Kathryn Mazaitis

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 14

Top Topics

Question Answering

Probabilistic Logic

Efficient Inference And Learning

Top Venues

Publications

Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder
Computationally Assisted Quality Control for Public Health Data Streams. CoRR (2023)
Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder
Computationally Assisted Quality Control for Public Health Data Streams. IJCAI (2023)
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
Conversational Neuro-Symbolic Commonsense Reasoning. AAAI (2021)
William W. Cohen, Fan Yang, Kathryn Mazaitis
TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure. J. Artif. Intell. Res. 67 (2020)
Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
Conversational Neuro-Symbolic Commonsense Reasoning. CoRR (2020)
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. EMNLP (2018)
Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha P. Talukdar, Bo Yang, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matt Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
Never-ending learning. Commun. ACM 61 (5) (2018)
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. CoRR (2018)
Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen
Explainable Entity-based Recommendations with Knowledge Graphs. CoRR (2017)
Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. AAAI (2017)
Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen
Explainable Entity-based Recommendations with Knowledge Graphs. RecSys Posters (2017)
Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen
Quasar: Datasets for Question Answering by Search and Reading. CoRR (2017)
William W. Cohen, Fan Yang, Kathryn Mazaitis
TensorLog: Deep Learning Meets Probabilistic DBs. CoRR (2017)
Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora. CoRR (2016)
William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen
Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic. Mach. Learn. 100 (1) (2015)
Tom M. Mitchell, William W. Cohen, Estevam R. Hruschka Jr., Partha Pratim Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi Mishra, Matthew Gardner, Bryan Kisiel, Jayant Krishnamurthy, Ni Lao, Kathryn Mazaitis, Thahir Mohamed, Ndapandula Nakashole, Emmanouil A. Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard C. Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves, Joel Welling
Never-Ending Learning. AAAI (2015)
William Yang Wang, Kathryn Mazaitis, William W. Cohen
A Soft Version of Predicate Invention Based on Structured Sparsity. IJCAI (2015)
William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen
Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. EMNLP (2014)
William Yang Wang, Kathryn Mazaitis, William W. Cohen
Structure Learning via Parameter Learning. CIKM (2014)
William Yang Wang, Kathryn Mazaitis, William W. Cohen
ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. AAAI Workshop: Statistical Relational Artificial Intelligence (2014)
William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen
Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. CoRR (2014)
William Yang Wang, Kathryn Mazaitis, William W. Cohen
Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic CoRR (2013)
William Yang Wang, Kathryn Mazaitis, William W. Cohen
Programming with personalized pagerank: a locally groundable first-order probabilistic logic. CIKM (2013)