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Topic Modeling

TopicLeading institutions, researchers & key papers

This cluster of papers covers a wide range of advancements in natural language processing, including neural network architectures, word representation models, machine translation techniques, text classification algorithms, semantic similarity measures, named entity recognition methods, pretrained language models, sequence-to-sequence learning approaches, topic modeling strategies, and information retrieval systems.

251
Works

How has Topic Modeling's publication output changed over time?

ScholarIQpublication output · 2009–2025

Output grew0% over the shown period — from 1 works in 2009 to 1 in 2025.

1
1
1
1
4
2
1
1
2
1
2009201620172018201920202021202220232025

What are the most-cited papers on Topic Modeling?

ScholarIQmost cited works
TinyBERT: Distilling BERT for Natural Language Understanding
Xiaoqi Jiao, Yichun Yin, Lifeng Shang, Xin Jiang, Xiao Dong Chen, Linlin Li, Fang Wang, Qun Liu
20201,674 CitationsOPEN ACCESS
Toward expert-level medical question answering with large language models
K. K. Singhal, Tao Tu, Juraj Gottweis, Rory Sayres, Ellery Wulczyn, Mohamed Amin, Le Hou, Kevin Clark, Stephen Pfohl, Heather Cole-Lewis, Darlene Neal, Qazi Mamunur Rashid, Mike Schaekermann, Amy Wang, Dev Dash, Jonathan H. Chen, Nigam H. Shah, Sami Lachgar, P. Mansfield, Sushant Prakash, Bradley Green, Ewa Dominowska, Blaise Agüera y Arcas, Nenad Tomašev, Yun Liu, Renee Wong, Christopher Semturs, S. Sara Mahdavi, Joëlle Barral, Dale R. Webster, Greg S. Corrado, Yossi Matias, Shekoofeh Azizi, Alan Karthikesalingam, Vivek Natarajan
Nature Medicine. 2025815 CitationsOPEN ACCESS
CTRL: A Conditional Transformer Language Model for Controllable Generation
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher
arXiv (Cornell University). 2019791 CitationsOPEN ACCESS
LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention
Ikuya Yamada, Akari Asai, Hiroyuki Shindo, Hideaki Takeda, Yūji Matsumoto
2020571 CitationsOPEN ACCESS
Incorporating domain knowledge into topic modeling via Dirichlet Forest priors
David Andrzejewski, Xiaojin Zhu, Mark Craven
2009431 CitationsOPEN ACCESS

Where is Topic Modeling research published, and who funds it?

ScholarIQvenues & funding sources

TOP JOURNALS

S4210191458427
S27339233350
S4210237610312

TOP FUNDERS

National Science Foundation
NIH
Wellcome Trust
European Research Council
Funder breakdown is a member featureSign up free to unlock

How much of the research on Topic Modeling is open access?

ScholarIQopen access share
87%OPEN ACCESS
Gold
53%
Green
20%
Hybrid
13%
Bronze
0%
Closed
13%

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