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. 1609.03663
  4. Cited By
An Experimental Study of LSTM Encoder-Decoder Model for Text
  Simplification

An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification

13 September 2016
Tong Wang
Ping Chen
K. Amaral
Jipeng Qiang
ArXivPDFHTML

Papers citing "An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification"

3 / 3 papers shown
Title
Scope resolution of predicted negation cues: A two-step neural
  network-based approach
Scope resolution of predicted negation cues: A two-step neural network-based approach
D. D. Jong
18
0
0
15 Sep 2021
Delhi air quality prediction using LSTM deep learning models with a
  focus on COVID-19 lockdown
Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown
A. Tiwari
Rishabh Gupta
Rohitash Chandra
24
30
0
21 Feb 2021
Evaluating prose style transfer with the Bible
Evaluating prose style transfer with the Bible
Keith Carlson
A. Riddell
D. Rockmore
30
53
0
13 Nov 2017
1