The goal here is not to build an ensemble of DNNs to surpass current classification state of the art results, but instead to test our hypothesis to determine if machine RPs can fit IRT models that can benefit NLP tasks.
we trained 1000 LSTM models for NLI classification using the SNLI data set and 1000 LSTM models for binary SA classification using the SSTB data set (Bowman et al., 2015;Socher et al., 2013).