Papers by Apurva Narayan

2 papers
HyperBox: A Supervised Approach for Hypernym Discovery using Box Embeddings (2022.lrec-1)

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Challenge: Existing methods for hypernym detection rely on word distribution.
Approach: They propose a model to learn box embeddings for hypernym discovery by using a dataset . they compare the performance of their model on medical and music domains .
Outcome: The proposed model outperforms existing methods on most evaluation metrics on medical and music domains.
PFA-ERC: Psuedo-Future Augmented Dynamic Emotion Recognition in Conversations (2024.findings-emnlp)

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Challenge: Current technologies in ERC are limited due to the need for future information.
Approach: They propose a time-series forecasting transformer that predicts pseudo-future information to overcome this constraint.
Outcome: The proposed method achieves state of the art performance on three ERC datasets - MELD, EmoryNLP, and IEMOCap.

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