| 中文篇章级句间语义关系识别 |
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| 引用本文： | 张牧宇,宋 原,秦 兵,刘 挺.中文篇章级句间语义关系识别[J].中文信息学报,2013,27(6):51-58. |
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| 作者姓名： | 张牧宇 宋 原 秦 兵 刘 挺 |
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| 作者单位： | 哈尔滨工业大学,黑龙江 哈尔滨 150001 |
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| 基金项目： | 国家自然科学基金资助项目(61133012);国家自然科学基金资助项目(61073126);国家自然科学基金资助项目(61273321) |
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| 摘 要： | 篇章句间关系识别(Discourse Relation Recognition)是篇章分析的重要内容,该文对中文篇章句间关系识别任务进行初步探索,包括显式篇章句间关系识别与隐式篇章句间关系识别两类任务。针对显式篇章句间关系,我们提出基于关联词规则的方法进行识别,取得了很好的效果;针对隐式篇章句间关系,我们抽取词汇、句法、语义等特征,采用有指导模型进行识别。该文的分析和实验结果为后续研究提供了参考和基本对照系统。
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| 关 键 词： | 中文篇章级语义分析 显式篇章句间关系 隐式篇章句间关系 |
Chinese Discourse Relation Recognition |
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| ZHANG Muyu,SONG Yuan,QIN Bing,LIU Ting.Chinese Discourse Relation Recognition[J].Journal of Chinese Information Processing,2013,27(6):51-58. |
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| Authors: | ZHANG Muyu SONG Yuan QIN Bing LIU Ting |
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| Affiliation: | Harbin Institute of Technology, Harbin, Heilongjiang 150001, China |
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| Abstract: | Discourse Relation Recognition is one important part of discourse analysis. This paper focused on Chinese discourse relation recognition, including explicit discourse relation recognition and implicit discourse relation recognition. For explicit discourse relation recognition, we proposed a statistical method based on discourse connectives rules which got rather good results. For implicit discourse relation recognition, we combined lexical, syntactic and semantic features in a supervised model to classify implicit relations. The detail analysis and experiment results are useful and provide a baseline for future work on this task.
Key wordsChinese discourse semantic analysis; explicit discourse relation recognition; implicit discourse relation recognition |
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| Keywords: | Chinese discourse semantic analysis explicit discourse relation recognition implicit discourse relation recognition |
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