Papers by Whanhee Cho

1 papers
Bidirectional Masked Self-attention and N-gram Span Attention for Constituency Parsing (2023.findings-emnlp)

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Challenge: Existing attention mechanisms for constituency parsing lack directional information needed to form sentence spans.
Approach: They propose a bidirectional masked and N-gram span Attention model which captures the explicit dependencies between each word and enhances the representation of the output span vectors.
Outcome: The proposed model achieves state-of-the-art performance on the Penn Treebank and Chinese Penn TreeBank datasets with F1 scores of 96.47 and 94.15 respectively.

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