Automatic extraction of lexical relations from Chinese machine readable dictionary

Lexical relations are very important for NLP. Most previous work to get them is done by hand. In this paper, we describe an automated strategy which exploits a machine readable dictionary (MRD) to construct a richly-structured network of lexical relations. In our system lexical relations include five basic semantic relations, two phonetic relations and one orthographic relation. These relations constitute the basic framework of our lexical network. Then we present an approach to use heuristic functions to extract semantic relations while we conduct syntactic parsing. Experimental results demonstrate that our method is effective