A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf
.
Lyb3b at SemEval-2018 Task 11: Machine Comprehension Task using Deep Learning Models
2018
Proceedings of The 12th International Workshop on Semantic Evaluation
Machine Comprehension of text is a typical Natural Language Processing task which remains an elusive challenge. This paper is to solve the task 11 of SemEval-2018, Machine Comprehension using Commonsense Knowledge task. We use deep learning model to solve the problem. We build distributed word embedding of text, question and answering respectively instead of manually extracting features by linguistic tools. Meanwhile, we use a series of frameworks such as CNN model, LSTM model, LSTM with
doi:10.18653/v1/s18-1180
dblp:conf/semeval/LiZ18
fatcat:xsugolwvjrb6ppmdnm7foebjmq