research
∙
04/30/2023
Calibration Error Estimation Using Fuzzy Binning
Neural network-based decisions tend to be overconfident, where their raw...
share
research
∙
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 ...
research
∙
05/13/2022
A Property Induction Framework for Neural Language Models
To what extent can experience from language contribute to our conceptual...
research
∙
03/12/2022
On Information Hiding in Natural Language Systems
With data privacy becoming more of a necessity than a luxury in today's ...
research
∙
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...
research
∙
05/06/2021
Do language models learn typicality judgments from text?
Building on research arguing for the possibility of conceptual and categ...
research
∙
04/22/2021
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
Contextual word representation models have shown massive improvements on...
research
∙
04/22/2021
Fuzzy Classification of Multi-intent Utterances
Current intent classification approaches assign binary intent class memb...
research
∙
04/22/2021
Finding Fuzziness in Neural Network Models of Language Processing
Humans often communicate by using imprecise language, suggesting that fu...
research
∙
04/16/2021
Modeling Fuzzy Cluster Transitions for Topic Tracing
Twitter can be viewed as a data source for Natural Language Processing (...
research
∙
04/16/2021
Tracing Topic Transitions with Temporal Graph Clusters
Twitter serves as a data source for many Natural Language Processing (NL...
research
∙
01/08/2021
Graph-of-Tweets: A Graph Merging Approach to Sub-event Identification
Graph structures are powerful tools for modeling the relationships betwe...
research
∙
01/08/2021
Misspelling Correction with Pre-trained Contextual Language Model
Spelling irregularities, known now as spelling mistakes, have been found...
research
∙
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...
research
∙
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...
research
∙
04/02/2018