Papers with CCG parser

3 papers
Automatic Generation of High Quality CCGbanks for Parser Domain Adaptation (P19-1)

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Challenge: Existing methods for Combinatory Categorial Grammar (CCG) parsing are limited to a specific parser architecture, making it non-trivial to apply to current parsers.
Approach: They propose a domain adaptation method for Combinatory Categorial Grammar (CCG) they propose to generate CCG corpora using cheaper dependency trees.
Outcome: The proposed method improves on speech conversation and math problems.
Consistent CCG Parsing over Multiple Sentences for Improved Logical Reasoning (N18-2)

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Challenge: Existing methods to recognize textual entailment use a CCG parser to process sentences . failing to recognize the similar syntactic structure results in inconsistent argument structures .
Approach: They propose to extend existing CCG parsers to parse sentences consistently . they use an inter-sentence modeling with Markov Random Fields to achieve this .
Outcome: The proposed method improves on English and Japanese languages.
Max-Margin Incremental CCG Parsing (2020.acl-main)

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Challenge: a new incremental parser reduces the number of beam search violations and minimises the biggest violation.
Approach: They propose to use beam search optimisation to minimise all beam search violations instead of minimising only the biggest violation.
Outcome: The proposed parser outperforms existing non-incremental parsers and minimises all beam search violations instead of minimising the biggest violation.

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