arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1507.02145cs.CL
收藏

利用Web学习汉语坐标词的挖掘

Learning to Mine Chinese Coordinate Terms Using the Web

Peking University(北京大学)

Xiaojiang Huang, Xiaojun Wan, Jianguo Xiao

摘要:

并列关系是指概念的实例之间的关系和概念的直接下位词之间的关系。本文主要研究如何从用户给定的中文种子词中抽取出与种子词相对应的词,并在种子词具有多个含义的情况下,对属于不同概念的词进行分组。我们提出了一种半监督的方法,集成手动定义的语言模式和自动学习的半结构模式,以提取中文坐标词从Web搜索结果。此外,术语被分组到不同的概念的基础上,他们共同出现的术语和上下文。我们进一步计算提取的术语的显着性分数,并相应地对它们进行排名。实验结果表明,我们提出的方法生成的结果具有高质量和广泛的覆盖面。

英文摘要:

Coordinate relation refers to the relation between instances of a concept and the relation between the directly hyponyms of a concept. In this paper, we focus on the task of extracting terms which are coordinate with a user given seed term in Chinese, and grouping the terms which belong to different concepts if the seed term has several meanings. We propose a semi-supervised method that integrates manually defined linguistic patterns and automatically learned semi-structural patterns to extract coordinate terms in Chinese from web search results. In addition, terms are grouped into different concepts based on their co-occurring terms and contexts. We further calculate the saliency scores of extracted terms and rank them accordingly. Experimental results demonstrate that our proposed method generates results with high quality and wide coverage.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑