Date: November 2000
Creator: Harabagiu, Sanda M.; Moldovan, Dan I.; Paşca, Marius. 1974-; Mihalcea, Rada, 1974-; Surdeanu, Mihai; Bunescu, Răzvan et al
Description: This paper discusses FALCON. Abstract: This paper presents the features of FALCON, an answer engine that integrates different forms of syntactic, semantic and pragmatic knowledge for the goal of achieving better performance. The answer engine handles question reformulations, finds the expected answer type from a large hierarchy that incorporates the WordNet semantic net and extracts answers after performing unifications on the semantic forms of the question and its candidate answers. To rule out erroneous answers, it provides justification option, implemented as an abductive proof. In TREC-9, FALCON generated a score of 58% for short answers and 76% for long answers.
Contributing Partner: UNT College of Engineering