Publikation
Relation Validation via Textual Entailment
Rui Wang; Günter Neumann
In: Benjamin Adrian; Günter Neumann; Alexander Troussov; Borislav Popov (Hrsg.). 1st International and KI-08 Workshop on Ontology-based Information Extraction Systems. International and KI-Workshop on Ontology-based Information Extraction Systems (OBIES-2008), located at KI 2008, September 23-26, Kaiserslautern, Germany, Pages 26-37, CEUR Workshop Proceedings Online, Vol. 400, CEUR, 2008.
Zusammenfassung
This paper addresses a subtask of relation extraction, namely
Relation Validation. Relation validation can be described as follows: given an
instance of a relation and a relevant text fragment, the system is asked to decide
whether this instance is true or not. Instead of following the common
approaches of using statistical or context features directly, we propose a method
based on textual entailment (called ReVaS). We set up two different
experiments to test our system: one is based on an annotated data set; the other
is based on real web data via the integration of ReVaS with an existing IE
system. For the latter case, we examine in detail the two aspects of the
validation process, i.e. directionality and strictness. The results suggest that
textual entailment is a feasible way for the relation validation task.