Corpora January 2026

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First Call for Participation: CL4Health @LREC 2026 Shared Task on Grounded EHR Question Answering (ArchEHR-QA 2026)
by Soni, Sarvesh (NIH/NLM) [E] 02 Jan '26

02 Jan '26

ArchEHR-QA 2026 (pronounced ��Archer��): CL4Health @LREC 2026 Shared Task on Grounded Question Answering (QA) from Electronic Health Records (EHRs) Website: https://archehr-qa.github.io/ Dataset (PhysioNet): https://doi.org/10.13026/zzax-sy62 Responding to patients�� inbox messages through patient portals is a major contributor to clinician workload. ArchEHR-QA focuses on automatically answering patients�� health-related questions using their own EHR notes, with an emphasis on producing answers that are grounded in (and explicitly linked to) supporting clinical evidence in the notes. Task Overview ArchEHR-QA 2026 is the second iteration of this shared task (following the ACL 2025 BioNLP edition). This year expands the dataset and introduces four complementary subtasks. Teams may participate in any subset of subtasks, and separate leaderboards will be maintained for each subtask. Subtasks: 1) Subtask 1 �� Question Interpretation: Transform a free-text patient-authored question into a concise clinician-interpreted question (�� 15 words). 2) Subtask 2 �� Evidence Identification: Select the minimal set of sentence IDs from the provided note excerpt that supports answering the question. 3) Subtask 3 �� Answer Generation: Generate an answer grounded in the provided note excerpt (�� 75 words). 4) Subtask 4 �� Evidence Alignment: For each answer sentence, identify the supporting note sentence(s) (sentence-level answer�Cevidence alignment). This year��s shared task follows a staged test data release schedule, with separate deadlines for Subtask 1, Subtasks 2�C3, and Subtask 4. Important Dates (Tentative) * First call for participation / Release of development dataset: January 2 (Friday), 2026 * Test dataset release: * Subtask 1: January 19 (Monday), 2026 * Subtasks 2�C3: January 26 (Monday), 2026 * Subtask 4: February 16 (Monday), 2026 * Submission of system responses: * Subtask 1: January 26 (Monday), 2026 * Subtasks 2�C3: February 16 (Monday), 2026 * Subtask 4: March 2 (Monday), 2026 * Submission of shared task papers (optional): March 13 (Friday), 2026 * Notification of acceptance: March 24 (Tuesday), 2026 * Camera-ready system papers due: March 31 (Tuesday), 2026 * CL4Health Workshop Date (LREC 2026): May 12 (Tuesday), 2026 For more information about participation and submission, please visit the shared task website. Join our Google Group (recommended) Google Group: https://groups.google.com/g/archehr-qa For questions, please use the Google Group or email: sarvesh.soni(a)nih.gov<mailto:sarvesh.soni@nih.gov> Program Committee We are also looking for people to join the program committee (responsibilities include reviewing papers). If you are interested, please email sarvesh.soni(a)nih.gov<mailto:sarvesh.soni@nih.gov>. Looking forward to your participation, Organizers: Sarvesh Soni, U.S. National Library of Medicine, NIH Dina Demner-Fushman, U.S. National Library of Medicine, NIH

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Third and Final Call for Papers: The Second Workshop on Language Models for Low-Resource Languages (LoResLM 2026 @ EACL)
by Ranasinghe, Tharindu 02 Jan '26

02 Jan '26

𝗧𝗵𝗶𝗿𝗱 𝗮𝗻𝗱 𝗙𝗶𝗻𝗮𝗹 𝗖𝗮𝗹𝗹 𝗳𝗼𝗿 𝗣𝗮𝗽𝗲𝗿𝘀 - 𝗧𝗵𝗲 𝗦𝗲𝗰𝗼𝗻𝗱 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽 𝗼𝗻 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗟𝗼𝘄-𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 [Workshop website - https://loreslm.github.io/home] [CFP - https://loreslm.github.io/cfp] [Submissions - https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM] Neural language models have revolutionised natural language processing (NLP) and have provided state-of-the-art results for many tasks. However, their effectiveness is largely dependent on the pre-training resources. Therefore, language models (LMs) often struggle with low-resource languages in both training and evaluation. Recently, there has been a growing trend in developing and adopting LMs for low-resource languages. Supporting this important shift, LoResLM aims to provide a forum for researchers to share and discuss their ongoing work on LMs for low-resource languages. 𝗧𝗼𝗽𝗶𝗰𝘀 LoResLM 2026 invites submissions on a broad range of topics related to the development and evaluation of neural language models for low-resource languages. We welcome research that explores modalities beyond text and encourage work on low-resource dialects in addition to major language varieties. Topics of interest include, but are not limited to: • Building language models for low-resource languages. • Adapting/extending existing language models/large language models for low-resource languages. • Corpora creation and curation technologies for training language models/large language models for low-resource languages. • Benchmarks to evaluate language models/large language models in low-resource languages. • Prompting/in-context learning strategies for low-resource languages with large language models. • Review of available corpora to train/fine-tune language models/large language models for low-resource languages. • Multilingual/cross-lingual language models/large language models for low-resource languages. • Multimodal language models/large language models for low-resource languages • Applications of language models/large language models for low-resource languages (i.e. machine translation, chatbots, content moderation, etc.) 𝗦𝘂𝗯𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗚𝘂𝗶𝗱𝗲𝗹𝗶𝗻𝗲𝘀 We follow the EACL 2026 standards for submission format and guidelines. LoResLM 2026 invites submissions of long papers up to 8 pages and short papers up to 4 pages. These page limits only apply to the main body of the paper. At the end of the paper (after the conclusions but before the references), papers need to include a mandatory section discussing the limitations of the work and, optionally, a section discussing ethical considerations. Papers can include unlimited pages of references and an appendix. To prepare your submission, please make sure to use the EACL 2026 style files available here: • LaTeX - https://github.com/acl-org/acl-style-files • Overleaf - https://www.overleaf.com/latex/templates/association-for-computational-ling… Papers should be submitted through OpenReview using the following link: https://openreview.net/group?id=eacl.org/EACL/2026/Workshop/LoResLM 𝗜𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁 𝗗𝗮𝘁𝗲𝘀 • Paper submission: 6th January 2026 • Notification of acceptance: 28th January 2026 • Camera-ready submission: 3rd February 2026 • Workshop: 29th March 2026 @ EACL 𝗩𝗲𝗻𝘂𝗲 LoResLM 2026 will be held in conjunction with EACL 2026 in Rabat, Morocco. 𝗣𝗿𝗼𝗰𝗲𝗲𝗱𝗶𝗻𝗴𝘀 Proceedings of the workshop will appear in the ACL Anthology. For the past proceedings, please refer https://scholar.google.co.uk/citations?user=rvm3HOgAAAAJ&hl=en 𝗞𝗲𝘆𝗻𝗼𝘁𝗲 𝗦𝗽𝗲𝗮𝗸𝗲𝗿 Prof Barbara Plank - Full professor and chair for AI and Computational Linguistics at Ludwig-Maximilians-Universität München, Head of the Munich AI and NLP (MaiNLP) lab, and co-director of the Centre for Information and Language Processing (CIS) 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 David Ifeoluwa Adelani - McGill School of Computer Science, Canada Idris Abdulmumin - University of Pretoria, South Africa Godfred Agyapong - University of Florida, USA Isuri Anuradha - Lancaster University, UK Laura Bernardy - University of Luxembourg, Luxembourg Ana-Maria Bucur - University of Lugano, Switzerland Eleftheria Briakou - Google Tommaso Caselli - University of Groningen, Netherlands Çağrı Çöltekin - University of Tübingen, Germany Charibeth Ko Cheng - De La Salle University, Philippines Claudiu Creanga - University of Bucharest Sourabh Deoghare - Indian Institute of Technology, Bombay, India Bosheng Ding - Nanyang Technological University, Singapore Alphaeus Dmonte - George Mason University, USA Daan van Esch - Google Ignatius Ezeani - Lancaster University, UK Anna Furtado - University of Galway, Ireland Ona de Gibert - University of Helsinki, Finland Amal Htait - Aston University, UK Diptesh Kanojia - University of Surrey, UK Jaroslav Kopčan - Kempelen Institute of Intelligent Technologies, Slovakia Constantine Lignos - Brandeis University, USA Cedric Lothritz - Luxembourg Institute of Science and Technology, Luxembourg Anne-Marie Lutgen - University of Luxembourg, Luxembourg Sheng Li - Institute of Science Tokyo, Japan Veronika Lipp - Hungarian Research Centre for Linguistics, Hungary Vukosi Marivate - University of Pretoria, South Africa Muhidin Mohamed - Aston University, UK Simon Münker - Trier University, Germany Abiodun Modupe - University of Pretoria, South Africa Fred Philippy - University of Luxembourg, Luxembourg Md Nishat Raihan - George Mason University, USA Mariana Romanyshyn - Grammarly Guokan Shang - Mohamed bin Zayed University of Artificial Intelligence, France Ravi Shekhar - University of Essex, UK Archchana Sindhujan - University of Surrey, UK Hristo Tanev - Joint Research Centre, European Commission Uthayasanker Thayasivam - University of Moratuwa, Sri Lanka Raúl Vázquez - University of Helsinki, Finland Taro Watanabe - Nara Institute of Science and Technology, Japan- Zheng Xin Yong - Brown University, USA Alexandra Zbaganu - University of Bucharest, Romania 𝗢𝗿𝗴𝗮𝗻𝗶𝘀𝗶𝗻𝗴 𝗖𝗼𝗺𝗺𝗶𝘁𝘁𝗲𝗲 Hansi Hettiarachchi – Lancaster University, UK Tharindu Ranasinghe – Lancaster University, UK Alistair Plum – University of Luxembourg, Luxembourg Damith Premasiri – Lancaster University, UK Fiona Anting Tan – National University of Singapore, Singapore Lasitha Uyangodage – University of Münster, Germany 𝗔𝗱𝘃𝗶𝘀𝗼𝗿𝘀 Paul Rayson – Lancaster University, UK Ruslan Mitkov – Lancaster University, UK Mohamed Gaber – Queensland University of Technology, Australia 𝗦𝘂𝗽𝗽𝗼𝗿𝘁𝗲𝗱 𝗯𝘆 The workshop is supported in part by the Artificial Intelligence Journal, which promotes and disseminates AI research. 𝗖𝗼𝗻𝘁𝗮𝗰𝘁 𝘂𝘀 Contact us through loreslm.contact(a)gmail.com. Follow us on social media • LinkedIn - https://www.linkedin.com/company/loreslm/ • X - https://x.com/LoResLM2026 • BlueSky - https://bsky.app/profile/loreslm.bsky.social Best Regards Tharindu Ranasinghe, on behalf of the organising committee, LoResLM 2026 Dr Tharindu Ranasinghe | Lecturer in Security and Protection Science School of Computing and Communications | Lancaster University www.lancaster.ac.uk<https://www.lancaster.ac.uk/>

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Reminder: Two PhD positions at Leipzig University in Natural Language Processing/Computational Linguistics
by leonie.weissweiler＠lingfil.uu.se 01 Jan '26

01 Jan '26

There are two open PhD positions in Natural Language Processing available at the Institute for Computer Science at Leipzig University, in the group of Leonie Weissweiler. Potential research topics include but aren’t limited to: - Linguistic Interpretability - Multilingual Evaluation - Computational Typology Positions are fully funded for at least three years and will be affiliated with the ScaDS.AI graduate school. Ideal PhD candidates have a master's degree in computational linguistics, computer science or a related discipline. Positions: Full-time (TV-L E13) for 3 years Preferred start date: 1st of April 2026 More information: https://leonieweissweiler.github.io/phd_leipzig.pdf Application deadline: 15th of January 2026

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