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. 1903.08237
  4. Cited By
When redundancy is useful: A Bayesian approach to óverinformative'
  referring expressions

When redundancy is useful: A Bayesian approach to óverinformative' referring expressions

19 March 2019
Judith Degen
Robert D. Hawkins
Caroline Graf
Elisa Kreiss
Noah D. Goodman
ArXivPDFHTML

Papers citing "When redundancy is useful: A Bayesian approach to óverinformative' referring expressions"

4 / 4 papers shown
Title
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,729
0
11 Oct 2018
An Incremental Iterated Response Model of Pragmatics
An Incremental Iterated Response Model of Pragmatics
Reuben Cohn-Gordon
Noah D. Goodman
Christopher Potts
ReLM
LRM
34
39
0
30 Sep 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
204
11,546
0
15 Feb 2018
Fitting Linear Mixed-Effects Models using lme4
Fitting Linear Mixed-Effects Models using lme4
D. Bates
M. Machler
B. Bolker
Steven C. Walker
KELM
60
71,719
0
23 Jun 2014
1