MITRE at SemEval-2018 Task 11: Commonsense Reasoning without Commonsense Knowledge

Elizabeth Merkhofer, John Henderson, David Bloom, Laura Strickhart, Guido Zarrella


Abstract
This paper describes MITRE’s participation in SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge. The techniques explored range from simple bag-of-ngrams classifiers to neural architectures with varied attention and alignment mechanisms. Logistic regression ties the systems together into an ensemble submitted for evaluation. The resulting system answers reading comprehension questions with 82.27% accuracy.
Anthology ID:
S18-1181
Volume:
Proceedings of The 12th International Workshop on Semantic Evaluation
Month:
June
Year:
2018
Address:
New Orleans, Louisiana
Venue:
*SEMEVAL
SIGs:
SIGLEX | SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
1078–1082
Language:
URL:
https://www.aclweb.org/anthology/S18-1181
DOI:
10.18653/v1/S18-1181
Bib Export formats:
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PDF:
http://aclanthology.lst.uni-saarland.de/S18-1181.pdf