Relational Learning With Expert Advice
Document Type
Paper
Publication Date
2015
Published In
Text Analysis Conference Workshop
Abstract
The introduction of the paper, in lieu of an abstract: We present the Wisconsin-Indiana system for the TAC KBP 2015 slot filling task. The proposed approach is a three-staged pipeline. The first stage consists of converting the raw text to a large set of rich relational features (we employ first-order logic for representing the underlying text). During the second stage, weak supervised examples are generated using expert human advice that form weak annotations for the text. In the final stage, the relational features and weak labels are provided as input to an efficient learning system [3] that learns a Relational Dependency Network [6] from the given data.
Conference
Text Analysis Conference Workshop (TAC 2015)
Conference Dates
November 16-17, 2015
Conference Location
Gaithersburg, MD
Recommended Citation
D. Viswanathan, A. Wazalwar, Ameet Soni, J. W. Shavlik, and S. Natarajan.
(2015).
"Relational Learning With Expert Advice".
Text Analysis Conference Workshop.
https://works.swarthmore.edu/fac-comp-sci/49