Proceedings of the BioNLP 2026 (Shared Tasks)
Summary
The "Proceedings of the BioNLP 2026 (Shared Tasks)" document outlines the official metadata and a correction process for this academic publication, co-edited by Deepak Gupta and Dina Demner-Fushman. Published in July 2026 by the Association for Computational Linguistics, the proceedings are associated with the BioNLP and WS venues in San Diego, California, USA. Key identifiers include Anthology ID 2026.bionlp-2.0 and DOI 10.18653/v1/2026.bionlp-2.0. The document provides various citation formats, including BibTeX and ACL. A dedicated GitHub issue form is available for submitting metadata corrections, emphasizing that PDFs are considered the authoritative source for verification.
Key takeaway
For research scientists or NLP engineers citing the BioNLP 2026 proceedings, ensure all bibliographic data, including author names and titles, precisely matches the official PDF. If discrepancies exist, utilize the provided GitHub issue form to submit corrections, as the Anthology treats PDFs as authoritative. This prevents citation errors and maintains academic record accuracy.
Key insights
The ACL Anthology provides a structured process for correcting metadata associated with published BioNLP 2026 proceedings.
Principles
- PDFs are authoritative for corrections.
- Metadata corrections require staff review.
- Structured data ensures accuracy.
Method
Submit metadata corrections via a GitHub issue form, ensuring data aligns with the PDF, then await staff review for approval.
In practice
- Use GitHub for metadata adjustments.
- Verify changes against the PDF.
- Utilize provided citation formats.
Topics
- BioNLP 2026
- Shared Tasks
- ACL Anthology
- Metadata Management
- Citation Standards
- Natural Language Processing
Best for: AI Scientist, NLP Engineer, Research Scientist
Related on AIssential
Editorial summary, takeaway, and curation by AIssential. Original article published by Paper Index on ACL Anthology.