LAW 2026

Deadlines
NLP/CORE Unranked

LAW 2026

The 20th Linguistic Annotation Workshop (LAW XX) - ARR Commitment

Jul 03 2026San Diego, CA, USAOfficial workshop site Site reachable

LAW XX (2026) is the 20th Linguistic Annotation Workshop, co-located with ACL 2026 in San Diego, serving as the annual forum for the ACL and ELRA Special Interest Group on Annotation (SIGANN). It focuses on innovative research in linguistic annotation, including annotation schemes, methods for manual and automatic annotation, annotation software, data representation, and interoperability, with a special theme on errors in annotation—addressing objectively incorrect annotations in both human- and LLM-generated datasets.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

March 24, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

March 24, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Long papers

Must not exceed eight (8) pages of content; references, limitation and ethical consideration sections, and appendices do not count against the limit.

Short papers

Must not exceed four (4) pages of content; references, limitation and ethical consideration sections, and appendices do not count against the limit.

Demonstrations

Must not exceed four (4) pages of content; references, limitation and ethical consideration sections, and appendices do not count against the limit.

Posters

Related to the special theme or any aspect of linguistic annotation; presented during the hybrid poster session.

Position papers

Substantiated position papers are invited, particularly regarding the special theme on errors in annotation.

Research areas in scope

01

General Linguistic Annotation Topics

Creation and evaluation of annotation schemesMethods for automatic and manual annotationUse and evaluation of annotation software and frameworksRepresentation of linguistic data and annotationsSemi-supervised 'human in the loop' methods of annotationCrowd-sourcing approachesAnnotation evaluationInter-annotator agreement and other evaluation metricsQualitative evaluation of linguistic representationsInnovative means to evaluate annotation qualityAnnotation access and useRepresentation formats/structures for annotations of different phenomenaAnnotation schemes, guidelines and standardsNew and innovative annotation schemesComparison of annotation schemesMethodologies and resources for annotation scheme developmentBest practices for annotation procedures and documentationInteroperability of annotation formats and frameworksResults from application and evaluation of standards for linguistic annotationDevelopment, evaluation and innovative use of annotation software frameworks
02

Special Theme: Errors in Annotation

Annotation error detectionAnnotation error correctionError type classificationError detection and correction in crowd-sourced annotationsErrors in LLM-generated annotationsRole of error analysis in improving data qualityTechniques or tools to quantify data quality

Policies worth checking twice

  • Submissions must be original and unpublished research.
  • Papers must not have been or be submitted to other meetings with publicly available proceedings.
  • Reviewing is double-blind: authors' names, affiliations, and self-references revealing identity must be omitted.
  • Long papers are limited to 8 pages of content; short papers and demonstrations to 4 pages; references, optional limitation/ethical sections, and appendices do not count against limits.
  • Appendices must not contain essential details needed to understand or review the paper.
  • All submissions must be in PDF format.
  • Authors must disclose if papers are submitted to or will be submitted to other meetings or publications.
  • Accepted papers must be presented at the workshop (in-person or virtually).

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Last verified September 9, 2026