Volume •Abstracts •Preface •Authors •Keywords •BibTex Entries

COLIEE 2017: Volume Information

COLIEE 2017. 4th Competition on Legal Information Extraction and Entailment

Editors: Ken Satoh, Mi-Young Kim, Yoshinobu Kano, Randy Goebel and Tiago Oliveira

EPiC Series in Computing•Volume 47

8 articles•89 pages•Published: June 3, 2017

Papers

Overview of COLIEE 2017

Yoshinobu Kano, Mi-Young Kim, Randy Goebel and Ken Satoh

1-8

A Civil Code Article Information Retrieval System based on Phrase Alignment with Article Structure Analysis and Ensemble Approach

Masaharu Yoshioka and Daiki Onodera

9-22

Multiple Agent Based Entailment System(MABES) for RTE

Byungtaek Jung, Chiseung Soh, Kihyun Hong, Seungtak Lim and Young-Yik Rhim

23-30

Recognizing entailments in legal texts using sentence encoding-based and decomposable attention models

Nguyen Truong Son, Phan Viet Anh and Nguyen Le Minh

31-42

Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities

Danilo S. Carvalho, Vu Tran, Khanh Van Tran and Nguyen Le Minh

43-56

Analyzable Legal Yes/No Question Answering System using Linguistic Structures

Yoshinobu Kano, Reina Hoshino and Ryosuke Taniguchi

57-67

Legal Information Retrieval Using Topic Clustering and Neural Networks

Rohan Nanda, Adebayo Kolawole John, Luigi Di Caro, Guido Boella and Livio Robaldo

68-78

Legal Question Answering System using Neural Attention

Ayaka Morimoto, Daiki Kubo, Motoki Sato, Hiroyuki Shindo and Yuji Matsumoto

79-89

Keyphrases

COLIEE², deep learning, distributional semantics, Ensemble approach, entailment extraction, hybrid method for RTE, Information Retrieval⁴, Japanese civil code, juris-informatics, language modeling, Legal Bar Exam, Legal Document Processing², legal entailment, legal information retrieval, legal knowledge base, Legal Question Answering, Natural Language Processing, negation rule, neural networks, Phrase matching, Question Answering², recognition textual entailment, Recognizing Textual Entailment, RTE, similarity, syntactic analysis, Term Order Probabilities, Textual Entailment², topic clustering, Yes/No Question Answering.