Papers with TAG parsing

2 papers
Generalized chart constraints for efficient PCFG and TAG parsing (P18-2)

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Challenge: Existing pruning techniques limit chart constraints to PCFGs and cannot be applied to more expressive grammars.
Approach: They propose to apply chart constraints to more expressive grammars and a neural tagger which predicts chart constraints at very high precision.
Outcome: The proposed technique accelerates both PCFG and TAG parsing by two orders of magnitude while improving accuracy.
End-to-End Graph-Based TAG Parsing with Neural Networks (N18-1)

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Challenge: Using BiLSTMs, highway connections, and character-level CNNs, we propose a graph-based Tree Adjoining Grammar (TAG) parser.
Approach: They propose a graph-based Tree Adjoining Grammar parser that uses BiLSTMs, highway connections, and character-level CNNs.
Outcome: The proposed parser outperforms the previously reported best by more than 2.2 LAS and UAS points.

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