Papers with embedding-based parameterization of rule probabilities

1 papers
Unsupervised Discontinuous Constituency Parsing with Mildly Context-Sensitive Grammars (2023.acl-long)

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Challenge: a recent study shows that context-free grammars are not natural for modeling discontinuous language phenomena such as extrapositions and cross-serial dependencies.
Approach: They propose a grammar induction approach with mildly context-sensitive grammars for unsupervised discontinuous parsing.
Outcome: Experiments on German and Dutch show that the proposed grammar induction method is beneficial for unsupervised parsing.

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