Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network
Peng Shi, Zhiyang Teng, Yue Zhang · 2016
We investigate mutual benefits between syntax and semantic roles using neural network models, by studying a parsing→SRL pipeline, a SRL→parsing pipeline, and a simple joint model by embedding sharing.The integration of syntactic and semantic features gives promising results in a Chinese Semantic Treebank, demonstrating large potentials of neural models for joint parsing and semantic role labeling.