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Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5–6, 2020, Proceedings

Research Article

Text Summarization as the Potential Technology for Intelligent Internet of Things

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  • @INPROCEEDINGS{10.1007/978-3-030-69514-9_14,
        author={Lijun Wei and Yun Liu and Jian Li},
        title={Text Summarization as the Potential Technology for Intelligent Internet of Things},
        proceedings={Smart Grid and Internet of Things. 4th EAI International Conference, SGIoT 2020, TaiChung, Taiwan, December 5--6, 2020, Proceedings},
        proceedings_a={SGIOT},
        year={2021},
        month={7},
        keywords={Intelligent Internet of Things Text summarization Attention mechanism},
        doi={10.1007/978-3-030-69514-9_14}
    }
    
  • Lijun Wei
    Yun Liu
    Jian Li
    Year: 2021
    Text Summarization as the Potential Technology for Intelligent Internet of Things
    SGIOT
    Springer
    DOI: 10.1007/978-3-030-69514-9_14
Lijun Wei1, Yun Liu1, Jian Li1
  • 1: Beijing Jiao Tong University

Abstract

Applying automatic text summarization technology to Internet of Things can save network cost and improve computing speed. However, the models of generated text summarization are always using sequence-to-sequence model with attention mechanism. Unluckily, this method for abstractive summarization has two main shortcomings: first, they fail to address unknown words problems, second, their generated summaries are not very readable because of repetition. In our work, our goal is to enhance the semantic coherence of summaries for original texts. In order to this end, we propose a new model that augments the traditional model in two ways. First, we apply semantic relevance to pointer-generator network to get high similarity between source texts and our summaries. Second, we change the mechanism of coverage and use it to pointer-generator network to discourage repetition. Following other works, we apply our new model to Chinese social media dataset LCSTS. Our experiments suggested that our new model outperforms current abstractive baseline systems on the dataset.

Keywords
Intelligent Internet of Things Text summarization Attention mechanism
Published
2021-07-16
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-69514-9_14
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