Tetreault, Joel, Foster, Jennifer 
ORCID: 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.
Abstract
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.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Event Type: | Conference |
| Refereed: | Yes |
| Subjects: | Computer Science > Computational linguistics |
| DCU Faculties and Centres: | Research Initiatives and Centres > National Centre for Language Technology (NCLT) |
| Published in: | Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics. . Association for Computational Linguistics. |
| Publisher: | Association for Computational Linguistics |
| Official URL: | http://www.aclweb.org/anthology/P/P10/ |
| Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
| ID Code: | 15989 |
| Deposited On: | 08 Dec 2010 12:55 by Shane Harper . Last Modified 10 Oct 2018 15:14 |
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