Sneha Mehta
Sneha Mehta was a Ph.D. student in the Department of Computer Science and her advisor was Naren Ramakrishnan.
Mehta's research interests are data mining and deep learning, especially for natural language processing applications. Specifically, Mehta is interested in learning representations for natural language understanding and multi-task learning for generalizable natural language processing (NLP).
Publications
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General ItemImproving Zero-Shot Event Extraction via Sentence Simplification Date: Apr 05, 2022
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General ItemLow Rank Factorization for Compact Multi-Head Self-Attention Date: Aug 09, 2020
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General ItemEvent Detection using Hierarchical Multi-Aspect Attention Date: May 12, 2019
Projects
In the News
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Congratulations to Sanghani Center Spring 2021 Graduates , article Date: May 14, 2021 -
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DAC Student Spotlight: Sneha Mehta , article Date: Feb 11, 2020 -
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