---
title: "Ratna Kandala — author profile and papers · Implicature"
description: "Ratna Kandala, University of Kansas: 4 papers on Elamur Research (2025), h-index 0 — affiliations, topics, co-authors and who cites them in…"
canonical: "https://research.elamur.ai/free/en/authors/ratna-kandala/"
---
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# Ratna Kandala

Ratna Kandala has 4 papers in our library, in 2025, most of them on [Implicature](https://md.research.elamur.ai/free/en/topics/implicature/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Katie Hoemann](https://md.research.elamur.ai/free/en/authors/katie-hoemann/).

4 papers in our library · 2025

[OpenAlex](https://openalex.org/A5120309775) · [**h-index 0**](https://openalex.org/authors/A5120309775) · [16 works](https://openalex.org/works?filter=author.id:A5120309775) · [0 citations](https://openalex.org/works?filter=author.id:A5120309775&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/ratna-kandala/#papers) · 🔗 Cited 2 times in our library · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10819](https://md.research.elamur.ai/free/en/paper-stars/page/109/#star-10819)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Ratna+Kandala) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ratna+Kandala) · [dblp](https://dblp.org/search?q=Ratna+Kandala) · [ACL Anthology](https://aclanthology.org/search/?q=Ratna+Kandala)

## Affiliations

[🎓**University of Kansas** Lawrence · United States 2025–2026 · 6 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-kansas/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

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

📚 Shelves 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology · 3 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Social Psychology · 3 works](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/) · [Biochemistry, Genetics and Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Molecular Biology · 1 work](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Philosophy · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/philosophy/)

🧭 Topics 7 Research subjects and languages the work is about.[Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [Implicature · 1 work](https://md.research.elamur.ai/free/en/topics/implicature/) · [Low-resource languages · 1 work](https://md.research.elamur.ai/free/en/topics/low-resource-languages/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Ontology engineering · 1 work](https://md.research.elamur.ai/free/en/concepts/ontology-engineering/)

## Works by year

### 2020s

[**2025** 4 papers](https://md.research.elamur.ai/free/en/authors/ratna-kandala/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation](https://md.research.elamur.ai/free/en/papers/kandala-2025-cross-lingual-mental-health-ontologies/)** *(2025 · 2 citations)* The paper examines the gap between how patients in India describe psychological distress in their native languages and how it is captured by the Western clinical classifications DSM-5 and ICD-11.
2. **[LLMs vs. Traditional Sentiment Tools in Psychology: An Evaluation on Belgian-Dutch Narratives](https://md.research.elamur.ai/free/en/papers/kandala-2025-llms-vs-traditional-sentiment-tools/)** *(2025 · 1 citation)* The paper asks whether recent Dutch-adapted LLMs estimate emotional valence in everyday Flemish writing better than classic lexicon tools used in psychology.
3. **[Are Lexicon-Based Tools Still the Gold Standard for Valence Analysis in Low-Resource Flemish?](https://md.research.elamur.ai/free/en/papers/kandala-2025-lexicon-based-tools-still-gold/)** *(2025)* The paper asks whether Dutch-adapted large language models can now replace classic dictionary-based tools for estimating emotional valence in everyday Flemish (Belgian Dutch), which is under-resourced in NLP.
4. **[Conjoined Predication and Scalar Implicature](https://md.research.elamur.ai/free/en/papers/kandala-2025-conjoined-predication-scalar-implicature/)** *(2025)* The paper revisits an open problem from Magri (2016). In Magri's theory, oddness arises when a scalar implicature, computed without regard to context, clashes with common knowledge. Some Italians come from a warm country is odd because its implicature "not all" contradicts the fact that Italians share one country.…

## All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. [**Cross-Lingual Mental Health Ontologies for Indian Languages: Bridging Patient Expression and Clinical Understanding through Explainable AI and Human-in-the-Loop Validation NLP-AI4Health**Ananth Kandala, Ratna Kandala, Akshata Kishore Moharir, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/kandala-2025-cross-lingual-mental-health-ontologies/)
2. **[FLAME: A New Dataset on FLemish Accounts of Momentary Experiences ↗](https://arxiv.org/abs/2504.14707) arXiv:2504.14707 · EMNLP Findings 2026 · no summary yet**Ratna Kandala, Niels Vanhasbroeck, Katie Hoemann*2025 · 2 citations*
3. [**LLMs vs. Traditional Sentiment Tools in Psychology: An Evaluation on Belgian-Dutch Narratives arXiv:2511.07641**Ratna Kandala, Katie Hoemann*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/kandala-2025-llms-vs-traditional-sentiment-tools/)
4. [**Are Lexicon-Based Tools Still the Gold Standard for Valence Analysis in Low-Resource Flemish? arXiv:2506.04139 · Presented at LLM Evaluation Workshop, NeurIPS 2025**Ratna Kandala, Katie Hoemann*2025*](https://md.research.elamur.ai/free/en/papers/kandala-2025-lexicon-based-tools-still-gold/)
5. [**Conjoined Predication and Scalar Implicature arXiv:2506.07429**Ratna Kandala*2025*](https://md.research.elamur.ai/free/en/papers/kandala-2025-conjoined-predication-scalar-implicature/)

## Co-authors here

1 co-author with a page, the most papers together first.

- [Katie Hoemann](https://md.research.elamur.ai/free/en/authors/katie-hoemann/) ×2

## Venues

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

- NLP-AI4Health

## Cited by

Papers of our library cite their works 2 times (of the 149,439 papers whose bibliographies we read).

Updated 30 October 2026
