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Found 2 papers, 1 papers with code
DynGL-SDP: Dynamic Graph Learning for Semantic Dependency Parsing
A recent success in semantic dependency parsing shows that graph neural networks can make significant accuracy improvements, owing to its powerful ability in learning expressive graph representations.
Evaluating Ensemble Based Pre-annotation on Named Entity Corpus Construction in English and Chinese
Annotated corpora are crucial language resources, and pre-annotation is an usual way to reduce the cost of corpus construction.
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