Unified Transformer Multi-Task Learning for Intent Classification With Entity Recognition

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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Bibliographic Details
Main Authors: Alberto Benayas, Reyhaneh Hashempour, Damian Rumble, Shoaib Jameel, Renato Cordeiro De Amorim
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Intent classification
named entity recognition
multi-task learning
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9599152/

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