Text summarization using unsupervised deep learning
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- 作者：Mahmood Yousefi-Azar ; mahmood.yousefiazar@hdr.mq.edu.au" class="auth_mail" title="E-mail the corresponding author ; Len Hamey len.hamey@mq.edu.au" class="auth_mail" title="E-mail the corresponding author
- 关键词：Deep Learning ; Query-oriented Summarization ; Extractive Summarization ; Ensemble Noisy Auto-Encoder
- 刊名：Expert Systems with Applications
- 出版年：2017
- 出版时间：February 2017
- 年：2017
- 卷：68
- 期：Complete
- 页码：93-105
- 全文大小：2658 K
文摘
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Unsupervised extractive summarization of emails using a deep auto-encoder with excellent performance.
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Ensemble Noisy Auto-Encoder runs noisy inputs through one trained network, enhancing performance.
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Summaries are highly informative and semantically similar to human abstracts.