AIMC Topic: Natural Language Processing

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Recent progress in transformer-based medical image analysis.

Computers in biology and medicine
The transformer is primarily used in the field of natural language processing. Recently, it has been adopted and shows promise in the computer vision (CV) field. Medical image analysis (MIA), as a critical branch of CV, also greatly benefits from thi...

RegEMR: a natural language processing system to automatically identify premature ovarian decline from Chinese electronic medical records.

BMC medical informatics and decision making
BACKGROUND: The ovarian reserve is a reservoir for reproductive potential. In clinical practice, early detection and treatment of premature ovarian decline characterized by abnormal ovarian reserve tests is regarded as a critical measure to prevent i...

A weakly supervised method for named entity recognition of Chinese electronic medical records.

Medical & biological engineering & computing
The field of Chinese medical natural language processing faces a significant challenge in training accurate entity recognition models due to the limited availability of high-quality labeled data. In response, we propose a joint training model, MCBERT...

Machine learning-based guilt detection in text.

Scientific reports
We introduce a novel Natural Language Processing (NLP) task called guilt detection, which focuses on detecting guilt in text. We identify guilt as a complex and vital emotion that has not been previously studied in NLP, and we aim to provide a more f...

An Acoustical and Lexical Machine-Learning Pipeline to Identify .

Journal of palliative medicine
Developing scalable methods for conversation analytics is essential for health care communication science and quality improvement. To assess the feasibility of automating the identification of a conversational feature, which is associated with imp...

Large language models encode clinical knowledge.

Nature
Large language models (LLMs) have demonstrated impressive capabilities, but the bar for clinical applications is high. Attempts to assess the clinical knowledge of models typically rely on automated evaluations based on limited benchmarks. Here, to a...

Automated Natural Language Processing-Based Supplier Discovery for Financial Services.

Big data
Public procurement is viewed as a major market force that can be used to promote innovation and drive small and medium-sized enterprises growth. In such cases, procurement system design relies on intermediates that provide vertical linkages between s...

Enhancing Chinese Character Representation With Lattice-Aligned Attention.

IEEE transactions on neural networks and learning systems
Word-character lattice models have been proved to be effective for some Chinese natural language processing (NLP) tasks, in which word boundary information is fused into character sequences. However, due to the inherently unidirectional sequential na...