(Apologies for cross-posting) ====================================================================
FIRST 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/ Submissions (OpenReview): https://openreview.net/group?id=aclweb.org/AACL-IJCNLP/2026/Workshop/WASP ==================================================================== 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 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, [email protected] We look forward to your contributions. -- *Atilla Kaan Alkan* *Postdoctoral Research Fellow* NASA Astrophysics Data System *Harvard-Smithsonian Center for Astrophysics* 60 Garden Street | MS 83 | Cambridge, MA 02138 ads.harvard.edu | *scixplorer.org* <http://scixplorer.org> | *atillaalkan.com <http://atillaalkan.com>*
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