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arXiv · 1906.00363

Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation

Cunxiang Wang·Shuailong Liang·Yue Zhang·Xiaonan Li·Tian Gao
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Abstract

Introducing common sense to natural language understanding systems has received increasing research attention. It remains a fundamental question on how to evaluate whether a system has a sense making capability. Existing benchmarks measures commonsense knowledge indirectly and without explanation. In this paper, we release a benchmark to directly test whether a system can differentiate natural language statements that make sense from those that do not make sense. In addition, a system is asked to identify the most crucial reason why a statement does not make sense. We evaluate models trained over large-scale language modeling tasks as well as human performance, showing that there are different challenges for system sense making.

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Cunxiang Wang, Shuailong Liang, Yue Zhang, Xiaonan Li, Tian Gao. 2019-06-02. Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation. https://arxiv.org/abs/1906.00363

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