Papers with labeled attachment score

2 papers
Valency-Augmented Dependency Parsing (D18-1)

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Challenge: valency analysis is a complex task that requires a large number of subcategorizations, such as the number and types of syntactic dependents.
Approach: They propose a parsing approach that explicitly models the number and types of syntactic dependents as valency patterns and a probabilistic model for tagging them.
Outcome: The proposed approach outperforms the state-of-the-art labeled attachment score on 53 treebanks representing 41 languages and outperformed the previous state- of-the art labeles by 0.7.
The Persian Dependency Treebank Made Universal (2022.lrec-1)

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Challenge: Existing universal dependency treebanks are lacking sufficient annotated data.
Approach: They propose a method for converting Persian Dependency Treebank to Universal Dependencies using an automatic method.
Outcome: The proposed method is more compatible with Universal Dependencies than the Uppsala Persian Universal Dependency Treebank.

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