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20212026
most citedFindings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments

38 citations · 48 across the 4 of their papers we have counts for

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5 papers

cs.IR2026

A Study of Prior Case Retrieval Using Lexical, Semantic, and Rhetorical Role Information in Indian Legal Documents

Sayed Ayaan Ahmed Sha, Sangeetha Sivanesan, Anand Kumar Madasamy +3

For retrieving prior cases in Indian legal judgments, the problem involves distinguishing relevant legal facts from mere lexical similarities because a prior case that shares a sta…

cs.IR2026

Rhetorical-Role-Aware Retrieval-Augmented Generation for Legal Question Answering over Indian Supreme Court Judgments

Sayed Ayaan Ahmed Sha, Sangeetha Sivanesan, Anand Kumar Madasamy +1

This research paper proposes a Retrieval Augmented Generation (RAG) framework that is specific to the legal field in order to assist interactive retrieval and reason about judgment…

cs.CL2022★ 38 cited

Findings of the Shared Task on Offensive Span Identification from Code-Mixed Tamil-English Comments

Manikandan Ravikiran, Bharathi Raja Chakravarthi, Anand Kumar Madasamy +5

Offensive content moderation is vital in social media platforms to support healthy online discussions. However, their prevalence in codemixed Dravidian languages is limited to clas…

cs.CL2022★ 9 cited

Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection

Hariharan RamakrishnaIyer LekshmiAmmal, Manikandan Ravikiran, Gayathri Nisha +4

Hope Speech Detection, a task of recognizing positive expressions, has made significant strides recently. However, much of the current works focus on model development without cons…

cs.CL2021★ 1 cited

Developing Successful Shared Tasks on Offensive Language Identification for Dravidian Languages

Bharathi Raja Chakravarthi, Dhivya Chinnappa, Ruba Priyadharshini +7

With the fast growth of mobile computing and Web technologies, offensive language has become more prevalent on social networking platforms. Since offensive language identification…