Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension
March 01, 2018 ยท Entered Twilight ยท ๐ International Workshop on Semantic Evaluation
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Repo contents: .gitignore, LICENSE, README.md, data, download.sh, image, run.sh, src
Authors
Liang Wang, Meng Sun, Wei Zhao, Kewei Shen, Jingming Liu
arXiv ID
1803.00191
Category
cs.CL: Computation & Language
Citations
77
Venue
International Workshop on Semantic Evaluation
Repository
https://github.com/intfloat/commonsense-rc
โญ 119
Last Checked
1 month ago
Abstract
This paper describes our system for SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge. We use Three-way Attentive Networks (TriAN) to model interactions between the passage, question and answers. To incorporate commonsense knowledge, we augment the input with relation embedding from the graph of general knowledge ConceptNet (Speer et al., 2017). As a result, our system achieves state-of-the-art performance with 83.95% accuracy on the official test data. Code is publicly available at https://github.com/intfloat/commonsense-rc
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