Scaling to Large³ Data: An Efficient and Effective Method to Compute Distributional Thesauri

Martin Riedl, Chris Biemann


Anthology ID:
D13-1089
Volume:
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing
Month:
October
Year:
2013
Address:
Seattle, Washington, USA
Editors:
David Yarowsky, Timothy Baldwin, Anna Korhonen, Karen Livescu, Steven Bethard
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
884–890
Language:
URL:
https://aclanthology.org/D13-1089
DOI:
Bibkey:
Cite (ACL):
Martin Riedl and Chris Biemann. 2013. Scaling to Large³ Data: An Efficient and Effective Method to Compute Distributional Thesauri. In Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, pages 884–890, Seattle, Washington, USA. Association for Computational Linguistics.
Cite (Informal):
Scaling to Large³ Data: An Efficient and Effective Method to Compute Distributional Thesauri (Riedl & Biemann, EMNLP 2013)
Copy Citation:
PDF:
https://aclanthology.org/D13-1089.pdf