Hung Yen University of Education and Technology

Hưng Yên, Vietnam

Hung Yen University of Education and Technology

Hưng Yên, Vietnam
SEARCH FILTERS
Time filter
Source Type

Carvalho D.S.,Japan Advanced Institute of Science and Technology | Nguyen M.-T.,Japan Advanced Institute of Science and Technology | Nguyen M.-T.,Hung Yen University of Education and Technology | Tran C.-X.,Japan Advanced Institute of Science and Technology | Nguyen M.-L.,Japan Advanced Institute of Science and Technology
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

In the context of the Competition on Legal Information Extraction/Entailment (COLIEE), we propose a method comprising the necessary steps for finding relevant documents to a legal question and deciding on textual entailment evidence to provide a correct answer. The proposed method is based on the combination of several lexical and morphological characteristics, to build a language model and a set of features for Machine Learning algorithms. We provide a detailed study on the proposed method performance and failure cases, indicating that it is competitive with state-of-the-art approaches on Legal Information Retrieval and Question Answering, while not needing extensive training data nor depending on expert produced knowledge. The proposed method achieved significant results in the competition, indicating a substantial level of adequacy for the tasks addressed. © Springer International Publishing AG 2017.

Loading Hung Yen University of Education and Technology collaborators
Loading Hung Yen University of Education and Technology collaborators