Papers by Stalin Varanasi

1 papers
AutoEQA: Auto-Encoding Questions for Extractive Question Answering (2021.findings-emnlp)

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Challenge: Extractive question answering models are reliant on annotations of answer-spans in the corresponding passages.
Approach: They propose a method that auto-encodes a question and generates corresponding questions from it.
Outcome: The proposed method performs well in a zero-shot setting and can provide an additional loss to boost performance for extractive question answering (EQA).

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