Aggression Identification

5 papers with code • 0 benchmarks • 1 datasets

Develop a classifier that could make a 3-way classification in-between ‘Overtly Aggressive’, ‘Covertly Aggressive’ and ‘Non-aggressive’ text data. For this, TRAC-2 dataset of 5,000 aggression-annotated data from social media each in Bangla (in both Roman and Bangla script), Hindi (in both Roman and Devanagari script) and English for training and validation is to be used.

Most implemented papers

Aggression Identification Using Deep Learning and Data Augmentation

julian-risch/TRAC-COLING2018 COLING 2018

Social media platforms allow users to share and discuss their opinions online.

Bagging BERT Models for Robust Aggression Identification

julian-risch/KONVENS2019_and_LREC2020 LREC 2020

In this paper, we describe such an ensemble system and present our submission to the shared tasks on aggression identification 2020 (team name: Julian).

Aggression Identification in English, Hindi and Bangla Text using BERT, RoBERTa and SVM

cozek/trac2020_submission LREC 2020

In our study, we used English BERT (En-BERT), RoBERTa, DistilRoBERTa, and SVM based classifiers for English language.

Aggression and Misogyny Detection using BERT: A Multi-Task Approach

NiloofarSafi/TRAC-2 LREC 2020

In recent times, the focus of the NLP community has increased towards offensive language, aggression, and hate-speech detection. This paper presents our system for TRAC-2 shared task on {``}Aggression Identification{''} (sub-task A) and {``}Misogynistic Aggression Identification{''} (sub-task B).