Search Results for author: Akanksha Bansal

Found 8 papers, 2 papers with code

ComMA@ICON: Multilingual Gender Biased and Communal Language Identification Task at ICON-2021

no code implementations ICON 2021 Ritesh Kumar, Shyam Ratan, Siddharth Singh, Enakshi Nandi, Laishram Niranjana Devi, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Akanksha Bansal

If approached as three separate classification tasks, the task includes three sub-tasks: aggression identification (sub-task A), gender bias identification (sub-task B), and communal bias identification (sub-task C).

Aggression Identification Classification +2

Text Detoxification as Style Transfer in English and Hindi

1 code implementation12 Feb 2024 Sourabrata Mukherjee, Akanksha Bansal, Atul Kr. Ojha, John P. McCrae, Ondřej Dušek

This task contributes to safer and more respectful online communication and can be considered a Text Style Transfer (TST) task, where the text style changes while its content is preserved.

Multi-Task Learning Sentence +2

Developing a Multilingual Annotated Corpus of Misogyny and Aggression

no code implementations LREC 2020 Shiladitya Bhattacharya, Siddharth Singh, Ritesh Kumar, Akanksha Bansal, Akash Bhagat, Yogesh Dawer, Bornini Lahiri, Atul Kr. Ojha

In this paper, we discuss the development of a multilingual annotated corpus of misogyny and aggression in Indian English, Hindi, and Indian Bangla as part of a project on studying and automatically identifying misogyny and communalism on social media (the ComMA Project).

Panlingua-KMI MT System for Similar Language Translation Task at WMT 2019

no code implementations WS 2019 Atul Kr. Ojha, Ritesh Kumar, Akanksha Bansal, Priya Rani

The present paper enumerates the development of Panlingua-KMI Machine Translation (MT) systems for Hindi ↔ Nepali language pair, designed as part of the Similar Language Translation Task at the WMT 2019 Shared Task.

Machine Translation NMT +1

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