Using parse features for preposition selection and error detection
Tetreault, Joel, Foster, JenniferORCID: 0000-0002-7789-4853 and Chodorow, Martin
(2010)
Using parse features for preposition selection and error detection.
In: ACL 2010 - 48th Annual Meeting of the Association for Computational Linguistics, 11-16 July 2010, Uppsala, Sweden.
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.