10 citations · 10 across the 8 of their papers we have counts for
9 papers
A Property Induction Framework for Neural Language Models
Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger
To what extent can experience from language contribute to our conceptual knowledge? Computational explorations of this question have shed light on the ability of powerful neural la…
On Information Hiding in Natural Language Systems
Geetanjali Bihani, Julia Taylor Rayz
With data privacy becoming more of a necessity than a luxury in today's digital world, research on more robust models of privacy preservation and information security is on the ris…
Do language models learn typicality judgments from text?
Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz
Building on research arguing for the possibility of conceptual and categorical knowledge acquisition through statistics contained in language, we evaluate predictive language model…
Low Anisotropy Sense Retrofitting (LASeR) : Towards Isotropic and Sense Enriched Representations
Geetanjali Bihani, Julia Taylor Rayz
Contextual word representation models have shown massive improvements on a multitude of NLP tasks, yet their word sense disambiguation capabilities remain poorly explained. To addr…
Fuzzy Classification of Multi-intent Utterances
Geetanjali Bihani, Julia Taylor Rayz
Current intent classification approaches assign binary intent class memberships to natural language utterances while disregarding the inherent vagueness in language and the corresp…
Finding Fuzziness in Neural Network Models of Language Processing
Kanishka Misra, Julia Taylor Rayz
Humans often communicate by using imprecise language, suggesting that fuzzy concepts with unclear boundaries are prevalent in language use. In this paper, we test the extent to whi…