Effective pseudo-relevance feedback for language modeling in extractive speech summarization

Shih Hung Liu, Kuan Yu Chen, Yu Lun Hsieh, Berlin Chen, Hsin Min Wang, Hsu Chun Yen, Wen Lian Hsu

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

Extractive speech summarization, aiming to automatically select an indicative set of sentences from a spoken document so as to concisely represent the most important aspects of the document, has become an active area for research and experimentation. An emerging stream of work is to employ the language modeling (LM) framework along with the Kullback-Leibler divergence measure for extractive speech summarization, which can perform important sentence selection in an unsupervised manner and has shown preliminary success. This paper presents a continuation of such a general line of research and its main contribution is two-fold. First, by virtue of pseudo-relevance feedback, we explore several effective sentence modeling formulations to enhance the sentence models involved in the LM-based summarization framework. Second, the utilities of our summarization methods and several widely-used methods are analyzed and compared extensively, which demonstrates the effectiveness of our methods.

原文英語
主出版物標題2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
發行者Institute of Electrical and Electronics Engineers Inc.
頁面3226-3230
頁數5
ISBN(列印)9781479928927
DOIs
出版狀態已發佈 - 2014 一月 1
事件2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, 意大利
持續時間: 2014 五月 42014 五月 9

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2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
國家意大利
城市Florence
期間14/5/414/5/9

    指紋

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

引用此

Liu, S. H., Chen, K. Y., Hsieh, Y. L., Chen, B., Wang, H. M., Yen, H. C., & Hsu, W. L. (2014). Effective pseudo-relevance feedback for language modeling in extractive speech summarization. 於 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 (頁 3226-3230). [6854196] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854196