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Common Sense

  1. KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning [EMNNLP 2019] Bill Yuchen Lin, Xinyue Chen, Jamin Chen, Xiang Ren.
    • Pre-trained model have latent ability in common sense task.
    • using GCN -> find best path -> LSTM -> Hierarchical Path-base Attention
    • concate the pertained representation.
  2. How Large Are Lions? Inducing Distributions over Quantitative Attributes [ACL 2019] Yanai Elazar, Abhijit Mahabal, Deepak Ramachandran, Tania Bedrax-Weiss, Dan Roth.
    • Rule-base Quantitative Detection, but good than SOTA.