An End to end Approach to Learning Semantic Frames with Feedforward Neural Network
We present an end to end method for learning verb specific semantic frames with feedforward neural network (FNN) Previous works in this area mainly adopt a multi step procedure including part of speech tagging, dependency parsing and so on. On the contrary, our method uses a FNN model that maps verbspecific sentences directly to semantic frames. The simple model gets good results on annotated data and has a good generalization ability. Finally we get 0.82 F score on 63 verbs and 0.73 F score on 407 verbs.
NAACL