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EMNLP
2008

Automatic Prediction of Parser Accuracy

9 years 3 months ago
Automatic Prediction of Parser Accuracy
Statistical parsers have become increasingly accurate, to the point where they are useful in many natural language applications. However, estimating parsing accuracy on a wide variety of domains and genres is still a challenge in the absence of gold-standard parse trees. In this paper, we propose a technique that automatically takes into account certain characteristics of the domains of interest, and accurately predicts parser performance on data from these new domains. As a result, we have a cheap (no annotation involved) and effective recipe for measuring the performance of a statistical parser on any given domain.
Sujith Ravi, Kevin Knight, Radu Soricut
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where EMNLP
Authors Sujith Ravi, Kevin Knight, Radu Soricut
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