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Exploiting Syntactic Structure for Better Language Modeling: A Syntactic
  Distance Approach

Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach

12 May 2020
Wenyu Du
Zhouhan Lin
Yikang Shen
Timothy J. O'Donnell
Yoshua Bengio
Yue Zhang
ArXivPDFHTML

Papers citing "Exploiting Syntactic Structure for Better Language Modeling: A Syntactic Distance Approach"

4 / 4 papers shown
Title
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
19
5
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 VAEs
G. Felhi
Joseph Le Roux
Djamé Seddah
DRL
26
2
0
12 May 2022
Dependency-based Mixture Language Models
Dependency-based Mixture Language Models
Zhixian Yang
Xiaojun Wan
46
2
0
19 Mar 2022
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
271
5,329
0
05 Nov 2016
1