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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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Monthly online ILFC Seminar: interactions between formal and computational linguistics
by Timothée Bernard 08 Jun '24

08 Jun '24

*Monthly online ILFC Seminar: interactions between formal and computational linguistics* https://gdr-lift.loria.fr/monthy-online-ilfc-seminar/ The LIFT 2 research group is happy to announce the two forthcoming sessions of the ILFC seminar on the interactions between formal and computational linguistics: - 2024/06/12 17:00-18:00 UTC+2: *Kenny Smith* (University of Edinburgh; 16:00-17:00 UTC+1) Title: *The evolution of linguistic regularities and exceptions* Abstract: *Languages persist through a cycle of learning and use - we learn the language of our community through immersion in that language, then in using that language to meet our communicative goals we generate more linguistic data which others learn from. In previous work we have used computational and experimental methods to show how this cycle of learning and use can explain some of the fundamental structural features shared by all languages - for example, the fact that all languages exploit regular rules for generating meaningful expressions allows languages to be both relatively learnable but also exceptionally powerful tools for communication. In this talk I’ll briefly review this older work on the evolution of regularity, then apply the same approach to understanding exceptions to those regular rules. Within individual languages, exceptions and irregularities tend not to be distributed randomly - idiosyncratic exceptions tend to occur for high-frequency items, with low-frequency items following the general regular rule. And languages spoken in small, isolated communities tend to have more irregularities, exceptions, and complexity in general than languages (like English) spoken in large heterogeneous communities. I’ll describe a recent series of experiments, using artificial language learning and iterated learning methods, showing how this distribution of irregularity within and across languages can be explained as a consequence of the same processes of learning and use that account for linguistic regularity.* - 2024/09/11 17:00-18:00 UTC+2: *Meaghan Fowlie* (Utrecht University) Title: [TBA] Abstract: [TBA] The seminar is held on Zoom. To attend the seminar and get updates, please subscribe to our mailing list (we now only rarely communicate through other mailing lists): https://sympa.inria.fr/sympa/subscribe/seminaire_ilfc

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EMNLP Workshop on the Future of Event Detection: 1st Call for Papers
by Joel Tetreault 08 Jun '24

08 Jun '24

(apologies for cross-posting) First Call for Papers Workshop on the Future of Event Detection Miami, USA November 15 or 16, 2024 (co-located with EMNLP 2024 <https://2024.emnlp.org/>) https://future-of-event-detection.github.io/ Submission Deadline: Thursday, August 15, 2024 11:59PM AoE Workshop Description In recent years, there has been a significant increase in the amount of publicly generated digital data. One prominent category of this data, and arguably the largest in terms of daily generation, pertains to various real-world events, ranging from natural disasters to political occurrences to sports events. Detecting these events serves various crucial purposes, including early warning systems, emergency response, situational awareness, tracking public health trends, and understanding societal shifts, among others. However, automatic real-time event detection presents intriguing challenges, primarily stemming from the characteristics of the data. These challenges include the diversity of public online data (multimodal nature), the rapid pace at which data is produced (velocity), the sheer volume of data generated, and the reliability of the data (veracity). Moreover, the recent advancements in powerful Large Language Models (LLMs) and Generative AI Systems offer new opportunities to revise event detection pipelines, enabling novel approaches and applications across various domains. The workshop focuses on: - Looking forward and looking back: The workshop will solicit ideas on how the field of event detection should evolve over the next twenty years, as well as solicit papers reflecting on what has worked and not worked in the field thus far. - Expanding Beyond NLP: As noted above, there are many sibling areas that actively research event detection. Many of these areas have remained siloed and there is not much cross-communication though they are working on similar problem areas. This workshop seeks to address this by actively soliciting research and invited speakers from these areas. - Theory to Application: Finally, this workshop will emphasize how event detection technology can be used in real-world applications. We will solicit novel papers, including, but not limited to the following topics: - Position and opinion papers on the state and future of event detection - Retrospectives - Multimodal event detection - Large language models (LLMs) and their applications for event detection and related areas - Event detection on non-traditional sources of data - Inferring causal, temporal, coreference, and sub-event relations for events - Multilingual event detection - Event representation - Event ontology - Never-ending learning - Streaming algorithms for event detection - Interpretability of event detection methods - Bias detection and mitigation - Human-AI Interaction for event detection frameworks - Information visualization for events - Anomaly detection - Practical application of event detection for different domains such as emergency response - Usability of event detection systems - Datasets for Event Detection Important Dates All deadlines are 11:59 pm UTC-12 (anywhere on Earth). - Submission Deadline: Thursday, August 15 - Notification of Acceptance: Friday, September 20 - Camera Ready Deadline: Friday, October 4 - Workshop: either November 15 or 16 Submission Information We will be using the EMNLP Submission Guidelines <https://2024.emnlp.org/calls/main_conference_papers/#paper-submission-detai…> for the workshop. Authors are invited to submit a full paper of up to 8 pages of content with unlimited pages for references. We also invite short papers of up to 4 pages of content, including unlimited pages for references. Final camera ready versions of accepted papers will be given an additional page of content to address reviewer comments. Previously published papers cannot be accepted. The submissions will be reviewed by the program committee. As reviewing will be blind, please ensure that papers are anonymous. Self-references that reveal the author's identity, e.g., "We previously showed (Smith, 1991) ...", should be avoided. Instead, use citations such as "Smith previously showed (Smith, 1991) ...". Please note that unlike EMNLP, which uses ARR for submission management, we will be using the START conference system. The link will be made live when available. https://softconf.com/emnlp2024/FuturED/ <https://www.softconf.com/EMNLP2024/FuturED> Organizing Committee - Joel Tetreault <https://scholar.google.com/citations?user=Fn52EXUAAAAJ&hl=en>, Dataminr - Thien Huu Nguyen <https://ix.cs.uoregon.edu/~thien/>, University of Oregon - Hemank Lamba <https://sites.google.com/site/hemanklamba/home>, Dataminr - Amanda Hughes <https://cs.byu.edu/department/directory/faculty-directory/amanda-hughes/>, Brigham Young University Contact Information - Workshop contact email address: futureofeventdetection(a)googlegroup.com - Workshop Twitter: @FuturED2024 <https://x.com/FuturED2024>

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[CIKM-2024] - Final Call for Workshop proposals
by antonela.tommasel＠isistan.unicen.edu.ar 07 Jun '24

07 Jun '24

** Workshop proposal deadline June 14th ** ** 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-workshops/ =============== CIKM 2024: 33rd ACM International Conference on Information and Knowledge Management Boise, Idaho, USA October 21–25, 2024 =============== The ACM Conference on Information and Knowledge Management (CIKM) is the premier international conference on topics at the confluence of information retrieval, databases, and knowledge management. Running annually since 1992, CIKM attracts top talent from industry and academia with the goal of fostering collaboration and bridging the academic-commercial gap in the database, information retrieval, machine learning, and knowledge management communities. We look for prospective submissions of highly interactive full-/half-day workshops proposing novel research, deepening established research topics, or presenting practical applications on the many aspects of the data lifecycle (data acquisition, pre-processing, modelling, integration/aggregation, storage, analysis, and consumption). Interdisciplinary workshops bridging across different communities are also highly encouraged. Workshops will complement the main CIKM conference to be held in-person at Boise, Idaho, USA, from October 21-25, 2024. The workshops are planned to take place on 25 October 2024. -------------------------- Key Dates -------------------------- * Workshop proposal: 14 June 2024 * Workshop proposal acceptance notification: 5 July 2024 * Camera ready: 8 August 2024 (All deadlines are at 11:59 pm AOE) -------------------------- Paper Submissions -------------------------- Please use the CIKM 2024 Workshop Proposal Template for your submission. Submit the proposal here through Easychair (https://easychair.org/my/conference?conf=cikm2024). Workshop proposals are reviewed based on the quality of the proposal, their relation to the main CIKM topics, the likelihood of attracting enough participants, and the hosting capacity of the conference. -------------------------- Requirements for In-Person Activities -------------------------- The CIKM 2024 conference will be held in-person in Boise, Idaho, USA. To enhance the in-person experience, it is required for each workshop to at least plan for a subset of the organizers to be attending the conference and organizing the workshops in-person. -------------------------- Recommended Dates for Paper Submissions to the Workshops -------------------------- * Paper submission deadline: 29 July 2024: * Paper notification (highly desirable): 30 August 2024: * Workshop date: 25 October 2024: Exact workshop paper submission and author notification due dates are at the discretion of workshop organizers. Note that the paper acceptance notification deadline should remain August 30 (or earlier), so authors of accepted papers still have at least a week to take advantage of Early-Bird Registration fees. Workshop papers will not be included in the ACM proceedings. Any decision on if and where proceedings are to be archived is left to the organizers. To help preserve the authors’ ability to submit a revised version of their paper to a conference or journal, joining the volume is suggested to be left at the discretion of the authors. -------------------------- Chairs Contact Information -------------------------- For more information, contact the Workshop Chairs at cikm2024-workshop [at] easychair [dot] org Vanessa Braganholo, Instituto de Computação Universidade Federal Fluminense, Brazil Yangqiu Song,Hong Kong University of Science and Technology, Hong Kong

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