talks

invited talks

  • E+D Product Leads Conference: Microsoft (Virtual)
    • Addressing Bias in Datasets and Models
    • Nov 2, 2020
    • Slides
  • Rising Stars in EECS: University of Illinois, Urbana-Champaign.
    • Biases and Learning Challenges in Natural Language Processing
    • Oct 30, 2019
  • Colloquium: Department of Linguistics, University of Washington
    • Sprucing up a Dataset: Adversarially Filtering Dataset Artifacts
    • Oct 18, 2019
    • Slides
  • AI2 Seminar: Allen Institute for AI
    • Learning Challenges in Natural Language Processing
    • Apr 8, 2019
    • Slides
  • Stanford NLP Seminar: Stanford University
    • Learning Challenges in Natural Language Processing
    • Apr 4, 2019
  • JHUCLSP Seminar: Johns Hopkins University, Baltimore
    • Learning Challenges in Natural Language Processing
    • Mar 13, 2019
  • CILVR Seminar New York University, New York
    • Learning Challenges in Natural Language Processing
    • Mar 11, 2019
  • Seminar, Microsoft Research, Redmond
    • Learning Challenges in Natural Language Processing
    • Jan 22, 2019
  • AI Breakthroughs Workshop, Microsoft Research, Redmond
    • Representation Learning with Linguistic Structure
    • Sep 15, 2018
    • Slides
  • NorthWest NLP: Microsoft Research, Redmond
    • Syntactic Scaffolds for Semantic Structures
    • Apr 27, 2018