Acta Scientiarum Naturalium Universitatis Pekinensis

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Recognition of Comparative Sentences Based on Syntactic and Semantic Rules-System

BAI Linnan, HU Renfen, LIU Zhiying   

  1. Institute of Chinese Information Processing, Beijing Normal University, Beijing 100875;
  • Received:2014-06-29 Online:2015-03-20 Published:2015-03-20



  1. 北京师范大学中文信息处理研究所, 北京 100875;

Abstract: The authors propose a novel method to identify comparative sentences based on rules, and these rules contain syntactic and semantic features of comparative sentences. Comparative marks and comparative result words are significant elements to identify comparative sentences. Based on this, the authors conclude the categories and identification rules of comparative sentences. Four models are designed to respectively recognize every category. Experiments show that proposed method can gain satisfactory results in comparative parser and recognition, which lay good foundation for comparative relation extraction.

Key words: comparative sentences, recognition, syntactic and semantic rules

摘要: 针对汉语比较句的自动识别, 提出一种基于句法语义规则的方法。将比较标记和比较结果做为识别比较句的关键因素, 归纳汉语比较句的类别, 书写比较句识别规则, 同时设计4个模型进行分类识别。实验结果表明, 规则系统可以有效地实现汉语比较句的句法分析和自动识别, 为比较关系的抽取打下良好的基础。

关键词: 比较句, 自动识别, 句法语义规则

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