Indexing on semantic roles for question answering

Authors:
Luiz Augusto Pizzato;Diego Mollá
Affiliations:
Macquarie University, Sydney, Australia;Macquarie University, Sydney, Australia
Venue:
IRQA '08 Coling 2008: Proceedings of the 2nd workshop on Information Retrieval for Question Answering
Year:
2008

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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.