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Structured Output Learning with Abstention: Application to Accurate Opinion Prediction
[article]
2018
arXiv
pre-print
Motivated by Supervised Opinion Analysis, we propose a novel framework devoted to Structured Output Learning with Abstention (SOLA). The structure prediction model is able to abstain from predicting some labels in the structured output at a cost chosen by the user in a flexible way. For that purpose, we decompose the problem into the learning of a pair of predictors, one devoted to structured abstention and the other, to structured output prediction. To compare fully labeled training data with
arXiv:1803.08355v2
fatcat:yngxcievebbrvi2mph3esacy4m