Papers
1
Total Citations
5
H-Index
1
About
Preeti Vats is a rising researcher in artificial intelligence, with a focus on natural language processing and knowledge representation for low-resource languages. Her work centers on constructing automatic knowledge graphs—semantic networks that enable machines to understand and reason with text—a critical foundation for intelligent systems in question answering, recommendation, and information retrieval. Her most-cited paper, "HKG: A Novel Approach for Low Resource Indic Languages to Automatic Knowledge Graph Construction" (2023), addresses the significant challenge of building these graphs for languages with limited digital resources, proposing a novel methodology that has already garnered 5 citations. This contribution is particularly notable for its potential to democratize AI capabilities for Indic language speakers, bridging a crucial gap in global NLP research. Vats’s work demonstrates a commitment to making advanced AI tools accessible and effective for underrepresented linguistic communities, positioning her as a key voice in the push toward more inclusive and robust knowledge-driven AI systems.
Research Focus
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Top Papers
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