Search Results for author: Punyajoy Saha

Found 11 papers, 8 papers with code

CounterGeDi: A controllable approach to generate polite, detoxified and emotional counterspeech

no code implementations9 May 2022 Punyajoy Saha, Kanishk Singh, Adarsh Kumar, Binny Mathew, Animesh Mukherjee

We generate counterspeech using three datasets and observe significant improvement across different attribute scores.

HateCheckHIn: Evaluating Hindi Hate Speech Detection Models

no code implementations30 Apr 2022 Mithun Das, Punyajoy Saha, Binny Mathew, Animesh Mukherjee

To enable more targeted diagnostic insights of such multilingual hate speech models, we introduce a set of functionalities for the purpose of evaluation.

Hate Speech Detection

Abusive and Threatening Language Detection in Urdu using Boosting based and BERT based models: A Comparative Approach

1 code implementation27 Nov 2021 Mithun Das, Somnath Banerjee, Punyajoy Saha

In this FIRE 2021 shared task - "HASOC- Abusive and Threatening language detection in Urdu" the organizers propose an abusive language detection dataset in Urdu along with threatening language detection.

Abusive Language

"Short is the Road that Leads from Fear to Hate": Fear Speech in Indian WhatsApp Groups

2 code implementations7 Feb 2021 Punyajoy Saha, Binny Mathew, Kiran Garimella, Animesh Mukherjee

We observe that users writing fear speech messages use various events and symbols to create the illusion of fear among the reader about a target community.

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

5 code implementations18 Dec 2020 Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee

We also observe that models, which utilize the human rationales for training, perform better in reducing unintended bias towards target communities.

Hate Speech Detection Text Classification

HateMonitors: Language Agnostic Abuse Detection in Social Media

1 code implementation27 Sep 2019 Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee

In this paper, we present our machine learning model, HateMonitor, developed for Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC), a shared task at FIRE 2019.

Abuse Detection Abusive Language

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