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
- 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)
- PDF:
- https://preview.aclanthology.org/add_acl24_videos/D14-1051.pdf