Papers by Pabitra Lenka

1 papers
A Unified Framework for Multilingual and Code-Mixed Visual Question Answering (2020.aacl-main)

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Challenge: Existing techniques for visual question answering focus on English questions, but many applications require a multilingual module.
Approach: They propose a deep learning framework for multilingual and code- mixed visual question answering . they create Hindi and Code-mixed VQA datasets by exploiting linguistic properties of these languages .
Outcome: The proposed model is capable of predicting answers from the questions in Hindi, English or Code- mixed (Hindi-English) languages.

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