Towards a hierarchical framework for predicting the best answer in a question answering system

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

Research output: A Conference proceeding or a Chapter in BookConference contribution

2 Citations (Scopus)

Abstract

This research aims to develop a model for identifying predictive variables for the selection of the best quality answer in a question-answering (QA) system. It was found that accuracy, completeness and relevance are strong predictors of the quality of the answer.

Original languageEnglish
Title of host publicationAsian Digital Libraries
Subtitle of host publicationLooking Back 10 Years and Forging New Frontiers - 10th International Conference on Asian Digital Libraries, ICADL 2007, Proceedings
EditorsDion Hoe-Lian Goh, Tru Hoang Cao, Ingeborg Torvik Sølvberg, Edie Rasmussen
Place of PublicationBerlin
PublisherSpringer
Pages497-498
Number of pages2
ISBN (Electronic)9783540770947
ISBN (Print)9783540770930
DOIs
Publication statusPublished - 1 Dec 2007
Externally publishedYes
Event10th International Conference on Asian Digital Libraries, ICADL 2007 - Hanoi, Viet Nam
Duration: 10 Dec 200713 Dec 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4822 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Conference on Asian Digital Libraries, ICADL 2007
CountryViet Nam
CityHanoi
Period10/12/0713/12/07

Fingerprint Dive into the research topics of 'Towards a hierarchical framework for predicting the best answer in a question answering system'. Together they form a unique fingerprint.

Cite this