摘要
词汇链是一种词语间语义关系引起的连贯性的外在表现,提供关于文本结构和主题的重要线索.文中在解决歧义消解问题的基础上提出利用词汇链,结合词频特征、位置特征和集聚特征抽取中文新闻网页关键词的方法.该方法根据词语在文档中语义联系将文档表示成词汇链形式,并在此基础上抽取关键词.对中文新闻网页和学术期刊文献两种语料进行实验,结果表明该方法可明显提高抽取的关键词质量.
A lexical chain is an external performance consistency by semantically related words of a text, and it is the representation of the semantic content of a text. Based on the word ambiguity resolution, a method for keyword extraction from Chinese news web pages is proposed by using lexical chains combined with frequency features, location features and cohesion features. The document is represented as lexical chains by the relationship between phrases and the key phrases are extracted from the lexical chains. The proposed method is tested on the corpus of Chinese news web pages and journal articles. The experimental results show that the proposed method improves the quality of the keywords extraction.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2010年第1期45-51,共7页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金资助项目(No.60573174)
关键词
词汇链
关键词抽取
歧义消解
语义相似度
Lexical Chain, Extraction, Ambiguity Resolution, Semantic Similarity
