- Corpora - ELRA lists

CFP - KNLP at SAC 2026 - Deadline approaching
by Patrizio Bellan 19 Sep '25

19 Sep '25

*Knowledge and Natural Language Processing Track @ ACM-SAC* Aim of the Knowledge and Natural Language Processing (KNLP) track at ACM SAC is to investigate techniques and application of knowledge engineering and natural language processing, focusing in particular on approaches combining them. This is an extremely interdisciplinary emerging research area, at the core of Artificial Intelligence, combining and complementing the scientific results from Natural Language Processing and Knowledge Representation and Reasoning. Topics of interest Topics of interest include, but are not limited to: - Natural Language Processing - NLP tasks for Knowledge Extraction - NLP for Ontology Population and Learning - Sentiment Analysis and Opinion Mining for Knowledge Applications - Interplay between Language and Ontologies - NLP for Explainable Knowledge - Machine Translation techniques for Multilingual Knowledge - NLP for the Web - Bias detection and mitigation in small/large LM - (Small/Large) LM and Knowledge - Knowledge - Knowledge to improve NLP tasks - Knowledge for Information Retrieval - Knowledge-based Sentiment Analysis and Opinion Mining - Combining Knowledge and Deep Learning for NLP - Knowledge for Text Summarization and Generation - Knowledge for Persuasion - Knowledge-based Machine Translation - Knowledge for the Web - Linked Data for NLP - Knowledge-based NL Explainability - LM-enhanced ontology and knowledge engineering methodologies and tools - LM-based agent for knowledge extraction, reasoning, and management - Ontology evaluation via small/large LMs - (Ontological) knowledge memorization in LMs - Knowledge-based techniques for LMs (Retrieval Augmented Generation based approaches, fact-checking, and bias mitigation) - Question answering over knowledge graphs via small/large LMs - Real-world applications that exploit Knowledge and NLP - Real-world applications that exploit Knowledge and NLP - Knowledge and NLP Systems for Big Data scenarios - Knowledge and NLP technology for a diverse, equitable, and inclusive society - Deployment of Knowledge and NLP Systems in specific domains, such as: - Digital Humanities and Social Sciences - eGovernment and public administration - Life sciences, health, and medicine - News and Data Streaming Paper Submission Submissions must not have been published or be concurrently considered for publication elsewhere. Papers should be submitted in PDF using the ACM-SAC proceedings format <https://www.sigapp.org/sac/sac2026/authorkit.php>. Authors' names and affiliations should be entered separately at the submission site and not appear in the submitted papers. Each submission will be reviewed in *a DOUBLE-BLIND *process according to the ACM-SAC Regulations. Student Research Competition (SRC) submissions are welcome (see SAC 2026 SRC page for details <https://www.sigapp.org/sac/sac2026/src_program.php>). Initial Submission Policy - All submissions must initially be submitted as regular papers. There is no separate submission track for poster papers. - Paper selection is based on originality, technical contribution, presentation quality, and relevance to the Knowledge and Natural Language Processing Track. - Based on the outcome of the review process, some submissions—although technically sound—may not be accepted as regular papers due to overall acceptance rate constraints, and could be accepted as posters Minimum Length for Review Consideration - While there is no formal minimum page requirement, submissions of fewer than four (4) full pages that do not demonstrate substantial contributions may be subject to desk rejection without external review. Camera-ready Page Limits - Regular Papers (accepted for publication): - Up to eight (8) pages are included with standard registration. Poster Papers (recommended for acceptance): - Up to two (2) pages are included with standard registration. *Important Dates (check SAC website <https://www.sigapp.org/sac/sac2026/#important-dates> for up-to-date dates)* September 26, 2025: Regular Paper & SRC Abstract Submission For further information, please visit the Knowledge and Natural Language Processing Track <https://knlp.fbk.eu/> and ACM-SAC 2026 <https://www.sigapp.org/sac/sac2026/> conference websites or feel free to contact the Track Co-Chairs <knlp(a)fbk.eu>. -- -- Le informazioni contenute nella presente comunicazione sono di natura privata e come tali sono da considerarsi riservate ed indirizzate esclusivamente ai destinatari indicati e per le finalità strettamente legate al relativo contenuto. Se avete ricevuto questo messaggio per errore, vi preghiamo di eliminarlo e di inviare una comunicazione all’indirizzo e-mail del mittente. -- The information transmitted is intended only for the person or entity to which it is addressed and may contain confidential and/or privileged material. If you received this in error, please contact the sender and delete the material.

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First CFP for JAAMAS Special Issue: When Foundation Models Meet Multi-Agent Systems
by Surangika Ranathunga 18 Sep '25

18 Sep '25

[Apologies if you got multiple copies of this invitation] *First CFP for JAAMAS Special Issue: When Foundation Models Meet Multi-Agent Systems* *Deadline:* February 28, 2026 *CFP link:* https://link.springer.com/journal/10458/updates/27805014 <https://apc01.safelinks.protection.outlook.com/?url=https%3A%2F%2Flink.spri…> *Call for Papers* The recent advancements in foundation models (FMs), including Large Language Models and multimodal models, mark a significant milestone in the field of Artificial Intelligence. Their capabilities in language understanding, generation and reasoning open new avenues for addressing long-standing challenges in Multi-Agent Systems (MASs). Conversely, the theories, concepts, methodologies of MASs hold the potential to further enhance FM capabilities, enabling multi-agent collaboration to solve complex tasks beyond single-agent limits. However, integrating FMs into MASs introduces new challenges such as managing the risks of hallucinations, bias, unfair decisions and behaviour that is not aligned with norms and ethical principles. This special issue delves into the intersection of FMs and MASs. We invite researchers from across the AI community to explore this exciting frontier. Topics of interest include, but are not limited to: - 1) FMs as solutions to MASs: How can FMs help address coordination, cooperation, optimization, and learning within MASs? How can they enhance the modelling and simulation of societies within MAS frameworks? How can they expand the application of game theory and mechanism design, and enable novel MAS applications? - 2) MASs as solutions to FMs: How can theories, concepts, architectures and methodologies of agents, MASs, and game theory contribute to improving FM capabilities, particularly in planning, reasoning, and decision-making? How can MASs help mitigate issues, like hallucination and bias, within FMs, and improve accountability and transparency of FMs? - 3) Societal implications: What are the potential societal impacts of combining FMs with MAS technology? How can these impacts be rigorously assessed, and what strategies can mitigate negative outcomes? Authors are encouraged to submit original research papers, survey papers and viewpoint papers that discuss an ongoing trend or spark interest in new ideas or areas. It is strongly encouraged that papers focus on the synergy between FMs and MASs. Papers related to recent LLM developments based on agent concepts (e.g. on “Agentic AI”) are expected to make explicit connections to existing theory and practice in MASs. A cover letter explicitly stating how the paper makes connections with prior work on autonomous agents and multi-agent systems is required during the formal submission process. The Guest Editors can be contacted (at fm-mas-special-issue(a)googlegroups.com) for pre-submission inquiries (including brief descriptions—no full paper required) to assess whether a manuscript is a good fit for this special issue. *Timeline * - February 28, 2026: Submission deadline - May 31, 2026: First round review notification - July 31, 2026: Revised manuscript deadline - August 30, 2026: Final decision notification *Guest Editors* - Stephen Cranefield, University of Otago, New Zealand - Shuyue Hu, Shanghai Artificial Intelligence Lab, China - Bastin Tony Roy Savarimuthu, University of Otago, New Zealand - Surangika Ranathunga, Massey University, New Zealand *Inquiries should be sent to* fm-mas-special-issue(a)googlegroups.com

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Invitation: Public online talk - From Framing to False... @ Thu Sep 18, 2025 6:30pm - 7:30pm (GMT+3) (corpora@list.elra.info)
by Ari Muhammad Said 18 Sep '25

18 Sep '25

[Corpora-List] Public online talk - From Framing to False Premises: A Two-Axis View of Robust LLM Reasoning (Dr Nafise Sadat Moosavi, University of Sheffield) - 25 Sep 2025 Thursday Sep 18, 2025 ⋅ 6:30pm – 7:30pm Arabian Standard Time - Baghdad Join with Google Meet https://meet.google.com/xbq-wzhd-igc?hs=224 Join by phone (US) +1 585-491-9028 PIN: 955632710 We welcome you to the next Natural Language Processing and Vision (NLPV) seminar at the University of Exeter. Scheduled: Thursday 25 Sep 2025 at 15:00 to 16:00, GMT+1 Location: https://Universityofexeter.zoom.us/j/92525879857?pwd=goytDAcZ4zTpM0OIogW9Yb… (Meeting ID: 925 2587 9857 Password: 485835) Title: From Framing to False Premises: A Two-Axis View of Robust LLM Reasoning Abstract: Large language models often appear to “reason”, yet their answers can be steered by how we ask and by what assumptions slip into the question. This talk advances a two-axis view of question robustness grounded in two benchmarks. On the surface, logically equivalent phrasings (e.g., more vs less) can directionally bias conclusions, a systematic framing effect, captured by More or... Organizer Ari Muhammad Said ari.said(a)uoh.edu.iq Guests Ari Muhammad Said - organizer corpora(a)list.elra.info View all guest info https://calendar.google.com/calendar/event?action=VIEW&eid=NTRrbHJhZmV2cjZp… Reply for corpora(a)list.elra.info and view more details https://calendar.google.com/calendar/event?action=VIEW&eid=NTRrbHJhZmV2cjZp… Your attendance is optional. ~~//~~ Invitation from Google Calendar: https://calendar.google.com/calendar/ You are receiving this email because you are an attendee on the event. Forwarding this invitation could allow any recipient to send a response to the organizer, be added to the guest list, invite others regardless of their own invitation status, or modify your RSVP. Learn more https://support.google.com/calendar/answer/37135#forwarding

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CFP: Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication
by Constantin Orasan 18 Sep '25

18 Sep '25

Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication Guildford, UK, 17 - 19 June 2026 First call for papers https://www.surrey.ac.uk/centre-translation-studies/convergence-2026 The conference Building on the success of the first Convergence conference<https://www.surrey.ac.uk/centre-translation-studies/convergence-2023> in 2023, which explored the responsible and intelligent integration of human and machine capabilities in translation and interpreting, the Centre for Translation Studies<https://www.surrey.ac.uk/cts> at University of Surrey, UK, is proud to announce Convergence 2026: Human-AI Integration for Multilingual and Accessible Communication. The second edition of the Convergence conference will create an opportunity to bring together innovative research on the evolving landscape of AI in the context of multilingual and accessible communication, reflecting on the complexity and effects of using AI-driven technologies in these fields. The conference will foster a multidisciplinary dialogue that will generate new theoretical perspectives and practical research, focusing on themes such as the ethical aspects of AI in translation and interpreting, AI-enabled digital accessibility and societal inclusion, and the impact of Generative AI on language mediation. We will also examine the evolving role of language professionals, the power of Large Language Models (LLMs) in supporting multilingual communication, and the crucial need for responsible use of language AI in the public sector. The conference will publish full papers in open access proceedings with assigned ISBN and DOI. Conference themes Theme 1: Ethical aspects of AI in translation and interpreting Theme 2: AI-enabled digital accessibility and societal inclusion Theme 3: Which creative turn? Language mediation in the era of GenAI Theme 4: The evolving role of language professionals in the era of AI Theme 5: LLMs supporting multilingual communication Theme 6: Responsible use of language AI in the public sector Submissions and publications Convergence 2026 invites the following types of submissions on one of the conference themes: * Full papers - describing original completed research. Allowed paper length: maximum 8 pages + unlimited number of pages for references and appendices * Short papers - describing work in progress. Allowed paper length: maximum 4 pages + unlimited number of pages for references and appendices The conference aims to be a platform for in-depth discussion of prevalent themes while also offering contributors the opportunity for swift publication of their work. The event will provide the wide community of Translation and Interpreting Studies and the disciplines it intersects with, a space for networking, collective brainstorming and looking into the future of communication, all sustained by a robust set of papers published in the conference proceedings. Both full and short papers can be associated with rigorous empirical work or conceptual approaches to the themes of the conference. PhD students are also invited to submit papers regardless of the stage of their PhD journey. If accepted, their papers may be selected to any of the sessions of the conference, including a dynamic poster session, in which students may receive feedback and consider new developments for their work. The papers should be formatted using a style similar to the two column ACL style (available at https://acl-org.github.io/ACLPUB/formatting.html). The next call for papers will provide links to the styles customised for the Convergence 2026 conference. The submission will be electronic, using the Softconf START conference management system which will be available at the conference website soon. The follow up calls will provide more details about how to submit papers. Each submission will be reviewed by three members of the Programme Committee. The conference will not consider and evaluate abstracts only. The final versions of the accepted papers will be published in e-proceedings with assigned ISBN and DOI. Authors may add one additional page to their final submission to incorporate the feedback from reviewers. Schedule * Deadline for full papers: 16th Feb 2026 * Notification to authors: 30th March 2026 * Submissions of final papers: 22nd May 2026 * Dates of the conference: 17 - 19 June 2026 Venue The conference will take place in Guildford at University of Surrey. Further information and contact details The second call for papers will be published at the beginning of November. The follow-up calls will list keynote speakers, conference chairs and members of the programme committee once confirmed. Meanwhile, if you have any questions do not hesitate to contact us on cts_inquiries(a)surrey.ac.uk<mailto:cts_enquiries@surrey.ac.uk> --- Prof Constantin Orăsan Professor of Language and Translation Technologies Centre for Translation Studies<https://www.surrey.ac.uk/centre-translation-studies> | School of Literature and Languages<https://www.surrey.ac.uk/school-literature-languages> Personal page: https://www.surrey.ac.uk/people/constantin-orasan Office: 06LC03, Phone: +44 (0) 1483 68 4115 Library and Learning Centre, University of Surrey, Guildford, Surrey, GU2 7XH, UK

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Public online talk - From Framing to False Premises: A Two-Axis View of Robust LLM Reasoning (Dr Nafise Sadat Moosavi, University of Sheffield) - 25 Sep 2025
by h.dong2＠exeter.ac.uk 18 Sep '25

18 Sep '25

We welcome you to the next Natural Language Processing and Vision (NLPV) seminar at the University of Exeter. Scheduled: Thursday 25 Sep 2025 at 15:00 to 16:00, GMT+1 Location: https://Universityofexeter.zoom.us/j/92525879857?pwd=goytDAcZ4zTpM0OIogW9Yb… (Meeting ID: 925 2587 9857 Password: 485835) Title: From Framing to False Premises: A Two-Axis View of Robust LLM Reasoning Abstract: Large language models often appear to “reason”, yet their answers can be steered by how we ask and by what assumptions slip into the question. This talk advances a two-axis view of question robustness grounded in two benchmarks. On the surface, logically equivalent phrasings (e.g., more vs less) can directionally bias conclusions, a systematic framing effect, captured by More or Less Wrong. In the depths, multi-hop questions can embed false premises; when such premises are present, models often answer anyway instead of detecting and rejecting them, behavior exposed by MultiHoax. Together, these benchmarks set non-negotiable standards for robust reasoning: framing invariance and premise integrity. Speaker's bio: Dr Nafise Sadat Moosavi is a Lecturer in Natural Language Processing at the University of Sheffield. Her research tackles the nuanced challenges of large language models, including reasoning, efficiency, robustness and fairness. She earned her PhD in Computational Linguistics from the University of Heidelberg. In the research community, she has served as Senior Area Chair for ACL, NAACL, EMNLP, and COLING, and co-initiated and co-organized the SustaiNLP workshop series. At Sheffield, she is Deputy Director of EDI, leading initiatives that foster equity, inclusion and a positive research culture. We will update future talks on the website: https://sites.google.com/view/neurocognit-lang-viz-group/seminars Joining our *Google group* for future seminar and research information: https://groups.google.com/g/neurocognition-language-and-vision-processing-g…

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Call for papers: EVOLANG XVI (Plovdiv, Bulgaria, 7-10 April 2026)
by Dimitar Kazakov 17 Sep '25

17 Sep '25

Submission link and deadline: ======================= The deadline for submission to EVOLANG XVI (Plovdiv, Bulgaria, 7–10 April 2026) is *26 October 2025* (AoE). To submit to EVOLANG XVI, use: https://openreview.net/group?id=EVOLANG.org/2026/Conference. About the conference: ================= The Evolang conference series provides the major meeting for researchers studying the origins and evolution of language. Submissions may be in any relevant discipline, including, but not limited to: anthropology, archeology, biology, cognitive science, genetics, linguistics, computational modeling (including mathematical, agent-based, and neural-network models), paleontology, physiology, primatology, philosophy, semiotics, and psychology. Submission guidance: ================= Normal standards of academic excellence apply. Submitted papers should make clear how they advance the study of language evolution and relate any novel results to up-to-date scientific literature. Submissions should aim to make clear their own substantive claim relating to relevant, current scientific literature in the field of language evolution by demonstrating the method by which their claims are substantiated, the nature of the relevant data, and/or the core of the theoretical argument. Submissions centred around empirical studies should not rest on preliminary results. All submissions are refereed by at least three relevant referees, and acceptance is based on a scoring scheme pooling the reports of the referees. In recent conferences, the acceptance rate has been about 50%. The conference showcases both oral presentations and poster presentations. Please carefully read the guidelines – and further details within the provided submission templates – to prepare your submission. In addition to your submission, you will be asked to provide a 150-word summary of your contribution. Submissions which do not have clear relevance to the field or do not adhere to the guidelines may be rejected without review. If you have a problem with your submission, please email scientific-committee(a)evolang.org . The conference language at Evolang XVI will be English with additional accessibility support in the form of captions. All submission information and templates can be found here: https://sites.google.com/york.ac.uk/evolang2026/submission Dr Dimitar Kazakov evolang2026(a)gmail.com ______________________________ Disclaimer: http://www.york.ac.uk/docs/disclaimer/email.htm

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EVOLANG XVI (7-10 April 2026) call for workshop proposals
by Dimitar Kazakov 17 Sep '25

17 Sep '25

======================================================== EVOLANG XVI [Plovdiv, Bulgaria, 7-10 April 2026 | evolang2026.org] INTERNATIONAL CONFERENCE ON THE EVOLUTION OF LANGUAGE ======================================================== Call for Workshop Proposals ======================================================== Submission Deadline: 22 Sept 2025 (AoE) Notification of Acceptance: 3 Oct 2025 EVOLANG XVI (Plovdiv, Bulgaria) will host up to six thematically focused, half-day workshops on 7 April 2026. The half-day format can accommodate, for example, 8 half-hour slots with 15 minutes for an introduction and 30 minutes for breaks. Other formats within the allotted time are also welcome. What to submit ============= Workshop proposals should be no more than 500 words excluding references. Please specify the following: * The theme of the workshop and how it fits EvoLang; * How many talks and how they will be reviewed; * A list of invited speakers, should they be known; * Whether and how the organisers plan to publish the proceedings/results of the workshop; * If applicable, a detailed motivation to limit the number of participants. How to Submit =========== Send proposals as a PDF attachment to evolang2026+workshops(a)gmail.com by 22 Sept 2025 (AoE). Notification of acceptance will be given by 3 Oct 2025. The detailed scheduling of the workshops and the quality of workshop contributions will be left to the workshop organisers, who are independently responsible for inviting and reviewing submissions and/or speakers for their workshop, and notifying participants in due time to register for the conference. About the Conference ================= The EvoLang conference series provides the major meeting for researchers worldwide in the origins and evolution of language. For more information, please see: http://evolang.org See also the call for conference papers on the Evolang 2026 web site ( evolang2026.org). Dr Dimitar Kazakov evolang2026(a)gmail.com ______________________________ Disclaimer: http://www.york.ac.uk/docs/disclaimer/email.htm

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CFP: The Twenty-Fifth International Workshop on Computational Models of Natural Argument (CMNA'25)
by giulia.dagostino＠usi.ch 16 Sep '25

16 Sep '25

CMNA’25: The Twenty-Fifth International Workshop on Computational Models of Natural Argument The main website for this edition of the workshop is here: https://cmna-workshop.github.io/cmna25/ A PDF copy of this call can be found here: https://cmna-workshop.github.io/cmna25/assets/cfp/cfp1.pdf The forthcoming 25th annual edition of the Workshop on Computational Models of Natural Argument (CMNA'25) will be held independently & online as we celebrate twenty-five years of this workshop series and look forward to a further twenty-five more. We are pleased to invite submissions for this landmark twenty-fifth edition of the Computational Models of Natural Argument workshop. The CMNA workshop series focuses on the issue of modelling “natural” argumentation, where naturalness may range across a variety of forms, perhaps involving the use of visual rather than linguistic means to illustrate a point, for example using graphics or multimedia, or applying more sophisticated rhetorical devices, interacting at various layers of abstraction, or exploiting “extra-rational” characteristics of the audience, taking into account emotions and affective factors. For this edition, CMNA will be run online as virtual workshop entirely online in the hope that more of our friends and colleagues from around the world can participate. To celebrate this landmark year, we solicit contributions on the special theme of “Reflections & Horizons: The past 25 years of Computational Models of Natural Argument and visions of things to come”. This theme should be interpreted broadly, to reflect the wide range of argumentative practices and models that have been studied and shared at CMNA. We also encourage reflection on the development of argumentation theory, within the remit of CMNA, during the last 25 years. Finally we also encourage forward looking contributions that share a vision of how argumentation research might develop over the next quarter century. Nothwithstanding the special theme, we also solicit contributions addressing, but not limited to, the following areas of interest: • The characteristics of “natural” arguments (e.g. ontological aspects, cognitive issues, legal aspects). • The linguistic characteristics of natural argumentation, including discourse markers, sentence format, referring expressions, and style. • The generation of natural argument. • Corpus argumentation results and techniques. • Argumentation mining. • Models of natural legal argument. • Rhetoric and affect: the role of emotions, personalities, etc. in argumentation. • The roles of licentiousness and deceit and the ethical implications of implemented systems demonstrating such features. • Natural argumentation in multi-agent systems. • Methods to better convey the structure of complex argument, including representation and summarisation. • Natural argumentation and media: visual arguments, multi-modal arguments, spoken arguments. • Evaluative arguments and their application in AI systems (such as decision-support and advice-giving). • Non-monotonic, defeasible and uncertain argumentation. • The computational use of models from informal logic and argumentation theory. • Computer supported collaborative argumentation, for pedagogy, e-democracy and public debate. • Tools for interacting with structures of argument. • Applications of argumentation based systems. Submission ===================================================== We welcome submissions of full papers (limited to 10 pages in length), short papers (limited to 5 pages in length), or demos, position statements, and late Breaking results (each limited to a 2 a page abstract). It is highly recommended, but not mandatory, to format papers using the CEUR single column style (further information available from the submission section of the CMNA website). All submissions will be peer-reviewed by members of the programme committee. Accepted papers will be grouped into thematic sessions that incorporate extensive time for questions and discussion. For all submission types, please upload your contribution using the Conference Management Toolkit (CMT): https://cmt3.research.microsoft.com/User/Login?ReturnUrl=%2FCMNA2025 Key Dates ===================================================== - Regular Paper submission (long & short papers): 17th October 2025 - Regular & Short Paper notification to authors: 7th November 2025 - Demo, position statement, & late breaking results submission (2 page abstract): 14th November 2025 - Demo, position statement, & late breaking results Notification to authors: 28th November 2025 - Final (Camera Ready) version of papers: 28th November 2025 - CMNA Workshop: 12th December 2025 Organizers ===================================================== - Giulia D’Agostino -- giulia.dagostino(a)usi.ch (Università della Svizzera italiana) - Floriana Grasso -- floriana(a)liverpool.ac.uk (University of Liverpool) - Nancy Green -- nlgreen(a)uncg.edu (University of North Carolina Greensboro) - Roos Scheffers -- r.j.scheffers(a)uu.nl (Utrecht University) - Jodi Schneider -- jschneider(a)pobox.com (University of Illinois Urbana Champaign) - Simon Wells -- s.wells(a)napier.ac.uk (Edinburgh Napier University)

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call for participation in our survey on collecting data in the era of LLMs
by Neele Falk 16 Sep '25

16 Sep '25

--------Call for participation in a research survey on collecting data in the era of LLMs------------------------------- Dear Collegues, We (researchers originally from University of Stuttgart, Kopenhagen and Gent) are conducting a survey on the challenges of collecting data in the era of large language models (LLMs). In particular, we are interested in issues such as crowdworkers relying on LLMs to generate free-text responses that are expected to be written by themselves. Our goal is to better understand the contexts in which researchers encounter these problems and to find possible solutions. The survey is completely anonymous and should take about 5–10 minutes to complete. You can access it here: https://ugent.qualtrics.com/jfe/form/SV_6KUJzBhQSgemzpY We would be very grateful for your input—your perspective will help support this research. Thank you for your time and support! Best regards Aswathy Velutharambath, Amelie Wührl, Sofie Labat, Tarun Tater and Neele Falk

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September 2025 Newsletter - LDC
by Penn LDC 15 Sep '25

15 Sep '25

In this newsletter: LDC data and commercial technology development New publications: Mixer 7 English Speech<https://catalog.ldc.upenn.edu/LDC2025S08> AIDA Scenario 1 Evaluation Topic Source Data, Annotation and Assessment<https://catalog.ldc.upenn.edu/LDC2025T13> LORELEI Hindi Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2025T12> ________________________________ LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing<https://www.ldc.upenn.edu/data-management/using/licensing> page for further information. ________________________________ New publications: Mixer 7 English Speech<https://catalog.ldc.upenn.edu/LDC2025S08> was developed by LDC and contains 12,321 hours of audio recordings of interviews, transcript readings, and conversational telephone speech involving 222 distinct English speakers. This material was collected by LDC in 2010-2011 as part of the Mixer project, and the recordings were used in the 2012 NIST SRE test set. Recruited speakers were connected through a robot operator to carry on casual conversations on a pre-set topic lasting up to 10 minutes. Participants also visited LDC's Human Subjects Collection Lab equipped with a 14-microphone array where they participated in interviews and transcript readings, and conducted telephone calls under varying conditions. Selected speaker metadata was also collected. 2025 members can access this corpus through their LDC accounts. This corpus is a Members-Only release and is not available for non-member licensing. Contact ldc(a)ldc.upenn.edu<mailto:ldc@ldc.upenn.edu> for information about membership. * AIDA Scenario 1 Evaluation Topic Source Data, Annotation and Assessment<https://catalog.ldc.upenn.edu/LDC2025T13> was developed by LDC and is comprised of English, Russian, and Ukrainian web documents (text, video, image), annotations, and assessments used in the AIDA Phase 1 pilot and final evaluations. The Phase 1 scenario focused on political relations between Russia and Ukraine in the 2010s. The material in this corpus covers the following events: Suspicious Deaths and Murders in Ukraine (January-April 2015); Odessa Tragedy (May 2, 2014); and Siege of Sloviansk and Battle of Kramatorsk (April-July 2014). The corpus contains 10,522 documents, annotations for 386 of those documents, and assessment results covering 77,965 responses in 1,525 of those documents. Annotations were performed in three steps: (1) within-document labels for scenario-related entities, relations, and events; (2) coreference annotation across documents by linking information elements to a knowledge base; and (3) indications of any relationship between labeled events/relations and hypotheses about the scenario. In the assessment phase, LDC annotators reviewed and judged system response files to provide evaluation organizers with a means for scoring submissions. Assessment tasks included zero-hop assessment, class-based assessment, graph assessment, and hypothesis assessment. The DARPA AIDA (Active Interpretation of Disparate Alternatives) program aimed to develop a multi-hypothesis semantic engine to generate explicit alternative interpretations of events, situations, and trends from a variety of unstructured sources. LDC supported AIDA by collecting, creating, and annotating multimodal linguistic resources in multiple languages. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * LORELEI Hindi Representative Language Pack<https://catalog.ldc.upenn.edu/LDC2025T12> contains over 26 million words of Hindi monolingual text, 363,00 words of which were translated into English, 1.07 million words of found Hindi-English parallel text, and 118,000 Hindi words translated from English data. Approximately 103,000 words were annotated for simple named entities and over 25,000 words were annotated for full entity (including nominals and pronouns), entity linking, and situation frames (identifying entities, needs and issues). Data was collected from discussion forum, news, reference, social network, and weblogs. The LORELEI (Low Resource Languages for Emergent Incidents) program was concerned with building human language technology for low resource languages in the context of emergent situations. Representative languages were selected to provide broad typological coverage. The knowledge base for entity linking annotation is available separately as LORELEI Entity Detection and Linking Knowledge Base (LDC2020T10)<https://catalog.ldc.upenn.edu/LDC2020T10>. 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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