Kathryn Mazaitis

According to our database, Kathryn Mazaitis authored at least 17 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Computationally Assisted Quality Control for Public Health Data Streams.

Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2021

Conversational Neuro-Symbolic Commonsense Reasoning.

Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure.

William W. Cohen, Fan Yang, Kathryn Mazaitis

J. Artif. Intell. Res., 2020

2018

Never-ending learning.

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

Commun. ACM, 2018

Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text.

Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Quasar: Datasets for Question Answering by Search and Reading.

Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen

CoRR, 2017

TensorLog: Deep Learning Meets Probabilistic DBs.

William W. Cohen, Fan Yang, Kathryn Mazaitis

CoRR, 2017

Explainable Entity-based Recommendations with Knowledge Graphs.

Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora.

Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015

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, William W. Cohen

Mach. Learn., 2015

A Soft Version of Predicate Invention Based on Structured Sparsity.

William Yang Wang, Kathryn Mazaitis, William W. Cohen

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Never-Ending Learning.

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

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

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, Tom M. Mitchell, William W. Cohen

CoRR, 2014

Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach.

William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Structure Learning via Parameter Learning.

William Yang Wang, Kathryn Mazaitis, William W. Cohen

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference.

William Yang Wang, Kathryn Mazaitis, William W. Cohen

Proceedings of the Statistical Relational Artificial Intelligence, 2014

2013

Programming with personalized pagerank: a locally groundable first-order probabilistic logic.

William Yang Wang, Kathryn Mazaitis, William W. Cohen

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013