Zaghouani 10 Jun '24

10 Jun '24

**CFP Special Track: Enhancing Online Safety and Wellbeing through AI ** Are you passionate about leveraging AI for a safer, healthier digital world? Join us for an exciting special track that delves into how Natural Language Processing (NLP) and Large Language Models (LLMs) can transform online safety and user wellbeing. All accepted papers will be published in Springer Lecture Notes in Computer Science (LNCS). Topics Include but not limited to: ---------------- - AI-driven user experience & safety - Detecting & mitigating online harassment - Mental health support via AI - Combating misinformation & fact-checking - Digital literacy & education - Ethical AI deployment - Advanced content moderation - Privacy & data security - Cyberbullying prevention - Empowering vulnerable populations - AI in emergency response - Community building - Regulatory & policy impacts Key Dates: ----------- - Submission Deadline: 30 June, 2024 - Acceptance Notification: 30 August, 2024 - Camera-Ready Submission: 07 September, 2024 For more details and to submit your papers, visit the Special Track Webpage: https://sites.google.com/view/onlinesafetyandwellbeing/home Join us in advancing the dialogue on AI's role in creating a secure and empowering digital space! Organizers: ------------ - Wajdi Zaghouani, Hamad Bin Khalifa University (wzaghouani(a)hbku.edu.qa) - Firoj Alam, QCRI, Hamad Bin Khalifa University (fialam(a)hbku.edu.qa) - Reem Suwaileh, Hamad Bin Khalifa University (rsuwaileh(a)hbku.edu.qa) - Venus Jin, Northwestern University Qatar (venus.jin(a)northwestern.edu) - Raian Ali, Hamad Bin Khalifa University (raali2(a)hbku.edu.qa) - Anis Charfi, Carnegie Mellon University (acharfi(a)andrew.cmu.edu) Submission Guidelines: ------------------------ - Papers should be in PDF format, unpublished, and not under review elsewhere. - Submissions must conform to Springer's LNCS format, not exceeding 15 pages. - Submit via EasyChair: https://easychair.org/conferences/?conf=wise20240 We look forward to your contributions!

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Core metadata schema for interpreting corpora – inviting feedback
by Nannan Liu 10 Jun '24

10 Jun '24

Dear colleagues, Interpreting corpora are a type of language resource that interweaves multilingualism with multimodality, spoken with signed languages, and split-second processing with contextualised interactions. Compiling an interpreting corpus incurs significant efforts: annotating 1 hour of signs can take 320 hours (Wehrmeyer 2019), and transcribing oral features often defies automatic recognition. As the first step towards reusing such valuable datasets, we created the core metadata schema to consistently and informatively describe an interpreting corpus. The schema is based on a review of 114 corpora (see https://unic.dipintra.it/Metadata.aspx), FAIR principles (Wilkinson et al. 2016), international standards (International Organization for Standardization 2015, 2019), similar initiatives (e.g. Paquot et al. 2023), and ontologies of the interpreting community (e.g. Pöchhacker 2022). It is available at https://tinyurl.com/intpmetadata, and example implementations using four community, conference and sign language interpreting corpora can be found at https://tinyurl.com/intpmetadata-example. We’d like to encourage more colleagues to provide feedback on the schema by the end of July. The response at the CIUTI conference two weeks ago was heartening, and we invite you to co-create a metadata standard that fits the past, current and future needs of the interpreting community. Thank you for your cooperation. With best wishes, Nannan Liu and Mariachiara Russo References International Organization for Standardization (2015). ISO 24622-1 Language resource management –– Component Metadata Infrastructure (CMDI) –– Part 1: The Component Metadata Model. International Standardization Organization. International Organization for Standardization (2019). ISO 24622-2:2019 Language resource management –– Component Metadata Infrastructure (CMDI) –– Part 2: Component metadata specification language. International Standardization Organization. Paquot, M., König, A., Stemle, E. & Frey, J.-C. (2023, January 27). Core metadata schema for learner corpora. Open Data @ UCLouvain, https://tinyurl.com/L2metadataV2. Pöchhacker, F. (2022). Introducing interpreting studies (3rd ed.). London and New York: Routledge. Wehrmeyer, E. (2019). A corpus for signed language interpreting research. Interpreting 21 (1), 62–90. Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., and others (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data 3 (1), 1–9. Dr Nannan Liu Marie Curie Fellow Project FAITH<https://cordis.europa.eu/project/id/101108651> Department of Interpreting and Translation University of Bologna

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9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024)
by Costas Gabrielatos 09 Jun '24

09 Jun '24

9th Symposium on Corpus Approaches to Lexicogrammar (LxGr2024) The symposium will take place online on 5-6 July 2024. Participation is free. The list or presentations is here: https://sites.edgehill.ac.uk/lxgr/lxgr2024 The programme, links to abstracts, and registration details will be announced soon. If you have any questions, or if you want to be added to the LxGr mailing list, contact lxgr(a)edgehill.ac.uk<mailto:lxgr@edgehill.ac.uk>. ________________________________ Edge Hill University<http://ehu.ac.uk/home/emailfooter> Modern University of the Year, The Times and Sunday Times Good University Guide 2022<http://ehu.ac.uk/tef/emailfooter> University of the Year, Educate North 2021/21 ________________________________ This message is private and confidential. If you have received this message in error, please notify the sender and remove it from your system. Any views or opinions presented are solely those of the author and do not necessarily represent those of Edge Hill or associated companies. Edge Hill University may monitor email traffic data and also the content of email for the purposes of security and business communications during staff absence.<http://ehu.ac.uk/itspolicies/emailfooter>

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