Abstract
In this paper, we give an overview for the shared task at the 6th CCF Conference on Natural Language Processing & Chinese Computing (NLPCC 2017): single document summarization. Document summarization aims at conveying important information and generating significantly short summaries for original long documents. This task focused on summarizing the news articles and released a large corpus, TTNews corpus (TTNews corpus can be downloaded at https://pan.baidu.com/s/1bppQ4z1), which was collected for single document summarization in Chinese. In this paper, we will introduce the task, the corpus, the participating teams and the evaluation results.
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Acknowledgement
We are very grateful to the colleagues from our company for their efforts to annotate the data and Knowledge Engineering Group of Tsinghua University for the help of building the submission system. And we also would like to thank the participants for their valuable feedback and results.
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Hua, L., Wan, X., Li, L. (2018). Overview of the NLPCC 2017 Shared Task: Single Document Summarization. In: Huang, X., Jiang, J., Zhao, D., Feng, Y., Hong, Y. (eds) Natural Language Processing and Chinese Computing. NLPCC 2017. Lecture Notes in Computer Science(), vol 10619. Springer, Cham. https://doi.org/10.1007/978-3-319-73618-1_84
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DOI: https://doi.org/10.1007/978-3-319-73618-1_84
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