Papers by Rishi Tekriwal

1 papers
Iterative Feature Mining for Constraint-Based Data Collection to Increase Data Diversity and Model Robustness (2020.emnlp-main)

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Challenge: Recent work on dialog has found that crowdsourced data can have limited diversity as workers tend to write simple variations from prompts.
Approach: They propose a general approach for guiding workers to write more diverse text by iteratively constraining their writing.
Outcome: The proposed approach improves performance on dialog tasks and improves on existing datasets.

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