Probabilistic Topic Modelling with Transformer Representations

6 March 2024

Papers citing "Probabilistic Topic Modelling with Transformer Representations"

21 / 21 papers shown

Title
Text Embeddings by Weakly-Supervised Contrastive Pre-training Liang Wang Nan Yang Xiaolong Huang Binxing Jiao Linjun Yang Daxin Jiang Rangan Majumder Furu Wei VLM 231 598 0 07 Dec 2022
MTEB: Massive Text Embedding Benchmark Niklas Muennighoff Nouamane Tazi L. Magne Nils Reimers 508 398 0 13 Oct 2022
BERTopic: Neural topic modeling with a class-based TF-IDF procedure M. Grootendorst 144 1,474 0 11 Mar 2022
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence Alexander Miserlis Hoyle Pranav Goel Denis Peskov Andrew Hian-Cheong Jordan L. Boyd-Graber Philip Resnik 125 131 0 05 Jul 2021
Top2Vec: Distributed Representations of Topics D. Angelov 73 347 0 19 Aug 2020
A Gamma-Poisson Mixture Topic Model for Short Text Jocelyn Mazarura A. D. Waal J. D. Villiers 11 7 0 23 Apr 2020
Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation Nils Reimers Iryna Gurevych 97 1,023 0 21 Apr 2020
MPNet: Masked and Permuted Pre-training for Language Understanding Kaitao Song Xu Tan Tao Qin Jianfeng Lu Tie-Yan Liu 102 1,116 0 20 Apr 2020
Cross-lingual Contextualized Topic Models with Zero-shot Learning Federico Bianchi Silvia Terragni Dirk Hovy Debora Nozza Elisabetta Fersini BDL 155 150 0 16 Apr 2020
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence Federico Bianchi Silvia Terragni Dirk Hovy AI4TS 83 295 0 08 Apr 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 493 42,407 0 03 Dec 2019
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 1.3K 12,193 0 27 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 612 24,431 0 26 Jul 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 175 643 0 08 Jul 2019
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction Leland McInnes John Healy James Melville 157 9,413 0 09 Feb 2018
Autoencoding Variational Inference For Topic Models Akash Srivastava Charles Sutton BDL DRL 150 565 0 04 Mar 2017
An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation Jey Han Lau Timothy Baldwin 129 652 0 19 Jul 2016
Empirical Evaluation of Rectified Activations in Convolutional Network Bing Xu Naiyan Wang Tianqi Chen Mu Li 133 2,910 0 05 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,289 0 11 Feb 2015
Distributed Representations of Words and Phrases and their Compositionality Tomas Mikolov Ilya Sutskever Kai Chen G. Corrado J. Dean NAI OCL 392 33,521 0 16 Oct 2013
Practical Bayesian Optimization of Machine Learning Algorithms Jasper Snoek Hugo Larochelle Ryan P. Adams 353 7,936 0 13 Jun 2012