Coordinated Topic Modeling

v1v2 (latest)

Coordinated Topic Modeling

16 October 2022

Pritom Saha Akash

Kevin Chen-Chuan Chang

ArXiv (abs)PDF HTML

Papers citing "Coordinated Topic Modeling"

13 / 13 papers shown

Title
Keyword Assisted Embedded Topic Model Bahareh Harandizadeh Hunter Priniski Fred Morstatter 51 24 0 22 Nov 2021
Keyword Assisted Topic Models Shusei Eshima Kosuke Imai Tomoya Sasaki 34 98 0 13 Apr 2020
Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach Wenpeng Yin Jamaal Hay Dan Roth 178 550 0 31 Aug 2019
Discriminative Topic Mining via Category-Name Guided Text Embedding Yu Meng Jiaxin Huang Guangyuan Wang Zihan Wang Chao Zhang Yu Zhang Jiawei Han 73 75 0 20 Aug 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach Yinhan Liu Myle Ott Naman Goyal Jingfei Du Mandar Joshi Danqi Chen Omer Levy M. Lewis Luke Zettlemoyer Veselin Stoyanov AIMat 703 24,572 0 26 Jul 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 195 646 0 08 Jul 2019
Towards Autoencoding Variational Inference for Aspect-based Opinion Summary Tai Hoang Huy Q. Le Tho Quan 42 11 0 07 Feb 2019
Weakly-Supervised Neural Text Classification Yu Meng Jiaming Shen Chao Zhang Jiawei Han 103 188 0 02 Sep 2018
Autoencoding Variational Inference For Topic Models Akash Srivastava Charles Sutton BDL DRL 152 564 0 04 Mar 2017
Automatic Labelling of Topics with Neural Embeddings Shraey Bhatia Jey Han Lau Timothy Baldwin BDL 25 67 0 16 Dec 2016
Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge Ryan J. Gallagher Kyle Reing David C. Kale Greg Ver Steeg 154 175 0 30 Nov 2016
Variational Inference: A Review for Statisticians David M. Blei A. Kucukelbir Jon D. McAuliffe BDL 314 4,817 0 04 Jan 2016
Supervised Topic Models David M. Blei Jon D. McAuliffe BDL 136 1,788 0 03 Mar 2010

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.