Kathryn Mazaitis

23 papers A* 7A 2Journal 12Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Computationally Assisted Quality Control for Public Health Data Streams. IJCAI Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder
2023	J	`jnl`	Computationally Assisted Quality Control for Public Health Data Streams. CoRR Ananya Joshi, Kathryn Mazaitis, Roni Rosenfeld, Bryan Wilder
2021	A*	`conf`	Conversational Neuro-Symbolic Commonsense Reasoning. AAAI Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
2020	J	`jnl`	Conversational Neuro-Symbolic Commonsense Reasoning. CoRR Forough Arabshahi, Jennifer Lee, Mikayla Gawarecki, Kathryn Mazaitis, Amos Azaria, Tom M. Mitchell
2020	J	`jnl`	TensorLog: A Probabilistic Database Implemented Using Deep-Learning Infrastructure. J. Artif. Intell. Res. William W. Cohen, Fan Yang, Kathryn Mazaitis
2018	J	`jnl`	Never-ending learning. Commun. ACM 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
2018	A*	`conf`	Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. EMNLP Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
2018	J	`jnl`	Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text. CoRR Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, William W. Cohen
2017	A*	`conf`	Bootstrapping Distantly Supervised IE Using Joint Learning and Small Well-Structured Corpora. AAAI Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
2017	—	`conf`	Explainable Entity-based Recommendations with Knowledge Graphs. RecSys Posters Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen
2017	J	`jnl`	Explainable Entity-based Recommendations with Knowledge Graphs. CoRR Rose Catherine, Kathryn Mazaitis, Maxine Eskénazi, William W. Cohen
2017	J	`jnl`	Quasar: Datasets for Question Answering by Search and Reading. CoRR Bhuwan Dhingra, Kathryn Mazaitis, William W. Cohen
2017	J	`jnl`	TensorLog: Deep Learning Meets Probabilistic DBs. CoRR William W. Cohen, Fan Yang, Kathryn Mazaitis
2016	J	`jnl`	Bootstrapping Distantly Supervised IE using Joint Learning and Small Well-structured Corpora. CoRR Lidong Bing, Bhuwan Dhingra, Kathryn Mazaitis, Jong Hyuk Park, William W. Cohen
2015	A*	`conf`	A Soft Version of Predicate Invention Based on Structured Sparsity. IJCAI William Yang Wang, Kathryn Mazaitis, William W. Cohen
2015	J	`jnl`	Efficient inference and learning in a large knowledge base - Reasoning with extracted information using a locally groundable first-order probabilistic logic. Mach. Learn. William Yang Wang, Kathryn Mazaitis, Ni Lao, William W. Cohen
2015	A*	`conf`	Never-Ending Learning. AAAI 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
2014	A*	`conf`	Dependency Parsing for Weibo: An Efficient Probabilistic Logic Programming Approach. EMNLP William Yang Wang, Lingpeng Kong, Kathryn Mazaitis, William W. Cohen
2014	J	`jnl`	Efficient Inference and Learning in a Large Knowledge Base: Reasoning with Extracted Information using a Locally Groundable First-Order Probabilistic Logic. CoRR William Yang Wang, Kathryn Mazaitis, Ni Lao, Tom M. Mitchell, William W. Cohen
2014	—	`conf`	ProPPR: Efficient First-Order Probabilistic Logic Programming for Structure Discovery, Parameter Learning, and Scalable Inference. StarAI@AAAI William Yang Wang, Kathryn Mazaitis, William W. Cohen
2014	A	`conf`	Structure Learning via Parameter Learning. CIKM William Yang Wang, Kathryn Mazaitis, William W. Cohen
2013	J	`jnl`	Programming with Personalized PageRank: A Locally Groundable First-Order Probabilistic Logic CoRR William Yang Wang, Kathryn Mazaitis, William W. Cohen
2013	A	`conf`	Programming with personalized pagerank: a locally groundable first-order probabilistic logic. CIKM William Yang Wang, Kathryn Mazaitis, William W. Cohen