relation: https://publications.ut-capitole.fr/id/eprint/48122/
title: Mapping the geometry of law using document embeddings
creator: Ash, Elliott
creator: Chen, Daniel L.
subject: B- ECONOMIE ET FINANCE
description: Recent work in natural language processing represents language objects (words and documents) as dense vectors that encode the relations between those objects. This paper explores the application of these methods to legal language, with the goal of understanding judicial reasoning and the relations between judges. In an application to federal appellate courts, we show that these vectors encode information that distinguishes courts, time, and legal topics. The vectors do not reveal spatial distinctions in terms of political party or law school attended, but they do highlight generational differences across judges. We conclude the paper by outlining a range of promising future applications of these methods.
publisher: IAST Working Paper
date: 2018-07
type: Monograph
type: NonPeerReviewed
format: text
language: en
identifier: https://publications.ut-capitole.fr/id/eprint/48122/1/Mapping_the_Geometry_of_Law_using_Document_Embeddings_EJELS.pdf
identifier:   Ash, Elliott and Chen, Daniel L. <https://www.idref.fr/241586631>  (2018) Mapping the geometry of law using document embeddings.  IAST Working Paper, n. 18-77, Toulouse     
relation: http://iast.fr/pub/32766
language: en