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Nonparametric Spherical Topic Modeling with Word Embeddings

Nonparametric Spherical Topic Modeling with Word Embeddings

1 April 2016
N. Batmanghelich
A. Saeedi
Karthik Narasimhan
S. Gershman
ArXiv (abs)PDFHTML

Papers citing "Nonparametric Spherical Topic Modeling with Word Embeddings"

29 / 29 papers shown
Title
Variational Language Concepts for Interpreting Foundation Language
  Models
Variational Language Concepts for Interpreting Foundation Language Models
Hengyi Wang
Shiwei Tan
Zhiqing Hong
Desheng Zhang
Hao Wang
144
3
0
04 Oct 2024
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
KDSTM: Neural Semi-supervised Topic Modeling with Knowledge Distillation
Weijie Xu
Xiaoyu Jiang
Jay Desai
Bin Han
Fuqin Yan
Francis Iannacci
BDL
78
3
0
04 Jul 2023
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders
Modeling Barrett's Esophagus Progression using Geometric Variational Autoencoders
Vivien van Veldhuizen
Sharvaree P. Vadgama
Onno J. de Boer
Sybren Meijer
Erik Bekkers
DRL
68
0
0
17 Mar 2023
Effective Seed-Guided Topic Discovery by Integrating Multiple Types of
  Contexts
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
Generalised Spherical Text Embedding
Generalised Spherical Text Embedding
Souvik Banerjee
Bamdev Mishra
Pratik Jawanpuria
Manish Shrivastava
35
1
0
30 Nov 2022
No Pattern, No Recognition: a Survey about Reproducibility and
  Distortion Issues of Text Clustering and Topic Modeling
No Pattern, No Recognition: a Survey about Reproducibility and Distortion Issues of Text Clustering and Topic Modeling
Marília Costa Rosendo Silva
Felipe Siqueira
João Pedro M. Tarrega
João Vitor P. Beinotti
Augusto Sousa Nunes
M. Gardini
Vinicius Silva
Nádia Félix Felipe da Silva
A. C. P. L. F. D. Carvalho
48
2
0
02 Aug 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
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
Text Transformations in Contrastive Self-Supervised Learning: A Review
Text Transformations in Contrastive Self-Supervised Learning: A Review
Amrita Bhattacharjee
Mansooreh Karami
Huan Liu
SSL
108
23
0
22 Mar 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model
  Representations
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
Modelling Monotonic and Non-Monotonic Attribute Dependencies with
  Embeddings: A Theoretical Analysis
Modelling Monotonic and Non-Monotonic Attribute Dependencies with Embeddings: A Theoretical Analysis
Steven Schockaert
44
2
0
28 Jun 2021
Connecting Sphere Manifolds Hierarchically for Regularization
Connecting Sphere Manifolds Hierarchically for Regularization
Damien Scieur
Youngsung Kim
3DH
37
3
0
25 Jun 2021
A Discrete Variational Recurrent Topic Model without the
  Reparametrization Trick
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick
Mehdi Rezaee
Francis Ferraro
BDLDRL
52
28
0
22 Oct 2020
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding
Yu Meng
Yunyi Zhang
Jiaxin Huang
Yu Zhang
Chao Zhang
Jiawei Han
92
68
0
18 Jul 2020
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for
  Fast and Good Topics too!
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too!
Suzanna Sia
Ayush Dalmia
Sabrina J. Mielke
130
157
0
30 Apr 2020
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents
An Unsupervised Semantic Sentence Ranking Scheme for Text Documents
Hao Zhang
Jie Wang
62
10
0
28 Apr 2020
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy
  Back
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back
Takahiro Yoshida
Ryohei Hisano
T. Ohnishi
79
7
0
25 Feb 2020
Modelling Semantic Categories using Conceptual Neighborhood
Modelling Semantic Categories using Conceptual Neighborhood
Zied Bouraoui
Jose Camacho-Collados
Luis Espinosa-Anke
Steven Schockaert
36
10
0
03 Dec 2019
Mixed-curvature Variational Autoencoders
Mixed-curvature Variational Autoencoders
Ondrej Skopek
O. Ganea
Gary Bécigneul
CMLDRLBDL
76
102
0
19 Nov 2019
Spherical Text Embedding
Spherical Text Embedding
Yu Meng
Jiaxin Huang
Guangyuan Wang
Chao Zhang
Honglei Zhuang
Lance M. Kaplan
Jiawei Han
RALM
60
118
0
04 Nov 2019
Discriminative Topic Mining via Category-Name Guided Text Embedding
Discriminative Topic Mining via Category-Name Guided Text Embedding
Yu Meng
Jiaxin Huang
Guangyuan Wang
Zihan Wang
Chao Zhang
Yu Zhang
Jiawei Han
81
75
0
20 Aug 2019
The Dynamic Embedded Topic Model
The Dynamic Embedded Topic Model
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
BDL
68
87
0
12 Jul 2019
Topic Modeling in Embedding Spaces
Topic Modeling in Embedding Spaces
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
BDL
201
647
0
08 Jul 2019
Nested Variational Autoencoder for Topic Modeling on Microtexts with
  Word Vectors
Nested Variational Autoencoder for Topic Modeling on Microtexts with Word Vectors
Trung Trinh
Tho Quan
Trung Mai
BDL
67
2
0
01 May 2019
Mixing syntagmatic and paradigmatic information for concept detection
Mixing syntagmatic and paradigmatic information for concept detection
L. Chartrand
Mohamed Bouguessa
20
2
0
09 Apr 2019
dpUGC: Learn Differentially Private Representation for User Generated
  Contents
dpUGC: Learn Differentially Private Representation for User Generated Contents
Xuan-Son Vu
Son N. Tran
Lili Jiang
50
14
0
25 Mar 2019
ETNLP: a visual-aided systematic approach to select pre-trained
  embeddings for a downstream task
ETNLP: a visual-aided systematic approach to select pre-trained embeddings for a downstream task
Xuan-Son Vu
Thanh Tien Vu
Son N. Tran
Lili Jiang
51
6
0
11 Mar 2019
Uncovering divergent linguistic information in word embeddings with
  lessons for intrinsic and extrinsic evaluation
Uncovering divergent linguistic information in word embeddings with lessons for intrinsic and extrinsic evaluation
Mikel Artetxe
Gorka Labaka
I. Lopez-Gazpio
Eneko Agirre
83
41
0
06 Sep 2018
Weakly-Supervised Neural Text Classification
Weakly-Supervised Neural Text Classification
Yu Meng
Jiaming Shen
Chao Zhang
Jiawei Han
106
188
0
02 Sep 2018
Efficient Correlated Topic Modeling with Topic Embedding
Efficient Correlated Topic Modeling with Topic Embedding
Junxian He
Zhiting Hu
Taylor Berg-Kirkpatrick
Ying Huang
Eric Xing
62
48
0
01 Jul 2017
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