Papers with Wall Street Journal test set

1 papers
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples (P18-1)

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Challenge: Statistical parsers are often criticized for their performance outside of the domain they were trained on . we show that word representations reduce the need for domain adaptation when the target domain is syntactically similar to the source domain.
Approach: They propose a way to adapt a parser to a syntactically similar target domain using partial annotations.
Outcome: The proposed model increases the accuracy of a parser on the Wall Street Journal by 1.7% over the previous state-of-the-art model.

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