Papers by Sparsh Gupta
Reversing Gradients in Adversarial Domain Adaptation for Question Deduplication and Textual Entailment Tasks (P19-1)
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| Challenge: | Existing domain adaptation techniques for question deduplication and RTE focus on transferring category independent knowledge between domains. |
| Approach: | They propose to use gradient reversal to explicitly learn shared and unshared (domain specific) representations between two textual domains to compensate for domain mismatch while distilling domain specific knowledge. |
| Outcome: | The proposed approach outperforms other methods on question deduplication and on recognizing textual entailment tasks, while still distilling domain specific knowledge. |