Papers by Tuhin Kundu
KPDROP: Improving Absent Keyphrase Generation (2022.findings-emnlp)
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| Challenge: | Existing approaches to generate absent keyphrases have limited results in generating present keyphrase. |
| Approach: | They propose a model-agnostic approach to generate absent keyphrases by randomly dropping present keyphrase from a document and turning them into artificial absent key phrases during training. |
| Outcome: | The proposed approach improves absent keyphrase generation in both supervised and resource-constrained settings. |