Research on Named Entity Recognition for Spoken Language Understanding Using Adversarial Transfer Learning

Research on Named Entity Recognition for Spoken Language Understanding Using Adversarial Transfer Learning

In this paper, we propose an adversarial transfer learning method to solve the lack of data resources for named entity recognition (NER) tasks in spoken language understanding. In the framework, we use bi-directional long short-term memory with self-attention and conditional random field (BiLSTM-Att...

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Bibliographic Details
Main Authors: Yao Guo, Meng Li, Yanling Li, Fengpei Ge, Yaohui Qi, Min Lin
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Electronics
Subjects:
spoken language understanding
named entity recognition
transfer learning
adversarial discriminator
Online Access:https://www.mdpi.com/2079-9292/12/4/884

Internet

https://www.mdpi.com/2079-9292/12/4/884

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