TY - GEN
T1 - Focused entailment graphs for open IE propositions
AU - Levy, Omer
AU - Dagan, Ido
AU - Goldberger, Jacob
N1 - Publisher Copyright:
© 2014 Association for Computational Linguistics.
PY - 2014
Y1 - 2014
N2 - Open IE methods extract structured propositions from text. However, these propositions are neither consolidated nor generalized, and querying them may lead to insufficient or redundant information. This work suggests an approach to organize open IE propositions using entailment graphs. The entailment relation unifies equivalent propositions and induces a specific-to-general structure. We create a large dataset of gold-standard proposition entailment graphs, and provide a novel algorithm for automatically constructing them. Our analysis shows that predicate entailment is extremely context-sensitive, and that current lexical-semantic resources do not capture many of the lexical inferences induced by proposition entailment.
AB - Open IE methods extract structured propositions from text. However, these propositions are neither consolidated nor generalized, and querying them may lead to insufficient or redundant information. This work suggests an approach to organize open IE propositions using entailment graphs. The entailment relation unifies equivalent propositions and induces a specific-to-general structure. We create a large dataset of gold-standard proposition entailment graphs, and provide a novel algorithm for automatically constructing them. Our analysis shows that predicate entailment is extremely context-sensitive, and that current lexical-semantic resources do not capture many of the lexical inferences induced by proposition entailment.
UR - http://www.scopus.com/inward/record.url?scp=84959927632&partnerID=8YFLogxK
U2 - 10.3115/v1/w14-1610
DO - 10.3115/v1/w14-1610
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AN - SCOPUS:84959927632
T3 - CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings
SP - 87
EP - 97
BT - CoNLL 2014 - 18th Conference on Computational Natural Language Learning, Proceedings
PB - Association for Computational Linguistics (ACL)
T2 - 18th Conference on Computational Natural Language Learning, CoNLL 2014
Y2 - 26 June 2014 through 27 June 2014
ER -