eprintid: 48122 rev_number: 14 eprint_status: archive userid: 1482 importid: 105 dir: disk0/00/04/81/22 datestamp: 2024-03-21 09:29:28 lastmod: 2024-11-15 14:39:20 status_changed: 2024-11-15 14:39:20 type: monograph metadata_visibility: no_search creators_name: Ash, Elliott creators_name: Chen, Daniel L. creators_id: daniel.chen@iast.fr creators_idrefppn: 241586631 creators_affiliation: Toulouse School of Economics; Institute for Advanced Study in Toulouse; Centre national de la recherche scientifique creators_halaffid: 1002422; 506116; 441569 title: Mapping the geometry of law using document embeddings ispublished: pub subjects: subjects_ECO abstract: 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. date: 2018-07 date_type: published publisher: IAST Working Paper official_url: http://iast.fr/pub/32766 faculty: tse divisions: tse language: en has_fulltext: TRUE view_date_year: 2018 full_text_status: public monograph_type: working_paper series: IAST Working Paper volume: 18-77 place_of_pub: Toulouse pages: 22 department: Toulouse School of Economics book_title: IAST Working Paper oai_identifier: oai:tse-fr.eu:32766 harvester_local_overwrite: department harvester_local_overwrite: pending harvester_local_overwrite: creators_idrefppn harvester_local_overwrite: title harvester_local_overwrite: creators_halaffid harvester_local_overwrite: pages harvester_local_overwrite: place_of_pub harvester_local_overwrite: creators_id harvester_local_overwrite: creators_affiliation oai_lastmod: 2024-04-26T15:00:45Z oai_set: tse site: ut1 citation: Ash, Elliott and Chen, Daniel L. (2018) Mapping the geometry of law using document embeddings. IAST Working Paper, n. 18-77, Toulouse document_url: https://publications.ut-capitole.fr/id/eprint/48122/1/Mapping_the_Geometry_of_Law_using_Document_Embeddings_EJELS.pdf