Semantics Preference Method Based on MDL and LSC
Changdong Li, Zhang Li-juan, Wei Zhao, Jing Shi · Jisuanji gongcheng · 2011
To solve automatic predicate-verb choosing for argument,this paper gives semantics preference method based on Minumum Description Length(MDL) and Latent Semantic Clustering(LSC).MDL is used to calculate of each verb-noun pair.The probabilities of a verb preferring for a noun P(v,n) is computed based on LSC model and EM is used to evaluate the parameters.For the same verb-noun pair,the sum of and P(v,n) is considered to represent the association between the verb and the noun.Experiments show the F1 reaches 85.26%,and it is better than MDL or SCL methods.