Application Research of Intention Recognition and Semantic Slot Filling Combined Model in Electric Power Customer Service
Pages 225 - 228
Abstract
The development of artificial intelligence technology is changing with each passing day, intelligent voice technology has been applied in more and more industries and scenarios. In the human-machine dialogue system, the natural language understanding module is responsible for converting the natural language text input by the user into a structured semantic representation that is convenient for machine understanding and calculation. This paper studies the construction of a joint model of intention recognition and slot filling in Natural Language Understanding (NLU) in a human-machine dialogue system and conducts an application experiment on the performance of the existing model in a laboratory environment. The experimental reveals the traditional single model is combined. The model has a better effect on the understanding of interactive information, hierarchical information and contextual information.
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- Application Research of Intention Recognition and Semantic Slot Filling Combined Model in Electric Power Customer Service
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Published In
December 2020
687 pages
ISBN:9781450388665
DOI:10.1145/3452940
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Association for Computing Machinery
New York, NY, United States
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Published: 17 May 2021
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ICITEE2020
ICITEE2020: The 3rd International Conference on Information Technologies and Electrical Engineering
December 3 - 5, 2020
Hunan, Changde City, China
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