A Statistics-Based Semantic Textual Entailment System

Autor:	Partha Pakray, Alexander Gelbukh, Sivaji Bandyopadhyay, Utsab Barman
Rok vydání:	2011
Předmět:	Universal Networking Language business.industry Computer science Recognition system Artificial intelligence Textual entailment business computer.software_genre Logical consequence computer Natural language processing Test (assessment)
Zdroj:	Advances in Artificial Intelligence ISBN: 9783642253232 MICAI (1) ResearcherID
DOI:	10.1007/978-3-642-25324-9_23
Popis:	We present a Textual Entailment (TE) recognition system that uses semantic features based on the Universal Networking Language (UNL). The proposed TE system compares the UNL relations in both the text and the hypothesis to arrive at the two-way entailment decision. The system has been separately trained on each development corpus released as part of the Recognizing Textual Entailment (RTE) competitions RTE-1, RTE-2, RTE-3 and RTE-5 and tested on the respective RTE test sets.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1be11bf73bed4354db3579da10bdcd29 https://doi.org/10.1007/978-3-642-25324-9_23 Zobrazit plný text záznamu