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Chinese Zero Pronoun Resolution: A Chain to Chain Approach

机译:汉语零代词解析:链到链的方法

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摘要

Chinese zero pronoun (ZP) resolution plays a critical role in discourse analysis. Different from traditional mention to mention approaches, this paper proposes a chain to chain approach to improve the performance of ZP resolution from three aspects. Firstly, consecutive ZPs are clustered into coreferential chains, each working as one independent anaphor as a whole. In this way, those ZPs far away from their overt antecedents can be bridged via other consecutive ZPs in the same coreferential chains and thus better resolved. Secondly, common noun phrases (NPs) are automatically grouped into coreferential chains using traditional approaches, each working as one independent antecedent candidate as a whole. Then, ZP resolution is made between ZP coreferential chains and common NP coreferential chains. In this way, the performance can be much improved due to the effective reduction of search space by pruning singletons and negative instances. Finally, additional features from ZP and common NP coreferential chains are employed to better represent anaphors and their antecedent candidates, respectively. Comprehensive experiments on the OntoNotes corpus show that our chain to chain approach significantly outperforms the state-of-the-art mention to mention approaches. To our knowledge, this is the first work to resolve zero pronouns in a chain to chain way.
机译:汉语零代词(ZP)的解析在语篇分析中起着至关重要的作用。与传统的提及提及方法不同,本文从三个方面提出了一种链到链方法来提高ZP分辨率的性能。首先,将连续的ZP聚集成核心ferferential链,每个链整体作为一个独立的照应。通过这种方式,可以通过同一核心能力链中的其他连续ZP桥接那些远离其显式先例的ZP,从而更好地解决它们。其次,使用传统方法将普通名词短语(NP)自动分组为核心偏好链,每个名词整体作为一个独立的先行候选者工作。然后,在ZP核心能级链和公共NP核心能级链之间进行ZP解析。这样,由于通过修剪单例和否定实例有效减少了搜索空间,因此可以大大提高性能。最后,ZP和普通NP共指链的其他功能分别用于更好地表示回指和其先行词。在OntoNotes语料库上进行的综合实验表明,我们的链到链方法明显优于最新的提及方法。据我们所知,这是第一个以连锁方式解决零代词的工作。

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