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计算机工程 ›› 2012, Vol. 38 ›› Issue (20): 109-112. doi: 10.3969/j.issn.1000-3428.2012.20.028

• 人工智能及识别技术 • 上一篇    下一篇

基于多知识源的语义搭配知识获取及表示方法

王 璐,张仰森,吴 林   

  1. (北京信息科技大学智能信息处理研究所,北京 100192)
  • 收稿日期:2012-01-05 修回日期:2012-02-15 出版日期:2012-10-20 发布日期:2012-10-17
  • 作者简介:王 璐(1987-),女,硕士研究生,主研方向:智能信息处理;张仰森,教授;吴 林,硕士研究生
  • 基金资助:
    国家自然科学基金资助项目(60873013, 61070119);北京市属市管高等学校人才强教计划基金资助项目(PHR201007131);北京大学计算语言学教育部重点实验室开放课题基金资助项目(KLCL-1005)

Acquisition and Representation Method of Semantic Collocation Knowledge Based on Multiple Knowledge Sources

WANG Lu, ZHANG Yang-sen, WU Lin   

  1. (Institute of Intelligence Information Processing, Beijing Information Science and Technology University, Beijing 100192, China)
  • Received:2012-01-05 Revised:2012-02-15 Online:2012-10-20 Published:2012-10-17

摘要: 为更全面准确地从字词搭配中获取语义搭配信息,提出一种新的语义搭配知识提取模型和知识库的表示方法。利用特殊度度量词语搭配的相关程度,在此基础上,基于知网的语义信息,实现从42万条记录的词语搭配中定量地抽取语义搭配信息。实验结果表明,该方法的语义搭配准确率为92.1%,且较大地扩充了字词搭配的规模。

关键词: 词语搭配, 语义搭配, 特殊度, 知识获取, 知识表示, 搭配知识库

Abstract: In order to achieve semantic collocation from word collocation, this paper proposes a new model of extracting semantic collocation and a new representation method of semantic collocation. By introducing Special Degree(SD) as a tool and utilizing knowledge of the HowNet, 420 000 records of words collocation are converted to semantic collocation in a quantitative way. Experimental results show that the accuracy of semantic collocation reaches 92.1%, and the semantic collocation expands the scale of the words collocation effectively.

Key words: word collocation, semantic collocation, Special Degree(SD), knowledge acquisition, knowledge representation, collocation knowledgebase

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