Unsupervised Extraction of Workplace Rights and Duties from Collective Bargaining Agreements

Open access
Date
2020Type
- Conference Paper
ETH Bibliography
yes
Altmetrics
Abstract
This paper describes an unsupervised legal document parser which performs a decomposition of labor union contracts into discrete assignments of rights and duties among agents of interest. We use insights from deontic logic applied to modal categories and other linguistic patterns to generate topic-specific measures of relative legal authority. We illustrate the consistency and efficiency of the pipeline by applying it to a large corpus of 35K contracts and validating the resulting outputs. © 2020 IEEE Show more
Permanent link
https://doi.org/10.3929/ethz-b-000453825Publication status
publishedExternal links
Book title
2020 International Conference on Data Mining Workshops (ICDMW)Pages / Article No.
Publisher
IEEEEvent
Subject
Unsupervised Extraction; Information Mining; Legal Corpus AnalysisOrganisational unit
09627 - Ash, Elliott / Ash, Elliott
Notes
Due to the Coronavirus (COVID-19) the conference was conducted virtually.More
Show all metadata
ETH Bibliography
yes
Altmetrics