Traditional Chinese Medicine (TCM) is a well-established medical system with a long
history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including …

Background. The practice of traditional Chinese medicine (TCM) began several thousand
years ago, and the knowledge of practitioners is recorded in paper and electronic versions …

In the present study, we tested in vitro different parts of 35 plants used by tribals of the
Similipal Biosphere Reserve (SBR, Mayurbhanj district, India) for the management of …

As the significant subtask of information extraction, relation extraction (RE) aims to identify
and classify semantic relations between pairs of entities and is widely adopted as the …

Extracting medical entity relations from Traditional Chinese Medicine (TCM) related article is
crucial to connect domain knowledge between TCM with modern medicine. Herb accounts …

The automatic extraction of meaningful relations from biomedical literature or clinical records
is crucial in various biomedical applications. Most of the current deep learning approaches …

The clinical informatization of traditional Chinese medicine (TCM) focuses on serving users
and assisting in diagnosis. The rules of clinical knowledge play an important role in …

In this paper, we realize high-accuracy side-effect prediction of Traditional Chinese
Medicine Compound Prescription by introducing network embedding and deep learning. A …

Regularities analysis for prescriptions is a significant task for traditional Chinese medicine
(TCM), both in inheritance of clinical experience and in improvement of clinical quality …

In recent years, overlap** entity relation extraction has received a great deal of attention
and has made good progress in English. However, the research on overlap** entity …