Paper

Commonsense mining as knowledge base completion? A study on the impact\n of novelty

Commonsense knowledge bases such as ConceptNet represent knowledge in the\nform of relational triples. Inspired by the recent work by Li et al., we\nanalyse if knowledge base completion models can be used to mine commonsense\nknowledge from raw text. We propose novelty of predicted triples with respect\nto the training set as an important factor in interpreting results. We\ncritically analyse the difficulty of mining novel commonsense knowledge, and\nshow that a simple baseline method outperforms the previous state of the art on\npredicting more novel.\n

Authors: Jastrzębski, Stanisław · Bahdanau, Dzmitry · Hosseini, Seyedarian · Noukhovitch, Michael · Bengio, Yoshua · Cheung, Jackie Chi Kit

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