Indexing on semantic roles for question answering

Luiz Augusto Pizzato, Diego Mollá

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

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Abstract

Semantic Role Labeling (SRL) has been used successfully in several stages of automated Question Answering (QA) systems but its inherent slow procedures make it difficult to use at the indexing stage of the document retrieval component. In this paper we confirm the intuition that SRL at indexing stage improves the performance of QA and propose a simplified technique named the Question Prediction Language Model (QPLM), which provides similar information with a much lower cost. The methods were tested on four different QA systems and the results suggest that QPLM can be used as a good compromise between speed and accuracy.
Original languageEnglish
Title of host publicationIRQA 2008
Subtitle of host publicationProceedings of the 2nd Workshop on Information Retrieval for Question Answering, August 24, 2008, Manchester, UK
EditorsMark A. Greenwood
Place of PublicationMorristown, N.J.
PublisherAssociation for Computational Linguistics
Pages74-81
Number of pages8
ISBN (Print)9781905593552
Publication statusPublished - 2008
EventColing 2008 Workshop on Information Retrieval for Question Answering (2nd : 2008) - Manachester
Duration: 18 Aug 200822 Aug 2008

Workshop

WorkshopColing 2008 Workshop on Information Retrieval for Question Answering (2nd : 2008)
CityManachester
Period18/08/0822/08/08

Bibliographical note

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