Papers by Ryosuke Yamaki

1 papers
Holographic CCG Parsing (2023.acl-long)

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Challenge: Existing methods for supertagging and parsing use black-box neural architectures to implicitly model phrase structure dependencies.
Approach: They propose a method for formulating CCG as a recursive composition in a continuous vector space by using holographic embeddings as holography operator.
Outcome: The proposed method can achieve comparable performance to state-of-the-art parsing with Transformers.

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