A GitHub-based Workflow for Annotated Resource Development

Computational linguists have long recognized the value of version control systems such as Git (and related platforms, e.g., GitHub) when it comes to managing and distributing computer code.However, the benefits of version control remain under-explored for a central activity within computational linguistics: the development of annotated natural language resources.We argue that researchers can employ version control practices to make development workflows more transparent, efficient, consistent, and participatory.We report a proof-of-concept, GitHub-based solution which facilitated the creation of a legal English treebank.

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Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.law-1.27
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00

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article

A GitHub-based Workflow for Annotated Resource Development

Nathan Schneider, Brandon Waldon
Scientific Computing and Data Management
article

A GitHub-based Workflow for Annotated Resource Development

Nathan Schneider, Brandon Waldon
article en

Abstract

Computational linguists have long recognized the value of version control systems such as Git (and related platforms, e.g., GitHub) when it comes to managing and distributing computer code.However, the benefits of version control remain under-explored for a central activity within computational linguistics: the development of annotated natural language resources.We argue that researchers can employ version control practices to make development workflows more transparent, efficient, consistent, and participatory.We report a proof-of-concept, GitHub-based solution which facilitated the creation of a legal English treebank.

Georgetown University (US)
National Science Foundation
Openalex Percentile: Top 81%
Scientific Computing and Data Management
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