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20212026
most citedA Property Induction Framework for Neural Language Models

10 citations · 12 across the 18 of their papers we have counts for

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7 papers · 1 filter

cs.CL2021★ 1 cited

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021

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…

cs.CL2021

Modeling Fuzzy Cluster Transitions for Topic Tracing

Xiaonan Jing, Yi Zhang, Qingyuan Hu +1

Twitter can be viewed as a data source for Natural Language Processing (NLP) tasks. The continuously updating data streams on Twitter make it challenging to trace real-time topic e…

cs.CL2021

Tracing Topic Transitions with Temporal Graph Clusters

Xiaonan Jing, Qingyuan Hu, Yi Zhang +1

Twitter serves as a data source for many Natural Language Processing (NLP) tasks. It can be challenging to identify topics on Twitter due to continuous updating data stream. In thi…

cs.CL2021

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…