30 citations · 40 across the 5 of their papers we have counts for
7 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…
minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models
Kanishka Misra
We present minicons, an open source library that provides a standard API for researchers interested in conducting behavioral and representational analyses of transformer-based lang…
On Semantic Cognition, Inductive Generalization, and Language Models
Kanishka Misra
My doctoral research focuses on understanding semantic knowledge in neural network models trained solely to predict natural language (referred to as language models, or LMs), by dr…
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…
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…
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference
Qingyuan Hu, Yi Zhang, Kanishka Misra +1
Natural Language Inference (NLI) or Recognizing Textual Entailment (RTE) is the task of predicting the entailment relation between a pair of sentences (premise and hypothesis). Thi…