2026-07-24T12:23:45Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:10887 2024-03-06T10:30:46Z ddc:004 open_access

Identifying Causal Relations in Legal Documents with Dependency Syntactic Analysis Gamallo, Pablo Martín-Rodilla, Patricia Calderón, Beatriz Dependency Analysis Discourse Analysis Causal Markers Legal Documents This article describes a method for enriching a dependency-based parser with causal connectors. Our specific objective is to identify causal relationships between elementary discourse units in Spanish legal texts. For this purpose, the approach we follow is to search for specific discourse connectives which are taken as causal dependencies relating an effect event (head) with a verbal or nominal cause (dependent). As a result, we turn a specific syntactic parser into a discourse parser aimed at recognizing causal structures. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Pablo Gamallo and Patricia Martín-Rodilla and Beatriz Calderón 2019 Is Part Of OASIcs, Volume 74, 8th Symposium on Languages, Applications and Technologies (SLATE 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.SLATE.2019.20 urn:nbn:de:0030-drops-108870 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2019.20 eng https://creativecommons.org/licenses/by/3.0/legalcode