Title
Neural Reasoning for Legal Text Understanding.
Abstract
We propose a domain specific Question Answering system. We deviate from approaching this problem as a Textual Entailment task. We implemented a Memory Network-based Question Answering system which test a Machine's understanding of legal text and identifies whether an answer to a question is correct or wrong, given some background knowledge. We also prepared a corpus of real USA MBE Bar exams for this task. We report our initial result and direction for future works.
Year
DOI
Venue
2016
10.3233/978-1-61499-726-9-175
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Question Answering,LSTM,LQA,Memory Networks,Neural networks
Question answering,Computer science,Artificial intelligence,Artificial neural network
Conference
Volume
ISSN
Citations 
294
0922-6389
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Kolawole John Adebayo121.08
Guido Boella21867162.59
Luigi Di Caro319535.21