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Computer Science > Computation and Language

arXiv:2007.00236 (cs)
[Submitted on 1 Jul 2020 (v1), last revised 3 Aug 2020 (this version, v2)]

Title:SemEval-2020 Task 4: Commonsense Validation and Explanation

Authors:Cunxiang Wang, Shuailong Liang, Yili Jin, Yilong Wang, Xiaodan Zhu, Yue Zhang
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Abstract:In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation (ComVE), which includes three subtasks, aiming to evaluate whether a system can distinguish a natural language statement that makes sense to humans from one that does not, and provide the reasons. Specifically, in our first subtask, the participating systems are required to choose from two natural language statements of similar wording the one that makes sense and the one does not. The second subtask additionally asks a system to select the key reason from three options why a given statement does not make sense. In the third subtask, a participating system needs to generate the reason. We finally attracted 39 teams participating at least one of the three subtasks. For Subtask A and Subtask B, the performances of top-ranked systems are close to that of humans. However, for Subtask C, there is still a relatively large gap between systems and human performance. The dataset used in our task can be found at this https URL Task4-Commonsense-Validation-and-Explanation; The leaderboard can be found at this https URL.
Comments: Task description paper of SemEval-2020 Task 4: Commonsense Validation and Explanation
Subjects: Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
Cite as: arXiv:2007.00236 [cs.CL]
  (or arXiv:2007.00236v2 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2007.00236

Submission history

From: Cunxiang Wang [view email]
[v1] Wed, 1 Jul 2020 04:41:05 UTC (448 KB)
[v2] Mon, 3 Aug 2020 15:13:40 UTC (453 KB)
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