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.

@inproceedings{rajani:tac16, title={Stacking With Auxiliary Features for Combining Supervised and Unsupervised Ensembles}, author={Nazneen Fatema Rajani and Raymond J. Mooney}, booktitle={Proceedings of the Ninth Text Analysis Conference (TAC 2016)}, url="http://www.cs.utexas.edu/users/ai-labpub-view.php?PubID=127673", year={2016} }