March 2026 - Corpora

37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026): Second Call for Papers (Industry Track)
by Announce 03 Mar '26

03 Mar '26

*** Second Call for Papers (Industry Track) *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ The ISSRE Industry Track gathers industry representatives as well as researchers from, within or in collaboration with industry to discuss software reliability, quality assurance as well as experiences and lessons learned. This year we will bring experiences from self- made tools, usage of AI, generative AI and machine learning in relation to software reliability. Industry track papers are expected to be of interest to software development professionals, as well as to anyone researching or working in the area of software reliability, software quality, and process improvement groups, with concrete relevance to industrial problems and practical applications. All presenters of accepted papers will be required to attend the conference in person. Participating in the conference would give a chance to meet and discuss with a wide selection of researchers and other industry experts in the area. Topics of Interest Topics of interest include development, analysis methods and models throughout the software development lifecycle, from an industrial and practitioner-oriented perspective. Ask yourself this: Is the work grounded in real-world systems, operational experience, or industrial practice, and does it address reliability or dependability concerns? If it is, you have found the right conference track. For a more detailed list check out the detailed topics list for the research track on this site. • Use cases, practical experiences, lessons learned, improvement programs in reliability or dependability. • Foundations of reliability and dependability, including process, technology, methods, metrics and lessons learned. • Design for reliability or dependability, failure and incident case studies, including experiences in security, testing, verification, and related practices in the field. • Reliability in AI-driven and autonomic systems or AI techniques used for Reliability Engineering. • Software reliability in any system domain. • Trustworthiness, security, and Responsible Software Engineering. • Human-centric focus on reliability and dependability. • Adoption of reliability standards, measurements and similar experiences. We look for papers with good evaluation, honest data, new insights and practical experiences that can be used to help others. We also encourage submissions reporting negative results, unexpected outcomes, and lessons learned from real-world practice. Submission Guidelines and Instructions We invite three kinds of submissions to the Industry Track: • Enlightening Talk or Tool Demo: 1-2 page abstract (OR a Power Point presentation OR a video for a tool demo). • Short paper: 4-pages (including references). • Full paper: 6-pages (including references). All the submissions will be reviewed by members of the Industry Track Program Committee. Accepted papers (with an abstract) will be included in the ISSRE Supplemental Proceedings and submitted for publication to IEEE Xplore. Papers are submitted via Easy Chair https://easychair.org/conferences?conf=issre2026 . Submissions must adhere to the IEEE Computer Society Format Guidelines (for more Information, please refer to the relevant part on the conference website: https://cyprusconferences.org/issre2026/industry-track/). Note that: • A paper must include the title, the name and affiliation of each author, an abstract of up to 150 words, and up to 4 keywords. Thus, submissions are not anonymous. • Reviewers will use the abstract during the bidding process for peer-review. Thus, the abstract should state the paper goals clearly, along with the means used to achieve them. • The first page is not a separate page, but is a part of the paper (i.e., it has technical material in it). Thus, this page counts toward the total page budget for the paper. • Symbols and labels used in the graphs should be readable as printed, without requiring on-screen magnification. • Limit the file size to less than 15 MB (for Video’s – provide a live link). Papers that exceed the page limits specified, on topics not in the scope of ISSRE, or that do not follow the formatting guidelines will be rejected without review. Authors of accepted papers will have the chance to present their work at ISSRE 2026. Submission implies the willingness of at least one of the authors to register for the conference and to give the talk, if the paper is accepted. Best Paper Awards The Industry Program Chair will select three candidates among top-ranked papers presenting and motivating novel and disruptive ideas that address problems relevant for industry. Selection will be based on the reviewers’ feedback, novelty and potential impact of the results. The final selection of the best paper will be done by the audience attending the presentation of the candidate papers. Eligible papers must be (1) full papers accepted to the industry track, and (2) co-authored by at least one author whose primary affiliation is in Industry. Important Dates (AoE) • Abstract Submission Deadline: June 28, 2026 & July 3, 2026 • Paper Submission Deadline: July 5, 2026 & July 12, 2026 • Notification to Authors: August 12, 2026 • Camera Ready Papers: August 19, 2026 • Enlightening Talks or Tool Demos (without abstract; not to appear in the proceedings): August 15, 2026 • Author Registration Deadline (Industry Track): August 19, 2026 Organisation General Chairs • Leonardo Mariani, University of Milano - Bicocca, Italy • George A. Papadopoulos, University of Cyprus, Cyprus Program Coordinator • Roberto Natella, GSSI, Italy Research Program Committee Chairs • Domenico Cotroneo, UNC Charlotte, USA • Jie M. Zhang, King's College London, UK Industry Program Chairs • Jinyang Liu, Bytedance, USA • Sigrid Eldh, Ericsson AB, Sweden Workshop Chairs • Georgia Kapitsaki, University of Cyprus, Cyprus • August Shi, The University of Texas at Austin, USA Doctoral Symposium Chairs • Stefan Winter, LMU Munich, Germany • Lili Wei, McGill University, Canada Fast Abstract Chairs • Luigi Lavazza, University of Insubria, Italy • Yintong Huo, SMU, Singapore JIC2 Chair • Helene Waeselynck, LAAS-CNRS, France Publicity Chairs • Allison K. Sulivan, The University of Texas at Arlington, USA • Jose D'Abruzzo Pereira, University of Coimbra, Portugal Publication Chairs • Sherlock Licorish, Otago Business School, New Zealand • Maria Teresa Rossi, GSSI, Italy Artifact Evaluation Chairs • Naghmeh Ivaki, University of Coimbra, Portugal • Fumio Machida, University of Tsukuba, Japan Diversity and Inclusion Chair • Eleni Constantinou, University of Cyprus, Cyprus Financial Chair • Costas Pattichis, University of Cyprus, Cyprus Web Chairs • Michalis Ioannides, Easy Conferences LTD • Elena Masserini, University of Milano - Bicocca, Italy Registration Chair • Easy Conferences LTD

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Call for Participation - HIPE-OCRepair 2026 - ICDAR Competition on LLM-Assisted OCR Post-Correction
by Maud Ehrmann 03 Mar '26

03 Mar '26

(apologies for cross-postings) ==== HIPE-OCRepair 2026 - Historical OCR Post-Correction Shared Task Website: https://hipe-eval.github.io/HIPE-OCRepair-2026/ Task: LLM-Assisted OCR Post-Correction for Multilingual Historical Documents Venue: ICDAR 2026<https://icdar2026.org/> (31 Aug - 4th Sep 2026) ==== Data: https://github.com/hipe-eval/HIPE-OCRepair-2026-data How-to: Participation Guidelines<https://github.com/hipe-eval/HIPE-OCRepair-2026-data/blob/main/README-Parti…> Scorer: https://github.com/hipe-eval/HIPE-OCRepair-scorer/ ==== We invite participation in HIPE-OCRepair 2026, the ICDAR 2026 Competition on LLM-Assisted OCR Post-Correction for Historical Documents. Large-scale digitized historical collections still contain substantial OCR errors. Re-processing millions of pages with improved engines is rarely feasible, making post-correction the most viable strategy for addressing the OCR debt accumulated in digital heritage collections. Recent progress in large language models opens promising new directions, but their effectiveness varies across languages and error types, and they may introduce hallucinations. To what extent can large language models address the OCR debt accumulated in large-scale digitized historical collections? HIPE-OCRepair 2026 addresses this question through HIPE-OCRepair-Bench, a unified multilingual benchmark comprising curated datasets, a standardised evaluation protocol, baseline systems, and an open leaderboard. Task Participants correct noisy OCR transcripts of historical documents without access to the original images. For each text chunk (typically a paragraph or article), the dataset provides: * one OCR hypothesis * document metadata (language, date, publication title) * OCR quality indicators (CER, WER, lexicon-based quality score) Systems must produce improved corrected text. Both generative (LLM-based) and discriminative or hybrid approaches are welcome. Data The benchmark consists of parallel OCR and ground truth data drawn from multiple curated historical collections, covering English, French, and German materials from the 17th to the 20th century, including newspapers and printed works. It consolidates existing resources alongside newly curated materials. Important dates * 10 Dec 2025: Sample data release * 02 Mar 2026: Training and development data release; scorer * 23 Mar 2026: Hugging Face leader board release * 06-08 Apr 2026: Evaluation phase (test release and submission) * 10 Apr 2026: Results publication * 31 Aug-4 Sep 2026: Presentation at ICDAR 2026 HIPE-OCRepair addresses a central challenge for the document analysis, NLP, and digital humanities communities: improving the usability of large historical text collections at scale. It offers a reproducible evaluation framework, openly available data and tools, and a leaderboard for benchmarking beyond the competition itself. We look forward to your participation! Best regards, HIPE-OCRepair 2026 Organizers https://hipe-eval.github.io/HIPE-OCRepair-2026/

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CLASSLA-web 2.0 Web Corpora for South Slavic languages
by Taja Kuzman Pungeršek 02 Mar '26

02 Mar '26

*Dear colleagues, We are happy to announce that we have released the second version of the South Slavic CLASSLA-web corpora. **The corpus collection contains approximately 38 million texts and 17 billion words, collected from the web in 2024, and covers the full South Slavic language group: Bosnian, Bulgarian, Croatian, Macedonian, Montenegrin, Serbian, and Slovenian. Compared to CLASSLA-web 1.0, the new web corpora are significantly expanded and largely consist of new texts. The corpora are linguistically annotated, automatically classified by genre and enriched with topic labels.**The web corpus collection is intended for a wide range of uses, including corpus linguistics, lexicography, and other linguistic research, as well as for natural language processing tasks such as training and evaluating language models, and creating genre- or topic-specific datasets.*** ***A detailed description of the resource can be found in the accompanying paper (https://doi.org/10.48550/arXiv.2601.11170). **Further information on both CLASSLA-web 1.0 and 2.0 versions, including details on corpus construction, additional resources, a video describing the workflow, and citation guidelines, is available on the CLASSLA-web website: https://clarinsi.github.io/classla-web/ **If you are interested in language resources and technologies for South Slavic languages, we invite you to browse the CLASSLA-web corpora via the CLARIN.SI concordancers (**https://www.clarin.si/ske/#open**) or download them **under a CC0 license **from the CLARIN.SI repository: http://hdl.handle.net/11356/2079* *Best wishes, CLASSLA-web authors: Taja Kuzman Pungeršek, Peter Rupnik, Vít Suchomel and Nikola Ljubešić, supported by CLARIN.SI <https://www.clarin.si/info/about/> and CLASSLA <https://www.clarin.si/info/k-centre/>*

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Data in Historical Linguistics Seminar Series – Seminar 4
by Andrea Farina 02 Mar '26

02 Mar '26

The fourth talk of the Data in Historical Linguistics Seminar Series will take place remotely on Monday 9 March 2026 at 5pm GMT. Ilia Afanasev (University of Vienna, Austria) will be presenting on "A study of the diatopic variation in Old East Slavic charters by means of a small unannotated corpus-based language comparison”. Registration for this talk will close at midnight on Friday 6 March and the link for this can be accessed here: https://forms.gle/WXumpbms2BFMkFtu9 Participants will receive a Microsoft Teams link via email on the morning of the talk. The abstract for this talk can be found at this page<https://datainhistoricallinguistics.wordpress.com/2025/12/19/monday-9-march…>. The programme and registration links for all talks in the series can be found on our website: https://datainhistoricallinguistics.wordpress.com/2026-programme/ This seminar series is run by Andrea Farina (King’s College London) and Dr Mathilde Bru and is aimed at PhD students and early career researchers. The purpose of this seminar series is to bring together researchers working on historical linguistics with a quantitative approach, and to discuss current avenues of research in this topic. We hope that these seminars will nurture international collaboration and establish academic ties among researchers working on similar topics in this field. Join our mailing list<https://datainhistoricallinguistics.wordpress.com/join-us/>!

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Call for participation: ‘Statistics for linguistics with R’ bootcamp (06 - 10/07/2026)
by Magali Paquot 02 Mar '26

02 Mar '26

The Linguistics Research Unit of the Institute of Language and Communication (Université catholique de Louvain, Belgium) will be hosting Stefan Gries’s next bootcamp on statistics for linguistics with R from 06 to 10 July 2026. The ‘Statistics for linguistics with R’ bootcamp is a hands-on introduction to statistical methods for both graduate students and seasoned researchers and is loosely based on the third edition (2021) of Gries’s textbook Statistics for linguistics with R. The course is intended for linguists who already have a basic knowledge in statistics and some experience using R and who wish to improve their proficiency in statistical modeling of linguistic data. Using the open source software and programming language R, we will deal with: • fundamental aspects of fixed effects regression modeling for both numeric and binary response variables; these include exploration of data and their preparation for modeling, model formulation and selection; numerical and visual interpretation and evaluation of models; • more advanced aspects of fixed-effects regression modeling such as contrasts for ordinal predictors, orthogonal contrasts, curvature of numeric predictors, and maybe general linear hypothesis tests; • the theoretical foundations of mixed-effects regression modeling; • applications of mixed-effects modeling for both numeric and binary response variables; • tree-based methods and random forests: 'fitting' and interpreting them with importance scores, partial dependence scores, and detecting (not just capturing) interactions. Online registration will start on 2 March 2026, 1 pm CET (today!). The number of participants is limited. https://www.uclouvain.be/en/research-institutes/ilc/cecl/rling2026 Contact email : magali.paquot(a)uclouvain.be<mailto:magali.paquot@uclouvain.be> Magali Paquot Convenor

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GRACE@IberLEF2026: Clinical Argument Mining shared task in Spanish connecting Explainable AI and Evidence-Based Medicine
by aitziber.atucha＠ehu.eus 02 Mar '26

02 Mar '26

Registration open!! ######################################################## GRACE@IberLEF2026: https://www.codabench.org/competitions/13280/ ######################################################## ****We apologize for multiple postings of this e-mail**** GRACE@IberLEF2026 announces the first edition of a novel task on Argument Mining shared task in Spanish connecting Explainable AI and Evidence-Based Medicine across clinical trials and medical licensing examinations. ⚗️ Argument Mining Argument Mining automatically extracts claims and evidence from clinical text and reveals how they support or challenge each other, enabling transparent, traceable clinical reasoning. 🌍 Spanish, First GRACE is the first Argument Mining task in Spanish for the clinical domain, filling a key gap in multilingual biomedical NLP with fine-grained, entity-level annotations. Track 01 🔬 Clinical Trial Evidence & Argumentation This track focuses on abstracts of Randomized Controlled Trials (RCTs). Their standardized design, contrasting an intervention with a control group, provides a transparent path from data to conclusions, making argumentative components more accessible to automated systems. Goal: Identify argumentative components (claims and premises) and detect support/attack relations at the sentence level. Track 02 🩺 Clinical Case Reasoning (MIR) This track uses cases from the MIR (Médico Interno Residente) exam, Spain's national medical specialization test. Each instance pairs a dense clinical narrative with five competing diagnostic or treatment options, only one of which is correct. Goal: Extract fine-grained evidence spans that justify the correct option while refuting the incorrect alternatives. 📅 Important Dates 📂 Release of Training & Dev Sets March 18 🚀 Official Test Set Release April 22 ⏰ Deadline for Result Submission May 3 📊 Publication of Results May 8 📄 System Paper Submission May 24 ✅ Notification of Acceptance June 17 🎤 IberLEF Workshop (at SEPLN) September 22

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