/GBV-counterspeech-annotation-app

Annotation interface for gender-based violence (GBV) and counterspeech.

Primary LanguagePython

Counterspeech Annotation App

Streamlit annotation interface for counterspeech strategy annotation.

Install dependencies

pip install streamlit

or depending on environment

conda install streamlit

Run the annotation app

streamlit run app.py

Datasets

  • Multi-target CONAN:

    Margherita Fanton, Helena Bonaldi, Serra Sinem Tekiroğlu, and Marco Guerini. 2021. Human-in-the-Loop for Data Collection: a Multi-Target Counter Narrative Dataset to Fight Online Hate Speech. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), pages 3226–3240, Online. Association for Computational Linguistics.

  • IntentCONANv2:

    Amey Hengle, Aswini Padhi, Sahajpreet Singh, Anil Bandhakavi, Md Shad Akhtar, and Tanmoy Chakraborty. 2024. Intent-conditioned and Non-toxic Counterspeech Generation using Multi-Task Instruction Tuning with RLAIF. In Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), pages 6716–6733, Mexico City, Mexico. Association for Computational Linguistics.