Semantic Dependency Labeling of Chinese Noun Phrases Based on Semantic Lexicon

摘要：

　　We have presented a simple algorithm to noun phrases interpretation based on hand-crafted knowledge-base containing detailed semantic information.The main idea is to define a set of relations that can hold between the words and use a semantic lexicon including semantic classifications and collocation features to automatically assign relations to noun phrases.We divide the NPs into two kinds of types: NPs with one verb or non-consecutive verbs and NPs with consecutive verbs,and design two different labeling methods according to their syntactic and semantic features.For the first kind of NPs we report high precision,recall and F-score on a dataset with nine semantic relations,and for the second type the results are also promising on a dataset with four relations.We create a valuable manually-annotated resource for noun phrases interpretation,which we make publicly available with the hope to inspire further research in noun phrases interpretation.

关键词： Noun relations Semantic dependency Noun phrases

作者: Yimeng Li Yanqiu Shao Hongkai Yang

作者单位: Beijing Language and Culture University,Beijing,China

会议类型: 国内会议

会议名称: 第十六届全国计算语言学学术会议暨第五届基于自然标注大数据的自然语言处理国际学术研讨会

会议地点: 南京

会议语种:英文

页码: 1-9

在线出版日期: 2017-10-13（万方平台首次上网日期，不代表论文的发表时间）