Papers by V P Shivasankaran

1 papers
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery (2023.findings-emnlp)

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Challenge: Intent-related tasks are typically modeled as separate tasks, but a unified approach is proposed . INTENDD uses an entirely unsupervised contrastive learning strategy for representation learning .
Approach: They propose a unified approach to identifying intents from dialogue utterances . they propose an unsupervised contrastive learning strategy for representation learning .
Outcome: The proposed approach outperforms baselines on three intent-related tasks on multiple datasets.

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