D 2016

Word2vec Based System for Recognizing Partial Textual Entailment

VÍTA, Martin and Vincent KRÍŽ

Basic information

Original name

Word2vec Based System for Recognizing Partial Textual Entailment

Authors

VÍTA, Martin (203 Czech Republic, belonging to the institution) and Vincent KRÍŽ (203 Czech Republic)

Edition

NEW YORK, PROCEEDINGS OF THE 2016 FEDERATED CONFERENCE ON COMPUTER SCIENCE AND INFORMATION SYSTEMS (FEDCSIS), p. 513-516, 4 pp. 2016

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

10201 Computer sciences, information science, bioinformatics

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

RIV identification code

RIV/00216224:14330/16:00094081

Organization unit

Faculty of Informatics

ISBN

978-83-60810-90-3

ISSN

DOI

UT WoS

000392436600073

Keywords in English

textual entailment; word2vec model; faceted entailment

Tags

Tags

International impact, Reviewed
Změněno: 27/4/2017 12:46, RNDr. Pavel Šmerk, Ph.D.

Abstract

V originále

Recognizing textual entailment is typically considered as a binary decision task whether a text T entails a hypothesis H. Thus, in case of a negative answer, it is not possible to express that IT is "almost entailed" by T. Partial textual entailment provides one possible approach to this issue. This paper presents an attempt to use word2vec model for recognizing partial (faceted) textual entailment. The proposed approach does not rely on language dependent NIT tools and other linguistic resources, therefore it can he easily implemented in different language environments where word2vec models are available.