ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2004.05067
  4. Cited By
Overestimation of Syntactic Representationin Neural Language Models

Overestimation of Syntactic Representationin Neural Language Models

Annual Meeting of the Association for Computational Linguistics (ACL), 2020
10 April 2020
Jordan Kodner
Nitish Gupta
ArXiv (abs)PDFHTML

Papers citing "Overestimation of Syntactic Representationin Neural Language Models"

6 / 6 papers shown
Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi
  (2023)
Why Linguistics Will Thrive in the 21st Century: A Reply to Piantadosi (2023)
Jordan Kodner
Sarah Payne
Jeffrey Heinz
LRM
271
17
0
06 Aug 2023
Towards Unsupervised Content Disentanglement in Sentence Representations
  via Syntactic Roles
Towards Unsupervised Content Disentanglement in Sentence Representations via Syntactic Roles
G. Felhi
Joseph Le Roux
Djamé Seddah
DRL
214
6
0
22 Jun 2022
Exploiting Inductive Bias in Transformers for Unsupervised
  Disentanglement of Syntax and Semantics with VAEs
Exploiting Inductive Bias in Transformers for Unsupervised Disentanglement of Syntax and Semantics with VAEsNorth American Chapter of the Association for Computational Linguistics (NAACL), 2022
G. Felhi
Joseph Le Roux
Djamé Seddah
DRL
281
3
0
12 May 2022
Structural Persistence in Language Models: Priming as a Window into
  Abstract Language Representations
Structural Persistence in Language Models: Priming as a Window into Abstract Language Representations
Arabella J. Sinclair
Jaap Jumelet
Willem H. Zuidema
Raquel Fernández
360
52
0
30 Sep 2021
Disentangling semantics in language through VAEs and a certain
  architectural choice
Disentangling semantics in language through VAEs and a certain architectural choice
G. Felhi
Joseph Le Roux
Djamé Seddah
CoGeDRL
182
1
0
24 Dec 2020
Discourse structure interacts with reference but not syntax in neural
  language models
Discourse structure interacts with reference but not syntax in neural language modelsConference on Computational Natural Language Learning (CoNLL), 2020
Forrest Davis
Marten van Schijndel
221
24
0
10 Oct 2020
1
Page 1 of 1