HowNet Based Evaluation for Chinese Text Summarization

摘要：

With the rapid development of text summarization, evaluation methods for automatic summarization system is becoming more and more important in Natural Language Processing, which can promote development of text summarization greatly. This paper analyzes the existed methods for automatic summarization evaluation, and introduces a new evaluation method based on HowNet. The original tests have shown that the new method can touch the semantic meaning of the summarizations to some extent, thus reflect the quality metrics, for example, the sequence of sentences and conciseness much better. With more improvement in future, automatic evaluations will correlate with human assessments highly.

关键词： Text summarization model summarization HowNet word similarity computing

作者: Chan WANG Lixia LONG Lei LI

作者单位: Beijing University of Posts and Telecommunications Beijing,China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）