Abstract
This paper describes the system we submitted to the Task 11 in SemEval 2018, i.e., Machine Comprehension using Commonsense Knowledge. Given a passage and some questions that each have two candidate answers, this task requires the participate system to select out one answer meet the meaning of original text or commonsense knowledge from the candidate answers. For this task, we use a deep learning method to obtain final predict answer by calculating relevance of choices representations and question-aware document representation.
Cite
CITATION STYLE
Sheng, Y., Lan, M., & Wu, Y. (2018). ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task. In NAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop (pp. 1048–1052). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s18-1175
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