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06/09/2023
Probing self-supervised speech models for phonetic and phonemic information: a case study in aspiration
Textless self-supervised speech models have grown in capabilities in rec...
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06/06/2023
A Cross-Linguistic Pressure for Uniform Information Density in Word Order
While natural languages differ widely in both canonical word order and w...
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05/22/2023
The neural dynamics of auditory word recognition and integration
Listeners recognize and integrate words in rapid and noisy everyday spee...
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05/22/2023
Prompt-based methods may underestimate large language models' linguistic generalizations
Prompting is now a dominant method for evaluating the linguistic knowled...
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04/07/2023
Expectations over Unspoken Alternatives Predict Pragmatic Inferences
Scalar inferences (SI) are a signature example of how humans interpret l...
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12/18/2022
Language model acceptability judgements are not always robust to context
Targeted syntactic evaluations of language models ask whether models sho...
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11/25/2022
On the Effect of Anticipation on Reading Times
Over the past two decades, numerous studies have demonstrated how less p...
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06/30/2022
Towards Human-Agent Communication via the Information Bottleneck Principle
Emergent communication research often focuses on optimizing task-specifi...
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06/01/2022
Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback
Although approximately 50 female physicians tend to be underrepresented ...
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04/20/2022
When Does Syntax Mediate Neural Language Model Performance? Evidence from Dropout Probes
Recent causal probing literature reveals when language models and syntac...
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03/31/2022
Analyzing Wrap-Up Effects through an Information-Theoretic Lens
Numerous analyses of reading time (RT) data have been implemented – all ...
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09/23/2021
Revisiting the Uniform Information Density Hypothesis
The uniform information density (UID) hypothesis posits a preference amo...
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09/22/2021
Controlled Evaluation of Grammatical Knowledge in Mandarin Chinese Language Models
Prior work has shown that structural supervision helps English language ...
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08/12/2021
Scalable pragmatic communication via self-supervision
Models of context-sensitive communication often use the Rational Speech ...
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07/30/2021
Structural Guidance for Transformer Language Models
Transformer-based language models pre-trained on large amounts of text d...
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05/28/2021
What if This Modified That? Syntactic Interventions via Counterfactual Embeddings
Neural language models exhibit impressive performance on a variety of ta...
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04/16/2021
Learning Evolved Combinatorial Symbols with a Neuro-symbolic Generative Model
Humans have the ability to rapidly understand rich combinatorial concept...
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11/04/2020
Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization
Previous studies investigating the syntactic abilities of deep learning ...
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10/12/2020
Structural Supervision Improves Few-Shot Learning and Syntactic Generalization in Neural Language Models
Humans can learn structural properties about a word from minimal experie...
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09/30/2020
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
In this work, we analyze how human gaze during reading comprehension is ...
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06/02/2020
On the Predictive Power of Neural Language Models for Human Real-Time Comprehension Behavior
Human reading behavior is tuned to the statistics of natural language: t...
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04/30/2020
STARC: Structured Annotations for Reading Comprehension
We present STARC (Structured Annotations for Reading Comprehension), a n...
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10/02/2019
Linking artificial and human neural representations of language
What information from an act of sentence understanding is robustly repre...
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09/10/2019
Representation of Constituents in Neural Language Models: Coordination Phrase as a Case Study
Neural language models have achieved state-of-the-art performances on ma...
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06/10/2019
Hierarchical Representation in Neural Language Models: Suppression and Recovery of Expectations
Deep learning sequence models have led to a marked increase in performan...
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05/24/2019
What Syntactic Structures block Dependencies in RNN Language Models?
Recurrent Neural Networks (RNNs) trained on a language modeling task hav...
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05/17/2019
Availability-Based Production Predicts Speakers' Real-time Choices of Mandarin Classifiers
Speakers often face choices as to how to structure their intended messag...
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04/06/2019
Simple dynamic word embeddings for mapping perceptions in the public sphere
Word embeddings trained on large-scale historical corpora can illuminate...
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03/08/2019
Neural Language Models as Psycholinguistic Subjects: Representations of Syntactic State
We deploy the methods of controlled psycholinguistic experimentation to ...
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03/03/2019
Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
State-of-the-art LSTM language models trained on large corpora learn seq...
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10/08/2018
Comparing Models of Associative Meaning: An Empirical Investigation of Reference in Simple Language Games
Simple reference games are of central theoretical and empirical importan...
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09/05/2018
RNNs as psycholinguistic subjects: Syntactic state and grammatical dependency
Recurrent neural networks (RNNs) are the state of the art in sequence mo...
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08/31/2018
What do RNN Language Models Learn about Filler-Gap Dependencies?
RNN language models have achieved state-of-the-art perplexity results an...
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05/14/2018
Word learning and the acquisition of syntactic--semantic overhypotheses
Children learning their first language face multiple problems of inducti...
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04/19/2018
Assessing Language Proficiency from Eye Movements in Reading
We present a novel approach for determining learners' second language pr...
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09/08/2017