Multiple choice question answering in the legal domain using reinforced co-occurrence

Authors Jorge Martínez Gil
Bernhard Freudenthaler
A Min Tjoa
Editors S. Hartmann
J. Küng
S. Chakravarthy
G. Anderst-Kotsis
A Min Tjoa
I. Khalil
Title Multiple choice question answering in the legal domain using reinforced co-occurrence
Booktitle Database and Expert Systems Applications - Proc. DEXA 2019, Part I
Type in proceedings
Publisher Springer
Series Lecture Notes of Computer Science
Volume 11706
ISBN 978-3-030-27614-0
DOI 10.1007/978-3-030-27615-7_10
Month August
Year 2019
Pages 138-148
SCCH ID# 19034
Abstract

Nowadays, the volume of legal information available is continuously growing. As a result, browsing and querying this huge legal corpus in search of specific information is currently a tedious task exacerbated by the fact that data presentation does not usually meet the needs of professionals in the sector. To satisfy these ever-increasing needs, we have designed an appropriate solution to provide an adaptive and intelligent solution for the automatic answer of questions of legal content based on the computation of reinforced co-occurrence, i.e. a very demanding type of co-occurrence that requires large volumes of information but guarantees good results. This solution is based on the pattern-based methods that have been already successfully applied in information extraction research. An empirical evaluation over a dataset of legal questions seems to indicate that this solution is promising.