A Hybrid Neural Network Model for Commonsense Reasoning

This paper proposes a hybrid neural network (HNN) model for commonsense reasoning. An HNN consists of two component models, a masked language model and a semantic similarity model, which share a BERT-based contextual encoder but use different model-specific input and output layers... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Natural Language Understanding PDP60 HNN Accuracy 90 # 1
Natural Language Understanding Wisconsin Sleep Cohort (WSC) HNN Accuracy 75.1 # 1
Natural Language Understanding WNLI HNN Accuracy 83.6 # 1

Methods used in the Paper


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