Intention extraction and semantic matching for Internet FAQ retrieval using spoken language query

Yu Sheng Lai, Kuen Lin Lee, Chung Hsien Wu

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

1 Citation (Scopus)

Abstract

An FAQ (frequently-asked question) pattern consists of a question and a text document that answers the question and contains some additional remarks. As a query is similar to the FAQ's question, the FAQ's answer gives a possible answer or parts of the answer of the query. On the other hand, an FAQ's answer may also contain information not concerning with the corresponding FAQ's question but embed the answer for other questions. For a given query, therefore, the answer can be obtained from both FAQ question and answer. In this paper, we propose a framework for Internet FAQ retrieval by using spoken language query. We aim at two points: (1) extraction of the main intention embedded in a query sentence and (2) semantic comparison between a query sentence and an FAQ pattern. To evaluate the system performance, a collection of 1022 FAQ patterns and a set of 185 query sentences are collected for experiment. In intention extraction, 91.9% of intention segments can be extracted correctly. Compared to the keyword-based approach, an improvement from 78.06% to 95.28% in recall rate for the top 10 candidates is obtained.

Original languageEnglish
Title of host publication6th International Conference on Spoken Language Processing, ICSLP 2000
PublisherInternational Speech Communication Association
ISBN (Electronic)7801501144, 9787801501141
Publication statusPublished - 2000 Jan 1
Event6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
Duration: 2000 Oct 162000 Oct 20

Publication series

Name6th International Conference on Spoken Language Processing, ICSLP 2000

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
CountryChina
CityBeijing
Period00-10-1600-10-20

All Science Journal Classification (ASJC) codes

  • Linguistics and Language
  • Language and Linguistics

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