Handling verbose queries for spoken document retrieval

Shih Hsiang Lin*, Ea Ee Jan, Berlin Chen

*此作品的通信作者

研究成果: 書貢獻/報告類型會議論文篇章

3 引文 斯高帕斯(Scopus)

摘要

Query-by-example information retrieval provides users a flexible but efficient way to accurately describe their information needs. 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 that would have potential negative impacts on the retrieval performance. In order to alleviate those negative impacts, we propose a novel term-based query reduction mechanism so as to improve the informativeness of verbose query exemplars. We also explore the notion of term discrimination power to select a salient subset of query terms automatically. Experiments on the TDT Chinese collection show that the proposed approach is indeed effective and promising.

原文英語
主出版物標題2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
頁面5552-5555
頁數4
DOIs
出版狀態已發佈 - 2011 八月 18
事件36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Prague, 捷克共和国
持續時間: 2011 五月 222011 五月 27

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN(列印)1520-6149

其他

其他36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
國家/地區捷克共和国
城市Prague
期間2011/05/222011/05/27

ASJC Scopus subject areas

  • 軟體
  • 訊號處理
  • 電氣與電子工程

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