YNU\_AI1799 at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge of Different model ensemble

no code implementations • SEMEVAL 2018 • Qingxun Liu, Hongdou Yao, Xaobing Zhou, Ge Xie

In this paper, we describe a machine reading comprehension system that participated in SemEval-2018 Task 11: Machine Comprehension using commonsense knowledge.

Language Modelling Machine Reading Comprehension +2

YNUDLG at IJCNLP-2017 Task 5: A CNN-LSTM Model with Attention for Multi-choice Question Answering in Examinations

no code implementations • IJCNLP 2017 • Min Wang, Qingxun Liu, Peng Ding, Yongbin Li, Xiaobing Zhou

In this paper, we perform convolutional neural networks (CNN) to learn the joint representations of question-answer pairs first, then use the joint representations as the inputs of the long short-term memory (LSTM) with attention to learn the answer sequence of a question for labeling the matching quality of each answer.

Question Answering valid

YNUDLG at SemEval-2017 Task 4: A GRU-SVM Model for Sentiment Classification and Quantification in Twitter

no code implementations • SEMEVAL 2017 • Ming Wang, Biao Chu, Qingxun Liu, Xiaobing Zhou

Sentiment analysis is one of the central issues in Natural Language Processing and has become more and more important in many fields.

General Classification Sentiment Analysis +2