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Call for workshop proposals for the 2027 conference cycle
by ACL Announcements 20 Jul '26

20 Jul '26

Joint Call for Workshops Proposals (EACL/COLING/NAACL/ACL/EMNLP) 2027 The Association for Computational Linguistics invites proposals for workshops to be held in conjunction with one of the following conferences: EACL 2027, COLING 2027, NAACL 2027, ACL 2027, or EMNLP 2027. We solicit proposals in all areas of computational linguistics, broadly conceived to include related disciplines such as linguistics, speech, information retrieval, and multimodal processing. Workshops will be held at one of the following conference venues: * EACL 2027 (The 20th Conference of the European Chapter of the Association for Computational Linguistics), which will be held as a hybrid conference, and physically held in Athens, Greece, from March 9-14, 2027. * COLING 2027 (The 32nd International Conference on Computational Linguistics), which will be held as a hybrid conference, and physically held in Macau, China, from May 9-14. * NAACL 2027 (The 2027 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics), which will be held as a hybrid conference, and physically held in San Francisco, USA, June 1-5, 2027. * ACL 2027 (The 65th Annual Meeting of the Association for Computational Linguistics), which will be held as a hybrid conference in the summer of 2027, physically held in Japan August 17-22. * EMNLP 2027 (The 2027 Conference on Empirical Methods in Natural Language Processing), which will be held as a hybrid conference, tentatively scheduled for early November 2027 and physically held in Mexico or Central America. The workshop and tutorial co-chairs will work together to assign workshops to the conferences. They will take into account location preferences and technical constraints provided by the workshop proposers. _This call is for all listed conferences occurring in 2027; unlike last year, there will not be a second call for workshops for this conference cycle._ IMPORTANT DATES ACL Conferences Workshop Proposals Shared Dates: Proposal submission deadline September 4th, 2026 Notification of acceptance October 2nd, 2026 All deadlines are 11:59PM UTC-12:00 ("anywhere on Earth"). SUBMISSION INFORMATION Proposals should be submitted as PDF documents. Note that submissions should be ready to be turned into a Call for Papers to the workshop within one week of notification. The proposals should be _at most two pages_ for the main proposal and at most two additional pages for information about the organizers, program committee, and references. Please use the LaTeX template [1] for your submission. _Failure to comply with these formatting guidelines, or to provide the listed information below, will result in a desk rejection of your proposal._ The two pages for the main proposal must include: * A title, short name / acronym, and a brief description of the workshop topic and content. * Some conferences might take place only or partially virtually. We request submissions to contain a brief discussion of planned measures to make sure a workshop is successful and productive in case of a hybrid or virtual-only attendance. * A description of special requirements and technical needs. * If the workshop has been held before, details on: how many prior editions occurred, where previous workshops were held, how many submissions the workshop received in the last iteration and how many papers were accepted (also specify if they were not regular papers, e.g., shared task system description papers), and an estimate of how many in-person attendees the workshop attracted. * Diversity and Inclusion Efforts (see more details below) * (Optional/If Known) A list of invited speakers, with an indication of which ones have already agreed and which are tentative, and sources of funding for the speakers. * (Optional) A description of any shared tasks associated with the workshop, and estimate of the number of participants. Having a shared task is optional. The submission form will request information that does not factor into the decision process, but are necessary for logistical reasons: * An estimate of the maximum number of attendees at one given time * Number of estimated in-person posters * Preferred Venue (first and second preference). Providing a second preferred venue is _optional_; while we will do our best to adhere to these preferences, we cannot guarantee that they will be satisfied. * Incompatible Venues. Please list any conferences that you will be unable to be co-located with for logistical reasons. _We will assume that any venue that is not listed here is a viable location for your workshop, and withdrawing based on venue will result in a one-year ban on all organizers from submitting workshop proposals._ * Duration of the workshop (1-day / 2-day workshop) Note that the only financial support available to workshops is a single free workshop registration for an invited speaker. The workshop organizers must bear all other costs independently, including registration for more than one invited speaker. The two pages for information about organizers, program committee, and references must include: * The names, affiliations, and email addresses of the organizers, with a brief statement (2-5 sentences) of their research interests, areas of expertise, and prior experience in organizing workshops and related events. * A list of Program Committee members, with an indication of which members have already agreed. Organizers should do their best to estimate the number of submissions (especially for recurring workshops) in order to (a) ensure a sufficient number of reviewers so that each paper receives 3 reviews, and (b) anticipate that no one is committed to reviewing more than 3 papers. This practice is likely to ensure on-time and thoughtful reviews. * An indication if the workshop will consider papers submitted through ACL Rolling Review (ARR); use OpenReview as a platform (both to take papers from ARR and for their own review); or whether the workshop will only use START as a platform, and will not use ARR. In making this choice, please pay careful attention to the ARR deadlines and conference notifications. * References Submission is electronic at the following link: https://softconf.com/p/acl-workshops2027/ If you are resubmitting a proposal from the previous call, please create a new submission to be considered in this review process. DIVERSITY AND INCLUSION The proposals should describe the ways your workshop will support diversity in NLP. We suggest organizers consider the following points, while developing the proposal: * Contribution to academic diversity: The proposals could explain how the subject matter of the workshop will contribute to the diversity of the field, e.g. use of multilingual data, indications of how the described methods scale up to various languages or domains, accessibility of resources, supporting underrepresented communities of NLP and so on. * Diversifying representation: Following the WiNLP [2] initiative, we recognize the current problems of demographic imbalance in the field. Therefore, we particularly encourage submissions including members of under-represented groups in computational linguistics. The proposals should describe how their selection of invited speakers, panelists, organizers, and program committee promotes diverse representation (for example, considering underrepresented demographics based on gender, ethnicity, nationality, and so on). We also suggest including speakers and panelists, who have not appeared as a keynote speaker or panelist in recent conferences. * Diversifying participation: The proposals could describe how the call-for-papers and outreach will encourage people from marginalized groups to attend and submit to the workshop. Some examples include providing mentoring, subsidies, coordinating with affinity groups, diversifying the selection of papers and so on. Please note that the conferences' D&I Chairs focus on supporting main conference participants, and supporting and sponsoring workshop participants is the responsibility of the individual workshops. ORGANIZER RESPONSIBILITIES The organizers of the accepted proposals will be responsible for publicizing and running the workshop, including reviewing submissions, producing the camera-ready workshop proceedings, organizing the meeting days, and playing their part to ensure that all participants are aware of ACL's anti-harassment policy. It is crucial that organizers commit to all deadlines. In particular, failure to produce the camera-ready proceedings on time will lead to the exclusion of the workshop from the unified proceedings and author indexes. Workshop organizers cannot accept submissions for publication that will be (or have been) published elsewhere, although they are free to set their own policies on simultaneous submission and review. However, it is worth noting that workshops may also accept non-archival submissions, such as findings papers, for presentation, which are allowed in this case. Since the conferences will occur at different times, the timelines for the submission and reviewing of workshop papers, and the preparation of camera-ready copies, will be different for each conference. Suggested timelines for each of the conferences are given below. The workshop organizers are free to deviate from the proposed schedule for all dates that are not marked as inflexible, though changes should be made in consultation with the relevant workshop chairs. In submitting a proposal, workshop chairs will be asked to agree to the workshop non-compliance policy [3]. All workshops must agree to this policy, which states that egregious cases of not living up to the responsibilities of running a workshop will be penalized by a 1-year ban on the organizers from submitting another workshop proposal. Workshop proposals for which all authors do not agree to this policy will be desk-rejected. The ACL has a set of policies on workshops. You can find the ACL's general policies on workshops, the financial policy for workshops, and the financial policy for SIG workshops in the Conference Handbook [4]. Review Process Workshop proposals will be holistically reviewed by a committee of workshop chairs and the ACL workshop officers based on: their originality and impact, the experience of the Organizing and Program Committees, and adherence of the workshop proposal to ACL's code of ethics, including a discussion of the ethical considerations for the workshop topic if relevant. In addition to the proposals themselves, acceptance decisions will take into account the diversity of accepted topics, particularly in areas underrepresented in main conference spaces, to ensure a well-balanced and relevant workshop program. A well-written proposal can be rejected if it does not bring a new perspective to the workshop program, and we may merge workshops that propose similar programs. This committee will also allocate workshops to the conferences included in the call, taking into account the location preferences and technical constraints given in the workshop proposal. However, the aim of the review process is to accept as many high-quality, diverse workshops as possible. Given space limitations at conference venues and the increasing number of workshop proposals, the review committee can not guarantee that a proposal will be co-located with their preferred venue in lieu of extenuating circumstances. TENTATIVE WORKSHOP TIMELINES EACL 2027 (Athens, Greece) First call for workshop papers October 13, 2026 Second call for workshop papers November 13, 2026 Direct paper submission deadline December 15, 2026 Pre-reviewed ARR commitment deadline December 22, 2026 Notification of acceptance January 5, 2027 Camera-ready paper due January 19, 2027 Proceedings due (hard deadline) February 9, 2027 Pre-recorded video due (hard deadline) February 12, 2027 Conference dates March 9-14, 2027 COLING 2027 (Macau, China) First call for workshop papers November 21, 2026 Second call for workshop papers December 21, 2026 Direct paper submission deadline January 5, 2027 Pre-reviewed ARR commitment deadline TBA Notification of acceptance February 6, 2027 Camera-ready paper due March 5, 2027 Proceedings due (hard deadline) April 5, 2027 Pre-recorded video due (hard deadline) April 15, 2027 Conference dates May 9-14, 2027 NAACL 2027 (San Francisco, USA) First call for workshop papers October 26, 2026 Second call for workshop papers November 23, 2026 Third call for workshop papers (Optional) January 4, 2027 Direct paper submission deadline February 5, 2027 Pre-reviewed ARR commitment deadline March 12, 2027 Notification of acceptance March 26, 2027 Camera-ready paper due April 16, 2027 Proceedings due (hard deadline; tentative) May 7, 2027 Pre-recorded video due (hard deadline; tentative) May 14, 2027 Conference dates June 1-June 5, 2027 ACL 2027 (Kyoto, Japan) - all dates To Be Confirmed (TBC) First call for workshop papers December 6, 2026 Second call for workshop papers January 17, 2027 Third call for workshop papers (Optional) March 13, 2027 Direct paper submission deadline April 25, 2027 Pre-reviewed ARR commitment deadline April, 2027 TBC Notification of acceptance May 22, 2027 Camera-ready paper due June 12, 2027 Proceedings due (hard deadline; TBC) July 3, 2027 Pre-recorded video due (hard deadline; TBC) July 18, 2027 Conference dates August 17-22, 2027 Workshop dates August 21-22, 2027 EMNLP 2027 (TBA) Conference dates TBA WORKSHOP CHAIRS EACL * Elena Cabrio (Université Côte d'Azur) * Rico Sennrich (University of Zurich) * Jörg Tiedemann (University of Helsinki) COLING * Nikhil Krishnaswamy (Colorado State University) * Xin Zhao (Renmin University) NAACL * Jeremy Gwinnup (Air Force Research Laboratory) * Manling Li (Northwestern University) * Freda Shi (University of Waterloo; Vector Institute) ACL * Naomi Saphra (Boston University) * Karin Verspoor (RMIT University, Australia) * Zhongyu Wei (Fudan University) EMNLP * TBA ACL WORKSHOP OFFICERS * Terra Blevins, Northeastern University * Zeerak Talat, University of Edinburgh Links: ------ [1] https://www.overleaf.com/read/ytktkdvzgshk [2] http://www.winlp.org/winlp-2020-workshop/ [3] https://docs.google.com/document/u/0/d/1hhocb0fXBBJhqJHoOfZtx1V1kcTATpA4IMU… [4] http://aclweb.org/adminwiki/index.php?title=Conference_Handbook

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ERC Project TENACITY: 2 PhDs and 1 postdoc (KU Leuven, Belgium)
by tim.vandecruys＠kuleuven.be 20 Jul '26

20 Jul '26

We are recruiting two PhD researchers and one postdoc for TENACITY, an ERC Consolidator project on creative language generation. Full details and application: PhD: Constraint-Based Neural Language Models for Creative Language Generation https://www.kuleuven.be/personeel/jobsite/jobs/60705337 PhD: Tensor Factorization Models for Creative Language Generation https://www.kuleuven.be/personeel/jobsite/jobs/60705413 Postdoctoral Position: Latent Variable Models for Creative Language Generation https://www.kuleuven.be/personeel/jobsite/jobs/60705453

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Lectureship in English Language - University of Leeds
by Eric Atwell 19 Jul '26

19 Jul '26

University of Leeds UK Lectureship in English Language - AHCEN1087 Closing date: 31 Jul 2026 Grade: Grade 7 to Grade 8 - £41,064 to £59,966 per year https://jobs.leeds.ac.uk/AHCEN1087 We wish to appoint an outstanding teacher and scholar with a background in digital humanities-enabled English Language research. This might include but is not limited to: corpus linguistics and text analysis, computational linguistics, artificial intelligence, digital/interactive media, forensic linguistics, or sociolinguistic approaches. For further information, please contact: Professor Hazel Hutchison, Head of School Email: H.Hutchison(a)leeds.ac.uk <mailto:H.Hutchison@leeds.ac.uk%20>

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Recruitment of Research Annotator - AddressHate
by kglanz＠addresshate.org 17 Jul '26

17 Jul '26

Job Location: New York City, USA Web Address: https://www.addresshate.org/ Job Title: Research Annotator Job Rank: Other Specialty Areas: Computational Linguistics; General Linguistics; Lexicography; Sociolinguistics; Text/Corpus Linguistics Specialty Language(s): English (eng, stan1293) English based Description: Research Annotator AddressHate · Part-time · US-based (Eastern Time preferred; NYC-based ideal) About AddressHate: Hate speech online is growing faster than any organization can track by hand. AddressHate is building the tools to change that. We are a public interest technology company at the intersection of research, AI, and policy. We build detection infrastructure and intelligence tools that help platforms, policymakers, educators, civil society organizations, and real people understand and counter digital hate in real time. There is no good solution in the for-profit world for this problem, so we are building it. Our mission and the business are the same thing: the better we get at detecting hate, the more valuable our tools become to the world. The Opportunity: AddressHate is hiring Research Annotators to support our core mission: building detection infrastructure that identifies how hate circulates, adapts, and normalizes in digital environments. This is a direct hire position with AddressHate. All work product — including annotated datasets, analytical memos, and contributions to coding schemes — is owned by AddressHate. We’re looking for annotators with high sensitivity to the layered, implicit, and multimodal forms hate takes online — particularly where meaning is carried through irony, coding, visual reference, intertextual play, and shifting register across platforms. Rather than mechanical tagging, the position requires theory-informed interpretive work that feeds directly into AddressHate’s annotation pipeline and classifier development. Our work demonstrates that a large portion of hate content in mainstream digital spaces operates through implicit, coded, or multimodal forms — spread through irony, political framing, and shared references that are largely undetectable by automated systems. Understanding this requires human expertise grounded in linguistics, multimodal analysis, and discourse studies. The role is US-based (Eastern Time preferred; NYC-based ideal) and reports into AddressHate’s research and technology teams. Core Responsibilities: - Conduct continuous, systematic annotation of social media content across platforms including TikTok, X, Instagram, and Reddit - Analyze textual, visual, and multimodal content, including memes, image–text combinations, and visual rhetoric - Identify implicit meanings, indirect references, metaphors, narrative frames, and visual-symbolic cues - Identify shared rhetorical and discursive mechanisms across hate domains — including dehumanization, conspiracy narratives, victim–perpetrator reversal, moral inversion, and normalization strategies - Analyze intersecting and overlapping hate discourses, including cases where antisemitism, misogyny, and racism co-occur or mutually reinforce one another - Distinguish between legitimate political expression and harmful discourse, with close attention to context, pragmatics, and discursive positioning - Participate in regular team meetings and inter-annotator calibration sessions - Contribute to the iterative refinement of AddressHate’s coding schemes, category definitions, and annotation guidelines - Work closely with AddressHate’s data science team, translating qualitative insights into structured input for computational analysis - Produce analytical memos and structured documentation that make interpretive decisions transparent and reproducible What We’re Looking For: - MA or PhD student (or completed degree) in Linguistics, Discourse Studies, Semiotics, Visual Studies, Media Studies, Hate Studies, History, Political Science, or related field. Candidates with a background in linguistics and multimodal/visual analysis are particularly valued. - Demonstrated experience with qualitative content analysis, discourse-analytical methods, and mixed methods research - High awareness of the different layers of hate speech and digital hate — including implicit, coded, ambiguous, and context-dependent forms in both text and imagery - Native or near-native English proficiency with strong language sensitivity - Fluency with contemporary social media platforms, particularly TikTok, X, Instagram, and Reddit - Openness and resilience to engage with hate speech content, including antisemitism, different forms of racism, and misogyny - High motivation and capacity for autonomous work. The role involves sustained, continuous engagement with difficult online content. Strong candidates structure their time independently and maintain rigor and momentum across long annotation cycles. - Curiosity and flexibility. AddressHate’s annotation work is a collaborative environment where coding schemes evolve, new platforms enter the pipeline, and analytical questions sharpen over time. Strongly Preferred: - Research experience across more than one hate ideology — antisemitism, misogyny and gender-based hate, anti-Black racism, anti-Asian racism, or intersectional hate research. We particularly value candidates who can think comparatively across domains rather than specialists in only one. - Experience with multimodal analysis (memes, visual rhetoric, image–text relations) - Experience with MAXQDA or comparable qualitative analysis software - Strong written documentation skills - Based in or near New York City Why Now: By the time hate’s effects are visible in the world, the discourse that produced it has long since moved on. AddressHate is building the infrastructure to see it as it happens — and to understand what it means. The analytical tools we develop inform education, policy, and platform governance. This role sits at the center of that work. Terms: 20–30 hours per week · $25 USD per hour · Hired directly by AddressHate To Apply: Send your CV, a short statement of interest, and one writing sample (academic or analytical) to careers(a)addresshate.org Application Deadline: 31-Oct-2026 Mailing Address for Applications: 152 W 57th St 21st Floor, New York City, New York USA Email Address for Applications: careers(a)addresshate.org Web Address for Applications: https://www.addresshate.org/ Contact Information: Email: careers(a)addresshate.org

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Final Call for Papers – DDS 2026 at ISWC in Bari, Italy
by Pasquale Lisena 17 Jul '26

17 Jul '26

Dear colleagues, This is the final call for papers for the Data-driven Storytelling: Bridging Semantics, AI, and Narrative (DDS 2026) workshop, co-located with ISWC 2026 in Bari, Italy. We invite researchers and practitioners in knowledge graphs, NLP, HCI, and generative AI to submit their work exploring how semantic technologies can enhance narrative creation and engagement. Extended Submission Deadlines Abstracts: July 24, 2026 (23:59 AoE) Full papers: July 30, 2026 (23:59 AoE) Key Dates Notifications: August 21, 2026 Camera-ready Version: September 18, 2026 Workshop Dates: October 25–26, 2026 Topics of Interest We welcome submissions of research papers, demos, and short papers addressing: Knowledge graphs and ontologies for storytelling AI-driven narrative generation (LLMs, GenAI) Benchmarking narrative quality and coherence Interactive and participatory storytelling tools Ethics and explainability in automated storytelling Don’t miss the opportunity to share your work in Bari! Website and submission: https://data-driven-storytelling-workshop.replit.app/ We look forward to your contributions! Best regards, The DDS 2026 Organizing Committee -- Pasquale Lisena EURECOM, Campus SophiaTech 450 route des Chappes, 06410 Biot, France e-mail: pasquale.lisena(a)eurecom.fr site: http://pasqlisena.github.io/

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Third CfP: 13th Web-as-Corpus (WaC-13) Workshop @EMNLP2026, Budapest, Hungary, 29 Oct, 2026
by Veronika Laippala 17 Jul '26

17 Jul '26

Third Call for Papers 13th Web-as-Corpus (WaC-13) Workshop @EMNLP2026, Budapest, Hungary, 29 Oct, 2026 https://wackyworkshop.org The World Wide Web has evolved from a resource for building linguistic corpora into the central data infrastructure powering modern natural language processing and Large Language Models (LLMs). As web-scale data increasingly shapes AI systems’ knowledge and capabilities, understanding its quality, representativeness, and ethical implications has become critical. At the same time, the “more is better” paradigm is being challenged by issues such as machine-generated content, data toxicity, limited metadata, and the under-representation of many languages and domains. These challenges call for a shift toward Data-Centric AI, focusing on the curation, analysis, and responsible use of web-derived data. The 13th Web-as-Corpus (WaC-13) workshop provides a multidisciplinary forum for research addressing the full lifecycle of web data. We invite submissions on methods, resources, and applications related to web corpora, with special emphasis on multilingual data and less-resourced languages. Topics of interest include (but are not limited to): * Creation and evaluation of high-quality datasets for foundation models (e.g., data collection, filtering, enrichment, language identification) * Use of web data in empirical linguistic research * Analysis of web-scale corpora for quality, representativeness, and societal insights * Ethical and legal aspects of collecting, sharing, and using web data By bringing together researchers from NLP, linguistics, and the social sciences, WaC aims to advance best practices for one of the field’s most influential data sources. Important dates Direct paper submission deadline 7 August, 2026 Pre-reviewed ARR commitment deadline 1 September, 2026 Notification of acceptance 5 September, 2026 Camera-ready paper due 20 September, 2026 Workshop date 29 Oct, 2026 Submissions Submit your papers through https://openreview.net/group?id=EMNLP/2026/Workshop/WaC-13 (both archival and non-archival option available) or through ARR commitment https://openreview.net/group?id=EMNLP/2026/Workshop/WaC-13_ARR_Commitment. Workshop Organizers Nikola Ljubešić, Jožef Stefan Institute, Slovenia Yves Scherrer, University of Oslo, Norway Laurie Burchell, Common Crawl Foundation Veronika Laippala, University of Turku, Finland Pedro Ortiz Suarez, Common Crawl Foundation Thom Vaughan, Common Crawl Foundation Vuk Dinić, Jožef Stefan Institute, Slovenia

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[Second CFP] WASP 2026: 4th Workshop on Artificial Intelligence for Scientific Publications @AACL-IJCNLP 2026
by ACL Announcements 16 Jul '26

16 Jul '26

==================================================================== SECOND CALL FOR PAPERS The 4th Workshop on Artificial Intelligence for Scientific Publications (WASP 2026) Co-located with IJCNLP-AACL 2026 November 9, 2026, Online Website: https://ui.adsabs.harvard.edu/WIESP/2026/ [1] Submissions (OpenReview): https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP [2] ==================================================================== OVERVIEW The scientific literature now grows faster than anyone can read it. The claims, evidence, named entities, relations, and citations that researchers rely on remain in unstructured text rather than in any form a machine can use directly. Turning that text into structured, machine-readable knowledge is a central problem in NLP, and many of the questions it raises remain open. WASP 2026 brings together researchers working to extract, structure, and mine knowledge from scholarly publications. As large language models reshape how scientific text is parsed, mined, and synthesized, this iteration keeps information extraction at its center while broadening to the full pipeline that turns publications into usable knowledge, from summarization and retrieval to evaluation and the responsible use of LLMs in scientific publishing. WASP continues a series that began as the Workshop on Information Extraction from Scientific Publications (WIESP) at AACL-IJCNLP 2022 and IJCNLP-AACL 2023, and grew into WASP at IJCNLP-AACL 2025. TOPICS OF INTEREST (not limited to) - Scientific document parsing and structured information extraction; citation context/span extraction and citation-based knowledge mining - Scientific named-entity recognition and concept identification - Scientific literature quality assessment and automated peer review assistance - Argument extraction and scientific discourse analysis - Scientific article summarisation and headline generation - Question-answering and fact retrieval from scientific literature - Pretraining and fine-tuning LLMs on scientific corpora - Evaluation and alignment of LLMs for scientific understanding - AI-assisted scientific discovery and hypothesis generation - Cross-lingual scientific knowledge transfer and multilingual publication processing - Scientific trend analysis and research gap identification - Reproducibility and replicability analysis in scientific publications - Ethical and responsible use of LLMs in scientific publishing - Automated metadata generation and semantic tagging of scientific publications - Scientific plagiarism detection and research integrity monitoring - Scientific collaboration network analysis and co-authorship prediction - Automated scientific writing assistance and manuscript generation - Scientific image and figure analysis in publications SUBMISSION Long papers: up to 8 pages of content (9 in the camera-ready), plus unlimited references. Short papers: up to 4 pages of content (5 in the camera-ready), plus unlimited references. All submissions are double-blind and must follow the host venue formatting guidelines and ACL template files. We follow AACL-IJCNLP 2026 policies on anonymity, preprints, and double submissions. Accepted papers will appear in the WASP 2026 proceedings in the ACL Anthology. Submit via OpenReview: https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP [2] SHARED TASK WASP 2026 will host a shared task. Details and a separate call for papers will be announced soon. System description papers will undergo light peer review and appear in the proceedings. IMPORTANT DATES (Anywhere on Earth) * Paper submission deadline (WASP): September 14, 2026 * Registration deadline for shared task: [TBA] * System Run and Output Submission (shared task): [TBA] * System Paper Submission (shared task): [TBA] * Notification of acceptance (WASP + Shared Task): October 1, 2026 * Camera-ready deadline (WASP + Shared Task): October 12, 2026 * Workshop: November 9, 2026 ORGANIZERS - Atilla Kaan Alkan, Center for Astrophysics | Harvard & Smithsonian, USA - Alberto Accomazzi, Center for Astrophysics | Harvard & Smithsonian, USA - Tirthankar Ghosal, Oak Ridge National Laboratory, USA - Felix Grezes, Center for Astrophysics | Harvard & Smithsonian, USA - Kelly Lockhart, Center for Astrophysics | Harvard & Smithsonian, USA CONTACT For inquiries: Atilla Kaan Alkan, atilla.alkan(a)cfa.harvard.edu We look forward to your contributions. Links: ------ [1] https://ui.adsabs.harvard.edu/WIESP/2026/ [2] https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP

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[CFP:Survey] Survey on Knowledge Graph enrichment
by Oğuzhan MENEMENCİOĞLU 16 Jul '26

16 Jul '26

Apologies for cross-posting. Dear Colleague, We kindly invite you to share your experience on knowledge graph enrichment by completing this survey: <https://forms.gle/tyW9M42nQc8fciLV6> https://forms.gle/tyW9M42nQc8fciLV6 We are especially interested in the meaning and boundaries of the KG enrichment task, best practices and pitfalls, and suggested methods for KG enrichment. Form completion can take 5 to 10 minutes. Your insights will contribute to a public deliverable on best practices and practical guidelines for KG enrichment. We appreciate your time and input. Please feel free to forward this invitation to your colleagues. Best regards, the Chairs of <https://goblin-cost.eu/working-group-1-knowledge-graphs-engineering/> GOBLIN Task 1.4<https://goblin-cost.eu/working-group-1-knowledge-graphs-engineering/> Dr. Oğuzhan MENEMENCİOĞLU ---------------------------------------------------------------------------------- http://oguzhan.menemencioglu.info<http://oguzhan.menemencioglu.info/> Assistant Professor Karabük University, Department of Computer Engineering, Office 159, Iron and Steel Campus, 78050, Karabük, Turkey.

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July 2026 Newsletter - LDC
by Penn LDC 15 Jul '26

15 Jul '26

In this newsletter: Fall 2026 LDC data scholarship program New publications: 2012 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2026S09> CALLHOME American English Second Edition<https://catalog.ldc.upenn.edu/LDC2026S08> CALLHOME American English Lexicon (PRONLEX) Second Edition<https://catalog.ldc.upenn.edu/LDC2026L05> ________________________________ Fall 2026 LDC data scholarship program Student applications for the Fall 2026 LDC data scholarship program are being accepted now through September 15, 2026. This program provides eligible students with no-cost access to LDC data. Students must complete an application consisting of a data use proposal and letter of support from their advisor. For application requirements and program rules, visit the LDC Data Scholarships<https://www.ldc.upenn.edu/language-resources/data/data-scholarships> page. ________________________________ New publications: 2012 NIST Speaker Recognition Evaluation Test Set<https://catalog.ldc.upenn.edu/LDC2026S09> was developed by LDC and NIST and contains 10,321 hours of English conversational telephone speech and in-person recorded studio sessions for evaluation and modeling, along with answer keys, trial files, and documentation from the NIST-sponsored 2012 Speaker Recognition Evaluation (SRE12)<https://www.nist.gov/itl/iad/mltg/speaker-recognition-evaluation-2012>. SRE12 introduced a revised evaluation structure in which training data for target speakers was drawn from prior SRE corpora developed by LDC and was provided in advance of the evaluation period. Test data was drawn from Mixer 7 English Speech (LDC2025S08)<https://catalog.ldc.upenn.edu/LDC2025S08> and REMIX Telephone Collection (LDC2023S09)<https://catalog.ldc.upenn.edu/LDC2023S09>. Those datasets also provided segments for modeling data; other modeling segments were drawn from Mixer 3 Speech (LDC2023S02)<https://catalog.ldc.upenn.edu/LDC2023S02>, Mixer 4 and 5 Speech (LDC2020S03)<https://catalog.ldc.upenn.edu/LDC2020S03>, and Mixer 6 Speech (LDC2013S03)<https://catalog.ldc.upenn.edu/LDC2013S03>. The test data contains English speech only; some non-English speech is contained in modeling segments. This release is comprised of 130,844 test segments, specifically, 83,778 call segments and 47,066 interview segments. Modeling data consists of 46,948 segments. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * CALLHOME American English Second Edition<https://catalog.ldc.upenn.edu/LDC2026S08> was developed by LDC and contains 56 hours of speech from 120 unscripted telephone conversations between native American English speakers. This publication is a re-release of the original CALLHOME American English collection, combining CALLHOME American English Speech (LDC97S42)<https://catalog.ldc.upenn.edu/LDC97S42> and CALLHOME American English Transcripts (LDC97T14)<https://catalog.ldc.upenn.edu/LDC97T14>, with additional transcription and updated directory structure, file formats, and documentation. This release contains the 120 telephone conversations published in CALLHOME American English Speech which represented training and development data and a subset of evaluation data. Participants spoke on topics of their choice in a single telephone call lasting up to 30 minutes. Calls were manually audited for gender, language, recording quality, channel characteristics, dialect, and region. For this second edition, all audio was converted from SPHERE files to FLAC format, and the original training/development/evaluation partitioning was removed. This release also features revised transcripts conforming to updated LDC transcription guidelines that addressed normalization of annotation formats, standardization of speaker-produced and background noises, application of foreign-language marking, whitespace cleanup, and corrections and consistency fixes. The CALLHOME series consists of telephone conversations and transcripts developed by LDC and Rutgers, The State University of New Jersey, in support of research in speaker identification, language identification, and related technologies. Languages in the series include American English, Egyptian Arabic, German, Japanese, Mandarin Chinese, and Spanish. 2026 members can access this corpus through their LDC accounts. Non-members may license this data for a fee. * CALLHOME American English Lexicon (PRONLEX) Second Edition<https://catalog.ldc.upenn.edu/LDC2026L05> was developed by LDC and contains 90,988 English words with citation-form pronunciations. This second edition updates file formats, directory structure, and documentation. The first edition is available as CALLHOME American English Lexicon (PRONLEX) (LDC97L20)<https://catalog.ldc.upenn.edu/LDC97L20>. The words in the lexicon were derived from Wall Street Journal text used in the continuous speech recognition publication series CSR-1 WSJ0 Complete (LDC93S6A<https://catalog.ldc.upenn.edu/LDC93S6A>), transcripts<https://isip.piconepress.com/projects/switchboard/> from the Switchboard telephone collection (LDC97S62)<https://catalog.ldc.upenn.edu/LDC97S62>, and transcripts representing unscripted telephone conversations between native American English speakers contained in CALLHOME American English Second Edition (LDC2026S08)<https://catalog.ldc.upenn.edu/LDC2026S08>. PRONLEX transcription is a phonemic transcription system designed to support speech recognition by providing a consistent and simplified representation of how words are pronounced in standard American English that allows variation to be generated later to avoid listing many pronunciation variations for each word. This single systematic base form can be expanded through rules or modeling. The transcription was created using a modified ARPABET phoneme set<https://learnius.com/slp/3+Speech+Production%2C+Perception+and+Phonetics/4+…>. The lexicon contains three tab-separated information fields: (1) word: orthographic representation of word; (2) pron: transcribed citation-form pronunciations using modified ARPABET phoneme set; and (3) comments: (OPTIONAL) comment on the entry. It is presented as a tab-delimited TSV file encoded in UTF-8 format and includes a pronunciation dictionary derived from the lexicon in UTF-8 encoded CMUdict<https://stdlib.io/docs/api/latest/@stdlib/datasets/cmudict> format. 2026 members can access this corpus through their LDC accounts provided they have submitted a completed copy of the special license agreement. 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] Deadline Reminder - NL4AI @ AIxIA 2026 - 9th Workshop on Natural Language for Artificial Intelligence | 6-9 October 2026, Perugia, Italy
by Elisa Leonardelli 15 Jul '26

15 Jul '26

[Apologies for Cross Posting] ═══════════════════════════════════════════════════════════ NL4AI 2026 – 9th Workshop on Natural Language for Artificial Intelligence, at the 24th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026) 6–9 October 2026 | Perugia, Italy ═══════════════════════════════════════════════════════════ Website: http://sag.art.uniroma2.it/NL4AI/ Contact Email: nl4ai2026(a)gmail.com ── IMPORTANT DATES ────────────────── [EXTENDED] Paper Submission deadline: 24 July 2026, 23:59 AoE (Firm Deadline)🚨 Notification to authors: 19 August 2026 Camera-ready due: 26 August 2026 Workshop Dates: 6–9 October 2026 ──────────────────────────────────── We invite submissions to NL4AI 2026, the Ninth Workshop on Natural Language for Artificial Intelligence, to be held in Perugia from the 6th to the 9th of October 2026, within the 24th International Conference of the Italian Association for Artificial Intelligence (AIxIA 2026), and supported by AILC (http://www.ai-lc.it/). The goal of NL4AI is to explore the role of Computational Linguistics and Natural Language Processing in Artificial Intelligence applications. We believe that new technological challenges and opportunities arise at the boundary between NLP and AI. On the one hand, AI applications benefit from a deeper understanding of problems related to Natural Language, and thus the integration of advanced NLP techniques. On the other hand, NLP benefits greatly from being used in wider areas of AI where problems and methodologies related to NL can be evaluated in new contexts. TOPICS OF INTEREST - Topics include but are not limited to: - NLP and AI Applications (health, legal domain, social media and journalism, etc.) - Natural Language Interfaces for Human Robot Interaction - Resources, Benchmarks, and Evaluation - Discourse and Pragmatics - Semantics - Natural Language Generation - Creativity, Style, and Narrative Generation - Summarization - Information Extraction in AI Applications - Machine Learning for NLP - LLMs, Foundation Models and Applications - Interpretability, Explainability and Analysis of Models for NLP - Natural Language Inference - Question Answering and Reading Comprehension - Sentiment Analysis, Opinion Mining, and Argumentation - Abusive Language Detection and Analysis - NLP for Fact Checking, Fake News Detection and Analysis - Conversational Agents in Human-Computer Interaction - Speech and Spoken Language Processing - Language and other Multimodality - Multimodal (text-image) data sources - Machine Translation and Multilinguality - Low-Resource NLP and Linguistic Diversity - Cognitive Modeling and Psycholinguistics - Computational Historical Linguistics, Social Science, and Cultural Analytics - Ethics, Fairness, and Societal Impacts of NLP - NLP and Industrial Challenges - Accepted papers will be published in the workshop proceedings via CEUR Workshop Proceedings. Depending on the number and quality of papers received, we will consider proposing a special issue in relevant journals. The Program Committee will select the Best Workshop Paper from the accepted papers. SUBMISSIONS We encourage original submissions that describe new theoretical models, applied techniques, and research in progress. Substantial extensions to works already published or presented in other locations are welcome as well. We invite two kinds of submissions: - Short/Demo Paper. Maximum length of 6 pages + up to 2 pages of Acknowledgements/Declaration on Generative AI/References - Regular Papers. Maximum length of 12 pages + up to 2 pages of references Acknowledgements/Declaration on Generative AI/References. Please note that papers with less than 25000 characters will be considered short papers in the CEUR proceedings. Submissions Evaluation. Submissions will be peer-reviewed (single-blind) by the program committee members. Evaluation criteria will include novelty, significance for theory/practice, technical soundness, and quality of presentation. Note that reviewers will not be required to evaluate appendices providing a review of the papers. Appendices are intended for including details for reproducibility and/or additional results. How to Submit. Proceedings shall be submitted to CEUR-WS.org <http://ceur-ws.org/> for online publication and all papers must follow the 2022 CEUR-ART - 1 Column paper style. The LaTeX template can be downloaded as source file from the NL4AI website <http://sag.art.uniroma2.it/NL4AI/wp-content/uploads/2026/05/CEURART-NL4AI-2…> or accessed as a Template in Overleaf <https://it.overleaf.com/read/cfvwgnqpvpys%23a7a014>. All the papers should be submitted via EasyChair: https://easychair.org/conferences/?conf=nl4ai2026 Note: All submissions must be compatible with CEUR (https://ceur-ws.org/) and include the CEUR Declaration on Generative AI section ( https://ceur-ws.org/GenAI/Policy.html). Papers missing this section will be desk rejected. WORKSHOP ORGANIZERS Alessandro Bondielli (University of Pisa) Giovanni Bonetta (Fondazione Bruno Kessler) Elisa Leonardelli (Fondazione Bruno Kessler) Irene Siragusa (University of Palermo) We look forward to seeing you in Perugia! The NL4AI 2026 Workshop Organizers -- -- 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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