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

November 19, 2017 · Entered Twilight · 🏛 arXiv.org

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Repo contents: README.md, ner.png, ner, relation.png, relation_extraction

Authors Jingjing Xu, Ji Wen, Xu Sun, Qi Su arXiv ID 1711.07010 Category cs.CL: Computation & Language Citations 64 Venue arXiv.org Repository https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset ⭐ 422 Last Checked 1 month ago

Abstract

Named Entity Recognition and Relation Extraction for Chinese literature text is regarded as the highly difficult problem, partially because of the lack of tagging sets. In this paper, we build a discourse-level dataset from hundreds of Chinese literature articles for improving this task. To build a high quality dataset, we propose two tagging methods to solve the problem of data inconsistency, including a heuristic tagging method and a machine auxiliary tagging method. Based on this corpus, we also introduce several widely used models to conduct experiments. Experimental results not only show the usefulness of the proposed dataset, but also provide baselines for further research. The dataset is available at https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset