A Simple Machine Learning Method for Commonsense Reasoning? A Short Commentary on Trinh & Le (2018)
It highlights limitations in applying machine learning to commonsense reasoning, which is crucial for advancing AI in natural language processing, but is incremental as it critiques existing work.
This commentary critiques Trinh & Le (2018) by identifying three serious flaws in their data-driven method for commonsense reasoning, arguing that such approaches are inadequate for natural language understanding tasks like reference resolution.
This is a short Commentary on Trinh & Le (2018) ("A Simple Method for Commonsense Reasoning") that outlines three serious flaws in the cited paper and discusses why data-driven approaches cannot be considered as serious models for the commonsense reasoning needed in natural language understanding in general, and in reference resolution, in particular.