Research on Construction Method of Chinese NT Clause Based on Attention-LSTM

摘要：

　　The correct definition and recognition of sentences is the basis of NLP.For the characteristics of Chinese text structure,the theory of NT clause was proposed from the perspective of micro topics.Based on this theory,this paper proposes a novel method for construction NT clause.Firstly,this paper proposes a neural network model based on Attention and LSTM(Attention-LSTM),which can identify the location of the missing Naming,and uses manually annotated corpus to train the Attention-LSTM.Secondly,in the process of constructing NT clause,the trained Attention-LSTM is used to identify the location of the missing Naming.Then the NT clause can be constructed.The accuracy of the experimental result is 81.74%(+4.5%).This paper can provide support for the task of text understanding,such as Machine Translation,Information Extraction,Man-machine Dialogue.

关键词： NT clause Attention-LSTM Text understanding

作者: Teng Mao Yuyao Zhang Yuru Jiang Yangsen Zhang

作者单位: Institute of Intelligent Information Processing,Beijing Information Science and Technology University,Beijing,China

会议类型: 国际会议

会议名称: 2018自然语言处理与中文计算国际会议(NLPCC2018)

会议地点: 呼和浩特

会议语种:英文

页码: 340-350

在线出版日期: 2018-08-26（万方平台首次上网日期，不代表论文的发表时间）