@inproceedings{ramiandrisoa-mothe-2018-irit,
title = "{IRIT} at {TRAC} 2018",
author = "Ramiandrisoa, Faneva and
Mothe, Josiane",
editor = "Kumar, Ritesh and
Ojha, Atul Kr. and
Zampieri, Marcos and
Malmasi, Shervin",
booktitle = "Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying ({TRAC}-2018)",
month = aug,
year = "2018",
address = "Santa Fe, New Mexico, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W18-4403",
pages = "19--27",
abstract = "This paper describes the participation of the IRIT team to the TRAC 2018 shared task on Aggression Identification and more precisely to the shared task in English language. The three following methods have been used: a) a combination of machine learning techniques that relies on a set of features and document/text vectorization, b) Convolutional Neural Network (CNN) and c) a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). Best results were obtained when using the method (a) on the English test data from Facebook which ranked our method sixteenth out of thirty teams, and the method (c) on the English test data from other social media, where we obtained the fifteenth rank out of thirty.",
}
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%0 Conference Proceedings
%T IRIT at TRAC 2018
%A Ramiandrisoa, Faneva
%A Mothe, Josiane
%Y Kumar, Ritesh
%Y Ojha, Atul Kr.
%Y Zampieri, Marcos
%Y Malmasi, Shervin
%S Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018)
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F ramiandrisoa-mothe-2018-irit
%X This paper describes the participation of the IRIT team to the TRAC 2018 shared task on Aggression Identification and more precisely to the shared task in English language. The three following methods have been used: a) a combination of machine learning techniques that relies on a set of features and document/text vectorization, b) Convolutional Neural Network (CNN) and c) a combination of Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM). Best results were obtained when using the method (a) on the English test data from Facebook which ranked our method sixteenth out of thirty teams, and the method (c) on the English test data from other social media, where we obtained the fifteenth rank out of thirty.
%U https://aclanthology.org/W18-4403
%P 19-27
Markdown (Informal)
[IRIT at TRAC 2018](https://aclanthology.org/W18-4403) (Ramiandrisoa & Mothe, TRAC 2018)
ACL
- Faneva Ramiandrisoa and Josiane Mothe. 2018. IRIT at TRAC 2018. In Proceedings of the First Workshop on Trolling, Aggression and Cyberbullying (TRAC-2018), pages 19–27, Santa Fe, New Mexico, USA. Association for Computational Linguistics.