Sagan in TAC2009: Using Support Vector Machines in Recognizing Textual Entailment and TE Search Pilot task
Julio Javier Castillo · Theory and applications of categories · 2009
This paper describes the Sagan system in the context of the Fifth Pascal Recognizing Textual Entailment (RTE-5) Evaluation Challenge and the new Textual Entailment Search Pilot Task. The system employs a Support Vector Machine classifier with a set of 32 features, which includes lexical and semantic similarity for both two-way and three-way classification tasks. Additionally, we show an approach to deal with the problem of search entailment in a context of a set of document that uses co-reference analysis.