Specializations

  • Natural Language Processing
  • AI Ethics
  • Machine Learning

Biography

Robert Wolfe is a Ph.D. Student at the Information School studying machine representations of semantics in language and multimodal domains.

Education

  • MS, Computer Science, The George Washington University, 2021
  • MA, English Literature, Georgetown University, 2014
  • BA, English Literature, University of Maryland, 2012

Memberships

  • Association for Computational Linguistics
  • Association for Computing Machinery

Publications and Contributions

  • Conference Paper
    Contrastive Visual Semantic Pretraining Magnifies the Semantics of Natural Language Representations (2022)
    60th Annual Meeting of the Association for Computational Linguistics (ACL), 2022 Authors: Aylin Caliskan, Robert Wolfe
  • Conference Paper
    Detecting Emerging Associations and Behaviors With Regional and Diachronic Word Embeddings (2022)
    IEEE International Conference on Semantic Computing Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    Detecting Emerging Associations and Behaviors with Regional and Diachronic Word Embeddings (2022)
    2022 IEEE 16th International Conference on Semantic Computing (ICSC) Authors: Aylin Caliskan, Robert Wolfe
  • Conference Paper
    VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models (2022)
    AAAI Conference on Artificial Intelligence Authors: Robert Wolfe, Aylin Caliskan
  • Conference Paper
    VAST: The Valence-Assessing Semantics Test for Contextualizing Language Models (2022)
    Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022) Authors: Aylin Caliskan, Robert Wolfe
  • Conference Paper
    Low Frequency Names Exhibit Bias and Overfitting in Contextualizing Language Models (2021)
    Empirical Methods in Natural Language Processing (EMNLP) Authors: Robert Wolfe , Aylin Caliskan