OffensEval Student Systems

This page lists all of the student systems developed using the OffensEval 2019 data.

Student Papers

Student papers based on OffensEval-2019 are listed below.

Paper Link
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

Student Reports

A selection of student reports from various unversities will be available here shortly.