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Named Entity Recognition and Relation Extraction for Chinese literature textis regarded as the highly difficult problem, partially because of the lack oftagging sets. In this paper, we build a discourse-level dataset from hundredsof Chinese literature articles for improving this task. To build a high qualitydataset, we propose two tagging methods to solve the problem of datainconsistency, including a heuristic tagging method and a machine auxiliarytagging method. Based on this corpus, we also introduce several widely usedmodels to conduct experiments. Experimental results not only show theusefulness of the proposed dataset, but also provide baselines for furtherresearch. The dataset is available athttps://github.com/lancopku/Chinese-Literature-NER-RE-Dataset

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text