Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization

Tran-Binh Dang, Ha-Thanh Nguyen, Le-Minh Nguyen


Anthology ID:
2020.paclic-1.8
Volume:
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation
Month:
October
Year:
2020
Address:
Hanoi, Vietnam
Editors:
Minh Le Nguyen, Mai Chi Luong, Sanghoun Song
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
70–75
Language:
URL:
https://aclanthology.org/2020.paclic-1.8
DOI:
Bibkey:
Cite (ACL):
Tran-Binh Dang, Ha-Thanh Nguyen, and Le-Minh Nguyen. 2020. Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization. In Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, pages 70–75, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
Latent Topic Refinement based on Distance Metric Learning and Semantics-assisted Non-negative Matrix Factorization (Dang et al., PACLIC 2020)
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PDF:
https://aclanthology.org/2020.paclic-1.8.pdf