A Hierarchical Neural Summarization Framework for Spoken Documents

Tzu En Liu, Shih Hung Liu, Berlin Chen

研究成果: 書貢獻/報告類型會議貢獻

2 引文 斯高帕斯(Scopus)

摘要

Extractive text or speech summarization seeks to select indicative sentences from a source document and assemble them together to form a succinct summary, so as to help people to browse and understand the main theme of the document efficiently. A more recent trend is towards developing supervised deep learning based methods for extractive summarization. This paper extends and contextualizes this line of research for spoken document summarization, while its contributions are at least three-fold. First, we propose a neural summarization framework with the flexibility to incorporate extra acoustic/prosodic and lexical features, for which the ROUGE evaluation metric is embedded into the training objective function and can be optimized with reinforcement learning. Second, disparate ways to integrate acoustic features into this framework are investigated. Third, the utility of our proposed summarization methods and several widely-used state-of-the-art ones are extensively compared and evaluated. A series of empirical experiments seem to demonstrate the effectiveness of our summarization methods.

原文英語
主出版物標題2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
頁面7185-7189
頁數5
ISBN(電子)9781479981311
DOIs
出版狀態已發佈 - 2019 五月
事件44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, 英国
持續時間: 2019 五月 122019 五月 17

出版系列

名字ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
2019-May
ISSN(列印)1520-6149

會議

會議44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
國家英国
城市Brighton
期間19/5/1219/5/17

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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    Liu, T. E., Liu, S. H., & Chen, B. (2019). A Hierarchical Neural Summarization Framework for Spoken Documents. 於 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (頁 7185-7189). [8683758] (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; 卷 2019-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2019.8683758