Using Parse Features for Preposition Selection and Error Detection

We evaluate the effect of adding parse features to a leading model of preposition usage. Results show a significant improvement in the preposition selection task on native speaker text and a modest increment in precision and recall in an ESL error detection task. Analysis of the parser output indicates that it is robust enough in the face of noisy non-native writing to extract useful information.

• Type: Journal
• Year: 2010
• Where: ACL
• Authors: Joel R. Tetreault, Jennifer Foster, Martin Chodorow
• Keywords: ACL 2010, Computational Linguistics, Error Detection Task, Preposition Selection Task, Preposition Usage