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: Alberto Benayas, Reyhaneh Hashempour, Damian Rumble, Shoaib Jameel, Renato Cordeiro De Amorim
Format: article
Langue:EN
Publié: IEEE 2021
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Accès en ligne:https://doaj.org/article/367a5f976a734b5e8f1d82fe5e13a322
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