The number of scientific publications in the literature is steadily growing, containing our
knowledge in the biomedical, health, and clinical sciences. Since there is currently no …

In the medical field, a doctor must have a comprehensive knowledge by reading and writing
narrative documents, and he is responsible for every decision he takes for patients …

The large availability of clinical natural language documents, such as clinical narratives or
diagnoses, requires the definition of smart automatic systems for their processing and …

In legal texts, named entity recognition (NER) is researched using deep learning models.
First, the bidirectional (Bi)‐long short‐term memory (LSTM)‐conditional random field (CRF) …

The China Conference on Knowledge Graph and Semantic Computing (CCKS) 2020
Evaluation Task 3 presented clinical named entity recognition and event extraction for the …

Background Medical lexicons enable the natural language processing (NLP) of health texts.
Lexicons gather terms and concepts from thesauri and ontologies, and linguistic data for part …

Purpose The purpose of this paper is to propose a methodology for the enrichment and
tailoring of a knowledge organization system (KOS), in order to support the information …

Nowadays, there is a huge amount of electronic medical documents created in natural
language by medical specialists, containing useful information needed for several medical …

Since the development of information technologies, there is a huge amount of electronic
documents that was written by medical specialists and are rich of useful information needed …

In the medical field, doctors must have comprehensive knowledge by reading and writing
narrative documents, and they are responsible for every decision they take for patients …