LaSTUS/TALN at HAHA: Humor Analysis based on Human Annotation

Abstract

In this paper we describe the participation of LaSTUS/TALN team in the shared task:“Humor Analysis based on Human Annotation” (HAHA) at the Spanish Society for Natural Language Processing (SEPLN) organized in the context of IberLEF 2019. HAHA onjective is the classification of tweets in Spanish as humorous or not, also identifying the level of funniness. This paper presents a multi-task learning approach based on bidirectional long short-term memory (biLSTM) models. The paper presents and discusses the official results achieved by our team