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New pipeline targets abusive comments in Indic languages

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a multi-stage training pipeline for detecting abusive comments in Indic languages. The proposed system utilizes language-based preprocessing and an ensemble of models to identify harmful content on social media. A key focus of the research is minimizing false positives to ensure freedom of expression is not compromised while enhancing online safety. AI

IMPACT Introduces a novel approach to content moderation for underrepresented languages, potentially improving online safety and inclusivity.

RANK_REASON The cluster contains an academic paper detailing a new methodology for a specific NLP task.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New pipeline targets abusive comments in Indic languages

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The cluster contains an academic paper detailing a new methodology for a specific NLP task.
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Pranshu Rastogi, Madhav Mathur, Ramaneswaran S, Kshitij Mohan ·

    Multi-Stage Training for Abusive Comment Detection in Indic Languages

    arXiv:2605.22380v1 Announce Type: new Abstract: In recent years social media has become an increasingly popular tool for communication. People use it to share their ideas, exchange information, and discuss thoughts. Given its prevalence and widespread reach, social media must rem…

  2. arXiv cs.CL TIER_1 English(EN) · Kshitij Mohan ·

    Multi-Stage Training for Abusive Comment Detection in Indic Languages

    In recent years social media has become an increasingly popular tool for communication. People use it to share their ideas, exchange information, and discuss thoughts. Given its prevalence and widespread reach, social media must remain a safe space for people. Content generated o…

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