ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
2018-06-01SEMEVAL 2018Unverified0· sign in to hype
Jos{\'e}-{\'A}ngel Gonz{\'a}lez, Llu{\'\i}s-F. Hurtado, Encarna Segarra, Ferran Pla
Unverified — Be the first to reproduce this paper.
ReproduceAbstract
This paper describes the participation of ELiRF-UPV team at task 11, Machine Comprehension using Commonsense Knowledge, of SemEval-2018. Our approach is based on the use of word embeddings, NumberBatch Embeddings, and a Deep Learning architecture to find the best answer for the multiple-choice questions based on the narrative text. The results obtained are in line with those obtained by the other participants and they encourage us to continue working on this problem.