Abstract
We introduce the SV000gg systems: two Ensemble Methods for the Complex Word Identification task of SemEval 2016. While the SV000gg-Hard system exploits basic Hard Voting, the SV000gg-Soft system employs Performance-Oriented Soft Voting, which weights votes according to the voter's performance rather than its prediction confidence, allowing for completely heterogeneous systems to be combined. Our performance comparison shows that our voting techniques outperform traditional Soft Voting, as well as other systems submitted to the shared task, ranking first and second overall.
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CITATION STYLE
Paetzold, G. H., & Specia, L. (2016). SV000gg at SemEval-2016 task 11: Heavy gauge complex word identification with system voting. In SemEval 2016 - 10th International Workshop on Semantic Evaluation, Proceedings (pp. 969–974). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s16-1149
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