Papers by Thanh Hai Dang

1 papers
Large-scale Exploration of Neural Relation Classification Architectures (D18-1)

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Challenge: Existing studies on relation classification have been limited to a very narrow range of datasets, making comparisons between approaches difficult.
Approach: They propose a multi-channel LSTM model combined with a CNN that takes advantage of all currently popular linguistic and architectural features.
Outcome: The proposed model achieves state-of-the-art on two datasets and provides direct insights into the challenges faced by language models on relation classification.

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