TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency

5 November 2016

Papers citing "TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency"

25 / 25 papers shown

Title
Graph-based Retrieval Augmented Generation for Dynamic Few-shot Text Classification Yubo Wang Haoyang Li Fei Teng Lei Chen 91 1 0 17 Feb 2025
Deep Learning-based Sentiment Classification: A Comparative Survey Mohammed Kayed R. Redondo Alhassan Mabrouk 17 42 0 12 Dec 2023
Revisiting Topic-Guided Language Models Carolina Zheng Keyon Vafa David M. Blei BDL 35 1 0 04 Dec 2023
Learning Sequence Representations by Non-local Recurrent Neural Memory Wenjie Pei Xin Feng Canmiao Fu Qi Cao Guangming Lu Yu-Wing Tai AI4TS 27 1 0 20 Jul 2022
Not All Comments are Equal: Insights into Comment Moderation from a Topic-Aware Model Elaine Zosa Ravi Shekhar Mladen Karan Matthew Purver 27 2 0 21 Sep 2021
Focus Attention: Promoting Faithfulness and Diversity in Summarization Rahul Aralikatte Shashi Narayan Joshua Maynez S. Rothe Ryan T. McDonald 35 45 0 25 May 2021
Rationalization through Concepts Diego Antognini Boi Faltings FAtt 27 19 0 11 May 2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling Madhur Panwar Shashank Shailabh Milan Aggarwal Balaji Krishnamurthy 23 24 0 02 Dec 2020
A Discrete Variational Recurrent Topic Model without the Reparametrization Trick Mehdi Rezaee Francis Ferraro BDL DRL 17 27 0 22 Oct 2020
How recurrent networks implement contextual processing in sentiment analysis Niru Maheswaranathan David Sussillo 22 22 0 17 Apr 2020
Non-local Recurrent Neural Memory for Supervised Sequence Modeling Canmiao Fu Wenjie Pei Qiong Cao Chaopeng Zhang Yong Zhao Xiaoyong Shen Yu-Wing Tai 24 11 0 26 Aug 2019
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural Networks Shashi Narayan Shay B. Cohen Mirella Lapata AILaw 29 18 0 19 Jul 2019
Topic-Guided Variational Autoencoders for Text Generation Wenlin Wang Zhe Gan Hongteng Xu Ruiyi Zhang Guoyin Wang Dinghan Shen Changyou Chen Lawrence Carin BDL 27 126 0 17 Mar 2019
Lagging Inference Networks and Posterior Collapse in Variational Autoencoders Junxian He Daniel M. Spokoyny Graham Neubig Taylor Berg-Kirkpatrick BDL DRL 25 272 0 16 Jan 2019
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context Zihang Dai Zhilin Yang Yiming Yang J. Carbonell Quoc V. Le Ruslan Salakhutdinov VLM 38 3,679 0 09 Jan 2019
Mixed Membership Recurrent Neural Networks G. Fazelnia Mark Ibrahim C. Modarres K. Wu John Paisley 116 1 0 23 Dec 2018
textTOvec: Deep Contextualized Neural Autoregressive Topic Models of Language with Distributed Compositional Prior Pankaj Gupta Yatin Chaudhary Florian Buettner Hinrich Schütze BDL 14 18 0 09 Oct 2018
Using the Tsetlin Machine to Learn Human-Interpretable Rules for High-Accuracy Text Categorization with Medical Applications G. T. Berge Ole-Christoffer Granmo Tor Tveit Morten Goodwin Lei Jiao B. Matheussen VLM 33 75 0 12 Sep 2018
Topic Memory Networks for Short Text Classification Jichuan Zeng Jing Li Yan Song Cuiyun Gao Michael R. Lyu Irwin King BDL 16 131 0 11 Sep 2018
Semi-Amortized Variational Autoencoders Yoon Kim Sam Wiseman Andrew C. Miller David Sontag Alexander M. Rush BDL DRL 33 243 0 07 Feb 2018
SenGen: Sentence Generating Neural Variational Topic Model Ramesh Nallapati Igor Melnyk Abhishek Kumar Bowen Zhou BDL DRL 24 12 0 01 Aug 2017
Learned in Translation: Contextualized Word Vectors Bryan McCann James Bradbury Caiming Xiong R. Socher 62 907 0 01 Aug 2017
Discovering Discrete Latent Topics with Neural Variational Inference Yishu Miao Edward Grefenstette Phil Blunsom DRL BDL 16 289 0 01 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 37 82 0 29 May 2017
Learning to Generate Reviews and Discovering Sentiment Alec Radford Rafal Jozefowicz Ilya Sutskever 44 505 0 05 Apr 2017