An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents

Mohamed Morchid, Mohamed Bouallegue, Richard Dufour, Georges Linarès, Driss Matrouf, Renato de Mori


Anthology ID:
D14-1051
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:
443–454
Language:
URL:
https://aclanthology.org/D14-1051
DOI:
10.3115/v1/D14-1051
Bibkey:
Cite (ACL):
Mohamed Morchid, Mohamed Bouallegue, Richard Dufour, Georges Linarès, Driss Matrouf, and Renato de Mori. 2014. An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 443–454, Doha, Qatar. Association for Computational Linguistics.
Cite (Informal):
An I-vector Based Approach to Compact Multi-Granularity Topic Spaces Representation of Textual Documents (Morchid et al., EMNLP 2014)
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PDF:
https://aclanthology.org/D14-1051.pdf