TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Ana Brassard, Tin Kuculo, Filip Boltu{\v{z}}i{\'c}, Jan {\v{S}}najder
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This paper describes our system for the SemEval-2018 Task 12: Argument Reasoning Comprehension Task. We utilize skip-thought vectors, sentence-level distributional vectors inspired by the popular word embeddings and the skip-gram model. We encode preprocessed sentences from the dataset into vectors, then perform a binary supervised classification of the warrant that justifies the use of the reason as support for the claim. We explore a few variations of the model, reaching 54.1\% accuracy on the test set, which placed us 16th out of 22 teams participating in the task.