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A Neural Model of Adaptation in Reading

A Neural Model of Adaptation in Reading

29 August 2018
Marten van Schijndel
Tal Linzen
ArXivPDFHTML

Papers citing "A Neural Model of Adaptation in Reading"

23 / 23 papers shown
Title
Investigating Idiomaticity in Word Representations
Investigating Idiomaticity in Word Representations
Wei He
Tiago Kramer Vieira
Marcos García
Carolina Scarton
M. Idiart
Aline Villavicencio
48
1
0
04 Nov 2024
Do Language Models Exhibit Human-like Structural Priming Effects?
Do Language Models Exhibit Human-like Structural Priming Effects?
Jaap Jumelet
Willem H. Zuidema
Arabella J. Sinclair
46
5
0
07 Jun 2024
Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer
  Architectures for Cross-Language Structural Priming
Modeling Bilingual Sentence Processing: Evaluating RNN and Transformer Architectures for Cross-Language Structural Priming
Bushi Xiao
Chao Gao
Demi Zhang
25
2
0
15 May 2024
Does Dependency Locality Predict Non-canonical Word Order in Hindi?
Does Dependency Locality Predict Non-canonical Word Order in Hindi?
Sidharth Ranjan
Marten van Schijndel
24
2
0
13 May 2024
Can training neural language models on a curriculum with developmentally
  plausible data improve alignment with human reading behavior?
Can training neural language models on a curriculum with developmentally plausible data improve alignment with human reading behavior?
Aryaman Chobey
Oliver Smith
Anzi Wang
Grusha Prasad
43
5
0
30 Nov 2023
Modeling rapid language learning by distilling Bayesian priors into
  artificial neural networks
Modeling rapid language learning by distilling Bayesian priors into artificial neural networks
R. Thomas McCoy
Thomas Griffiths
BDL
42
14
0
24 May 2023
Language model acceptability judgements are not always robust to context
Language model acceptability judgements are not always robust to context
Koustuv Sinha
Jon Gauthier
Aaron Mueller
Kanishka Misra
Keren Fuentes
R. Levy
Adina Williams
23
18
0
18 Dec 2022
On the Effect of Anticipation on Reading Times
On the Effect of Anticipation on Reading Times
Tiago Pimentel
Clara Meister
Ethan Gotlieb Wilcox
R. Levy
Ryan Cotterell
45
18
0
25 Nov 2022
Discourse Context Predictability Effects in Hindi Word Order
Discourse Context Predictability Effects in Hindi Word Order
Sidharth Ranjan
Marten van Schijndel
Sumeet Agarwal
Rajakrishnan Rajkumar
35
2
0
25 Oct 2022
Dual Mechanism Priming Effects in Hindi Word Order
Dual Mechanism Priming Effects in Hindi Word Order
Sidharth Ranjan
Marten van Schijndel
Sumeet Agarwal
Rajakrishnan Rajkumar
31
2
0
25 Oct 2022
Construction Repetition Reduces Information Rate in Dialogue
Construction Repetition Reduces Information Rate in Dialogue
Mario Giulianelli
Arabella J. Sinclair
Raquel Fernández
29
7
0
15 Oct 2022
A Property Induction Framework for Neural Language Models
A Property Induction Framework for Neural Language Models
Kanishka Misra
Julia Taylor Rayz
Allyson Ettinger
34
12
0
13 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
61
38
0
30 Sep 2021
Modeling Human Sentence Processing with Left-Corner Recurrent Neural
  Network Grammars
Modeling Human Sentence Processing with Left-Corner Recurrent Neural Network Grammars
Ryo Yoshida
Hiroshi Noji
Yohei Oseki
34
8
0
10 Sep 2021
Language Model Evaluation Beyond Perplexity
Language Model Evaluation Beyond Perplexity
Clara Meister
Ryan Cotterell
30
73
0
31 May 2021
From partners to populations: A hierarchical Bayesian account of
  coordination and convention
From partners to populations: A hierarchical Bayesian account of coordination and convention
Robert D. Hawkins
Michael Franke
Michael C. Frank
Adele E. Goldberg
Kenny Smith
Thomas Griffiths
Noah D. Goodman
26
55
0
12 Apr 2021
Structural Supervision Improves Few-Shot Learning and Syntactic
  Generalization in Neural Language Models
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
Ethan Gotlieb Wilcox
Peng Qian
Richard Futrell
Ryosuke Kohita
R. Levy
Miguel Ballesteros
NAI
15
10
0
12 Oct 2020
Overestimation of Syntactic Representationin Neural Language Models
Overestimation of Syntactic Representationin Neural Language Models
Jordan Kodner
Nitish Gupta
26
12
0
10 Apr 2020
Continual adaptation for efficient machine communication
Continual adaptation for efficient machine communication
Robert D. Hawkins
Minae Kwon
Dorsa Sadigh
Noah D. Goodman
CLL
27
33
0
22 Nov 2019
Using Priming to Uncover the Organization of Syntactic Representations
  in Neural Language Models
Using Priming to Uncover the Organization of Syntactic Representations in Neural Language Models
Grusha Prasad
Marten van Schijndel
Tal Linzen
40
51
0
23 Sep 2019
Neural Language Models as Psycholinguistic Subjects: Representations of
  Syntactic State
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
Richard Futrell
Ethan Gotlieb Wilcox
Takashi Morita
Peng Qian
Miguel Ballesteros
R. Levy
MILM
42
191
0
08 Mar 2019
What can linguistics and deep learning contribute to each other?
What can linguistics and deep learning contribute to each other?
Tal Linzen
21
40
0
11 Sep 2018
The Natural Stories Corpus
The Natural Stories Corpus
Richard Futrell
E. Gibson
Harry J. Tily
I. Blank
Anastasia Vishnevetsky
S. Piantadosi
Evelina Fedorenko
6
107
0
18 Aug 2017
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