An Approach to Automatic Construction of Lexical Relations Between Chinese Nouns from Machine Readable Dictionary

In this paper, a machine readable dictionary is utilized to acquire Chinese noun pairs satisfying five lexical relations. For low accuracy of current Chinese parser, our method is different from the traditional ones that use parsing firstly. The new method is designed to be a three-step procedure. Firstly, it annotates the paraphrase of some nominal entries that are used as training data. Secondly, patterns that denote lexical relations between nouns are defined and the applicability of the patterns is learnt from training Maximum Entropy model. At last, these patterns are applied to the remaining portion of the dictionary. A relatively satisfying result is achieved.