Year: 2018
Type: conference-paper
Abstract: This paper describes the KLUEnicorn system submitted to the SemEval-2018 task on "Irony detection in English tweets".The proposed system uses a naïve Bayes classifier to exploit rather simple lexical, pragmatic and semantic features as well as sentiment.It further takes a closer look at different adverb categories and named entities and factors in word-embedding information.
DOI: 10.18653/v1/s18-1099
Author: Luise Dürlich
Institution: Friedrich-Alexander-Universität Erlangen-Nürnberg
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W2805332014