They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems

Nitin Madnani, Martin Chodorow, Joel Tetreault, Alla Rozovskaya


Anthology ID:
P11-2089
Volume:
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2011
Address:
Portland, Oregon, USA
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
508–513
Language:
URL:
https://aclanthology.org/P11-2089
DOI:
Bibkey:
Cite (ACL):
Nitin Madnani, Martin Chodorow, Joel Tetreault, and Alla Rozovskaya. 2011. They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 508–513, Portland, Oregon, USA. Association for Computational Linguistics.
Cite (Informal):
They Can Help: Using Crowdsourcing to Improve the Evaluation of Grammatical Error Detection Systems (Madnani et al., ACL 2011)
Copy Citation:
PDF:
https://aclanthology.org/P11-2089.pdf
Dataset:
 P11-2089.Datasets.zip