A Tree Kernel-Based Unified Framework for Chinese Zero Anaphora Resolution
A Tree Kernel-Based Unified Framework for Chinese Zero Anaphora Resolution
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发表时间：
2010-10
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通讯作者：
Fang Kong;Guodong Zhou
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作者：
Fang Kong;Guodong Zhou
本文提出了零形回指消解的统一框架，该框架分为零形回指检测、回指判定和先行语识别三个子任务。特别是，所有三个子任务都是使用基于树核的方法和适当的句法分析树结构来处理的。在汉语零形回指语料库上的实验结果表明，基于树核的方法明显优于基于特征的方法。这表明了结构信息在零形回指消解中的关键作用，以及基于树核的方法在对这种结构信息进行建模中的必要性。据我们所知，这是第一次通过一个统一的框架来处理汉语零指回指消解中的所有三个子任务的系统工作。此外，我们还发布了一个包含100个文档的汉语零回指语料库，该语料库为中文树库(CTB)6.0中人工句法分析的句子添加了一层标注。
This paper proposes a unified framework for zero anaphora resolution, which can be divided into three sub-tasks: zero anaphor detection, anaphoricity determination and antecedent identification. In particular, all the three sub-tasks are addressed using tree kernel-based methods with appropriate syntactic parse tree structures. Experimental results on a Chinese zero anaphora corpus show that the proposed tree kernel-based methods significantly outperform the feature-based ones. This indicates the critical role of the structural information in zero anaphora resolution and the necessity of tree kernel-based methods in modeling such structural information. To our best knowledge, this is the first systematic work dealing with all the three sub-tasks in Chinese zero anaphora resolution via a unified framework. Moreover, we release a Chinese zero anaphora corpus of 100 documents, which adds a layer of annotation to the manually-parsed sentences in the Chinese Treebank (CTB) 6.0.