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Identifying Causal Relations in Legal Documents with Dependency Syntactic Analysis

Authors Pablo Gamallo , Patricia Martín-Rodilla , Beatriz Calderón

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Subject Classification

ACM Subject Classification
  • Computing methodologies → Natural language processing
Keywords
  • Dependency Analysis
  • Discourse Analysis
  • Causal Markers
  • Legal Documents

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Abstract

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.

Cite As Get BibTex

Pablo Gamallo, Patricia Martín-Rodilla, and Beatriz Calderón. Identifying Causal Relations in Legal Documents with Dependency Syntactic Analysis. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 20:1-20:6, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019) https://doi.org/10.4230/OASIcs.SLATE.2019.20

Author Details

Pablo Gamallo
  • Centro de Investigación en Tecnoloxías Intelixentes (CiTIUS), University of Santiago de Compostela, Galiza
Patricia Martín-Rodilla
  • Centro de Investigación en Tecnoloxías Intelixentes (CiTIUS), University of Santiago de Compostela, Galiza
Beatriz Calderón
  • University of Santiago de Compostela, Galiza

Funding

This work has received financial support from the DOMINO project (PGC2018-102041-B-I00, MCIU/AEI/FEDER, UE), eRisk project (RTI2018-093336-B-C21), the Consellería de Cultura, Educación e Ordenación Universitaria (accreditation 2016-2019, ED431G/08) and the European Regional Development Fund (ERDF).

References

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