Download e-book for kindle: Advances in Open Domain Question Answering (Text, Speech and by Tomek Strzalkowski, Sanda Harabagiu

By Tomek Strzalkowski, Sanda Harabagiu

ISBN-10: 1402047444

ISBN-13: 9781402047442

ISBN-10: 1402047460

ISBN-13: 9781402047466

This new Springer quantity offers a entire and distinct examine present ways to computerized query answering. the extent of presentation is acceptable for rookies to the sphere in addition to for execs wishing to check this quarter and/or to construct useful QA structures. The booklet can function a "how-to" instruction manual for IT practitioners and process builders. it might even be used to coach graduate classes in machine technological know-how, details technology and comparable disciplines.

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Extra info for Advances in Open Domain Question Answering (Text, Speech and Language Technology)

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Lizard} For the national Zoo came a par of red wolves, an endangered species that once roamed the Southeastern United States, 30 geckos –lizards-from Madagascar, and a male Sumatran tiger The second source for finding answer sentences is the integration of a generalpurpose knowledge source (Paşca, 2001c), namely the WordNet database (Miller, 1995). If the question phrase is in WordNet, it is expanded with concepts linked through semantic relations (Paşca, 2002). Currently, the question phrase is expanded with its immediate WordNet hypernyms.

All questions are attempted by the prover, but if the proof fails the QA system resorts to other answer extraction methods that were part of the system before the prover. Thus, some questions are answered by the QA system without the prover, some only by the prover and some by both the nonprover system and the prover. , 2003). Of these, 206 were answered by COGEX but some of these answers were also provided by QA system without COGEX. A careful analysis indicates that the QA system without logic prover answered 317 questions and the prover can answer only 98 additional questions for which the system without prover failed.

The quality of the passages retrieved within the QA system is significantly improved through ontology-based query expansion. The module adds related concepts from the domain ontologies to passage retrieval queries. First, it determines which semantic relations should be followed for query expansion; IsA is an immediate option, but other relation types may be useful. The domain-specific concepts included in the query are selected based on their frequency of occurrence in the collection and relative semantic distance metrics.

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Advances in Open Domain Question Answering (Text, Speech and Language Technology) by Tomek Strzalkowski, Sanda Harabagiu

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