2026-04-13T13:28:44Zhttps://recercat.cat/oai/requestoai:recercat.cat:10230/541102025-12-26T11:24:53Zcom_2072_6col_2072_452952
RECERCAT
author
Altin, Lutfiye Seda Mut
author
Bravo Serrano, Àlex, 1984-
author
Saggion, Horacio
2022-09-20T06:02:11Z2022-09-20T06:02:11Z2019
Comunicació presentada a: 13th International Workshop on Semantic Evaluation, NAACL HLT 2019, celebrat del 6 al 7 de juny de 2019, a Minneapolis, Estats Units d'Amèrica.This paper describes a bidirectional LongShort Term Memory network for identifying
offensive language in Twitter. Our system
has been developed in the context of the SemEval 2019 Task 6 which comprises three different sub-tasks, namely A: Offensive Language Detection, B: Categorization of Offensive Language, C: Offensive Language Target
Identification. We used a pre-trained Word
Embeddings in tweet data, including information about emojis and hashtags. Our approach
achieves good performance in the three subtasks.
©2019 Association for Computational Linguistics
Materials are licensed on a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess
Tractament de textos -- Informàtica
LaSTUS/TALN at SemEval-2019 task 6: identification and categorization of offensive language in social media with attention-based Bi-LSTM model
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion