Papers with joint decoder

2 papers
Head-Driven Phrase Structure Grammar Parsing on Penn Treebank (P19-1)

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Challenge: Head-driven phrase structure grammars have a uniform formalism representing rich contextual syntactic and even semantic meanings.
Approach: They propose to integrate constituent and dependency formal representations into head-driven phrase structure.
Outcome: The proposed parser achieves state-of-the-art performance on Penn Treebank and Chinese Penn TreeBank.
Extracting Headless MWEs from Dependency Parse Trees: Parsing, Tagging, and Joint Modeling Approaches (2020.acl-main)

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Challenge: Headless multi-word expressions are frequent in natural language but lack internal syntactic dominance relations.
Approach: They propose an efficient joint decoding algorithm that combines scores from both strategies.
Outcome: The proposed algorithm combines scores from parsing and tagging for predicting flat MWEs . the proposed algorithm is more accurate than parse and more efficient for non-BERT features .

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