How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG
Machine Learning
2021-09-27 v2 Artificial Intelligence
Computation and Language
Machine Learning
Abstract
Recent studies have significantly improved the state-of-the-art on common-sense reasoning (CSR) benchmarks like the Winograd Schema Challenge (WSC) and SWAG. The question we ask in this paper is whether improved performance on these benchmarks represents genuine progress towards common-sense-enabled systems. We make case studies of both benchmarks and design protocols that clarify and qualify the results of previous work by analyzing threats to the validity of previous experimental designs. Our protocols account for several properties prevalent in common-sense benchmarks including size limitations, structural regularities, and variable instance difficulty.
Keywords
Cite
@article{arxiv.1811.01778,
title = {How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG},
author = {Paul Trichelair and Ali Emami and Adam Trischler and Kaheer Suleman and Jackie Chi Kit Cheung},
journal= {arXiv preprint arXiv:1811.01778},
year = {2021}
}
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7 pages