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Deep Recurrent Generative Decoder for Abstractive Text Summarization

Deep Recurrent Generative Decoder for Abstractive Text Summarization

2 August 2017
Piji Li
Wai Lam
Lidong Bing
Zihao Wang
    BDL
    DRL
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Papers citing "Deep Recurrent Generative Decoder for Abstractive Text Summarization"

27 / 27 papers shown
Title
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
Hanlei Jin
Yang Zhang
Dan Meng
Jun Wang
Jinghua Tan
68
81
0
05 Mar 2024
Variational Connectionist Temporal Classification for Order-Preserving
  Sequence Modeling
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling
Zheng Nan
T. Dang
V. Sethu
Beena Ahmed
BDL
27
2
0
21 Sep 2023
Large Language Models are Not Yet Human-Level Evaluators for Abstractive
  Summarization
Large Language Models are Not Yet Human-Level Evaluators for Abstractive Summarization
Chenhui Shen
Liying Cheng
Xuan-Phi Nguyen
Yang You
Lidong Bing
ELM
ALM
52
64
0
22 May 2023
Brand Celebrity Matching Model Based on Natural Language Processing
Brand Celebrity Matching Model Based on Natural Language Processing
Han Yang
Kejian Yang
Erhan Zhang
36
1
0
18 Aug 2022
Data-to-text Generation with Variational Sequential Planning
Data-to-text Generation with Variational Sequential Planning
Ratish Puduppully
Yao Fu
Mirella Lapata
61
21
0
28 Feb 2022
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text
  Generation and Classification
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
Bo Pang
Ying Nian Wu
24
18
0
26 Aug 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries
A New Approach to Overgenerating and Scoring Abstractive Summaries
Kaiqiang Song
Bingqing Wang
Z. Feng
Fei Liu
22
17
0
05 Apr 2021
SongNet: Rigid Formats Controlled Text Generation
SongNet: Rigid Formats Controlled Text Generation
Piji Li
Haisong Zhang
Xiaojiang Liu
Shuming Shi
27
53
0
17 Apr 2020
Variational Transformers for Diverse Response Generation
Variational Transformers for Diverse Response Generation
Zhaojiang Lin
Genta Indra Winata
Peng Xu
Zihan Liu
Pascale Fung
DRL
24
51
0
28 Mar 2020
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving
  Adversarial Text Generation
Meta-CoTGAN: A Meta Cooperative Training Paradigm for Improving Adversarial Text Generation
Haiyan Yin
Dingcheng Li
Xu Li
P. Li
37
23
0
12 Mar 2020
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Sequential Latent Knowledge Selection for Knowledge-Grounded Dialogue
Byeongchang Kim
Jaewoo Ahn
Gunhee Kim
BDL
44
167
0
18 Feb 2020
Generating Representative Headlines for News Stories
Generating Representative Headlines for News Stories
Xiaotao Gu
Yuning Mao
Jiawei Han
Jialu Liu
Hongkun Yu
You Wu
Cong Yu
Daniel Finnie
Jiaqi Zhai
Nicholas Zukoski
30
70
0
26 Jan 2020
How to Write Summaries with Patterns? Learning towards Abstractive
  Summarization through Prototype Editing
How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing
Shen Gao
Preslav Nakov
Piji Li
Zhangming Chan
Dongyan Zhao
Rui Yan
24
30
0
19 Sep 2019
Controllable Length Control Neural Encoder-Decoder via Reinforcement
  Learning
Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning
Junyi Bian
Baojun Lin
Kecheng Zhang
Zhaohui Yan
H. Tang
Yonghe Zhang
22
5
0
17 Sep 2019
BottleSum: Unsupervised and Self-supervised Sentence Summarization using
  the Information Bottleneck Principle
BottleSum: Unsupervised and Self-supervised Sentence Summarization using the Information Bottleneck Principle
Peter West
Ari Holtzman
Jan Buys
Yejin Choi
SSL
24
58
0
16 Sep 2019
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Scoring Sentence Singletons and Pairs for Abstractive Summarization
Logan Lebanoff
Kaiqiang Song
Franck Dernoncourt
Doo Soon Kim
Seokhwan Kim
W. Chang
Fei Liu
CVBM
30
103
0
31 May 2019
Topic-Guided Variational Autoencoders for Text Generation
Topic-Guided Variational Autoencoders for Text Generation
Wenlin Wang
Zhe Gan
Hongteng Xu
Ruiyi Zhang
Guoyin Wang
Dinghan Shen
Changyou Chen
Lawrence Carin
BDL
35
126
0
17 Mar 2019
Persona-Aware Tips Generation
Persona-Aware Tips Generation
Piji Li
Zihao Wang
Lidong Bing
Wai Lam
20
40
0
06 Mar 2019
Abstractive Summarization of Reddit Posts with Multi-level Memory
  Networks
Abstractive Summarization of Reddit Posts with Multi-level Memory Networks
Byeongchang Kim
Hyunwoo J. Kim
Gunhee Kim
31
182
0
02 Nov 2018
Abstractive and Extractive Text Summarization using Document Context
  Vector and Recurrent Neural Networks
Abstractive and Extractive Text Summarization using Document Context Vector and Recurrent Neural Networks
Chandra Khatri
Gyanit Singh
Nish Parikh
35
60
0
20 Jul 2018
Structure-Infused Copy Mechanisms for Abstractive Summarization
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
Lin Zhao
Fei Liu
36
76
0
14 Jun 2018
Autoencoder as Assistant Supervisor: Improving Text Representation for
  Chinese Social Media Text Summarization
Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Shuming Ma
Xu Sun
Junyang Lin
Houfeng Wang
35
46
0
13 May 2018
Global Encoding for Abstractive Summarization
Global Encoding for Abstractive Summarization
Junyang Lin
Xu Sun
Shuming Ma
Qi Su
21
146
0
10 May 2018
Query and Output: Generating Words by Querying Distributed Word
  Representations for Paraphrase Generation
Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
Shuming Ma
Xu Sun
Wei Li
Sujian Li
Wenjie Li
Xuancheng Ren
31
62
0
05 Mar 2018
Classical Structured Prediction Losses for Sequence to Sequence Learning
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
Myle Ott
Michael Auli
David Grangier
MarcÁurelio Ranzato
AIMat
56
185
0
14 Nov 2017
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
207
1,255
0
14 Nov 2016
Language as a Latent Variable: Discrete Generative Models for Sentence
  Compression
Language as a Latent Variable: Discrete Generative Models for Sentence Compression
Yishu Miao
Phil Blunsom
201
223
0
23 Sep 2016
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