Automatic Detection of Improper Categorization in Semantic Lexicon
Yanqiu Shao · Zhongwen xinxi xuebao · 2011
The and general principle by Baoya Chen(1999),focuses on differentiating word and phrase.Through this principle,words and phrases are classified into three kinds: both parallel and general,parallel but not general,neither parallel nor general.The first kind should not be taken as a word.Since most semantic lexicons haven't conformed to the Principle when classifying one unit into word or phrase,we might acquire many rules that follow the Principle.Given two semantic lexicons,we might induce two sets of rules,both of which have their own positive examples and counterexamples.If a counterexample in one lexicon is also the positive example in another lexicon,it usually means there exists one improper categorization in the former lexicon.Based on this idea,an automatic detection method is proposed.Experimental results show the effectiveness of this method.