%0 Conference Proceedings
%T ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
%A González, José-Ángel
%A Hurtado, Lluís-F.
%A Segarra, Encarna
%A Pla, Ferran
%Y Apidianaki, Marianna
%Y Mohammad, Saif M.
%Y May, Jonathan
%Y Shutova, Ekaterina
%Y Bethard, Steven
%Y Carpuat, Marine
%S Proceedings of the 12th International Workshop on Semantic Evaluation
%D 2018
%8 June
%I Association for Computational Linguistics
%C New Orleans, Louisiana
%F gonzalez-etal-2018-elirf-upv-semeval
%X 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.
%R 10.18653/v1/S18-1172
%U https://aclanthology.org/S18-1172
%U https://doi.org/10.18653/v1/S18-1172
%P 1034-1037