• Corpus ID: 400148

Syntax Aware LSTM Model for Chinese Semantic Role Labeling

  title={Syntax Aware LSTM Model for Chinese Semantic Role Labeling},
  author={Feng Qian and Lei Sha and Baobao Chang and Luochen Liu and Ming Zhang},
As for semantic role labeling (SRL) task, when it comes to utilizing parsing information, both traditional methods and recent recurrent neural network (RNN) based methods use the feature engineering way. In this paper, we propose Syntax Aware Long Short Time Memory(SA-LSTM). The structure of SA-LSTM modifies according to dependency parsing information in order to model parsing information directly in an architecture engineering way instead of feature engineering way. We experimentally… 
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