A New Measure of Semantic Similarity between Unknown Chinese Words Based on HowNet
WU Huixin · Zhongwen xinxi xuebao · 2012
A new measure based on HowNet is put forward to compute the semantic similarity between unknown Chinese words.Firstly,the semantic matching function is constructed according the YiHeNet;secondly,nodes in the concept graphs of unknown Chinese words are classified according to their different effects in expressing the semantic information;then,the three notions of arcs,node pairs and node pair sets are classified according to matching functions;finally,similarity measures are designed to compute the similarities of unknown Chinese words,similarities of different node pairs and similarities of different node pair sets.This new measure helps to classify the semantic information of those unknown words and to apply it into the computing course,and experiments prove its effectiveness.