YNU-HPCC at SemEval-2018 Task 3: Ensemble Neural Network Models for Irony Detection on Twitter
Year: 2018
Type: conference-paper
Abstract: This paper describes our proposed to participate in the first year of the irony detection in English tweets competition.Previous works have demonstrated that long short-term memory models have achieved remarkable performance in natural language processing; moreover, combining multiple classifications from various individual classifiers is generally more powerful than a single classification.In order to obtain more precise irony detection classification, our system trains several individual neural network classifiers and combines their results according to the ensemble-learning algorithm.
DOI: 10.18653/v1/s18-1101
Authors: Bo Peng, Jin Wang, Xuejie Zhang
Institution: Yunnan University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2806239564