[1]赵红艳,等.基于机器学习与语义知识的动词隐喻识别[J].南京师范大学学报(工程技术版),2011,11(03):059-64.
 Zhao Hongyan,Qu Weiguang,et al.Chinese Verb Metaphor Recognition Based on Machine Learning and Semantic Knowledge[J].Journal of Nanjing Normal University(Engineering and Technology),2011,11(03):059-64.
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基于机器学习与语义知识的动词隐喻识别
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南京师范大学学报(工程技术版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
11卷
期数:
2011年03期
页码:
059-64
栏目:
出版日期:
2011-11-30

文章信息/Info

Title:
Chinese Verb Metaphor Recognition Based on Machine Learning and Semantic Knowledge
作者:
赵红艳12曲维光123张芬12周俊生1
( 1. 南京师范大学计算机科学与技术学院,江苏南京210046) ( 2. 江苏省信息安全保密技术工程研究中心,江苏南京210097) ( 3. 南京师范大学语言信息科技研究中心,江苏南京210097)
Author(s):
Zhao Hongyan 12Qu Weiguang123Zhang Fen12Zhou Junsheng12
1.School of Computer Science and Technology,Nanjing Normal University,Nanjing 210046,China
关键词:
动词隐喻识别机器学习知网同义词词林
Keywords:
verb metaphor recognitionmachine learningHowNettongyici cilin
分类号:
TP391.1
摘要:
在自然语言中,动词的用法主要包含3种:字面、转喻和隐喻.动词的隐喻用法在隐喻的研究中占有重要的地位.动词的隐喻计算包含两个子任务:隐喻识别和隐喻理解.本文采用条件随机场、最大熵模型来识别动词的隐喻搭配,并在此基础上,加入了两种语义信:息《同义词词林》的同义词信息和《知网》的语义信息来识别动词的隐喻表达,实验识别正确率可达94.47%.
Abstract:
In a natural language,the expressions of verbs contain three types: literal,metonymic and metaphoric. Verb metaphor plays an important role in the field of metaphor study. The computing of verb metaphor can be divided into two subtasks: metaphor recognition and metaphor interpretation. This paper uses two models: Conditional Random Fields model and Maximum Entropy model to recognize verb metaphor. And in these basic models,this paper adds two kinds of semantic knowledge: synonymy information of Tongyici cilin and semantic information of HowNet to recognize verb metaphor. The accuracy of experiment reaches 94. 47%.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目: 国家自然科学基金( 60773173, 61073119) 、国家哲学社科基金( 10CYY021) 、江苏省自然科学基金( BK2010547) 、江苏省教育厅自然科学基金( 10KJB520009) 、江苏省高校社科基金( 06SJB71007) .通讯联系人: 曲维光,博士,教授,研究方向: 自然语言处理. E-mail: wgqu@ njnu. edu. Cn
更新日期/Last Update: 2013-03-21