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AnI-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. InProceedings 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)
Copy Citation:
PDF:
https://aclanthology.org/D14-1051.pdf


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