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Overview of the NLPCC 2015 Shared Task: Weibo-Oriented Chinese News Summarization

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Natural Language Processing and Chinese Computing (NLPCC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9362))

Abstract

The Weibo-oriented Chinese news summarization task aims to automatically generate a short summary for a given Chinese news article, and the short summary is used for news release and propagation on Sina Weibo. The length of the short summary is less than 140 Chinese characters. The task can be considered a special case of single document summarization. In this paper, we will introduce the evaluation dataset, the participating teams and the evaluation results. The dataset has been released publicly.

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References

  1. Nenkova, A., McKeown, K.: A survey of text summarization techniques. In: Mining Text Data, pp. 43−76. Springer US (2012)

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Correspondence to Xiaojun Wan .

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© 2015 Springer International Publishing Switzerland

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Wan, X., Zhang, J., Wen, S., Tan, J. (2015). Overview of the NLPCC 2015 Shared Task: Weibo-Oriented Chinese News Summarization. In: Li, J., Ji, H., Zhao, D., Feng, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2015. Lecture Notes in Computer Science(), vol 9362. Springer, Cham. https://doi.org/10.1007/978-3-319-25207-0_52

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  • DOI: https://doi.org/10.1007/978-3-319-25207-0_52

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-25206-3

  • Online ISBN: 978-3-319-25207-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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