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A method of Chinese coreference resolution combined multi-features in discourse

机译:语篇中多特征的汉语共指消解方法

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Coreference that is a kind of ubiquitous language phenomenon makes the topic more highlighted and the narration more concise and coherent in discourse. Conversely, it leads to ambiguity in Natural Language Processing as well. Coreference resolution is the process that eliminates the indeterminacy caused by coreferential forms. To improve the current system, a method of coreference resolution combined with multi-features, mainly including clause's or full-sentence's distance, semantic class, and shorten-form features, is proposed in this paper. Experiments show that those features are valuable and have certain effects on the performance of resolution. It can be verified by both precision and F-measure in Chinese-oriented text discourse. In addition, a novelty point absorbed somewhat domain ontological idea in our previous work and embodied further in this paper is rather than usual manual linguistic rules-based approaches for processing the resolution.
机译:共指是一种普遍存在的语言现象,在话题中使话题更加突出,叙述更加简洁和连贯。相反,它也导致自然语言处理中的歧义。共指解析是消除由核心格形式引起的不确定性的过程。为了改进当前系统,提出了一种结合多特征的共指解析方法,主要包括从句或全句的距离,语义类别和短形式特征。实验表明,这些功能很有价值,并且对分辨率的性能有一定的影响。在面向中文的文本语篇中,它既可以通过精确度又可以通过F量度来验证。另外,一个新颖点在我们以前的工作中吸收了一些领域本体论的思想,并在本文中得到了进一步体现,而不是通常的基于语言规则的手动方法来解决。

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