Papers by Dhiraj Madan

1 papers
Neural Conversational QA: Learning to Reason vs Exploiting Patterns (2020.emnlp-main)

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Challenge: Neural Conversational QA tasks such as ShARC require systems to answer questions based on the contents of a given passage.
Approach: They propose to modify a data-set with fewer spurious patterns to exploit them . they also propose to build a heuristic-based program to exploit spurious clues .
Outcome: The proposed program exploits spurious patterns in the ShARC dataset, compared to neural models.

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