Improving the informativeness of verbose queries using summarization techniques for spoken document retrieval

Shih Hsiang Lin, Berlin Chen, Ea Ee Jan

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

2 Citations (Scopus)

Abstract

Query-by-example information retrieval aims at helping users to find relevant documents accurately when users provide specific query exemplars describing what they are interested in. The query exemplars are usually long and in the form of either a partial or even a full document. However, they may contain extraneous terms (or off-topic information) that would have a negative impact on the retrieval performance. In this paper, we propose to integrate extractive summarization techniques into the retrieval process so as to improve the informativeness of a verbose query exemplar. The original query exemplar is first divided into several sub-queries or sentences. To construct a new concise query exemplar, summarization techniques are then employed to select a salient subset of subqueries. Experiments on the TDT Chinese collection show that the proposed approach is indeed effective and promising.

Original languageEnglish
Title of host publication2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings
Pages75-79
Number of pages5
DOIs
Publication statusPublished - 2010 Dec 1
Event2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Tainan, Taiwan
Duration: 2010 Nov 292010 Dec 3

Publication series

Name2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings

Other

Other2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010
CountryTaiwan
CityTainan
Period10/11/2910/12/3

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Keywords

  • Information retrieval
  • Query exemplar
  • Query-by-example
  • Summarization technique
  • Verbose queries

ASJC Scopus subject areas

  • Linguistics and Language

Cite this

Lin, S. H., Chen, B., & Jan, E. E. (2010). Improving the informativeness of verbose queries using summarization techniques for spoken document retrieval. In 2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings (pp. 75-79). [5684847] (2010 7th International Symposium on Chinese Spoken Language Processing, ISCSLP 2010 - Proceedings). https://doi.org/10.1109/ISCSLP.2010.5684847