69 citations · 87 across the 6 of their papers we have counts for
7 papers
Estimating Causal Effects of Tone in Online Debates
Dhanya Sridhar, Lise Getoor
Statistical methods applied to social media posts shed light on the dynamics of online dialogue. For example, users' wording choices predict their persuasiveness and users adopt th…
Using Noisy Extractions to Discover Causal Knowledge
Dhanya Sridhar, Jay Pujara, Lise Getoor
Knowledge bases (KB) constructed through information extraction from text play an important role in query answering and reasoning. In this work, we study a particular reasoning tas…
A Collective, Probabilistic Approach to Schema Mapping: Appendix
Angelika Kimmig, Alex Memory, Renee J. Miller +1
In this appendix we provide additional supplementary material to "A Collective, Probabilistic Approach to Schema Mapping." We include an additional extended example, supplementary…
Generic Statistical Relational Entity Resolution in Knowledge Graphs
Jay Pujara, Lise Getoor
Entity resolution, the problem of identifying the underlying entity of references found in data, has been researched for many decades in many communities. A common theme in this re…
Adaptive Neighborhood Graph Construction for Inference in Multi-Relational Networks
Shobeir Fakhraei, Dhanya Sridhar, Jay Pujara +1
A neighborhood graph, which represents the instances as vertices and their relations as weighted edges, is the basis of many semi-supervised and relational models for node labeling…
Utility Elicitation as a Classification Problem
Urszula Chajewska, Lise Getoor, Joseph Norman +1
We investigate the application of classification techniques to utility elicitation. In a decision problem, two sets of parameters must generally be elicited: the probabilities and…