Papers by Juneki Hong

1 papers
Linear-time Constituency Parsing with RNNs and Dynamic Programming (P18-2)

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Challenge: Existing span-based constituency parsers are too slow for longer sentences and for applications beyond sentence boundaries.
Approach: They propose a linear-time constituency parser with RNNs and dynamic programming using graph-structured stack and beam search.
Outcome: The proposed parser is faster for long sentences and faster for discourse parsing.

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