ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling-Reference-Cited by-同舟云学术

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ESIE-BERT: Enriching sub-words information explicitly with BERT for intent classification and slot filling

Published:2024-07 Issue: Volume:591 Page:127725
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Guo Yu^ORCID,Xie Zhilong^ORCID,Chen Xingyan,Chen Huangen,Wang Leilei,Du Huaming,Wei Shaopeng,Zhao Yu,Li Qing,Wu Gang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference57 articles.

1. Stock movement prediction based on bi-typed hybrid-relational market knowledge graph via dual attention networks;Zhao;IEEE Trans. Knowl. Data Eng.,2022

2. Learning bi-typed multi-relational heterogeneous graph via dual hierarchical attention networks;Zhao;IEEE Trans. Knowl. Data Eng.,2023

3. FinHGNN: A conditional heterogeneous graph learning to address relational attributes for stock predictions;Tan;Inform. Sci.,2022

4. Asset pricing via deep graph learning to incorporate heterogeneous predictors;Huang;Int. J. Intell. Syst.,2022

5. Intent determination and spoken utterance classification;Tur,2011

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1. An Innovative Model of English Translation Teaching Mode in Colleges and Universities from a Cross-cultural Perspective;Applied Mathematics and Nonlinear Sciences;2024-01-01

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