CommonGen | A Constrained Text Generation Challenge for Generative Commonsense Reasoning

By CommonGen | USC/ISI - 2020-10-13

Description

Authors: Bill Yuchen Lin, Wangchunshu Zhou, Ming Shen, Pei Zhou, Chandra Bhagavatula, Yejin Choi and Xiang Ren

Summary

  • Building machines with commonsense to compose realistically plausible sentences is challenging.
  • CommonGen is a constrained text generation task, associated with a benchmark dataset, to explicitly test machines for the ability of generative commonsense reasoning.
  • We can see that for this particular real example in our dataset, we need know a list of facts and find the best composition of them for writing the sentence “A woman in a gym exercises by waving ropes tied to a wall.” The model has never seen the concept pear in the training, or the combinations of any two of them.

 

Topics

  1. Management (0.13)
  2. NLP (0.12)
  3. Machine_Learning (0.06)

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