Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles (2016)
We propose stacking with auxiliary features(SWAF) that combines supervised and unsupervised methods to ensemble multiple sys-tems for the Tri-lingual Entity Discovery andLinking (TEDL) 2016 evaluation. We use theTEDL 2015 systems for training and EDL12016 systems for evaluating our algorithm.We perform a post-processing step on the out-puts obtained from the classifier so as to ag-gregate into one final system.
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In Proceedings of the Ninth Text Analysis Conference (TAC 2016) 2016.
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Raymond J. Mooney Faculty mooney [at] cs utexas edu
Nazneen Rajani Ph.D. Student nrajani [at] cs utexas edu