ECNU at SemEval-2018 Task 3: Exploration on Irony Detection from Tweets via Machine Learning and Deep Learning Methods

Zhenghang Yin, Feixiang Wang, Man Lan, Wenting Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper describes our submissions to task 3 in SemEval 2018. There are two subtasks: Subtask A is a binary classification task to determine whether a tweet is ironic, and Subtask B is a fine-grained classification task including four classes. To address them, we explored supervised machine learning method alone and in combination with neural networks.

Original languageEnglish
Title of host publicationNAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop
EditorsMarianna Apidianaki, Marianna Apidianaki, Saif M. Mohammad, Jonathan May, Ekaterina Shutova, Steven Bethard, Marine Carpuat
PublisherAssociation for Computational Linguistics (ACL)
Pages600-606
Number of pages7
ISBN (Electronic)9781948087209
DOIs
StatePublished - 2018
Event12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the - New Orleans, United States
Duration: 5 Jun 20186 Jun 2018

Publication series

NameNAACL HLT 2018 - International Workshop on Semantic Evaluation, SemEval 2018 - Proceedings of the 12th Workshop

Conference

Conference12th International Workshop on Semantic Evaluation, SemEval 2018, co-located with the 16th Annual Conference of the North American Chapter of the
Country/TerritoryUnited States
CityNew Orleans
Period5/06/186/06/18

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