Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus

Eric Xing


Anthology ID:
P12-4003
Volume:
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
Month:
July
Year:
2012
Address:
Jeju Island, Korea
Venue:
ACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3
Language:
URL:
https://aclanthology.org/P12-4003
DOI:
Bibkey:
Cite (ACL):
Eric Xing. 2012. Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus. In Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts, page 3, Jeju Island, Korea. Association for Computational Linguistics.
Cite (Informal):
Topic Models, Latent Space Models, Sparse Coding, and All That: A Systematic Understanding of Probabilistic Semantic Extraction in Large Corpus (Xing, ACL 2012)
Copy Citation:
PDF:
https://preview.aclanthology.org/paclic-22-ingestion/P12-4003.pdf
Presentation:
 P12-4003.Presentation.pdf