Workshop Description

Linguistic annotation of natural language corpora is the backbone of supervised methods of statistical natural language processing. The Linguistic Annotation Workshop (LAW) is the annual workshop of the ACL Special Interest Group on Annotation (SIGANN), and it provides a forum for the presentation and discussion of innovative research on all aspects of linguistic annotation, including the creation and evaluation of annotation schemes, methods for automatic and manual annotation, use and evaluation of annotation software and frameworks, representation of linguistic data and annotations, semi-supervised “human in the loop” methods of annotation, crowd-sourcing approaches, and more. As in the past, the LAW will provide a forum for annotation researchers to work towards standardization, best practices, and interoperability of annotation information and software.

Anti-Harassment Policy

ACL Anti-Harassment Policy.

Author Responsibilities

Papers must be of original, previously-unpublished work. Papers must be anonymized to support double-blind reviewing. If the paper is available as a preprint, this must be indicated on the submission form but not in the paper itself. There will be an anonymity period during which non-anonymous posting of preprints is not allowed.


The LAW XVII is kindly supported by:

Explosion AI

Makers of Prodigy, a fully scriptable annotation tool for machine learning


The Bosch Center for Artificial Intelligence (BCAI) is leading among the industrial AI research centers in Europe. BCAI develops modern AI technologies for Bosch products and services "invented for life." Together with experts from all over the globe, Bosch conducts cutting edge research in applied AI.