Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains

@inproceedings{Wang2017CanSH,
  title={Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains},
  author={Liangguo Wang and Jing Jiang and Hai Leong Chieu and Chen Hui Ong and Dandan Song and Lejian Liao},
  booktitle={ACL},
  year={2017}
}
In this paper, we study how to improve the domain adaptability of a deletion-based Long Short-Term Memory (LSTM) neural network model for sentence compression. We hypothesize that syntactic information helps in making such models more robust across domains. We propose two major changes to the model: using explicit syntactic features and introducing syntactic constraints through Integer Linear Programming (ILP). Our evaluation shows that the proposed model works better than the original model as… CONTINUE READING
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