论文标题
端到端的中国解析利用词典
End-to-End Chinese Parsing Exploiting Lexicons
论文作者
论文摘要
传统上，中国的解析是通过三个管道系统解决的，包括单词分段，言论的标签和依赖性解析模块。在本文中，我们根据字符输入提出了一个端到端的中国解析模型，该模型共同学会了输出单词分割，词性部分和依赖性结构。特别是，我们的解析模型依赖于单词char图表网络，这可以用外部单词知识丰富角色输入。三个中国解析基准数据集的实验显示了我们模型的有效性，从而在端到端中国解析方面取得了最新的结果。
Chinese parsing has traditionally been solved by three pipeline systems including word-segmentation, part-of-speech tagging and dependency parsing modules. In this paper, we propose an end-to-end Chinese parsing model based on character inputs which jointly learns to output word segmentation, part-of-speech tags and dependency structures. In particular, our parsing model relies on word-char graph attention networks, which can enrich the character inputs with external word knowledge. Experiments on three Chinese parsing benchmark datasets show the effectiveness of our models, achieving the state-of-the-art results on end-to-end Chinese parsing.
