138 citations · 243 across the 8 of their papers we have counts for
5 papers · 1 filter
Computationally Assisted Quality Control for Public Health Data Streams
Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld +1
Irregularities in public health data streams (like COVID-19 Cases) hamper data-driven decision-making for public health stakeholders. A real-time, computer-generated list of the mo…
Conversational Neuro-Symbolic Commonsense Reasoning
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki +3
In order for conversational AI systems to hold more natural and broad-ranging conversations, they will require much more commonsense, including the ability to identify unstated pre…
TensorLog: Deep Learning Meets Probabilistic DBs
William W. Cohen, Fan Yang, Kathryn Rivard Mazaitis
We present an implementation of a probabilistic first-order logic called TensorLog, in which classes of logical queries are compiled into differentiable functions in a neural-netwo…
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic
William Yang Wang, Kathryn Mazaitis, Ni Lao +2
One important challenge for probabilistic logics is reasoning with very large knowledge bases (KBs) of imperfect information, such as those produced by modern web-scale information…
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic
William Yang Wang, Kathryn Mazaitis, William W. Cohen
In many probabilistic first-order representation systems, inference is performed by "grounding"---i.e., mapping it to a propositional representation, and then performing propositio…