Effective pseudo-relevance feedback for spoken document retrieval

Yi Wen Chen, Kuan Yu Chen, Hsin Min Wang, Berlin Chen

研究成果: 書貢獻/報告類型會議貢獻

4 引文 斯高帕斯(Scopus)

摘要

With the exponential proliferation of multimedia associated with spoken documents, research on spoken document retrieval (SDR) has emerged and attracted much attention in the past two decades. Apart from much effort devoted to developing robust indexing and modeling techniques for representing spoken documents, a recent line of thought targets at the improvement of query modeling for better reflecting the user's information need. Pseudo-relevance feedback is by far the most commonly-used paradigm for query reformulation, which assumes that a small amount of top-ranked feedback documents obtained from the initial round of retrieval are relevant and can be utilized for this purpose. Nevertheless, simply taking all of the top-ranked feedback documents obtained from the initial retrieval for query modeling (reformulation) does not always work well, especially when the top-ranked documents contain much redundant or non-relevant information. In the view of this, we explore in this paper an interesting problem of how to effectively glean useful cues from the top-ranked documents so as to achieve more accurate query modeling. To do this, different kinds of information cues are considered and integrated into the process of feedback document selection so as to improve query effectiveness. Experiments conducted on the TDT (Topic Detection and Tracking) task show the advantages of our retrieval methods for SDR.

原文英語
主出版物標題2013 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Proceedings
頁面8535-8539
頁數5
DOIs
出版狀態已發佈 - 2013 十月 18
事件2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013 - Vancouver, BC, 加拿大
持續時間: 2013 五月 262013 五月 31

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2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
國家加拿大
城市Vancouver, BC
期間13/5/2613/5/31

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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