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郑庆华

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期刊论文

An Approach to Acquire Semantic Relationships Between Words from Web Document1

郑庆华Xia Sun Qinghua Zheng Haifeng Dang Yunhua Hu and Huixian Bai

R. W. H. Lau et al.(Eds.): ICWL 2005, LNCS 3583, pp. 236-243, 2005.,-0001,():

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摘要/描述

In this paper, we focus on the semantic relationships acquisition from Chinese web documents motivated by the large requirement of web question answering system in e-Learning. With our scheme, we dwindle in numbers of text to be analyzed and obtain initial sentence-level text in pre-process phase. Then linguistic rules, which are broken down into unambiguous and ambiguous, designed for Chinese phrases are applied to these sentence-level text to extract the synonymy relationship, hyponymy relationship, hypernymy relationship and parataxis relationship. Lastly, candidates are refined using two heuristics. Compared to other previous works, we apply not only strict unambiguous linguistic rules but also loose ambiguous linguistic rules to extract relationships and proposed efficient approach to refine the outputs of these rules. Experiments show that this method can acquire semantic relationships efficiently and effectively.

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版权说明:以下全部内容由郑庆华上传于   2005年12月22日 23时44分57秒,版权归本人所有。

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