| 口语对话中的代词指代消解 |
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| 引用本文： | 费仲超,周雅倩,黄萱菁,吴立德. 口语对话中的代词指代消解[J]. 软件学报, 2011, 22(2): 233-244. DOI: 10.3724/SP.J.1001.2011.03720 |
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| 作者姓名： | 费仲超 周雅倩 黄萱菁 吴立德 |
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| 作者单位： | 1. 复旦大学,计算机科学技术学院,上海,200433;上海贝尔股份有限公司,产品线战略及技术领先部,上海,201206
2. 复旦大学,计算机科学技术学院,上海,200433 |
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| 基金项目： | 国家自然科学基金(60503070, 60673038); 上海市科委科研计划(08511500302) |
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| 摘 要： | 提出一套分为两步的代词指代消解算法,算法不需要人工清洗语料及预定义规则.算法第1步采用一些新特征和机器学习算法对名词性指代代词和非名词性指代(non-anaphoric)代词分类,第2步分别对两类代词进行消解.针对名词性代词指代消解,提出了适用于口语对话的特征抽取及表示方法,如代词和候选先行词的距离、语法、语义等的抽取...
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| 关 键 词： | 代词指代消解 口语对话理解 代词分类 |
| 收稿时间： | 2009-02-20 |
| 修稿时间： | 2009-08-12 |
Pronoun Resolution in Spoken Dialog |
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| FEI Zhong-Chao,ZHOU Ya-Qian,HUANG Xuan-Jing and WU Li-De. Pronoun Resolution in Spoken Dialog[J]. Journal of Software, 2011, 22(2): 233-244. DOI: 10.3724/SP.J.1001.2011.03720 |
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| Authors: | FEI Zhong-Chao ZHOU Ya-Qian HUANG Xuan-Jing WU Li-De |
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| Affiliation: | School of Computer Science, Fudan University, Shanghai 200433, China;Portfolio Strategy and Technology Leadership CTO Group, Alcatel-Lucent Shanghai Bell, Shanghai 200433, China;School of Computer Science, Fudan University, Shanghai 200433, China;School of Computer Science, Fudan University, Shanghai 200433, China;School of Computer Science, Fudan University, Shanghai 200433, China |
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| Abstract: | This paper presents a two-stage pronoun resolution algorithm. It does not need to clean the testing corpus and predefine patterns manually. In the first stage of the algorithm, some new features and machine learning methods are used to classify pronouns into anaphoric and non-anaphoric ones. In the second stage, these two kinds of pronouns are resolved respectively. For the anaphoric ones, some methods are presented to extract distance, syntactic, and semantic features etc. For the non-anaphoric ones, the Right Frontier Rule is improved to do the resolution work. While testing the corpus published by Byron in 2004, this algorithm achieves a precision of 77.0% and a recall of 66.0%. Compared with the work of Byron, the algorithm is fully automatic, and the results are much better. |
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| Keywords: | pronoun resolution spoken dialog understanding pronoun classification |
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