December 2025 - Corpora

CFP: 3rd Int. Workshop on Natural Scientific Language Processing (NSLP) 2026
by Georg Rehm 11 Dec '25

11 Dec '25

3rd International Workshop on Natural Scientific Language Processing (NSLP 2026) 12 May 2026 – Co-located with LREC 2026 Palma, Mallorca (Spain) NSLP 2026 features three shared tasks: * ClimateCheck 2026: Scientific Fact-Checking of Social Media Claims * SciVQA 2026: Scientific Visual Question Answering * SOMD 2026: Software Mention Detection & Coreference Resolution NSLP 2026 – important dates: * Submission deadline: 20 February 2026 * Notifications: 13 March 2026 * Camera-ready: 30 March 2026 NSLP 2026 website (including the shared tasks): https://nfdi4ds.github.io/nslp2026 Scientific research has witnessed a steep growth rate over the last decades. The number of scholarly publications is growing exponentially, and doubles every 15-17 years. Consequently, both general and specialised repositories, databases, knowledge graphs, and digital libraries have been developed to publish and manage scientific artifacts. Examples include the Open Research Knowledge Graph (ORKG), the Semantic Scholar Academic Graph (S2AG), PubMed Central and also the ACL Anthology. These resources enable the collection, reuse, tracking, and expansion of scientific findings, and facilitate downstream applications such as scientific search engines. However, in order to develop robust systems that deal with scholarly text, various challenges need to be addressed. The current status quo of scientific communication mostly includes scholarly articles as unstructured PDF documents, which are not machine-readable in the sense that relevant scientific information can be extracted easily, thus making extracting and utilising this information as part of the scientific process a laborious and time-consuming task. Developing methods for converting unstructured information into structured formats is one of the major challenges in the field of Natural Scientific Language Processing (NSLP). This goal encompasses related challenges such as detecting, disambiguating, and linking mentions of scientific artifacts (e.g., software tools or specific datasets or language resources), and tracking state-of-the-art models and their evaluation scores (including new versions of existing models). Extracting and managing heterogeneous scientific knowledge effectively remains a challenging ongoing research area. Existing efforts are often fragmented, addressing separate issues with distinct datasets and conceptual approaches. NSLP 2026 addresses current topics and issues in Natural Scientific Language Processing. It is proposed and organised with the support of NFDI for Data Science and Artificial Intelligence (NFDI4DS), a long-term project with approx. 20 partners who work towards building a German national research data infrastructure for DS and AI. The workshop aims to further bring together the international community of researchers who work on NSLP and related topics (including research knowledge graphs), to discuss current issues and possible solutions. NSLP 2026 includes two keynote speakers and presentations of accepted papers (oral and poster presentations), as well as three shared tasks. Topics of interest include, but are not limited to * Scientific LLMs – LLMs for NSLP * Language resources (LRs) and Language technologies (LTs) for NSLP beyond LLMs * Research Knowledge Graphs (RKGs), Scientific Knowledge Graphs (SKGs) and other forms of structured representation of research-related knowledge * Information extraction from scholarly articles * Extraction of research information from texts * Detection and disambiguation of mentions of datasets, tasks, software or other methods * Classification of scholarly articles (collections, single documents, parts of documents) * Information extraction for RKGs * Summarisation of scholarly articles * Scholarly IR and scientific search engines * Question answering over scientific knowledge * Metadata and cataloging * Cross-lingual and multilingual natural scientific language processing * Adaptation of NLP methods for NSLP purposes Important Dates * Paper submission deadline: 20 February 2026 (not to be extended) * Notification of acceptance: 13 March 2026 * Camera-ready submission: 30 March 2026 * Workshop: 12 May 2026 Submission Guidelines The NSLP 2026 workshop invites submissions of: regular long papers; short papers; position papers. We especially encourage submissions from junior researchers and students from diverse backgrounds. * Note that we will not accept work that is under review or has already been published in or accepted for publication in a journal, another conference, or another workshop. * The workshop invites anonymous submissions of regular long papers (up to 8 pages without references and appendix); short papers as well as position papers (up to 4 pages without references and appendix) presenting, for example, negative results, in-progress projects, or demos. * Authors are permitted to include an optional appendix of up to 2 pages. However, reviewers will not be mandated to review the appendix and all papers must be self-contained. * Reviewing will be performed double-blind, i.e., submissions must be anonymous. Reviewers will not actively try to identify the authors. * Submissions must be in PDF, formatted in the LREC 2026 style. * The proceedings of this workshop will be published in the ACL Anthology (full Open Access) as part of the LREC 2026 proceedings. * At least one author per contribution must register for the workshop for presentation. * All submissions are done via START (Softconf) – link to be provided soon. When submitting a paper through START, the authors will be asked to provide essential information about resources (in a broad sense, i.e., also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Keynote Speakers * Iryna Gurevych, TU Darmstadt, Germany * Yufang Hou, ITU Austria, Austria Shared Tasks ClimateCheck 2026: Scientific Fact-Checking of Social Media Claims The rise of climate discourse on social media offers new channels for public engagement but also amplifies mis- and disinformation. As online platforms increasingly shape public understanding of science, tools that ground claims in trustworthy, peer-reviewed evidence are necessary. The new iteration of ClimateCheck builds on the results and insights from the 2025 iteration (run at SDP 2025/ACL 2025), offering the following subtasks: Subtask 1: Abstract retrieval and claim verification: given a claim and corpus of publications, retrieve the top 10 most relevant abstracts and classify each claim-abstract pair as supports, refutes, or not enough information. Subtask 2: Disinformation narrative classification: given a claim, predict which climate disinformation narrative exists according to a predefined taxonomy. New training data will be released for both tasks, with task 1 having triple the amount of the last iteration. The new iteration will focus on sustainability, emphasising the need to build climate-friendly NLP systems with minimal environmental impact. Shared task co-organisers: Raia Abu Ahmad, Aida Usmanova, Max Upravitelev, Georg Rehm SciVQA 2026: Scientific Visual Question Answering Scientific papers communicate information through unstructured text as well as (semi-)structured figures and tables. Jointly reasoning over both modalities benefits downstream applications such as visual question answering (VQA). SciVQA 2026 builds on the insights from SciVQA 2025 (run at SDP 2025/ACL 2025), shifting the focus toward evaluating the ability of multimodal LLMs to reason over combined modalities (figures, tables, text). SciVQA 2026 will include a new set of papers and entirely new annotations, featuring two subtasks: Subtask 1: Context retrieval: Given a question, a paper, and its corpus of paragraphs and images, retrieve the relevant context (tables, figures, paragraphs from the main text) required to answer it. Subtask 2: Answer generation: Given a question and the context retrieved from the first task, generate an answer. Shared task co-organisers: Ekaterina Borisova, Georg Rehm SOMD 2026: Software Mention Detection & Coreference Resolution Understanding software mentions is crucial for reproducibility and to interpret experimental results. Citations of software are often informal, lacking the use of persistent identifiers, making it hard to infer and disambiguate knowledge about software efficiently. This task will build on SOMD 2025 (run at SDP 2025, co-located with ACL 2025) and focus on entity disambiguation as an under-investigated problem in this context. More precisely, we address the task of coreference resolution of software mentions across multiple documents, i.e. given a set of software mentions extracted from multiple scientific publications, cluster these mentions so that all software mentions in a particular cluster refer to the same real world software. We define three subtasks with varying challenges: Subtask 1: Software coreference resolution over gold standard mentions. Addresses the task based on high-quality (gold standard) mentions of software that are expert-annotated in multiple publications. Subtask 2: Software coreference resolution over predicted mentions. Addresses the task on software mentions that are automatically extracted using a baseline model, i.e. reflecting a typical information extraction scenario, where upstream pipelines (such as entity and metadata extraction) are imperfect. Subtask 3: Software coreference resolution at scale. Addresses the task using predicted mentions of software and metadata at a larger scale. This challenges models to scale effectively, maintain accuracy, and distinguish among an increasingly dense field of similar or overlapping software mentions. Shared task co-organisers: Sharmila Upadhyaya, Stefan Dietze, Frank Krüger, Wolfgang Otto Organisers * Georg Rehm (Deutsches Forschungszentrum für Künstliche Intelligenz & Humboldt-Universität zu Berlin, Germany) – main contact: <georg.rehm(a)dfki.de> * Stefan Dietze (GESIS Leibniz Institut für Sozialwissenschaften, Cologne & Heinrich-Heine-University Düsseldorf, Germany) * Danilo Dessí (University of Sharjah, UAE) * Diana Maynard (University of Sheffield, UK) * Sonja Schimmler (Technical University of Berlin & Fraunhofer FOKUS, Germany) Programme Committee * Marcel Ackermann, Lernzentrum Informatik (LZI), DBLP, Germany * Raia Abu Ahmad, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany * Tilahun Abedissa Taffa, University of Hamburg, Germany * Ekaterina Borisova, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany * Davide Buscaldi, LIPN, CNRS, University Paris 13, France * Leyla Jael Castro, ZB MED Information Centre for Life Sciences, Germany * Mathieu d’Aquin, Université de Lorraine, France * Jennifer D’Souza, TIB Leibniz Information Centre for Science and Technology, Germany * Catherine Faron, Université Côte d’Azur, France * Dayne Freitag, SRI International, USA * Paul Groth, University of Amsterdam, TheNetherlands * Leonhard Hennig, Deutsches Forschungszentrum für Künstliche Intelligenz (DFKI), Germany * Inma Hernandez, University of Seville, Spain * Robert Jäschke, Humboldt University of Berlin, Germany * Petr Knoth, Open University, UK * Frank Krüger, Wismar University of Applied Sciences, Germany * Julia Lane, NYU Wagner Graduate School of Public Service, USA * Andrea Mannocci, CNR-ISTI, Italy * Natalia Manola, OpenAIRE, Greece * Mirko Marras, University of Cagliari, Italy * Philipp Mayr-Schlegel, GESIS Leibniz-Institute for the Social Sciences, Germany * Pedro Ortiz Suarez, Common Crawl Foundation, USA * Wolfgang Otto, GESIS Leibniz-Institute for the Social Sciences, Germany * Haris Papageorgiou, R.C. Athena, Greece * Silvio Peroni, University of Bologna, Italy * Simone Ponzetto, Univ. of Mannheim, Germany * Diego Reforgiato Recupero, University of Cagliari, Italy * Harald Sack, FIZ Karlsruhe, Germany * Angelo Salatino, The Open University, UK * Philipp Schaer, TH Köln (University of Applied Sciences), Germany * Atsuhiro Takasu, University of Tokyo, Japan * Stefani Tsaneva, WU Wien, Austria * Ricardo Usbeck, Leuphana University, Germany * Thanasis Vergoulis, R.C. Athena, Greece

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[CFP] The 20th Linguistic Annotation Workshop
by ACL Announcements 11 Dec '25

11 Dec '25

CALL FOR PAPERS: THE 20TH LINGUISTIC ANNOTATION WORKSHOP (LAW-XX) Linguistic annotation of natural language corpora is the backbone of supervised methods in both statistical and neural natural language processing. Annotated corpora are also a major supporting source of information for unsupervised methods, multitask learning, and evaluation of both NLP tools and theories about language within and outside of linguistics. LAW-XX will provide a forum for presentation and discussion of innovative research on all aspects of linguistic annotation, including creation/evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised "human in the loop" methods of annotation, crowd-sourcing approaches, and more. LAW-XX will also provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software. SPECIAL THEME: ERRORS IN ANNOTATION The special theme of LAW XX is Errors in Annotation. In addition to LAW's general topics, we specifically invite submissions on the matter of addressing annotations which are in some sense objectively incorrect in their substance or omissions (c.f. Klie et al., CL 2023)--distinct from annotator disagreement (Weber-Genzel et al., ACL 2024)--and the role of error analysis in improving data quality for both human-annotated and LLM-generated datasets. As data quality becomes increasingly important (human-annotated or LLM-generated), it is essential to develop techniques or tools to quantify data quality (Swayamdipta et al., EMNLP 2020). Potential topics covered include but are not limited to: * Annotation error detection * Annotation error correction * Error type classification * Error detection and correction in crowd-sourced annotations * Errors in LLM-generated annotations IMPORTANT DATES All submission deadlines are 11:59 p.m. UTC-12:00 ("anywhere on Earth"). * Submission deadline: March 5, 2026 * Pre-reviewed ARR commitment deadline: March 24, 2026 * Notification of acceptance: April 28, 2026 * Camera-ready papers due: May 12, 2026 * Workshop Date: TBD LAW XX will be hybrid, allowing both in-person and virtual presentations. SUBMISSION We welcome submissions of long and short papers, posters, and demonstrations relating to the special theme or any aspect of linguistic annotation, including: * Annotation procedures * Innovative automated and manual strategies for annotation * Machine learning and knowledge-based methods for automation of corpus annotation * Creation, maintenance, and interactive exploration of annotation structures and annotated data * Annotation evaluation * Inter-annotator agreement and other evaluation metrics and strategies * Qualitative evaluation of linguistic representations * Innovative means to evaluate annotation quality * Annotation access and use * Representation formats/structures for annotations of different phenomena, especially annotations* at multiple levels, and means to explore/manipulate them * Linguistic considerations for merging annotations of distinct phenomena * Annotation schemes, guidelines and standards * New and innovative annotation schemes, comparison of annotation schemes * Methodologies and resources for annotation scheme development * Best practices for annotation procedures and/or development and documentation of annotation schemes * Interoperability of annotation formats and/or frameworks among different systems as well as different tasks, frameworks, modalities, and languages * Results from the application and evaluation of standards for linguistic annotation * Annotation software and frameworks * Development, evaluation and/or innovative use of annotation software frameworks Direct submission link: https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/LAW Pre-reviewed ARR commitment link: https://openreview.net/group?id=aclweb.org/ACL/2026/Workshop/LAW_ARR_Commit… Note on OpenReview's moderation policy for newly created profiles: * New profiles created without an institutional email will go through a moderation process that can take up to two weeks. * New profiles created with an institutional email will be activated automatically. Submissions should report original and unpublished research on topics of interest to the workshop. We also invite substantiated position papers, in particular with regard to our special theme. Accepted papers are expected to be presented at the workshop (either in-person or virtually) and will be published in the workshop proceedings. They should emphasize obtained results rather than intended work, and should indicate clearly the state of completion of the reported results. A paper accepted for presentation at the workshop must not be or have been presented at any other meeting with publicly available proceedings. Long/short paper submissions must use the official ACL style templates [1]. Long papers must not exceed eight (8) pages of content. Short papers and demonstration papers must not exceed four (4) pages of content. References do not count against these limits. Limitation and ethical consideration sections are optional and do not count against these limits as well. Note: The appendix also does not count against the page limit but should not include essential details needed to understand/review the paper (appendices can contain details such as hyperparameters, formulas, proofs, and tables that are informative but not critical to the understanding of the paper). All submissions must be in PDF format. Reviewing of papers will be double-blind. Therefore, the paper must not include the authors' names and affiliations or self-references that reveal the authors' identity--e.g., "We previously showed (Chen et al., 2024) …" should be replaced with citations such as "Chen et al. (2024) previously showed …". Papers that do not conform to these requirements will be rejected without review. Authors of papers that have been or will be submitted to other meetings or publications must provide this information to the workshop program chairs (law2026workshop(a)googlegroups.com). Authors of accepted papers must notify the program chairs within 10 days of acceptance if the paper is withdrawn for any reason. Following the ACL and ARR policies [2], there is no anonymity period requirement. PREPARING THE CAMERA-READY VERSION For the final version of your paper, make sure that you remove the "review" option from the latex source file (\usepackage[review]{acl} → \usepackage{acl}). Final versions of accepted papers will be given one additional page of content (up to 9 pages for long papers, up to 5 pages for short papers) to address the reviewers' comments. Please make sure to upload your final paper by May 12, 2026. Submissions uploaded after that date will not be included in the proceedings. If you have any questions, please feel free to contact the program chairs at law2026workshop(a)googlegroups.com. Links: ------ [1] https://github.com/acl-org/acl-style-files [2] https://www.aclweb.org/portal/content/report-acl-committee-anonymity-policy

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READIxTSAR @ LREC 2026 - 1st CFP
by Rémi Cardon 11 Dec '25

11 Dec '25

READIxTSAR 2026 Workshop, First Call for Papers May 2026, Palma de Mallorca, Spain https://readixtsar.github.io/ Hosted by LREC 2026 https://lrec2026.info/ READIxTSAR is a joint initiative between two previous workshops of mutual interest: Tools and Resources for REAding DIfficulties (READI, hosted at LREC 2020,22,24) and Text Simplification, Accessibility and Readability (TSAR, EMNLP 2022,24,25, RANLP 2023). This year at LREC, the committees of the two events have merged to deliver a joint event, uniting accessibility research communities under a common umbrella. We aim for READIxTSAR to be a focal point for communities of researchers working on reading difficulties, accessibility and simplification to network, share best practice and form new collaborations. *Motivation and Context* The growth of educational and assistive technologies for reading, aimed at enhancing the performance of individuals with disabilities, provides an important setting for Text Simplification research. The field of special education has had a longstanding interest in technology and the potential it holds for individuals with language/speech disabilities, cognitive disorders, etc. (Edyburn, 2000). This workshop aims to present state-of-the-art applications and approaches in technology-enhanced reading and innovations in text accessibility. The workshop will address specialized technology, tools, and resources, their impact on learning to read and comprehension, and innovative works spanning research to fieldwork, particularly in light of recent AI advances. Research in automatic text simplification has evolved from deep learning methods (Martin et al., 2020; Maddela et al., 2021; Sheang and Saggion, 2021) to leveraging foundational large language models (Kew et al. 2023; Cripwell et al. 2023; Farajidizaji et al. 2024) through fine-tuning and prompt-engineering. Despite these advancements, the Text Accessibility and Text Simplification communities must address critical areas, including: designing better evaluation metrics, developing context-aware simplification solutions, creating appropriate language resources, deploying simplification in real-world environments, studying discourse factors, and identifying factors affecting readability. Addressing these issues requires collaboration across CL/NLP, machine learning, UI/UX, accessibility professionals, and public organizations, whom we invite to participate through publication and attendance. *Topics of Interest* The joint event will accept submissions at the intersection of the research areas of the two workshops, as well as submissions that are targeted to the specific research interests of either workshop. An indicative list of topics of interest are listed below. - Lexical, syntactic and discourse adaptations or simplifications; - ATS for sentences, paragraphs, or documents; - Controllable text simplification and text generation of adapted contents; - Measuring and evaluating readability and text complexity; - LLMs and agentic LLMs for text simplification, text adaptation and readability - The role of LLMs in supporting reading - Complex word identification (CWI) and lexical complexity prediction (LCP); - Models, corpora, lexicons for text adaptation and text assessment; - Evaluation of text adaptation or ATS systems; - Meaning representation and multimodal text adaptation; - Educational devices and/or smart technologies for supporting reading and learning; - Domain specific applications of the above topics (e.g. health, legal). *Important Dates* Submission Deadline: 16th February 2026 Notification of Results: 16th March 2026 Camera Ready: 30th March 2026 READIxTSAR Workshop: 11th, 12th or 16th May 2026 *Submission Instructions* We invite submissions on topics of interest between 4 and 8 pages of content. The page limit of 8 pages does not include acknowledgements, references, potential Ethics Statements and discussion on Limitations in line with the policy of the main LREC conference. All submissions must follow the LREC stylesheet (https://lrec2026.info/authors-kit/). All submissions are double-blind. Any submissions which are not-anonymised, over-length, poorly formatted or make excessive use of appendices to circumvent page limits are liable to desk-rejection. At the time of submission, authors are offered the opportunity to share related language resources with the community. All repository entries are linked to the LRE Map (https://lremap.elra.info/), which provides metadata for the resource. As in previous editions for Camera Ready a Plain Summary will be requested. *“Share your LRs!” Initiative* When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). *Organizing Committee* - Matthew Shardlow, Manchester Metropolitan University, UK - Thomas François, UCLouvain, Belgium - Raquel Amaro, NOVA University Lisbon, Portugal - Jorge Baptista, Universidade do Algarve & INESC-ID Lisboa, Portugal - Rémi Cardon, Universidad Carlos III de Madrid, Spain - Eugénio Ribeiro, Iscte-IUL & INESC-ID Lisboa, Portugal - Regina Stodden, University Bielefeld, Germany - Rodrigo Wilkens, University of Exeter, UK - Horacio Saggion, Universitat Pompeu Fabra, Spain - Amalia Todirascu, Université de Strasbourg, France Contact: readixtsar(a)googlegroups.com

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First Call for Papers: Workshop on Structured Linguistic Data and Evaluation (SLiDE)
by Petya Osenova 10 Dec '25

10 Dec '25

[apologies for cross-postings] Workshop on Structured Linguistic Data and Evaluation (SLiDE) A full-day workshop at <https://lrec2026.info/> LREC 2026<https://lrec2026.info/>, 11-16 May 2026, Palma, Mallorca (Spain) In the last ten years, significant advances in deep learning models and the development of Large Language Models (LLMs) have revolutionized the fields of computational linguistics (CL) and natural language processing (NLP). In turn, this has led to a complete re-assessment of the language resources and evaluation practices necessary for training LLMs and analyzing their outputs. In particular, the availability of very large amounts of unstructured data for training foundational models has come into focus, while the value of high-quality structured linguistic data with rich annotations at various levels of linguistic analysis has been downplayed by comparison. However, as CL and NLP practitioners engage further with LLMs and debate their strengths and weaknesses, the importance of high-quality, structured linguistic data has been re-emphasized. The proposed workshop can be seen as related to the Treebanks and Linguistic Theories (TLT) conference series and the more recent SyntaxFest venue. Over the years, these venues have provided a central forum for high-quality research on treebanks, syntactic theory, syntax-semantics interface, structured meaning representations, and annotated linguistic resources. With record participation in recent years, they demonstrate the vitality and relevance of this line of work. The Workshop on Structured Linguistic Data is conceived as both a continuation of this tradition and an adaptation to the new realities of an LLM-dominated research landscape. The workshop will bring together researchers from these overlapping traditions to advance methods, resources, and practices for integrating structured linguistic data into the LLM era. Topics of interest include but are not limited to: Linguistic Data Analyses, Language Resources, and Evaluation * Grammar processing with NLP and LLM-based tools * Phonological and morphological analysis and LLM tokenization * Annotation strategies with LLM-empowered methodologies and tools * Design principles and annotation schemes for structured linguistic data * Multi-lingual and cross-lingual settings * Mapping of structured linguistic data to Linked Open Data resources * Evaluation informed by language typology * Language resources for under-resourced and endangered languages * The use of structured linguistic data for NLP applications * The use of structured linguistic data in acquiring linguistic knowledge * (Semi-)automatic methods for creating structured linguistic data Spoken language Data * Speech-to-text applications * Speech Generation techniques * Speech data preparation, curation and evaluation Multimodality and Situated Dialogue * Structured multimodal resources: gesture AMR (GAMR), gaze and posture annotation, multimodal dialogue corpora. * Multimodal grounding: linking language with visual, gestural, and action representations * Structured representations for co-attention and alignment in multiparty dialogue * Multimodal evaluation resources for LLMs Pragmatics and Discourse * Structured data for discourse and dialogue: discourse relation annotation, coherence structures, dialogue acts * Pragmatic annotation (speech acts, presupposition, implicature, politeness, stance) * Structured approaches to common ground tracking and Theory of Mind in LLMs Semantics and Lexical Meaning * Dependency analysis and semantic parsing * Annotation beyond syntax: semantics, pragmatics and discourse * Structured data for lexical semantics: sense inventories, semantic frames, qualia structure, and type-theoretic resources * Computational semantics resources: Abstract Meaning Representation (AMR), Universal Meaning Representation (UMR), Discourse, Representation Structures, Minimal Recursion Semantics (MRS), Type Theory with Records (TTR) * Distributional and neural-symbolic representations of lexical meaning: (e.g., Holographic Reduced Representations (HRR), hyperdimensional computing) for structured LLM grounding * Aligning vector-based meaning representations with symbolic/typed structures We invite paper submissions in two distinct tracks: * regular papers on substantial and original research, including empirical evaluation results, where appropriate – 6 to 8 pages excluding references and potential ethics statements; * short papers on smaller, focused contributions, work in progress, negative results, surveys, or opinion pieces – 4 to 6 pages excluding references and potential ethics statements. Invited speakers Naiara Perez (University of the Basque Country) Shira Wein (Amherst College) Paper Submission and Templates * Submission follows the LREC 2026 conference instructions, using the START conference management system. The submission link will be provided as soon as it becomes available. * Submissions should follow the LREC stylesheet, available on the conference website on the <https://lrec2026.info/authors-kit/> Author’s kit<https://lrec2026.info/authors-kit/> page. Papers must be anonymized to support double-blind reviewing. Important Dates February 22, 2026: Paper submission deadline March 15, 2026: Notification of acceptance March 25, 2026: Camera-ready papers May 2026: Workshop at LREC 2026 All deadlines are 11.59 pm UTC -12h (“anywhere on Earth”). Workshop Organizers Jan Hajič (Charles University, Czech Republic) Erhard Hinrichs (Tübingen University, Germany) Sandra Kübler (Indiana University, USA) Joakim Nivre (Uppsala University, Sweden) Petya Osenova (Sofia University and IICT-BAS, Bulgaria) James Pustejovsky (Brandeis University, USA)

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ParaConc, MonoConc and Collocate
by Michael Barlow 10 Dec '25

10 Dec '25

I am simplifying my life (and taxes). The above Windows software can be downloaded from my website -- michaelbarlow.com Michael --- Michael Barlow. www.michaelbarlow.com<http://www.michaelbarlow.com/> Assoc. Prof. Applied Linguistics, University of Auckland Recent publications M. Barlow. 2023. Writing with an AI Assistant.<https://writingwithanaiassistant.com/> Athelstan. M. Barlow 2023. Ten Lectures on Corpora and Cognitive Linguistics<https://brill.com/display/title/61682>. Brill Le, Pham & Barlow 2023. The Academic Discourse of Mechanical Engineering<https://benjamins.com/catalog/scl.107>. Benjamins

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Gaze4NLP - The Second International Workshop on Gaze Data and Natural Language Processing
by cagri coltekin 10 Dec '25

10 Dec '25

**First Call for Papers** Gaze4NLP - The Second Workshop on Gaze Data and Natural Language Processing May 2026, Palma de Mallorca, Spain (co-located with LREC 2026) The Second Workshop on Gaze Data and Natural Language Processing (Gaze4NLP), co-located with LREC 2026 in Palma de Mallorca, Spain, invites papers of a theoretical or experimental nature describing research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identifying challenges to resolve in the intersection of the two domains: eye tracking and NLP. Gaze4NLP aims to bring together researchers conducting research on eyes on eyes on text and NLP; and establishing bridges between them for identifying future venues of research. Workshop webpage: https://gaze4nlp.github.io/Gaze4NLP2026/ Important Dates Workshop paper submission deadline: 9 February 2026 Workshop paper acceptance notification: 16 March 2026 Workshop paper camera-ready versions: 30 March 2026 Workshop camera-ready proceedings ready: May 2026 Conference: 11-16 May 2026 All deadlines are 11:59PM UTC-12:00 (anywhere on Earth) Topics for the workshop will include, but are not limited to: - Investigating the pillars for bridging the gap between the research on eyes on text and NLP. Study how to expand research methodologies by employing interdisciplinary perspectives, including computer science and engineering perspectives and cognitive sciences, and identify challenges, issues to resolve. - Exploring new areas so that both fields benefit from each other better than the past, identifying novel domains of exploration for further research. - Discussing how to develop cognitively inspired models that align human reading data with LLMs. Submissions We solicit regular workshop papers, which will be included in the proceedings as archival publications. All categories of papers may be long (maximum 8 pages of content + up to one page for limitations (required) + unlimited references) or short (maximum 4 pages of content + up to one page for limitations (required) + unlimited references). Accepted papers will be presented in the form of either oral or poster presentations. Please note that camera-ready papers are allowed an additional page. The workshop proceedings will be part of the ACL anthology. Accepted papers will also be given an opportunity with an extended version to be published as part of an edited book. Submissions will be handled via the START Conference Manager. The submission link will be provided on the workshop website as soon as it becomes available. All submissions should follow the LREC style guidelines. We strongly recommend the use of the LaTeX style files, OpenDocument, or Microsoft Word templates created for LREC: <https://lrec2026.info/authors-kit/>. All papers must be anonymous, i.e., not reveal author(s) on the title page or through self-references. So, e.g., “We previously showed (Smith, 2020)”, should be avoided. Instead, use citations such as “Smith (2020) previously showed”. LRE-Map and Sharing Language Resources When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones). Organization Committee: Cengiz Acarturk, Jagiellonian University, Poland Jamal Nasir, University of Galway, Ireland Burcu Can, University of Stirling, Scotland, UK Cagri Coltekin, University of Tubingen, Germany

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CoNLL 2026: 1st Call for Papers
by claire.n.bonial.civ＠army.mil 10 Dec '25

10 Dec '25

CoNLL 2026: 1st Call for Papers San Diego, California, United States, July 3-4, 2026 (co-located with ACL) https://www.conll.org/ SIGNLL invites submissions to the 30th Conference on Computational Natural Language Learning (CoNLL 2026). The focus of CoNLL is on theoretically, cognitively and scientifically motivated approaches to computational linguistics. We welcome work targeting any aspect of language and its computational modeling, including: Computational Psycholinguistics, Cognition and Linguistics Computational Usage-Based Grammars (e.g., Construction Grammars) Computational Social Science and Sociolinguistics Interaction and Dialogue Language Acquisition, Learning, Emergence, and Evolution Multimodality and Grounding Typology and Multilinguality Speech and Phonology Syntax and Morphology Lexical, Compositional and Discourse Semantics Theoretical Analysis and Interpretation of ML Models for NLP Resources and Tools for Scientifically Motivated Research We do not restrict the topic of submissions to fall into this list. However, the submissions’ relevance to the conference’s focus on theoretically, cognitively and scientifically motivated approaches will play an important role in the review process. Submissions CoNLL will accept only direct submissions this year. Submission will be via OpenReview. We accept two types of submission: archival, and non-archival. Non-archival submissions are not anonymous. We will accept submissions that fit into CoNLL’s scope (see above for a description) and have been published in 2024, 2025, and 2026 in relevant conferences (*ACL, COLING, NeurIPS, ICLR, CogSci, …) and journals (TACL, Computational Linguistics, other journals in the areas of interest for CoNLL). Archival submissions must be anonymous and use the same template as the ACL 2026. Submitted papers may consist of up to 8 pages of content plus unlimited space for references. Authors of accepted papers will have an additional page to address reviewers’ comments in the camera-ready version (9 pages of content in total, excluding references). Optional anonymized supplementary materials and a PDF appendix are allowed. Please refer to the ACL website for more details on the submission format. Note that, unlike ACL, we do not mandate that papers have a discussion section of the limitations of the work. However, we strongly encourage authors to have such a section in the appendix. Timeline (All deadlines are 11:59pm UTC-12h, AoE) Submission deadline (archival and non-archival): February 19 2026 Notification of acceptance: April 21 2026 Camera-ready papers due: May 12 2026 Conference: July 3-4, 2026 Further information Further information will be announced in the 2nd Call for Papers. CoNLL 2026 Co-Chairs Claire Bonial, DEVCOM U.S. Army Research Laboratory Yevgeni Berzak, Technion Contact Questions? E-mail conll.chairs(a)gmail.com

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Joint CODI CRAC 2026 Workshop: First Call for Papers
by Amir.Zeldes＠georgetown.edu 10 Dec '25

10 Dec '25

*apologies for cross-postings* Joint CODI CRAC 2026 Workshop: call for papers � July 2026 - ACL 2026 - San Diego, USA � We are pleased to announce that we are organizing the second joint CODI-CRAC workshop which will be held during ACL 2026! More information at: � <https://sites.google.com/view/codi-crac2026/home> https://sites.google.com/view/codi-crac2026/ � � CODI-CRAC is officially endorsed by SIGDial, the ACL Special Interest Group on Discourse and Dialogue. � Deadline for CODI CRAC papers: March 20 2026 � The workshop will also host the CRAC shared task. More information at: � - CRAC shared task: <https://ufal.mff.cuni.cz/corefud/crac26> https://ufal.mff.cuni.cz/corefud/crac26 Aims and scope � Recent breakthroughs in NLP and Large Language Models have dramatically expanded our systems’ abilities to interpret and generate not just sentences, but whole documents and conversations. This shift has renewed interest in discourse-level challenges, driving new work on inter-sentential phenomena, coherence modeling, long-form summarization, discourse-aware representation learning, and large-scale resources for discourse understanding and parsing. � Discourse sits at the intersection of many NLP subfields, as it is where context, structure, and meaning come together beyond single sentences. Discourse shapes how we capture coherence, cohesion, and inference across long texts, and brings together researchers tackling the shared challenges of document structure, long-range dependencies, and the requirements of extended context. � In 2025, we organized the first joint CODI-CRAC workshop. The CODI workshop on Computational Approaches to Discourse has been a forum for a broad range of work at the discourse level. The CRAC workshop on Computational Models of Reference, Anaphora and Coreference has been a primary venue for researchers interested in the computational modeling of reference phenomena. Together, these workshops have catalyzed work to advance research on discourse-level problems and have served as a forum for discussing suitable datasets and reliable evaluation methods. � This joint edition corresponds to the 7th CODI workshop and the 9th CRAC workshop. It will welcome contributions from all the areas below, including state-of-the-art textual NLU and NLG work using LLMs, as well as classic structured work on automatic discourse analysis -- corresponding to challenging tasks such as coreference resolution or discourse parsing -- to encourage interaction between communities. The workshop is set to host the 5th edition of the CRAC shared task on Multilingual Coreference Resolution. � The workshop is planned as a 1-day event that brings together different subcommunities. It will feature regular papers and invited talks by Ruihong Huang (Texas A&M University) and Philippe Laban (Microsoft Research). We also accept papers accepted at other major conferences for non-archival presentation, including Findings papers. � Topics of interest � We welcome papers on symbolic and probabilistic approaches, corpus development and analysis, as well as machine and deep learning approaches to discourse. We appreciate theoretical contributions as well as practical applications, including demos of systems and tools. The goal of the workshop is to provide a forum for the community of NLP researchers working on all aspects of discourse. � Topics of interest include, but are not limited to: � - discourse structure - discourse connectives - discourse relations - annotation tools and schemes for discourse phenomena - corpora annotated with discourse phenomena - discourse parsing - cross-lingual discourse processing - cross-domain discourse processing - anaphora and coreference resolution - event coreference - argument mining - coherence modeling - discourse and semantics - discourse in applications such as machine translation, summarization, etc. - evaluation methodology for discourse processing - discourse pretraining tasks - long-text modeling and generation � Submissions Double submission of papers is allowed, but this information will need to be disclosed at submission time. � We solicit three categories of papers: � * (1) Regular workshop papers � * (2) Demos * (3) Extended abstracts Only regular workshop papers and demos will be included in the proceedings as archival publications. Extended abstracts are non-archival and will be included in the workshop program and handbook, but will not appear in the workshop proceedings. 1- Regular papers must describe original unpublished research. � * Long papers may consist of up to 8 pages of content, plus unlimited pages for references. * Short papers can be up to 4 pages, plus unlimited pages for references. 2- Demo submissions may describe systems, tools, visualizations, etc., and may consist of up to 4 pages, plus unlimited pages for references. 3- Extended abstracts can describe work in progress. They may be two pages long (without references). Extended abstracts are non-archival. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. Each submission can contain unlimited pages for Appendices, but the paper submissions need to remain fully self-contained, as these supplementary materials are completely optional, and reviewers are not even asked to review them. Final versions of all types of papers will be given one additional page of content. Paper accepted or rejected at one of the main conferences � We also invite presentations of papers accepted at another main conference. They will be included in the workshop program and handbook, but will not appear in the workshop proceedings. We also fast-track ARR papers with existing reviews. Submission website � All submissions must be anonymous and follow the ACL 2026 formatting instructions described here: <https://aclrollingreview.org/cfp> https://aclrollingreview.org/cfp � � Submission website: * CODI-CRAC: <https://softconf.com/acl2026/codi-crac2026/> https://softconf.com/acl2026/codi-crac2026/ � Schedule Important dates for the workshop are listed below: * CODI-CRAC papers due: March 20 * Pre-reviewed ARR fast-track (with reviews, can be accepted or rejected): April 5 � * Notification of acceptance: April 28, 2026 * Grant application: May 5, 2026 * Camera-ready paper due: May 12, 2026 * Pre-recorded video due: June 4, 2026 * Workshop dates: July 3 or 4, 2026 � �All deadlines are 11.59 pm UTC -12h ("anywhere on Earth"). Invited Speakers � - Ruihong Huang, Texas University - Philippe Laban, Microsoft Research Organizers � - Chloé Braud, CNRS-IRIT - Christian Hardmeier, IT University of Copenhagen - Chuyuan (Lisa) Li, � University of British Columbia - Jessy Li, University of Texas, Austin - Sharid Loáiciga, University of Gothenburg - Vincent Ng, University of Texas at Dallas - Michal Novák, Charles University, Prague - Maciej Ogrodniczuk, Institute of Computer Science, Polish Academy of Sciences - Massimo Poesio, Queen Mary University of London and University of Utrecht - Michael Strube, Heidelberg Institute for Theoretical Studies - Amir Zeldes, Georgetown University, Washington DC � To contact the organizers, please send an email to: <mailto:codi-crac-workshop@googlegroups.com> codi-crac-workshop(a)googlegroups.com � �

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CFP: CHiPSAL – Second Workshop on Challenges in Processing South Asian Languages @LREC 2026
by Kengatharaiyar Sarveswaran 10 Dec '25

10 Dec '25

*Call for Papers* *CHiPSAL 2026* *Second Workshop on Challenges in Processing South Asian Languages @LREC 2026* *16 May 2026* We are pleased to announce the *Second Workshop on Challenges in Processing South Asian Languages (CHiPSAL 2026)*, to be held in *hybrid mode on 16 May 2026*, co-located with *LREC 2026*. CHiPSAL 2026 invites *substantial, original, and unpublished research* on all areas of natural language processing, language resources, and evaluation—covering spoken, signed, and multimodal language—as well as system demonstrations. We welcome long and short papers addressing challenges, resources, tools, and innovations for *South Asian languages*. Topics include, but are not limited to: - Encoding and Unicode issues - Orthographic complexities - Morphology and generation - Dialectal variation and standardisation - Code-mixing and multilingualism - Building linguistic resources - Speech recognition and synthesis - Technology for linguistic heritage preservation - Benchmarking models - Large language models for South Asian languages ------------------------------ *Important Dates (AoE)* - Submission Deadline: *20 February 2026* - Notification of Acceptance: *20 March 2026* - Camera-ready Papers:* 30 March 2026* - Workshop (Hybrid): *16 May 2026* ------------------------------ *Submission Guidelines* CHiPSAL 2026 accepts *oral*, *poster*, and *poster+demo* papers. - Short papers: 4 pages - Long papers: 8 pages (Excluding ethics/limitations, references, acknowledgements, and data/code availability statements) All submissions must: - Follow the *LREC 2026 stylesheet*: https://lrec2026.info/authors-kit/ - Be *fully anonymised* for double-blind review - Include required ethics/limitations and data/code availability statements - Be self-contained (no appendices or supplementary files at submission) - Be relevant to South Asian language processing Papers must report *original, unpublished work*. Concurrent submissions must be declared. Accepted papers will appear in the workshop proceedings. Authors are encouraged to submit related resources to the *LRE Map*: https://lremap.elra.info/ ------------------------------ *Shared Tasks* CHiPSAL 2026 also hosts two shared tasks: 1. *Multimodal Hate and Sentiment Understanding in Low-Resource Memes* https://sites.google.com/view/chipsal/shared-tasks_1/shared-task-1 *Multilingual ASR for South Asian Languages* https://sites.google.com/view/chipsal/shared-tasks_1/shared-task-2 We warmly encourage participation in these shared tasks. ------------------------------ *More Information* Workshop website: https://sites.google.com/view/chipsal/ *Organising Committee* - Kengatharaiyer Sarveswaran, University of Jaffna, Jaffna, Sri Lanka. - Ashwini Vaidya, Indian Institute of Technology, Delhi, India. - Bal Krishna Bal, Kathmandu University, Kathmandu, Nepal. - Surendrabikram Thapa, Virginia Tech, USA. - Tafseer Ahmed, Mohammad Ali Jinnah University, Karachi, Pakistan. Do not miss the opportunity to submit your work, strengthen the South Asian NLP community, and support the development of language technology in one of the world’s most populous and linguistically diverse regions. We look forward to your contributions. Best regards, *The CHiPSAL 2026 Organising Committee* -- *Dr Kengatharaiyer Sarveswaran (Sarves)* Senior Lecturer (Grade-I) in Computer Science Department of Computer Science Faculty of Science University of Jaffna Sri Lanka sarves.github.io

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2nd CFP: ‘LAnguage TEchnologies for Low-resource Languages’ (LaTeLL ’2026)
by Amal Haddad 10 Dec '25

10 Dec '25

International Conference 'LAnguage TEchnologies for Low-resource Languages' (LaTeLL '2026) Fes, Morocco 30 September, 1 and 2 October 2026 www.latell.org/2026/ [1] Second Call for Papers The conference Natural Language Processing (NLP) has witnessed remarkable progress in recent years, largely driven by the emergence of deep learning architectures and, more recently, large language models (LLMs). Nevertheless, these advances have disproportionately benefited high-resource languages that possess abundant data for model training. By contrast, low-resource languages which account for at least 85% of the world's linguistic diversity and are often spoken by smaller or marginalised communities, have not yet reaped the full benefits of contemporary NLP technologies. This imbalance can be attributed to several interrelated factors, including the scarcity of high-quality training data, limited computational and financial resources, and insufficient community engagement in data collection and model development. Developing NLP applications for low-resource languages poses major challenges, particularly the need for large, well-annotated datasets, standardised tools, and robust linguistic resources. Although several workshops have previously addressed NLP for low-resource languages, _LaTeLL_ represents the first international conference dedicated specifically to the automatic processing of such languages. The event aims to provide a forum for researchers to present and discuss their latest work in NLP in general, and in the development and evaluation of language models for low-resource languages in particular. Conference topics We invite submissions on a broad range of themes concerning linguistic and computational studies focusing on low-resource languages, including but not limited to the following topics: Language resources for low-resource languages * Dataset creation and annotation * Evaluation methodologies and benchmarks for low-resource settings * Lexical resources, corpora, and linguistic databases * Crowdsourcing and community-driven data collection * Tools and frameworks for low-resource language processing Core language technologies for low-resource languages * Language modelling and pre-training for low-resource languages * Speech recognition, text-to-speech, and spoken language understanding * Phonology, morphology, word segmentation, and tokenisation * Syntax: tagging, chunking, and parsing * Semantics: lexical and sentence-level representation NLP Applications for low-resource languages * Information extraction and named entity recognition * Question answering systems * Dialogue and interactive systems * Summarisation * Machine translation * Sentiment analysis, stylistic analysis, and argument mining * Content moderation * Information retrieval and text mining Multimodality and Grounding for low-resource languages * Vision and language for low-resource contexts * Speech and text multimodal systems * Low-resource sign language processing Ethics, Equity, and Social Impact for low-resource languages * Bias and fairness in low-resource language technologies * Sociolinguistic considerations in technology development * Cultural appropriateness and sensitivity Human-Centred Approaches in low-resource languages * Usability and accessibility of low-resource language technologies * Educational applications and language learning * Community needs assessment and technology adoption * User experience research in low-resource contexts Multilinguality and Cross-Lingual Methods for low-resource languages * Multilingual language models and their adaptation * Code-switching and code-mixing * Cross-lingual transfer learning in low-resource languages. Special Theme Track 1 -- Building Applications Based on Large Language Models for Low-Resource Languages _LaTeLL'2026_ will feature a Special Theme Track dedicated to the development of applications based on Large Language Models (LLMs) for low-resource languages. This track aims to explore innovative methodologies, architectures, and tools that leverage the power of LLMs to enhance linguistic processing, accessibility, and inclusivity for underrepresented languages. Contributions are encouraged on topics such as model adaptation and fine-tuning, multilingual and cross-lingual transfer, ethical and fairness considerations, and the creation of datasets and benchmarks that facilitate the integration of LLM-based solutions in low-resource settings. Special Theme Track 2 -- Modern Standard Arabic (MSA) and Arabic Dialects This special track addresses the unique challenges and opportunities in processing Modern Standard Arabic (MSA) and the rich landscape of Arabic dialects. The diglossic nature of Arabic, where the formal MSA coexists with numerous, widely used spoken dialects, presents a significant hurdle for NLP. While MSA is relatively well-resourced, Arabic dialects are quintessential examples of low-resource languages, often lacking standardised orthographies, annotated corpora, and dedicated processing tools. This track invites submissions on novel research and resources aimed at bridging this gap and advancing the state of the art in Arabic language technology. Topics of interest include, but are not limited to: * Dialect identification and classification * Creation of corpora and lexical resources for Arabic dialects * Machine translation between MSA and dialects, and across different dialects * Speech recognition and synthesis for dialectal Arabic * Computational modelling of morphology, syntax, and semantics for dialects * NLP applications (e.g., sentiment analysis, NER) for dialectal user-generated content * Code-switching between Arabic dialects, MSA, and other languages Submissions and Publication _LaTeLL'2026_ welcomes high-quality submissions in English, which may take one of the following two forms: * Regular (long) papers:Up to eight (8) pages in length, presenting substantial, original, completed, and unpublished research. * Short (poster) papers:Up to four (4) pages in length, suitable for concise or focused contributions, ongoing research, negative results, system demonstrations, and similar work. Short papers will be presented during a dedicated poster session. The conference will not consider submissions consisting of abstracts only. All accepted papers (both long and short) will be published as electronic proceedings (with ISBN) and made available on the conference website at the time of the event. The organisers intend to submit the proceedings for inclusion in the ACL Anthology. Authors of papers receiving exceptionally positive reviews will be invited to prepare extended and substantially revised versions for submission to a leading journal in the field of Natural Language Processing (NLP). Further details regarding the submission process will be provided in the follow up Calls for Papers. The conference will also feature a Student Workshop, and awards will be presented to the authors of outstanding papers. Important dates * Submissions due: 1 May 2026 * Reviewing process: 20 May - 20 June 2026 * Notification of acceptance: 25 June 2026 * Camera-ready due: 10 July 2026 * Conference camera-ready proceedings ready 10 July 2026 * Conference: 30 September, 1 October and 2 October 2026 Organisation Conference Chair Ruslan Mitkov (Lancaster University and University of Alicante) Programme Committee Chairs Saad Ezzini (King Fahd University of Petroleum & Minerals) Salima Lamsiyah (University of Luxembourg) Tharindu Ranasinghe (Lancaster University) Organising Committee Maram Alharbi (Lancaster University) Salmane Chafik (Mohammed VI Polytechnic University) Ernesto Estevanell (University of Alicante) Further information and contact details The follow-up calls will provide more details on the conference venue and list keynote speakers and members of the programme committee once confirmed. The conference website is www.latell.org/2026/ [1] and will be updated on a regular basis. For further information, please email 2026(a)latell.org Registration will open in March 2026. -- Amal Haddad Haddad (She/her) 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] http://www.latell.org/2026/

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