Does Size Matter – How Much Data is Required to Train a REG Algorithm?

Mariët Theune, Ruud Koolen, Emiel Krahmer, Sander Wubben


Anthology ID:
P11-2116
Volume:
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies
Month:
June
Year:
2011
Address:
Portland, Oregon, USA
Editors:
Dekang Lin, Yuji Matsumoto, Rada Mihalcea
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
660–664
Language:
URL:
https://aclanthology.org/P11-2116
DOI:
Bibkey:
Cite (ACL):
Mariët Theune, Ruud Koolen, Emiel Krahmer, and Sander Wubben. 2011. Does Size Matter – How Much Data is Required to Train a REG Algorithm?. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, pages 660–664, Portland, Oregon, USA. Association for Computational Linguistics.
Cite (Informal):
Does Size Matter – How Much Data is Required to Train a REG Algorithm? (Theune et al., ACL 2011)
Copy Citation:
PDF:
https://aclanthology.org/P11-2116.pdf