Papers by Achyudh Ram

1 papers
Rethinking Complex Neural Network Architectures for Document Classification (N19-1)

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Challenge: Neural network models for many NLP tasks have grown increasingly complex in recent years . authors of recent papers question the necessity of such architectures and find them quite effective .
Approach: They propose to use regularization techniques borrowed from language modeling to improve model accuracy . they find that a simple biLSTM architecture with appropriate regularization yields competitive results .
Outcome: a simple biLSTM model outperforms the state-of-the-art on four benchmark datasets . authors say that improvements are not real, but are attributed to mundane reasons .

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