Research on LatticeLSTM model based on data enhancement and self-attention mechanism

Yi Pan; Yong Zhou; He Liu; JinTao Zhang; JiaHua Wu

doi:10.1117/12.2673458

3 April 2023 Research on LatticeLSTM model based on data enhancement and self-attention mechanism

Yi Pan, Yong Zhou, He Liu, JinTao Zhang, JiaHua Wu

Proceedings Volume 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022); 1259928 (2023) https://doi.org/10.1117/12.2673458
Event: 2nd International Conference on Digital Society and Intelligent Systems (DSInS 2022), 2022, Chendgu, China

Abstract

(Named Entity Recognition, NER) and (Relation Extraction, RE) are two basic tasks in Natural LanguageProcessing, NLP). Due to the indistinguishable boundaries between entities in Chinese and the lack of obvious formal signs, Named entity recognition has always been a difficult point in the Chinese field. Although it has made good progress in Chinese, it still lacks the semantic understanding ability in special fields and the effect is not ideal. In this paper, the algorithm of deep learning and self-attention mechanism are deeply studied. By improving LatticeLSTM model and integrating self-attention mechanism, the ability to understand Chinese semantics is improved, and a small amount of labeled data is expanded by data enhancement to build a data set in a special field to complete the task of named entity recognition.

Citation Download Citation

Yi Pan, Yong Zhou, He Liu, JinTao Zhang, and JiaHua Wu "Research on LatticeLSTM model based on data enhancement and self-attention mechanism", Proc. SPIE 12599, Second International Conference on Digital Society and Intelligent Systems (DSInS 2022), 1259928 (3 April 2023); https://doi.org/10.1117/12.2673458

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available