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04/30/2023
Calibration Error Estimation Using Fuzzy Binning
Neural network-based decisions tend to be overconfident, where their raw...
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10/05/2022
COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models
A characteristic feature of human semantic memory is its ability to not ...
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05/13/2022
A Property Induction Framework for Neural Language Models
To what extent can experience from language contribute to our conceptual...
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03/12/2022
On Information Hiding in Natural Language Systems
With data privacy becoming more of a necessity than a luxury in today's ...
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09/22/2021
Towards The Automatic Coding of Medical Transcripts to Improve Patient-Centered Communication
This paper aims to provide an approach for automatic coding of physician...
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05/06/2021
Do language models learn typicality judgments from text?
Building on research arguing for the possibility of conceptual and categ...
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04/22/2021
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
Contextual word representation models have shown massive improvements on...
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04/22/2021
Fuzzy Classification of Multi-intent Utterances
Current intent classification approaches assign binary intent class memb...
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04/22/2021
Finding Fuzziness in Neural Network Models of Language Processing
Humans often communicate by using imprecise language, suggesting that fu...
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04/16/2021
Modeling Fuzzy Cluster Transitions for Topic Tracing
Twitter can be viewed as a data source for Natural Language Processing (...
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04/16/2021
Tracing Topic Transitions with Temporal Graph Clusters
Twitter serves as a data source for many Natural Language Processing (NL...
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01/08/2021
Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification
Graph structures are powerful tools for modeling the relationships betwe...
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01/08/2021
Misspelling Correction with Pre-trained Contextual Language Model
Spelling irregularities, known now as spelling mistakes, have been found...
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12/14/2020
Model Choices Influence Attributive Word Associations: A Semi-supervised Analysis of Static Word Embeddings
Static word embeddings encode word associations, extensively utilized in...
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10/06/2020
Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming
Models trained to estimate word probabilities in context have become ubi...
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04/02/2018
