ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention

Wenjie Liu, Chengjie Sun, Lei Lin, Bingquan Liu

Abstract
Reasoning is a very important topic and has many important applications in the field of natural language processing. Semantic Evaluation (SemEval) 2018 Task 12 “The Argument Reasoning Comprehension” committed to research natural language reasoning. In this task, we proposed a novel argument reasoning comprehension system, ITNLP-ARC, which use Neural Networks technology to solve this problem. In our system, the LSTM model is involved to encode both the premise sentences and the warrant sentences. The attention model is used to merge the two premise sentence vectors. Through comparing the similarity between the attention vector and each of the two warrant vectors, we choose the one with higher similarity as our system’s final answer.
Anthology ID:
S18-1183
Volume:
Proceedings of the 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venues:
SemEval | *SEM
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1089–1093
Language:
URL:
https://aclanthology.org/S18-1183
DOI:
10.18653/v1/S18-1183
Bibkey:
Cite (ACL):
Wenjie Liu, Chengjie Sun, Lei Lin, and Bingquan Liu. 2018. ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention. In Proceedings of the 12th International Workshop on Semantic Evaluation, pages 1089–1093, New Orleans, Louisiana. Association for Computational Linguistics.
Cite (Informal):
ITNLP-ARC at SemEval-2018 Task 12: Argument Reasoning Comprehension with Attention (Liu et al., SemEval-*SEM 2018)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingestion-script-update/S18-1183.pdf
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