相关实验视频

Updated: Jul 20, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.7K

在低资源语言中,用于少数射击的生物医学命名实体识别的多式方法

Jian Chen1, Leilei Su2, Yihong Li1

  • 1Department of Data Science and Big Data Technology, Hainan University, Haikou 570228, China.

Journal of biomedical informatics
|December 2, 2024
PubMed
概括

这项研究引入了一种新的多式联络方法,用于在低资源语言中进行生物医学命名实体识别 (NER). 该方法通过整合文本和图像数据来提高NER的性能,克服了传统单模式技术的局限性.

关键词:
生物医学命名实体的识别.有几次射击学习学习.多模式学习是多模式学习.从文本转换成图像的方法

更多相关视频

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

502
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

1.4K

相关概念视频

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...