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SSRNML & AI Methods

Bridging the Gap in Legal Document Analysis

The article promotes the application of legal theory in machine learning to extract information from legal texts, with a focus on the interest theory of rights and the Hohfeldian taxonomy of legal relations.

Featured in No. 13 on 24 Aug 2023 · 49 days after release

Released
6 Jul 2023
First featured
No. 13 · 24 Aug 2023
Published in
Not yet, as far as Semantic Scholar knows
Shares when featured
2
Identifier
SSRN 4545060

Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).

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