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Chinese Zero Pronoun Resolution: A Chain to Chain Approach

机译:中国零代词解决:链条的链条

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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:中国零代词(ZP)分辨率在话语分析中发挥着关键作用。与传统提及的不同提及方法,本文提出了一种链接方法,从三个方面提高ZP分辨率的绩效。首先,将连续的ZPS聚集到经验链中,每个都作为一个整体工作为一个独立的邦戈。通过这种方式,远离其公开的防眩带的ZP可以通过相同的经验链中的其他连续ZPS桥接,从而更好地解决。其次,常见的名词短语(NPS)将使用传统方法自动分组成经济型链,每个方法都作为一个整体工作为一个独立的先行候选者。然后,在ZP Coreferential链和常见的NP Coreferential链之间进行ZP分辨率。以这种方式,由于通过修剪单例和负实例有效减少搜索空间,因此性能会很大。最后,采用ZP和普通NP经营链的其他特征分别用于更好地代表视力和前一种候选者。 Onototes Corpus的综合实验表明,我们的链条方法显着优于最先进的提及方法。为了我们的知识,这是第一个解决链路中的零代词的工作。

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