Unpublished conference/Abstract (Scientific congresses, symposiums and conference proceedings)
An approach to information retrieval and question answering in the legal domain
Adebayo, Kolawole John; Di Caro, Luigi; Boella, Guido et al.
2016Proceedings of the Tenth International Workshop on Juris-informatics (JURISIN)
 

Files


Full Text
paper 18.pdf
Author postprint (309.86 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Keywords :
Child-Sum Tree LSTM; Information Retrieval; Textual entailment
Abstract :
[en] We describe in this paper, a report of our participation at COLIEE 2016 Information Retrieval (IR) and Legal Question Answering (LQA) tasks. Our solution for the IR part employs the use of a simple but effective Machine Learning (ML) procedure. Our Question Answering solution answers "YES or 'NO' to a question, i.e., 'YES' if the question is entailed by a text and 'NO' otherwise. With recent exploit of Multi-layered Neural Network systems at language modeling tasks, we presented a Deep Learning approach which uses an adaptive variant of the Long-Short Term Memory (LSTM), i.e. the Child Sum Tree LSTM (CST-LSTM) algorithm that we modified to suit our purpose. Additionally, we benchmarked this approach by handcrafting features for two popular ML algorithms, i.e., the Support Vector Machine (SVM) and the Random Forest (RF) algorithms. Even though we used some features that have performed well from similar works, we also introduced some semantic features for performance improvement. We used the results from these two algorithms as the baseline for our CST-LSTM algorithm. All evaluation was done on the COLIEE 2015 training and test sets. The overall result conforms the competitiveness of our approach.
Disciplines :
Engineering, computing & technology: Multidisciplinary, general & others
Author, co-author :
Adebayo, Kolawole John ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Computer Science and Communications Research Unit (CSC)
Di Caro, Luigi;  Università degli Studi di Torino - Unito > Dipartimento di Informatica > Assistant Professor
Boella, Guido;  Università degli Studi di Torino - Unito > Dipartimento di Informatica > Full Professor
Bartolini, Cesare ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
An approach to information retrieval and question answering in the legal domain
Publication date :
15 November 2016
Number of pages :
14
Event name :
Proceedings of the Tenth International Workshop on Juris-informatics (JURISIN)
Event place :
Kanagawa, Japan
Event date :
from 14-11-2016 to 15-11-2016
Audience :
International
Focus Area :
Law / European Law
Available on ORBilu :
since 15 January 2017

Statistics


Number of views
343 (12 by Unilu)
Number of downloads
604 (12 by Unilu)

Bibliography


Similar publications



Contact ORBilu