基于词汇语义的百科辞典知识提取试验An-ACLAnthology.PDFVIP

Computational Linguistics and Chinese Language Processing Vol.7, No.2 , August 2002 , pp. 101-112 101 © The Association for Computational Linguistics and Chinese Language Processing 基於詞彙語義的百科辭典知識提取實驗 An Experiment on Knowledge Extraction from an Encyclopedia Based on Lexicon Semantics * + 宋柔 ､許勇 Song Rou, Xu Yong 摘要 本文研究百科辭典釋文信息提取方法，設計了一個基於詞彙語義屬性和關係 的形式系統。在對百科辭典的詞目按語義分類的基礎上，對釋文的線性詞串 進行簡單的語義屬性匹配，便可提取文本中的簡單知識。在一項百科辭典信 息提取的實驗中，這一方法的有效性得到了初步的驗證。 關鍵詞：知識提取，詞彙語義 Abstract The typical approaches to extracting text knowledge are sentential parsing and pattern matching. Theoretically, text knowledge extraction should be based on complete understanding, so the technology of sentential parsing is used in the field. However, the fragility of systems and highly ambiguous parse results are serious problems. On the other hand, by avoiding thorough parsing, pattern matching becomes highly efficient. However, different expressions of the same information will dramatically increase the number of patterns and nullify the simplicity of the approach. Parsing in Chinese encounters greater barriers than that in English does. Firstly, Chinese lacks morphology. For example, recognition of base-NP in Chinese is more difficult than that in English because its left boundary is hard to discern. * 北京語言大學計算機系 Beijing Language and Culture University E-mail: songrou@ + 北京工業大學計算機學院 Beijing Polytechnic University E-mail: hopexy163@163.com 102