Topic Modeling in Embedding Spaces

8 July 2019

Papers citing "Topic Modeling in Embedding Spaces"

24 / 174 papers shown

Title
Fine-tuning Encoders for Improved Monolingual and Zero-shot Polylingual Neural Topic Modeling Aaron Mueller Mark Dredze 19 13 0 11 Apr 2021
An Embedding-based Joint Sentiment-Topic Model for Short Texts Ayan Sengupta William Scott Paka S. Roy G. Ranjan Tanmoy Chakraborty BDL 15 2 0 26 Mar 2021
Topic Modelling Meets Deep Neural Networks: A Survey He Zhao Dinh Q. Phung Viet Huynh Yuan Jin Lan Du Wray L. Buntine BDL 8 136 0 28 Feb 2021
Modeling Financial Products and their Supply Chains M. Bjarnadóttir L. Raschid 8 0 0 03 Feb 2021
Event-Driven News Stream Clustering using Entity-Aware Contextual Embeddings Kailash Saravanakumar Miguel Ballesteros Muthu Kumar Chandrasekaran Kathleen McKeown 24 20 0 26 Jan 2021
Structural Text Segmentation of Legal Documents Dennis Aumiller Satya Almasian S. Lackner Michael Gertz AILaw 8 28 0 07 Dec 2020
TAN-NTM: Topic Attention Networks for Neural Topic Modeling Madhur Panwar Shashank Shailabh Milan Aggarwal Balaji Krishnamurthy 15 24 0 02 Dec 2020
Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles M. Altuncu S. Yaliraki Mauricio Barahona 6 9 0 28 Oct 2020
Topic Modeling with Contextualized Word Representation Clusters Laure Thompson David M. Mimno 112 83 0 23 Oct 2020
Improving Neural Topic Models using Knowledge Distillation Alexander Miserlis Hoyle Pranav Goel Philip Resnik 16 47 0 05 Oct 2020
Zero-Shot Clinical Acronym Expansion via Latent Meaning Cells Griffin Adams Mert Ketenci Shreyas Bhave A. Perotte Noémie Elhadad BDL 12 0 0 29 Sep 2020
VisualSem: A High-quality Knowledge Graph for Vision and Language Houda Alberts Teresa Huang Y. Deshpande Yibo Liu Kyunghyun Cho Clara Vania Iacer Calixto VLM 19 45 0 20 Aug 2020
Hierarchical Topic Mining via Joint Spherical Tree and Text Embedding Yu Meng Yunyi Zhang Jiaxin Huang Yu Zhang Chao Zhang Jiawei Han 53 67 0 18 Jul 2020
Supervised Understanding of Word Embeddings H. Yerebakan Parmeet S. Bhatia Y. Shinagawa SSL 12 0 0 23 Jun 2020
P-SIF: Document Embeddings Using Partition Averaging Vivek Gupta A. Saw Pegah Nokhiz Praneeth Netrapalli Piyush Rai Partha P. Talukdar 8 25 0 18 May 2020
Tired of Topic Models? Clusters of Pretrained Word Embeddings Make for Fast and Good Topics too! Suzanna Sia Ayush Dalmia Sabrina J. Mielke 6 150 0 30 Apr 2020
Cross-lingual Contextualized Topic Models with Zero-shot Learning Federico Bianchi Silvia Terragni Dirk Hovy Debora Nozza Elisabetta Fersini BDL 32 144 0 16 Apr 2020
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence Federico Bianchi Silvia Terragni Dirk Hovy AI4TS 26 283 0 08 Apr 2020
Gaussian Hierarchical Latent Dirichlet Allocation: Bringing Polysemy Back Takahiro Yoshida Ryohei Hisano T. Ohnishi 37 6 0 25 Feb 2020
Improving Document Classification with Multi-Sense Embeddings Vivek Gupta A. Saw Pegah Nokhiz Harshit Gupta Partha P. Talukdar 13 15 0 18 Nov 2019
Neural Embedding Allocation: Distributed Representations of Topic Models Kamrun Naher Keya Yannis Papanikolaou James R. Foulds BDL 19 5 0 10 Sep 2019
Discriminative Topic Mining via Category-Name Guided Text Embedding Yu Meng Jiaxin Huang Guangyuan Wang Zihan Wang Chao Zhang Yu Zhang Jiawei Han 33 73 0 20 Aug 2019
The Dynamic Embedded Topic Model Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 23 87 0 12 Jul 2019
Sparse Parallel Training of Hierarchical Dirichlet Process Topic Models Alexander Terenin Maans Magnusson Leif Jonsson MoE 15 1 0 06 Jun 2019