A predictive framework for retrieving the best answer

Mohan John Blooma, Alton Yeow Kuan Chua, Dion Hoe Lian Goh

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

72 Citations (Scopus)


In a question answering (QA) system, each user interaction with the system is different and since there are a variety of arguably correct answers to complex questions, identifying factors for improving the quality of the retrieved answer is difficult. This research aims to develop a framework that identifies predictive variables for the best quality answer in a QA system. It was found that accuracy, completeness and relevance were predictors of best answer. We believe that these findings can serve to guide future developments in the answer extraction modules in the QA systems.

Original languageEnglish
Title of host publicationProceedings of the 23rd Annual ACM Symposium on Applied Computing, SAC'08
EditorsRoger L. Wainwright, Hisham M. Haddad
Place of PublicationUnited States
PublisherAssociation for Computing Machinery (ACM)
Number of pages5
ISBN (Print)9781595937537
Publication statusPublished - 1 Dec 2008
Externally publishedYes
Event23rd Annual ACM Symposium on Applied Computing, SAC'08 - Fortaleza, Ceara, Brazil
Duration: 16 Mar 200820 Mar 2008

Publication series

NameProceedings of the ACM Symposium on Applied Computing


Conference23rd Annual ACM Symposium on Applied Computing, SAC'08
CityFortaleza, Ceara

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