Strongly Incremental Repair Detection

Julian Hough, Matthew Purver


Anthology ID:
D14-1009
Volume:
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Month:
October
Year:
2014
Address:
Doha, Qatar
Editors:
Alessandro Moschitti, Bo Pang, Walter Daelemans
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
78–89
Language:
URL:
https://aclanthology.org/D14-1009
DOI:
10.3115/v1/D14-1009
Bibkey:
Cite (ACL):
Julian Hough and Matthew Purver. 2014. Strongly Incremental Repair Detection. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 78–89, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
Strongly Incremental Repair Detection (Hough & Purver, EMNLP 2014)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-2024-clasp/D14-1009.pdf