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Lyb3b at SemEval-2018 Task 12: Ensemble-based Deep Learning Models for Argument Reasoning Comprehension Task

Yongbin Li, Xiaobing Zhou
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
with attention model for processing word vector.  ...  In this task, given a natural language argument with a reason and a claim, the goal is to choose the correct implicit reasoning from two options, in order to form a reasonable structure of (Reason, Warrant  ...  This paper is based on the argument reasoning comprehension task proposed by (Habernal et al., 2018) , which proposed a complex, yet scalable crowdsourcing process, and created a new freely licensed dataset  ... 
doi:10.18653/v1/s18-1193 dblp:conf/semeval/LiZ18a fatcat:wogcwefbcfewrfvqklamzce26e

SemEval-2018 Task 12: The Argument Reasoning Comprehension Task

Ivan Habernal, Henning Wachsmuth, Iryna Gurevych, Benno Stein
2018 Proceedings of The 12th International Workshop on Semantic Evaluation  
This paper summarizes the first shared task on argument reasoning comprehension.  ...  The warrant explaining the reasoning is usually left implicit, as it is clear from the context and common sense. This makes a comprehension of arguments easy for humans but hard for machines.  ...  Conclusion This paper has overviewed the first shared task on argument reasoning comprehension, one of the tasks at SemEval-2018.  ... 
doi:10.18653/v1/s18-1121 dblp:conf/semeval/HabernalWGS18 fatcat:u77vd6i36bgwxhqe5k7u7llkia