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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings No
Title A Real World Implementation of Answer Extraction
Authors
  • Michael Hess
  • Diego Mollà Aliod
  • Jawad Berri
Item Subtype Original Work
Refereed Yes
Status Published in final form
Event Title Proceedings of 9th International Conference and Workshop on Database and Expert Systems. Workshop
Place of Publication Vienna, Austria
Abstract Text In this paper we describe ExtrAns, an answer extraction system. Answer extraction (AE) aims at retrieving those exact passages of a document that directly answer a given user question. AE is more ambitious than information retrieval and information extraction in that the retrieval results are phrases, not entire documents, and in that the queries may be arbitrarily specific. It is less ambitious than full-fledged question answering in that the answers are not generated from a knowledge base but looked up in the text of documents. The current version of ExtrAns is able to parse unedited Unix ``man pages'', and derive the logical form of their sentences. User queries are also translated into logical forms. A theorem prover then retrieves the relevant phrases, which are presented through selective highlighting in their context.
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