Research on Chinese Sentence Compression Automatic Evaluation Method based on Sentence Hierarchical Information Extraction

Abstract

People often feel incomprehensible and difficult to understand in the face of huge amounts of information. They instinctively produce the natural need to condense information to save time. Sentence compression technology has been born. The research on sentence compression evaluation methods has developed with the rise of sentence compression technology, and has gradually become a hot issue for sentence compression tasks. The method of sentence compression evaluation is to judge a good or bad cornerstone of compression results. influences. Under the current practical background, the performance evaluation of sentence compression mainly includes two methods: manual evaluation and automatic evaluation. The main problems encountered are: First, most of the research work uses manual evaluation indicators. The compression results under manual evaluation have high accuracy and meet the requirements. People’s daily language habits have the disadvantages of inflexibility and poor reusability. Second, there are few automatic evaluation methods for Chinese sentences, and the existing traditional automatic evaluation methods only consider the morphological similarity between the compressed sentence and the original sentence, and cannot well represent the compression effect. Based on the above practical problems, this paper proposes an automatic evaluation method for Chinese sentence compression based on sentence hierarchical information extraction. Compared with the manual evaluation method and the traditional automatic evaluation method, the Chinese sentence compression automatic evaluation method based on sentence hierarchical information extraction overcomes the disadvantages of high manual evaluation cost and low reusability. It uses the similarity of sentence hierarchical information to diversify. Ground characterization and evaluation of compression effects have significantly improved the rationality and accuracy of traditional automatic evaluation methods Introduction.