iQA: An intelligent question answering system

Zhiguo Gong, Mei Pou Chan

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


Question answering (QA) is the study on the methodology that returns exact answers to natural language questions. This paper attempts to increase the coverage and accuracy of QA systems by narrowing the semantics gap between questions with terms written in abbreviations and their potential answers. To achieve this objective, the processing includes (1) identifying terms that might be abbreviations from the user's natural language question; (2) retrieving documents relevant to that abbreviation term; (3) filtering noun phrases that are considered to be potential long forms for that abbreviation within the returned result.

Original languageEnglish
Title of host publicationDigital Libraries
Subtitle of host publicationImplementing Strategies and Sharing Experiences - 8th International Conference on Asian Digital Libraries, ICADL 2005, Proceedings
Number of pages10
Publication statusPublished - 2005
Event8th International Conference on Asian Digital Libraries, ICADL 2005 - Bangkok, Thailand
Duration: 12 Dec 200515 Dec 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3815 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference8th International Conference on Asian Digital Libraries, ICADL 2005


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