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Ratnavel Rajalakshmi

Ratnavel Rajalakshmi has 4 papers in our library, in 2026, most of them on Bias, fairness & safety; often with Ramesh Kannan R, Bharathi Raja Chakravarthi, Bhuvaneswari Sivagnanam.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 18 · 102 works · 907 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 8 times in our library · ⭐ Paper Stars ranking: #10101

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 5 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. From Comments to Harm: A Findings Report on Abusive Tamil Text Targeting Women on Social Media Shared Task (2026 · 5 citations)
    This report covers the second edition of a shared task on detecting Tamil social-media comments that abuse women.
  2. DLRG@DravidianLangTech 2026: Explainable Transformer-Based Detection of Abusive Tamil Text Targeting Women on Social Media (2026 · 1 citation)
    The paper addresses automatic detection of abusive Tamil social media comments aimed at women. This is difficult because Tamil is low-resource and online posts are informal, with phonetic spellings, slang, dialect variation and implicit abuse such as sarcasm. Using the binary abusive/non-abusive dataset from the…
  3. DLRG@LT-EDI 2026: Automating Counter-Narratives for Homophobic and Transphobic Comments (2026 · 1 citation)
    The paper addresses automatic responses to homophobic and transphobic social-media comments in Tamil and English.
  4. HNK@DravidianLangTech 2026: Investigating Grapheme-Level Normalization for Abusive Tamil Text Classification (2026 · 1 citation)
    This paper addresses automatic detection of abusive Tamil social media comments aimed at women. It treats the problem as a binary Abusive vs. Non-Abusive task within the DravidianLangTech 2026 shared task.

 Co-authors here

6 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 8 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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