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Found 2 papers, 1 papers with code
Empirical Analysis for Unsupervised Universal Dependency Parse Tree Aggregation
Dependency parsing is an essential task in NLP, and the quality of dependency parsers is crucial for many downstream tasks.
CPTAM: Constituency Parse Tree Aggregation Method
This paper adopts the truth discovery idea to aggregate constituency parse trees from different parsers by estimating their reliability in the absence of ground truth.
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