Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition
Intent classification (IC) and Named Entity Recognition (NER) are arguably the two main components needed to build a Natural Language Understanding (NLU) engine, which is a main component of conversational agents. The IC and NER components are closely intertwined and the entities are often connected...
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Auteurs principaux: | , , , , |
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Format: | article |
Langue: | EN |
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IEEE
2021
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Accès en ligne: | https://doaj.org/article/367a5f976a734b5e8f1d82fe5e13a322 |
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