ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2108.11992
  4. Cited By
Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive
  Text Summarization

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

26 August 2021
Chujie Zheng
Kunpeng Zhang
Harry J. Wang
Ling Fan
Zhe Wang
ArXivPDFHTML

Papers citing "Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization"

3 / 3 papers shown
Title
Robustness Gym: Unifying the NLP Evaluation Landscape
Robustness Gym: Unifying the NLP Evaluation Landscape
Karan Goel
Nazneen Rajani
Jesse Vig
Samson Tan
Jason M. Wu
Stephan Zheng
Caiming Xiong
Mohit Bansal
Christopher Ré
AAML
OffRL
OOD
148
136
0
13 Jan 2021
Text Summarization with Pretrained Encoders
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,431
0
22 Aug 2019
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
1