SemEval 2019 Task 6
Related Papers
JCTICOL at SemEval-2019 Task 6: Classifying Offensive Language in Social Media using Deep Learning Methods, Word/Character N-gram Features, and Preprocessing Methods
AbstractIn this paper, we describe our submissions to SemEval-2019 task 6 contest. We tackled all three sub-tasks in this task “OffensEval - Identifying and Categorizing Offensive Language in Social Media”. …...
NLPR@SRPOL at SemEval-2019 Task 6 and Task 5: Linguistically enhanced deep learning offensive sentence classifier
AbstractThe paper presents a system developed for the SemEval-2019 competition Task 5 hat- Eval Basile et al. (2019) (team name: LU Team) and Task 6 OffensEval Zampieri et al. (2019b) …...
Pardeep at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Social Media using Deep Learning
AbstractThe rise of social media has made information exchange faster and easier among the people. However, in recent times, the use of offensive language has seen an upsurge in social …...
The Titans at SemEval-2019 Task 6: Offensive Language Identification, Categorization and Target Identification
AbstractThis system paper is a description of the system submitted to “SemEval-2019 Task 6”, where we had to detect offensive language in Twitter. There were two specific target audiences, immigrants …...
USF at SemEval-2019 Task 6: Offensive Language Detection Using LSTM With Word Embeddings
AbstractIn this paper, we present a system description for the SemEval-2019 Task 6 submitted by our team. For the task, our system takes tweet as an input and determine if …...