Research on Annotation Rules and Phrase Recognition Algorithm Based on Phrase and Dependency
At present,most syntactic dependency analysis is conducted via supervised learning with the help of word segmentation results.This practice is challenged by complex label schemes and the nesting structure which is diffi-cult to parse.This paper proposes a phrase window model together with a dependency syntax labeling rule based on the phrase window.The labeling rule divides sentences into 7 types of nestable phrases,with annotation for the syn-tactic dependence between phrases.Inspired by the idea of target detection in the computer vision field,the phrase window model detects the beginning and end positions of phrases and realizes the synchronous recognition of nested phrases and syntactic dependencies.Experimental results show that on the self-built Chinese Phrase Window Dataset(CPWD),the phrase window model is more than 1 point better than the traditional end-to-end model.The corre-sponding method won the champion in the CCL2018 Chinese Metaphor Sentiment Analysis Competition,which im-proved more than 1 point than the baseline.
natural language processingtagging systemphrase extractiondependency parsing
万方数据
维普
