Papers by Aanchan Mohan

1 papers
A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks (2024.emnlp-industry)

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Challenge: Virtual assistants often can handle only a limited scope of intents.
Approach: They propose to combine out-of-scope (OOS) rejection with intent classification . they propose to regularize cross-entropy loss with an in-scope embedding reconstruction loss .
Outcome: The proposed method achieves a 1-4% improvement in the area under the precision-recall curve for rejecting out-of-sample instances without compromising intent classification performance.

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