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+ ```
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+ @inproceedings{wang-etal-2019-make,
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+ title = "Does it Make Sense? And Why? A Pilot Study for Sense Making and Explanation",
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+ author = "Wang, Cunxiang and
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+ Liang, Shuailong and
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+ Zhang, Yue and
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+ Li, Xiaonan and
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+ Gao, Tian",
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+ booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
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+ month = jul,
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+ year = "2019",
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+ address = "Florence, Italy",
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+ publisher = "Association for Computational Linguistics",
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+ url = "https://www.aclweb.org/anthology/P19-1393",
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+ pages = "4020--4026",
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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 the sense-making capability. Existing benchmarks measure common sense knowledge indirectly or without reasoning. 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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+ }
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+ ```