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. 1803.11138
  4. Cited By
Colorless green recurrent networks dream hierarchically

Colorless green recurrent networks dream hierarchically

29 March 2018
Kristina Gulordava
Piotr Bojanowski
Edouard Grave
Tal Linzen
Marco Baroni
ArXivPDFHTML

Papers citing "Colorless green recurrent networks dream hierarchically"

12 / 12 papers shown
Title
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
What Goes Into a LM Acceptability Judgment? Rethinking the Impact of Frequency and Length
Lindia Tjuatja
Graham Neubig
Tal Linzen
Sophie Hao
68
2
0
04 Nov 2024
Visualisation and 'diagnostic classifiers' reveal how recurrent and
  recursive neural networks process hierarchical structure
Visualisation and 'diagnostic classifiers' reveal how recurrent and recursive neural networks process hierarchical structure
Dieuwke Hupkes
Sara Veldhoen
Willem H. Zuidema
69
277
0
28 Nov 2017
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Exploring the Syntactic Abilities of RNNs with Multi-task Learning
Émile Enguehard
Yoav Goldberg
Tal Linzen
51
28
0
12 Jun 2017
What do Neural Machine Translation Models Learn about Morphology?
What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
Nadir Durrani
Fahim Dalvi
Hassan Sajjad
James R. Glass
98
414
0
11 Apr 2017
N-gram Language Modeling using Recurrent Neural Network Estimation
N-gram Language Modeling using Recurrent Neural Network Estimation
Ciprian Chelba
Mohammad Norouzi
Samy Bengio
45
46
0
31 Mar 2017
How Grammatical is Character-level Neural Machine Translation? Assessing
  MT Quality with Contrastive Translation Pairs
How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs
Rico Sennrich
82
166
0
14 Dec 2016
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
Emmanuel Dupoux
Yoav Goldberg
101
903
0
04 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
887
6,787
0
26 Sep 2016
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction
  Tasks
Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
Yossi Adi
Einat Kermany
Yonatan Belinkov
Ofer Lavi
Yoav Goldberg
59
545
0
15 Aug 2016
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
James Cross
Liang Huang
60
86
0
21 Jun 2016
Dependency Parsing as Head Selection
Dependency Parsing as Head Selection
Xingxing Zhang
Jianpeng Cheng
Mirella Lapata
48
95
0
03 Jun 2016
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature
  Representations
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
E. Kiperwasser
Yoav Goldberg
71
666
0
14 Mar 2016
1