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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Hua, L., Wan, X., & Li, L. (2018). Overview of the NLPCC 2017 shared task: Single document summarization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10619 LNAI, pp. 942–947). Springer Verlag. https://doi.org/10.1007/978-3-319-73618-1_84
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