C-Papers


论文题名
基于相关性约束的隐喻理解方法
Title
Metaphor Comprehension Method Based on Relevance Constraints
作者
苏畅;王晓梅;黄舒曼;陈怡疆
Institution
[苏畅] 厦门大学智能科学与技术系;[王晓梅] 厦门大学智能科学与技术系;[黄舒曼] 厦门大学智能科学与技术系;[陈怡疆] 厦门大学计算机科学系
期刊名称
软件学报
CN
ISSN
1000-9825
出版日期
2017-12-01
Volume
28
Issue
12
YM
3167-3182
GJZ
相关性; 隐喻理解; 语篇; 角度
Keywords
relevance; metaphor comprehension; discourse; perspective
LWZY
隐喻理解已成为语言学、认知学、计算机科学等研究的重要课题,也是自然语言处理中不可避免的任务.提出一种基于相关性约束的隐喻理解方法,利用隐含的相关; 角度计算目标域和源域的相关程度.首先,基于词、词的主题及语篇的主题扩展出多层次的语义表示;然后,利用上下文信息的相关关系,构建多层次的相关性模型; ,模型通过多种角度的相关关系将跨层次的语义信息关联起来;接着,采用random; walk的方法,通过迭代计算获得隐含角度的相关关系;最后,选择与目标域具有最大相关度的属性作为隐喻理解的结果.将模型应用到隐喻理解任务中,实验结; 果表明,该方法能够有效地实现隐喻自动理解.
Abstract
Metaphor comprehension has become an important issue of linguistics,; cognitive science and computer science. It is also an unavoidable task; of natural language processing. This paper presents a novel metaphor; comprehension method to make full use of global information based on; relevance constraints. The method uses implied perspective to calculate; the relevance degree between the target and source domains. First,; multi-level semantic representation is obtained based on the semantic; representation of word, topic features of word and topic features of; discourse. Next, the degree of relevance relations is calculated and the; relevance model is generated. Additionally, relevance relations is used; to connect cross-level nodes from different perspectives. Then, using; random walk algorithm, the relevance relations are acquired from latent; perspectives through iterative computations. Finally, the target; attribute that has the maximum relevance degree with the target domain; is selected as the comprehension result. Experimental results show that; the presented method is effective in metaphor comprehension.
Ref
Fund_Code
国家自然科学基金
FileName
10.13328/j.cnki.jos.005247

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