Zero-Shot Intent Classification
3 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Zero-Shot Intent Classification
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MASSIVE
Most implemented papers
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages
alexa/massive
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We present the MASSIVE dataset--Multilingual Amazon Slu resource package (SLURP) for Slot-filling, Intent classification, and Virtual assistant Evaluation.
Reconstructing Capsule Networks for Zero-shot Intent Classification
fanolabs/0shot-classification
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IJCNLP 2019
With the burgeoning of conversational AI, existing systems are not capable of handling numerous fast-emerging intents, which motivates zero-shot intent classification.
Unknown Intent Detection Using Gaussian Mixture Model with an Application to Zero-shot Intent Classification
fanolabs/0shot-classification
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ACL 2020
User intent classification plays a vital role in dialogue systems.
