October 2025 - Corpora

October 2025 Newsletter - LDC
by Penn LDC 15 Oct '25

15 Oct '25

In this newsletter: Membership year 2026 publication preview Fall 2025 data scholarship recipients New publications: KAIROS Phase 2 Quizlet<https://catalog.ldc.upenn.edu/LDC2025T15> BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio<https://catalog.ldc.upenn.edu/LDC2025S09> BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Transcripts and Translations<https://catalog.ldc.upenn.edu/LDC2025T14> ________________________________ Membership year 2026 publication preview The 2026 membership year is approaching and plans for next year's publications are in progress. Among the expected releases are: * 2012 NIST Speaker Recognition Evaluation Test Set: 10,000+ hours of English conversational telephone speech following the Mixer collection protocol, used in NIST's 2012 speaker recognition evaluation * KAIROS schema learning corpus background data and Phase 1 evaluation datasets: multimodal English and Spanish source data and annotations for reasoning about complex real-world events * CALL MY NET 2: 800+ hours of Tunisian-Arabic conversational telephone speech from over 400 speakers to support text independent speaker recognition, used in the 2018 NIST Speaker Recognition Evaluation * Multi-language conversational telephone speech: multiple releases, hundreds of hours of speech from speakers of confusable linguistic varieties (Arabic, Chinese, English, French, Slavic, Spanish) to support language identification * CALLHOME Omnibus releases: combined speech and transcript datasets with updated directory structure, file formats and documentation, and lexicons (Chinese, English, German, Japanese, Spanish) * IARPA MATERIAL language packs: conversational telephone speech, transcripts, English translations, annotations, and queries in multiple languages (e.g., Lithuanian, Pashto, Swahili, Tagalog) Check your inbox for more information about membership renewal. Fall 2025 data scholarship recipients Congratulations to the recipients of LDC's Fall 2025 data scholarships: Lasidu Dilshan: University of Moratuwa (Sri Lanka): BSc, Electronic and Telecommunication Engineering. Lasidu is awarded a copy of Asian Elephant Vocalizations LDC2010S05 for his work in elephant voice enhancement and classification. Máté Gedeon: Budapest University of Technology and Economics (Hungary): PhD candidate, Department of Telecommunications and Artificial Intelligence. Máté is awarded a copy of Switchboard-1 Release 2 LDC97S62 for his work in simulated conversation generation. Ping He: Northeastern University (USA): Student, Khoury College of Computer Sciences. Ping is awarded a copy of ETS Corpus of Non-Native Written English LDC2014T06 for their work in native language identification. Thiyazen Iskander: Maulana Azad College of Arts, Science & Commerce (India), affiliated with Babasaheb Ambedkar Technological University (India): PhD candidate, Linguistics, Department of English. Thiyazen is awarded copies of Arabic Morphological Analyzer (SAMA) Version 3.1 LDC2010L01 and Arabic Treebank Part 1 v. 4.1 LDC2010T13 for his work in morphosyntactic analysis of short passives in Standard Arabic. Michael Mooney: University of Glasgow (United Kingdom): PhD candidate, School of Computing Sciences. Michael is awarded copies of Treebank-2 LDC95T7 and BLLIP 1987-89 WSJ Corpus Release LDC2000T43 for their work in eye-tracking for text-centered modeling. Abraham Sanders: Rensselaer Polytechnic Institute (USA): PhD candidate, Cognitive Science. Abraham is awarded a copy of Switchboard-1 Release 2 LDC97S62 for his work in spoken dialogue systems. ________________________________ New publications: KAIROS Phase 2 Quizlet<https://catalog.ldc.upenn.edu/LDC2025T15> was developed by LDC and contains English and Spanish text, video and image data, and annotations used for pre-evaluation research and system development during Phase 2 of the DARPA KAIROS program. KAIROS Quizlets were a series of narrowly defined tasks designed to explore specific evaluation objectives enabling KAIROS system developers to exercise individual system components on a small data set prior to the full program evaluation. This corpus contains the complete set of Quizlet data used in Phase 2 which focused on five real-world complex events within the Disease Outbreak scenario. Source data was collected from the web; 66 root web pages were collected and processed, yielding 65 text data files, 890 image files and 10 video files. Annotation steps included labeling scenario-relevant events and relations for each document to develop a structured representation of temporally ordered events, relations and arguments; generating a reference knowledge graph; and linking labeled entries to a knowledge base derived from a Wikidata-based ontology. The DARPA KAIROS (Knowledge-directed Artificial Intelligence Reasoning Over Schemas) program aimed to build technology capable of understanding and reasoning about complex real-world events in order to provide actionable insights to end users. KAIROS systems utilized formal event representations in the form of schema libraries that specified the steps, preconditions and constraints for an open set of complex events; schemas were then used in combination with event extraction to characterize and make predictions about real-world events in a large multilingual, multimedia corpus. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio<https://catalog.ldc.upenn.edu/LDC2025S09> was developed by LDC and consists of 116 hours of speech from 274 unscripted telephone conversations between native speakers of the Arabic dialect spoken in Egypt. The calls were collected by LDC in the CALLFRIEND and CALLHOME series where participants called family members or close friends and spoke on topics of their choice. Around 33% of the recordings (92 calls) are publicly released for the first time. The remaining 182 recordings were previously published by LDC in various CALLFRIEND, CALLHOME, and HUB5 Arabic datasets. The DARPA BOLT (Broad Operational Language Translation) program developed machine translation and information retrieval for less formal genres, focusing particularly on user-generated content. LDC supported the BOLT program by collecting informal data sources -- discussion forums, conversational telephone speech, text messaging, and chat -- in Chinese, Egyptian Arabic, and English. The material in this release represents the unannotated Egyptian Arabic source conversational telephone speech. The telephone data was transcribed, translated, and annotated for various tasks in the BOLT program including word alignment, treebanking, and co-reference. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Transcripts and Translations<https://catalog.ldc.upenn.edu/LDC2025T14> contains transcripts and corresponding English translations for the conversational telephone speech in BOLT CTS CALLFRIEND CALLHOME Egyptian Arabic Audio<https://catalog.ldc.upenn.edu/LDC2025S09> and was developed by LDC to support the DARPA BOLT program. Transcribers were required to produce a verbatim transcript of all speech within a file using the CODA<https://aclanthology.org/L12-1328/> orthographic approach; diacritics were not included. Some transcripts contain redactions for potential personally identifying information. All speech data was transcribed and is divided into training, development, and evaluation partitions. The goal of the BOLT translation task was to translate the Arabic transcripts into fluent English while preserving the meaning present in the original Arabic text. Transcripts in the development and evaluation partitions received first pass and gold standard translations. 99% of the transcripts were translated into English. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. To unsubscribe from this newsletter, log in to your LDC account<https://catalog.ldc.upenn.edu/login> and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator Linguistic Data Consortium<ldc.upenn.edu> University of Pennsylvania T: +1-215-573-1275 E: ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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CFP: The 2nd Workshop on NLP for Languages Using Arabic Script (AbjadNLP 2026)
by Amal Haddad 15 Oct '25

15 Oct '25

Call for Papers - AbjadNLP 2026 The 2nd Workshop on NLP for Languages Using Arabic Script Rabat, Morocco (in-person) Co-located with EACL 2026 _https://wp.lancs.ac.uk/abjad/_ [1]_ _ AbjadNLP 2026 invites submissions on all aspects of Natural Language Processing (NLP) for Arabic-script languages, including Arabic and its dialects, Perso-Arabic languages, and Ajami traditions across Africa and Asia. Building on the success of AbjadNLP 2025 at COLING, the 2026 edition will be held in Rabat, Morocco, co-located with EACL. The workshop provides a platform for research in Arabic NLP -- covering Modern Standard Arabic, Classical Arabic, and dialectal varieties -- while also supporting work on related languages such as Persian, Urdu, Pashto, Kurdish, Azeri Turkish, Ottoman Turkish, Sindhi, Uyghur, and African Ajami languages (e.g. Hausa, Fula, Wolofal, Swahili, Kanuri, Mandingo, and Tamazight). We welcome contributions on all NLP topics, including morphological analysis, parsing, translation, LLM adaptation, resources and corpora, code-switching, sociolinguistic analysis, and low-resource methods. Submission Deadlines: Direct submissions: 8 January 2026 ARR submissions: 10 January 2026 Notification: 24 January 2026 Camera-ready: 3 February 2026 Workshop: 24-29 March 2026 (TBC) AbjadNLP 2026 follows the EACL 2026 submission and formatting guidelines. Templates are available at https://github.com/acl-org/acl-style-files [2]. General Chair: Dr Mo El-Haj (VinUniversity & Lancaster University) More information: https://wp.lancs.ac.uk/abjad/ [3] -- Amal Haddad Haddad (She/her) Ayudante doctora Facultad de Traducción e Interpretación Universidad de Granada |https://www.ugr.es/personal/amal-haddad-haddad Lexicon Research Group |http://lexicon.ugr.es/haddad Co-Convenor, BAAL SIG 'Humans, Machines, Language'|https://r.jyu.fi/humala Event Coordinator, BAAL SIG 'Language, Learning and Teaching =============== Cláusula de Confidencialidad: "Este mensaje se dirige exclusivamente a su destinatario y puede contener información privilegiada o confidencial. Si no es Ud. el destinatario indicado, queda notificado de que la utilización, divulgación o copia sin autorización está prohibida en virtud de la legislación vigente. Si ha recibido este mensaje por error, se ruega lo comunique inmediatamente por esta misma vía y proceda a su destrucción. This message is intended exclusively for its addressee and may contain information that is CONFIDENTIAL and protected by professional privilege. If you are not the intended recipient you are hereby notified that any dissemination, copy or disclosure of this communication is strictly prohibited by law. If this message has been received in error, please immediately notify us via e-mail and delete it" =============== Links: ------ [1] https://wp.lancs.ac.uk/abjad/ [2] https://urldefense.com/v3/__https:/github.com/acl-org/acl-style-files__;!!D… [3] https://urldefense.com/v3/__https:/wp.lancs.ac.uk/abjad/__;!!D9dNQwwGXtA!Xa…

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Fully Funded PhD position in NLP/AI/Social NLP
by Somnath Banerjee 15 Oct '25

15 Oct '25

Dear all, Please feel free to share this with your contacts. I am seeking motivated students for a fully funded 4-year PhD in Social NLP. Social NLP is an emerging interdisciplinary field that combines natural language processing (NLP) and social computing. The scope of doctoral thesis proposals (but is not restricted to) is based on the following topics: - Information Disorder on Social Media (Fake news, Cyberbullying, Hate Speech, misinformation, etc.) - Disaster Management Using Social Media - Explainable AI in Social NLP Why the University of Tartu<https://ut.ee/en>? - The University of Tartu is one of the oldest universities (founded in 1632) in Northern and Eastern Europe. The University of Tartu is known for its high-quality studies and research. The unique intellectual atmosphere and fine living and working environment that characterise Tartu have attracted prominent scientists and experts for almost 390 years. - As of 2025, the University of Tartu belongs to the top 1% of the world's universities. - The University of Tartu is the strongest research university in Estonia. We belong to various networks of renowned research universities, such as ENLIGHT, the Coimbra Group, LERU, etc. - Here, 13 000 students and 3000 staff members study and work in a diverse range of fields connected by the power of curiosity. - Estonia is famous for its digital society and has the highest number of startups per capita in Europe. Estonia is famous for its digital innovations, and it is home to many startups like Skype, Transferwise, and Bolt to name a few. Scholarship: - Scholarship approximately 2300 Euro/month gross amount. - Covers health insurance - Additional benefits: Travel grant for attending conferences and workshops, etc. If you are interested, please drop me an email (somnath.banerjee(a)ut.ee) with the following: - CV which must include: - final year undergraduate/graduate project (brief description: max 150 words) - pursued relevant subjects at undergraduate and/or Master level (if any) - relevant work experience (if any) - publications (if any) - The name and email contacts of academic referees(optional) Please Note: * Master-level students, who are in their final semester, can also apply. * Applications will be considered until the position is filled. However, you are encouraged to apply early as the processing of the applications will start soon after receiving them. * Do not send academic certificates, motivation letters, letters of recommendation, etc. * Upon initial selection based on CVs, additional documents (such as motivation letters, certificates) will be requested for further processing. For queries: If you need more information, please contact me with the subject line "SocialNLP: PhD position queries". Kind regards, Somnath Banerjee Assistant Professor, Chair of NLP, Institute of Computer Science, University of Tartu, 51009 Tartu, ESTONIA

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CfP SIGHUM (LaTeCH-CLfL) 2026 Workshop at EACL 2026
by Stefania Degaetano-Ortlieb 15 Oct '25

15 Oct '25

SIGHUM (LaTeCH-CLfL) 2026 The 10th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature to be held at EACL in March 2026 in Rabat, Morocco as a two-day workshop with one on-site and one online day First Call for Papers (with apologies for cross-posting) Organizers: Diego Alves, Yuri Bizzoni, Stefania Degaetano-Ortlieb, Anna Kazantseva, Janis Pagel, Stan Szpakowicz SIGHUM (LaTeCH-CLfL) 2026 is the tenth in a series of meetings for NLP researchers who work with data from the broadly understood arts, humanities and social sciences, and for specialists in those disciplines who apply NLP techniques in their work. The workshop continues a long tradition of annual events which also host the SIGHUM business meetings. Workshop site https://sighum.wordpress.com/events/sighum-latech-clfl-2026/ Important dates Submission deadline: January 5th, 2026 Notification of acceptance: February 3rd, 2026 Camera-ready paper due: February 10th, 2026 Description The community of the broadly understood Digital Humanities (DH) has witnessed remarkable growth and transformation, fueled by the rapid advancements in NLP. There is a steady interest in, and a high demand for, NLP methods of semantic and structural annotation, intelligent linking, discovery, querying, cleaning and visualization of primary and secondary data. Even so, the heterogeneous landscape of the DH with their diverse, often multi-lingual or multi-modal sources can be a challenge for NLP. Consider, for example, the growing interest in historical language data and in under-resourced languages. There are unique obstacles in developing comprehensive language models in aid of the linguistic diversity in DH. The handling of noisy and non-standard data, and the need for domain adaptation and intensive annotation, continue to be at the forefront of research effort in the community. The literary studies, which have witnessed substantial progress in the application of NLP methods, bring their own similar problems. Navigating forms of creative expression requires more than the typical information-seeking tools. A case in point might be the study of literature of a certain period, author or sub-genre, the recognition of certain literary devices, or the quantitative analysis of poetry. The emergence of Large Language Models (LLMs) expands the DH toolkit. There is support for automatic text cleaning and annotation, creation of semantic resources, analysis of narrative, genre and literary style, and linking information across sources. LLMs can support historical or low-resource languages, particularly when complemented with domain-specific fine-tuning and careful evaluation. One must note, however, that even with careful adaptation, curation and attention to interpretability, LLM outputs remain prone to errors, biases and lack of transparency; that requires rigorous assessment to ensure their suitability for scholarly research. There is growing emphasis on the importance of explanation in NLP models. That applied equally to DH, whose various domains enjoy the effect of NLP. Transparency and clarity of the results are critical if one is to accept the processed data, and gain valuable insights. That is why one must carefully consider a balance between raw performance scores and interpretability, in keeping with the specific research objectives. For many years now, this broad research context has drawn together NLP experts, data specialists and researchers in Digital Humanities who work in and across their domains. Our long-standing series of workshops has shown that cross-disciplinary exchange supports work in the Humanities, Social Sciences and Cultural Heritage communities. It encourages the Computational Linguistics community to build rich, effective tools and, above all, interpretable models. Topics Our workshops attract original work on a wide variety of topics, including – but as usual not restricted to – these: adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities and literature; automatic error detection and cleaning of textual data; complex annotation schemas, tools and interfaces; creation (fully- or semi-automatic) of semantic resources; creation and analysis of social networks of literary characters; discourse and narrative analysis/modelling, notably in literature; emotion analysis for the humanities and for literature; generation of literary narrative, dialogue or poetry; identification and analysis of literary genres; information/knowledge modelling in the Humanities, Social Sciences and Cultural Heritage; interpretability of large language models output for DH-related tasks (explainable AI); linking and retrieving information from different sources, media, and domains; low-resource and historical language processing; modelling dialogue literary style for generation; profiling and authorship attribution; search for scientific and/or scholarly literature; work with linguistic variation and non-standard or historical use of language Information for authors We invite papers on original, unpublished work in the topic areas of the workshop. We will consider long papers, short papers and system descriptions (demos). We also welcome position papers. Long papers, presenting completed work, may consist of up to eight (8) pages of content plus additional pages of references (just two if possible -:). The final camera-ready versions of accepted long papers will be given one additional page of content (up to 9 pages), so that reviewers’ comments can be taken into account. A short paper / demo presenting work in progress or the description of a system may consist of up to four (4) pages of content plus additional pages of references (one if you can). Upon acceptance, short papers will be given five (5) content pages in the proceedings. A position paper — clearly marked as such — should not exceed eight (8) pages including references. All submissions are to follow the *ACL paper styles (for LaTeX / Overleaf and MS Word) available at https://github.com/acl-org/acl-style-files <https://github.com/acl-org/acl-style-files>. Papers should be submitted electronically, only in PDF, via the LaTeCH-CLfL 2026 submission website on the SoftConf pages (we will publish the link as soon as we have it). Reviewing will be double-blind. Please do not include the authors’ names and affiliations, or any references to Web sites, project names, acknowledgements and so on — anything that immediately reveals the authors’ identity. Please keep references to your own work at a reasonable minimum, and do not use anonymous citations. In accordance with the EACL 2026 policy on multiple submission, we will not consider any paper that is under review in a journal or another conference at the time of submission. During the review period, papers submitted to our workshop cannot also be submitted elsewhere. Stefania Degaetano-Ortlieb Associate Professor Universität des Saarlandes Language Science and Technology Campus A2.2, 1.06 66123 Saarbrücken Tel.: ++49 681 302 70077 E-Mail: s.degaetano(a)mx.uni-saarland.de www.stefaniadegaetano.com

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LREC 2026: Deadline Extended to October 24, 2025 - Main conference papers, Workshop & Tutorial Proposals
by info＠elda.org 15 Oct '25

15 Oct '25

[Apologies for multiple postings] The submission deadline for LREC 2026 Main conference papers, and workshop and tutorial proposals is extended to October 24, 2025. All deadlines are 11:59PM UTC-12:00 (“anywhere on Earth”). Submission pages on START * https://softconf.com/lrec2026/main * https://softconf.com/lrec2026/tutorials/ * https://softconf.com/lrec2026/workshops/ All information, including Calls for papers/proposals, can be found on the Conference Website: https://lrec2026.info/ General contact: info(a)lrec2026.info

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Joint Call for Tutorial Proposals (EACL/ACL) 2026
by ACL Announcements 15 Oct '25

15 Oct '25

This is a reminder that the deadline to submit tutorial proposals for EACL'26 & ACL'26 is coming soon: October 20, 2025! * Cutting-edge tutorials in CL/NLP: covering recent advances in emerging areas not previously addressed in tutorials at EACL, NAACL-HLT, ACL, or EMNLP * Introductory tutorials in related fields: offering overviews of disciplines potentially relevant to the CL/NLP community, such as linguistics, bioinformatics, machine learning, human-computer interaction, or applications of large language models in non-English languages. More information: https://aclweb.org/portal/content/joint-call-tutorial-proposals-eaclacl-2026 [1] Links: ------ [1] https://aclweb.org/portal/content/joint-call-tutorial-proposals-eaclacl-2026

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1st call Workshop on Multiword Expressions (MWE 2026)
by Verginica Barbu Mititelu 14 Oct '25

14 Oct '25

**1st CALL FOR PAPERS** 22nd Workshop on Multiword Expressions (MWE 2026) https://multiword.org/mwe2026/ Organized, sponsored, and endorsed by SIGLEX, the Special Interest Group on the Lexicon of the ACL, and by UniDive <https://unidive.lisn.upsaclay.fr> Cost Action CA21167 Half-day workshop collocated with the 19th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2026, https://2026.eacl.org/), Rabat, Morocco. Hybrid (on-site & on-line) ******************************************* Important Dates - Direct Submission deadline: December 19, 2025 - Pre-reviewed (ARR) submission deadline: January 2, 2026 - Notification of acceptance: January 23, 2026 - Camera-ready paper due: February 3, 2026 - Workshop dates: March 24-29, 2026 All deadlines are at 23:59 UTC-12 (Anywhere on Earth). ******************************************* Multiword expressions (MWEs), i.e., word combinations that exhibit lexical, syntactic, semantic, pragmatic, and/or statistical idiosyncrasies (Baldwin and Kim, 2010), such as “by and large”, “hot dog”, “make a decision” and “break one's leg” are still a pain in the neck for Natural Language Processing (NLP). The notion of MWE encompasses closely related phenomena: idioms, compounds, light-verb constructions, phrasal verbs, rhetorical figures, collocations, institutionalized phrases, etc. Given their irregular nature, MWEs often pose complex problems in linguistic modeling (e.g., annotation), NLP tasks (e.g., parsing), and end-user applications (e.g., natural language understanding and Machine Translation), hence still representing an open issue for computational linguistics (Miletić and Schulte im Walde, 2024; Ramisch et al., 2023; Phelps et al., 2024; Mahajan et al., 2024). For more than two decades, the topic of modeling and processing MWEs for NLP has been the focus of the MWE workshop, organized by the MWE section <https://multiword.org/> of ACL-SIGLEX <http://www.siglex.org/> in conjunction with major NLP conferences since 2003. Impressive progress has been made in the field, but our understanding of MWEs still requires much research, considering their need and usefulness in NLP applications. This is also relevant to domain-specific NLP pipelines that need to tackle terminologies most often realized as MWEs. Topics of interest include, but are not limited to: - Computationally-applicable theoretical work in psycholinguistics and corpus linguistics; - Annotation (expert, crowdsourcing, automatic) and representation in resources such as corpora, treebanks, e-lexicons, WordNets, constructions (also for low-resource languages); - Processing in syntactic and semantic frameworks (e.g. CCG, CxG, HPSG, LFG, TAG, UD, etc.); - Discovery and identification methods, including for specialized languages and domains such as clinical or biomedical NLP; - Interpretation of MWEs and understanding of text containing them; - Language acquisition, language learning, and non-standard language (e.g. tweets, speech); - Evaluation of annotation and processing techniques; - Retrospective comparative analyses from the PARSEME shared tasks; - Processing for end-user applications (e.g. MT, NLU, summarisation, language learning, etc.); - Implicit and explicit representation in pre-trained language models and end-user applications; - Evaluation and probing of pre-trained language models; - Resources and tools (e.g. lexicons, identifiers) and their integration into end-user applications; - Multiword terminology extraction; - Adaptation and transfer of annotations and related resources to new languages and domains including low-resource ones. Co-located Shared tasks The workshop MWE 2026 will host two shared tasks <https://unidive.lisn.upsaclay.fr/doku.php?id=other-events:parseme-admire-st…> : - PARSEME 2.0, whose objective is to identify and paraphrase MWEs in written text, and - AdMIRe 2 (Advancing Multimodal Idiomaticity Representation), which explores the comprehension ability of multimodal models for MWEs in a variety of languages. Submission formats The workshop invites two types of submissions: - archival submissions that present substantially original research in both long paper format (8 pages + references) and short paper format (4 pages + references). - non-archival submissions of abstracts describing relevant research presented/published elsewhere, which will not be included in the MWE proceedings. Paper submission and templates Papers should be submitted via the workshop's submission page <https://openreview.net/group?id=eacl.org/EACL/2026/Workshop> ( https://openreview.net/group?id=eacl.org/EACL/2026/Workshop). Please choose the appropriate submission format (archival/non-archival). Archival papers with existing reviews will also be accepted through the ACL Rolling Review. Submissions must follow the ACL stylesheet <https://github.com/acl-org/acl-style-files>. Authors are encouraged, wherever relevant, to adopt the conventions on citing, glossing and translating multilingual examples of MWEs <https://gitlab.com/parseme/pmwe/-/blob/master/Conventions-for-MWE-examples/…> promoted by the editors of the Phraseology and Multiword Expressions book series <https://langsci-press.org/catalog/series/pmwe> published by Language Science Press. Organizing Committee Verginica Barbu Mititelu, A. Seza Doğruöz, Alexandre Rademaker, Atul Kr. Ojha, Mathieu Constant, Ivelina Stoyanova Anti-harassment policy The workshop follows the ACL anti-harassment policy. Contact For any inquiries regarding the workshop, please send an email to the Organizing Committee at mwe2026workshop(a)gmail.com.

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Advance notice: ‘Statistics for linguistics with R’ bootcamp (08 – 12/07/2024)
by Magali Paquot 14 Oct '25

14 Oct '25

The Linguistics Research Unit of the Institute of Language and Communication (Université catholique de Louvain, Belgium) will be hosting Stefan Gries’s next bootcamp on statistics for linguistics with R from 08 to 12 July 2024. The ‘Statistics for linguistics with R’ bootcamp is a hands-on introduction to statistical methods for both graduate students and seasoned researchers and is loosely based on the third edition (2021) of Gries’s textbook Statistics for linguistics with R. The course is intended for linguists who already have a basic knowledge in statistics and some experience using R and who wish to improve their proficiency in statistical modeling of linguistic data. Using the open source software and programming language R, we will deal with: • fundamental aspects of fixed effects regression modeling for both numeric and binary response variables; these include exploration of data and their preparation for modeling, model formulation and selection; numerical and visual interpretation and evaluation of models; • more advanced aspects of fixed-effects regression modeling such as contrasts for ordinal predictors, orthogonal contrasts, curvature of numeric predictors, and maybe general linear hypothesis tests; • the theoretical foundations of mixed-effects regression modeling; • applications of mixed-effects modeling for both numeric and binary response variables; • tree-based methods and random forests: 'fitting' and interpreting them with importance scores, partial dependence scores, and detecting (not just capturing) interactions. The website of the bootcamp will be online in early 2024 and online registration will start on 1 March 2024, 11 am CEST. The number of participants is limited. If you would like to participate, mark the date in your diary! Contact email: magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be> Magali Paquot Convenor

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NEJLT is looking for assistant editors
by Marcel Bollmann 14 Oct '25

14 Oct '25

NEJLT, the Northern European Journal of Language Technology<https://www.nejlt.org/>, is looking for one or more volunteers to act as assistant editor(s) for the journal. What is NEJLT? NEJLT is a gold open-access journal on language technology and computational linguistics research with a global focus. We explicitly welcome submissions from anywhere in the world and on any language; if a paper would be suitable for a *ACL conference, it is suitable for NEJLT. Papers published in NEJLT also appear on the ACL Anthology. The motivation for NEJLT<https://www.nejlt.org/about/> in its current form is, in a nutshell, to offer an additional publication venue outside the usual conference cycles with a journal-style review process and fast turnaround times. Who is NEJLT looking for? As an assistant editor for NEJLT, your task would be to help with: * finding and contacting suitable action editors when a new submission is made * identifying submissions that require attention from action editors and sending out reminders * checking camera-ready versions before publication * advertising newly published papers on social media Finding, contacting, and recruiting suitable volunteers, such as those who can take over a new submission as action editor, is currently the most time-consuming task and the journal’s biggest bottleneck. All of this is currently handled by me in my role as the elected NEALT editor-in-chief, but after 21 months of running the journal, it is clear to me that NEJLT will not work in its intended form without spreading the load across more people. Therefore, I am looking for motivated volunteers who like to improve the journal’s operations together with me. How active is NEJLT? Between January 1st and September 30th of 2025, NEJLT has handled 18 submissions. Out of these submissions: * 2 are currently still awaiting their first decision * 2 were desk-rejected (wrong template/out of scope) * 2 received a reject decision after reviews * 1 was withdrawn by the authors * 10 received a decision of major or minor edits * 1 was published The average time until a first decision (not counting desk rejections, withdrawn papers, or revisions) in this period was 78.5 days. However, the variance here is rather high: the quickest decision was taken after 39 days, while the longest took 190 days. This is mainly due to delays in assigning action editors and reviewers, and is also the reason I have not more actively advertised the journal in the past two years. I might be interested in volunteering, what do I do? If you are interested in volunteering for NEJLT, please don’t hesitate to send me an e-mail! I am happy to answer any questions you might have or arrange a Zoom call to discuss this further. Please share this information with anyone who might be interested! You can also share it via this post on our website: https://www.nejlt.org/post/asst-editor-wanted/ Best regards, Marcel Bollmann -- Marcel Bollmann, Dr. phil. Associate Professor in Natural Language Processing Department of Computer and Information Science, Linköping University, Sweden www: https://marcel.bollmann.me/

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The Annual ACM Conference on Intelligent User Interfaces (IUI 2026): First Combo Call for Workshop Papers
by Announce 14 Oct '25

14 Oct '25

*** First Combo Call for Workshop Papers *** The Annual ACM Conference on Intelligent User Interfaces (IUI 2026) March 23-26, 2026, 5* Coral Beach Hotel & Resort, Paphos, Cyprus https://iui.hosting.acm.org/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> The ACM Conference on Intelligent User Interfaces (ACM IUI) is the leading annual venue for researchers and practitioners to explore advancements at the intersection of Artificial Intelligence (AI) and Human-Computer Interaction (HCI). IUI 2026 attracted a record number of submissions for the main conference (561 full paper submissions after an initial submission of 697 abstracts). Although the submission deadline for the main conference is now over, we welcome the submission of papers to a number of workshops that will be held as part of IUI 2026. A list of these workshops, with a short description and the workshops' websites for further information, follows below. AgentCraft: Workshop on Agentic AI Systems Development (full-day workshop) Organizers: Karthik Dinakar (Pienso), Justin D. Weisz (IBM Research), Henry Lieberman (MIT CSAIL), Werner Geyer (IBM Research) URL: https://agentcraft-iui.github.io/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Ambitious efforts are underway to build AI agents powered by large language models across many domains. Despite emerging frameworks, key challenges remain: autonomy, reasoning, unpredictable behavior, and consequential actions. Developers struggle to comprehend and debug agent behaviors, as well as determine when human oversight is needed. Intelligent interfaces that enable meaningful oversight of agentic plans, decisions, and actions are needed to foster transparency, build trust, and manage complexity. We will explore interfaces for mixed-initiative collaboration during agent development and deployment, design patterns for debugging agent behaviors, strategies for determining developer control and oversight, and evaluation methods grounding agent performance in real-world impact. AI CHAOS! 1st Workshop on the Challenges for Human Oversight of AI Systems (full-day workshop) Organizers: Tim Schrills (University of Lübeck), Patricia Kahr (University of Zurich), Markus Langer (University of Freiburg), Harmanpreet Kaur (University of Minnesota), Ujwal Gadiraju (Delft University of Technology) URL: https://sites.google.com/view/aichaos/iui-2026?authuser=0<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> As AI permeates high-stakes domains—healthcare, autonomous driving, criminal justice —failures can endanger safety and rights. Human oversight is vital to mitigate harm, yet methods and concepts remain unclear despite regulatory mandates. Poorly designed oversight risks false safety and blurred accountability. This interdisciplinary workshop unites AI, HCI, psychology, and regulation research to close this gap. Central questions are: How can systems enable meaningful oversight? Which methods convey system states and risks? How can interventions scale? Through papers, talks, and interactive discussions, participants will map challenges, define stakeholder roles, survey tools, methods, and regulations, and set a collaborative research agenda. CURE 2026: Communicating Uncertainty to foster Realistic Expectations via Human- Centered Design (half-day workshop) Organizers: Jasmina Gajcin (IBM Research), Jovan Jeromela (Trinity College Dublin), Joel Wester (Aalborg University), Sarah Schömbs (University of Melbourne), Styliani Kleanthous (Open University of Cyprus), Karthikeyan Natesan Ramamurthy (IBM Research), Hanna Hauptmann (Utrecht University), Rifat Mehreen Amin (LMU Munich) URL: https://cureworkshop.github.io/cure-2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Communicating system uncertainty is essential for achieving transparency and can help users calibrate their trust in, reliance on, and expectations from an AI system. However, uncertainty communication is plagued by challenges such as cognitive biases, numeracy skills, calibrating risk perception, and increased cognitive load, with research finding that lay users can struggle to interpret probabilities and uncertainty visualizations. HealthIUI 2026: Workshop on Intelligent and Interactive Health User Interfaces (half-day workshop) Organizers: Peter Brusilovsky (University of Pittsburgh), Behnam Rahdari (Stanford University), Shriti Raj (Stanford University), Helma Torkamaan (TU Delft) URL: https://healthiui.github.io/2026/<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> As AI transforms health and care, integrating Intelligent User Interfaces (IUI) in wellness applications offers substantial opportunities and challenges. This workshop brings together experts from HCI, AI, healthcare, and related fields to explore how IUIs can enhance long-term engagement, personalization, and trust in health systems. Emphasis is on interdisciplinary approaches to create systems that are advanced, responsive to user needs, mindful of context, ethics, and privacy. Through presentations, discussions, and collaborative sessions, participants will address key challenges and propose solutions to drive health IUI innovation. MIRAGE: Misleading Impacts Resulting from AI-Generated Explanations (full-day workshop) Organizers: Simone Stumpf (University of Glasgow), Upol Ehsan (Northeastern University), Elizabeth M. Daly (IBM Research), Daniele Quercia (Nokia Bell Labs) URL: https://mirage-workshop.github.io<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Explanations from AI systems can illuminate, yet they can misguide. MIRAGE at IUI tackles pitfalls and dark patterns in AI explanations. Evidence now shows that explanations may inflate unwarranted trust, warp mental models, and obscure power asymmetries—even when designers intend no harm. We classify XAI harms as Dark Patterns (intentional, e.g., trust-boosting placebos) and Explainability Pitfalls (unintended effects without manipulative intent). These harms include error propagation (model risks), over-reliance (interaction risks), and false security (systemic risks). We convene an interdisciplinary group to define, detect, and mitigate these risks. MIRAGE shifts focus to safe explanations, advancing accountable, human-centered AI. PARTICIPATE-AI: Exploring the Participatory Turn in Citizen-Centred AI (half-day workshop) Organizers: Pam Briggs (Northumbria University), Cristina Conati (University of British Columbia), Shaun Lawson (Northumbria University), Kyle Montague (Northumbria University), Hugo Nicolau (University of Lisbon), Ana Cristina Pires (University of Lisbon), Sebastien Stein (University of Southampton), John Vines (University of Edinburgh) URL: https://sites.google.com/view/participate-ai/workshop<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> This workshop explores value alignment for participatory AI, focusing on interfaces and tools that bridge citizen participation and technical development. As AI systems increasingly impact society, meaningful and actionable citizen input in their development becomes critical. However, current participatory approaches often fail to influence actual AI systems, with citizen values becoming trivialized. This workshop will address challenges such as risk articulation, value evolution, democratic legitimacy, and the translation gap between community input and system implementation. Topics include value elicitation within different communities, critical analysis of failed participatory attempts, and methods for making citizen concerns actionable for developers. SHAPEXR: Shaping Human-AI-Powered Experiences in XR (full-day workshop) Organizers: Giuseppe Caggianese (National Research Council of Italy, Institute for High-Performance Computing and Networking Napoli), Marta Mondellini (National Research Council of Italy, Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing, Lecco), Nicola Capece (University of Basilicata), Mario Covarrubias (Politecnico di Milano), Gilda Manfredi (University of Basilicata) URL: https://shapexr.icar.cnr.it<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> This workshop explores how eXtended Reality (XR) can serve as a multimodal interface for AI systems, including LLMs and conversational agents. It focuses on designing adaptive, human-centered XR environments that incorporate speech, gesture, gaze, and haptics for seamless interaction. Main topics include personalization, accessibility, cognitive load, trust, and ethics in AI-driven XR experiences. Through presentations, discussions, and collaborative sessions, the workshop aims to establish a subcommunity within IUI to develop a roadmap that includes design principles and methodologies for inclusive and adaptive intelligent interfaces, enhancing human capabilities across various domains, such as healthcare, education, and collaborative environments. TRUST-CUA: Trustworthy Computer-Using Generalist Agents for Intelligent User Interfaces (full-day workshop) Organizers: Toby Jia-Jun Li (University of Notre Dame), Segev Shlomov (IBM Research), Xiang Deng (Scale AI), Ronen Brafman (Ben-Gurion University of the Negev), Avi Yaeli (IBM Research) Zora (Zhiruo) Wang (Carnegie Mellon University) URL: https://sites.google.com/view/trust-cuaiui26/home<http://www.cs.ucy.ac.cy/~george/GPLists_2021/lm.php?tk=Y29ycG9yYQkJCWNvcnBv…> Computer-Using Agents (CUAs) are moving from point automations to generalist agents acting across GUIs, browsers, APIs, and CLIs—raising core IUI questions of trust, predictability, and control. This workshop advances trustworthy-by-design CUAs through human-centered methods: mixed-initiative interaction, explanation and sensemaking, risk/uncertainty communication, and recovery/rollback UX. Outcomes include (1) a practical TRUST-CUA checklist for oversight, consent, and auditing, (2) a user-centered evaluation profile (“CUBench-IUI,” e.g., predictability, oversight effort, time-to-recovery, policy-aligned success), and (3) curated design patterns and open challenges for deployable, accountable agentic interfaces. Important Dates • Paper Submission: 19 December, 2025 • Notification: February 2, 2026 All dates are 23:59h AoE (anywhere on Earth). Organisation General Chairs • Tsvi Kuflik, The University of Haifa, Israel • Styliani Kleanthous, Open University of Cyprus, Cyprus Local Organising Chair • George A. Papadopoulos, University of Cyprus, Cyprus Workshop and Tutorial Chairs • Karthik Dinakar, Pienso Inc, USA • Werner Geyer, IBM Research, USA • Patricia Kahr, Eindhoven University of Zurich, Switzerland • Antonela Tommasel, ISISTAN, CONICET-UNCPBA, JKU, Argentina, Austria

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