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Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!

30 April 2020

Papers citing "Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!"

23 / 23 papers shown

Title
Tell, Don't Show: Leveraging Language Models' Abstractive Retellings to Model Literary Themes L. Lucy Camilla Griffiths Sarah Levine Jennifer L. Eberhardt Dorottya Demszky David Bamman 53 0 0 29 May 2025
Bridging the Evaluation Gap: Leveraging Large Language Models for Topic Model Evaluation Zhiyin Tan Jennifer D'Souza ELM 133 0 0 11 Feb 2025
Tethering Broken Themes: Aligning Neural Topic Models with Labels and Authors Mayank Nagda Phil Ostheimer Sophie Fellenz 499 0 0 22 Oct 2024
CAST: Corpus-Aware Self-similarity Enhanced Topic modelling Yanan Ma Chenghao Xiao Chenhan Yuan Sabine N van der Veer Lamiece Hassan Chenghua Lin Goran Nenadic 104 0 0 19 Oct 2024
NeuroMax: Enhancing Neural Topic Modeling via Maximizing Mutual Information and Group Topic Regularization Duy-Tung Pham Thien Trang Nguyen Vu T. Nguyen Linh Ngo Van Duc Anh Nguyen Thien Huu Nguyen 74 5 0 29 Sep 2024
LLM Reading Tea Leaves: Automatically Evaluating Topic Models with Large Language Models Xiaohao Yang He Zhao Dinh Q. Phung Wray Buntine Lan Du ALM ELM 168 2 0 13 Jun 2024
Semi-automated extraction of research topics and trends from NCI funding in radiological sciences from 2000-2020 M. Nguyen P. Beidler Joseph Tsai August Anderson Daniel Chen Paul Kinahan John Kang 26 0 0 22 Jun 2023
Topics in Contextualised Attention Embeddings Mozhgan Talebpour A. G. S. D. Herrera Shoaib Jameel 59 2 0 11 Jan 2023
Human in the loop: How to effectively create coherent topics by manually labeling only a few documents per class Anton Thielmann Christoph Weisser Benjamin Säfken 56 3 0 19 Dec 2022
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts Yu Zhang Yunyi Zhang Martin Michalski Yucheng Jiang Yu Meng Jiawei Han 104 19 0 12 Dec 2022
Moving beyond word lists: towards abstractive topic labels for human-like topics of scientific documents Domenic Rosati 53 0 0 28 Oct 2022
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media Chan Young Park Julia Mendelsohn Anjalie Field Yulia Tsvetkov AAML 46 28 0 24 May 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds Yu Zhang Yu Meng Xuan Wang Sheng Wang Jiawei Han 151 13 0 04 May 2022
Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics Zihan Zhang Meng Fang Ling-Hao Chen Mohammad-Reza Namazi-Rad 53 70 0 21 Apr 2022
BERTopic: Neural topic modeling with a class-based TF-IDF procedure M. Grootendorst 171 1,510 0 11 Mar 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations Yu Meng Yunyi Zhang Jiaxin Huang Yu Zhang Jiawei Han 103 58 0 09 Feb 2022
Analysis and Prediction of NLP Models Via Task Embeddings Damien Sileo Marie-Francine Moens 55 4 0 10 Dec 2021
Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP Trapit Bansal K. Gunasekaran Tong Wang Tsendsuren Munkhdalai Andrew McCallum SSL OOD 96 20 0 02 Nov 2021
Deep Transfer Learning & Beyond: Transformer Language Models in Information Systems Research Ross Gruetzemacher D. Paradice 78 35 0 18 Oct 2021
Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words Valentin Hofmann J. Pierrehumbert Hinrich Schütze 112 72 0 02 Jan 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling Madhur Panwar Shashank Shailabh Milan Aggarwal Balaji Krishnamurthy 64 27 0 02 Dec 2020
Dynamic Contextualized Word Embeddings Valentin Hofmann J. Pierrehumbert Hinrich Schütze 110 52 0 23 Oct 2020
Topic Modeling with Contextualized Word Representation Clusters Laure Thompson David M. Mimno 149 86 0 23 Oct 2020