Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations

Author:

Meng Yu1,Zhang Yunyi1,Huang Jiaxin1,Zhang Yu1,Han Jiawei1

Affiliation:

1. University of Illinois at Urbana-Champaign, USA

Funder

Defense Advanced Research Projects Agency

National Science Foundation

Publisher

ACM

Reference68 articles.

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2. Arindam Banerjee Inderjit S. Dhillon Joydeep Ghosh and Suvrit Sra. 2005. Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. J. Mach. Learn. Res.(2005). Arindam Banerjee Inderjit S. Dhillon Joydeep Ghosh and Suvrit Sra. 2005. Clustering on the Unit Hypersphere using von Mises-Fisher Distributions. J. Mach. Learn. Res.(2005).

3. Kayhan Batmanghelich Ardavan Saeedi Karthik Narasimhan and Sam Gershman. 2016. Nonparametric spherical topic modeling with word embeddings. In ACL. Kayhan Batmanghelich Ardavan Saeedi Karthik Narasimhan and Sam Gershman. 2016. Nonparametric spherical topic modeling with word embeddings. In ACL.

4. Yoshua Bengio , Réjean Ducharme , Pascal Vincent , and Christian Janvin . 2003. A neural probabilistic language model. JMLR ( 2003 ). Yoshua Bengio, Réjean Ducharme, Pascal Vincent, and Christian Janvin. 2003. A neural probabilistic language model. JMLR (2003).

5. Kevin Beyer , Jonathan Goldstein , Raghu Ramakrishnan , and Uri Shaft . 1999. When is “nearest neighbor ” meaningful?. In ICDT. Kevin Beyer, Jonathan Goldstein, Raghu Ramakrishnan, and Uri Shaft. 1999. When is “nearest neighbor” meaningful?. In ICDT.

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