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. 1805.06995
  4. Cited By

Linear-Time Constituency Parsing with RNNs and Dynamic Programming

17 May 2018
Juneki Hong
Liang Huang
ArXivPDFHTML

Papers citing "Linear-Time Constituency Parsing with RNNs and Dynamic Programming"

4 / 4 papers shown
Title
Fast(er) Exact Decoding and Global Training for Transition-Based
  Dependency Parsing via a Minimal Feature Set
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi
Liang Huang
Lillian Lee
79
45
0
30 Aug 2017
A Minimal Span-Based Neural Constituency Parser
A Minimal Span-Based Neural Constituency Parser
Mitchell Stern
Jacob Andreas
Dan Klein
51
196
0
10 May 2017
Recurrent Neural Network Grammars
Recurrent Neural Network Grammars
Chris Dyer
A. Kuncoro
Miguel Ballesteros
Noah A. Smith
GNN
71
524
0
25 Feb 2016
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
378
7,650
0
03 Jul 2012
1