基于主位-述位结构理论的英文作文连贯性建模研究

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摘要该文在研究了有监督的基于实体和基于篇章关系网格的篇章连贯性模型的基础上,提出了一个无监督的基于主位-述位结构理论的篇章连贯性模型。该模型通过引入词语的词干、上下位、近义和复述等语义方面的信息来计算相邻句子中主位和述位的相似度,并利用此相似度值来描述篇章的连贯性。同时,该文提出了一种简单有效的基于篇章关系计数的连贯性模型,并采用线性组合方法将其与基于主位-述位结构理论的连贯性模型加以集成。上述模型在国际基准英文作文语料上进行试验,实验结果表明采用线性组合的连贯性模型后,作文连贯性检测准确率与目前基于实体和篇章关系网格的模型相比得到显著提升。

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	徐凡
	王明文
	谢旭升
	李茂西
	万剑怡

关键词 ：衔接性, 连贯性, 主位-述位结构理论, 篇章关系, 线性组合

Abstract：This paper presents an unsupervised theme-rheme structure theory based discourse coherence model, in contrast to the current supervised entity based model and the discourse relation grid based model. Our model describes discourse coherence via calculating the similarity between theme or rheme of adjacent sentences through incorporating more semantic knowledge like word stem, hypernym, hyponym, synonym and paraphrase etc. Meanwhile, this paper also presents a simple and effective coherence model based on counting the number of discourse relations within a discourse, and integrates the theme-rheme-based model using linear combination method. Evaluation on benchmark English student essay dataset reveals the effectiveness of our linear combination discourse coherence model, significantly outperforming baselines the literature.

Key words： cohesion coherence theme-rheme structure theory discourse relation linear combination

收稿日期: 2013-06-25

中图分类号:

TP391

基金资助:国家自然科学基金(61402208, 61462045,61562042),江西省教育厅项目(GJJ150351)

通讯作者: 徐凡

作者简介: 徐凡(1979-),博士,讲师,主要研究领域为自然语言处理和中文信息处理。E-mail:xufan@jxnu.edu.cn
王明文(1964-),博士,教授,主要研究领域为信息检索、数据挖掘、自然语言处理。E-mail:mwwang@jxnu.edu.cn
谢旭升(1963-),教授,主要研究领域为数据库技术及应用、软件设计及应用。E-mail: xiexusheng@sina.com

链接本文:

http://jcip.cipsc.org.cn/CN/Y2016/V30/I1/115

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