Chinese Frame Disambiguation Method Based on GCN and Gate Mechanism
Chinese frame disambiguation aims to select a proper frame to match the semantic scene of the target word in a specific sentence.This paper proposed a GCN based method for Chinese frame disambiguation to model the syn-tactic structure in the sentence.A gate mechanism is introduced to filter the noise information irrelevant to the target word in the hidden layer vector.On this basis,a constraint mechanism is proposed to optimize the learning of the model and improve the representation vector.The model outperforms the state-of-the-art models on the CFN,FN1.5 and FN1.7 datasets.
Chinese frame disambiguationsyntactic informationGCNgate mechanism
NETL
NSTL
万方数据
维普
