Work

The Effect of Higher-Order Dependency Features in Discriminative Phrase-Structure Parsing

Year: 2013

Type: conference-paper

Abstract: Higher-order dependency features are known to improve dependency parser accuracy. We investigate the incorporation of such features into a cube decoding phrase-structure parser. We find considerable gains in accuracy on the range of standard metrics. What is especially interesting is that we find strong, statistically significant gains on dependency recovery on out-of-domain tests (Brown vs. WSJ). This suggests that higher-order dependency features are not simply over-fitting the training material.

Source: Edinburgh Research Explorer (University of Edinburgh)

Authors: Greg Coppola, Mark Steedman

Institution: University of Edinburgh

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: University of Edinburgh

OpenAlex ID: W2250645575

FWCI: 0.906

Cites: 36

Cited by: 5

Related to: 10