Model tuning or prompt Tuning? a study of large language models for clinical concept and relation extraction
Objective To develop soft prompt-based learning architecture for large language models
(LLMs), examine prompt-tuning using frozen/unfrozen LLMs, and assess their abilities in …
(LLMs), examine prompt-tuning using frozen/unfrozen LLMs, and assess their abilities in …
Zero-shot information extraction from radiological reports using ChatGPT
Introduction Electronic health records contain an enormous amount of valuable information
recorded in free text. Information extraction is the strategy to transform free text into …
recorded in free text. Information extraction is the strategy to transform free text into …
A transformer-based diffusion probabilistic model for heart rate and blood pressure forecasting in Intensive Care Unit
Abstract Background and Objective Vital sign monitoring in the Intensive Care Unit (ICU) is
crucial for enabling prompt interventions for patients. This underscores the need for an …
crucial for enabling prompt interventions for patients. This underscores the need for an …
Advancing language models through domain knowledge integration: a comprehensive approach to training, evaluation, and optimization of social scientific neural …
F Stöhr - Journal of Computational Social Science, 2024 - Springer
This article proposes a comprehensive strategy for training, evaluating, and optimizing
domain-specific word2vec-based word embeddings, using social science literature as an …
domain-specific word2vec-based word embeddings, using social science literature as an …
Study on Chinese Semantic Entity Recognition Method for Cabin Utilizing BERT-BiGRU Model
R Ma, H Cao, Z Song, X Wu - IEEE Access, 2024 - ieeexplore.ieee.org
Name Entity Recognition (NER) aims to recognize entities in the engine room domain from
unstructured engine room domain text. But in the engine room domain, the entities are …
unstructured engine room domain text. But in the engine room domain, the entities are …
位置标签增强的中文医学命名实体级联识别.
王旭阳， 赵丽婕， 张继远 - Journal of Computer Engineering …, 2024 - search.ebscohost.com
针对一般领域的命名实体识别方法不能直接用于中文医学专业实体的识别,
现有的相关研究只专注于英文文本和扁平结构的医学实体识别等问题, 通过对专业领域实体识别 …
现有的相关研究只专注于英文文本和扁平结构的医学实体识别等问题, 通过对专业领域实体识别 …
Systematic Literature Review on Named Entity Recognition: Approach, Method, and Application
Named entity recognition (NER) is one of the preprocessing stages in natural language
processing (NLP), which functions to detect and classify entities in the corpus. NER results …
processing (NLP), which functions to detect and classify entities in the corpus. NER results …
Transformer-Based Semantic Entity Recognition for Chinese Medical Inspection Reports
H WAN, H SHENG, X KONG, Q LI, T ZHANG - 2024 - books.google.com
With the rapid development of the Internet, the application of artificial intelligence in the
medical field has become a focus of attention. At present, understanding the Chinses …
medical field has become a focus of attention. At present, understanding the Chinses …