Research on Semantic Sentence Template Based on Sentence Hierarchy
Chinese sentence template plays an important role in natural language processing.It can make computer understand and analyze Chinese texts better,extract text information,and improve the accuracy and efficiency of natural language processing.However,due to the flexi-bility and diversity of Chinese texts expression,the existing sentence template have low matc-hing accuracy,a large number of sentence template,and it is difficult to completely cover all sentences,which hinders the wide application and development of sentence template in specific fields.In view of the above shortcomings,this paper proposes a semantic sentence template named Hierarchical Structure-based Sentence Template(HSST).Based on the fact that sentences are nested and have hierarchical structure,and the sentence structure is not unidirectional linear,Hierarchical Structure-based Sentence Template uses multiple sentence template and combines these sentence template according to the hierarchical structure of the sentence,which greatly re-duces the number of sentence template,improves the matching accuracy of sentence template,and makes it cover a wider range of Chinese texts,so that the machine can understand and ex-tract the semantic information of the text more accurately and effectively.
sentence Templatenatural language processinginformation extractionhierarchical structure
NETL
NSTL
万方数据
