This page lists all of the student systems developed using the OffensEval 2019 data.
Student papers based on OffensEval-2019 are listed below.
|Bidirectional Recurrent Models for Offensive Tweet Classification||https://arxiv.org/abs/1903.08808|
|Combination of multiple Deep Learning architectures for Offensive Language Detection in Tweets||https://arxiv.org/abs/1903.08734|
|Offensive Language Analysis using Deep Learning Architecture||https://arxiv.org/abs/1903.05280|
|Absit invidia verbo: Comparing Deep Learning methods for offensive language||https://arxiv.org/abs/1903.05929|
|An Exploration of State-of-the-art Methods for Offensive Language Detection||https://arxiv.org/abs/1903.07445|
|Towards NLP with Deep Learning: Convolutional Neural Networks and Recurrent Neural Networks for Offensive Language Identification in Social Media||https://arxiv.org/abs/1903.00665v2|
A selection of student reports from various unversities will be available here shortly.