Back to search

Article

Advancements in Multilingual Biomedical Natural Language Processing: Exploring Large Language Models for Named Entity Recognition and Linking

2026-01-23

Abstract excerpt

<h4>Background</h4> Clinical natural language processing tools are concentrated on English, and rigorous multilingual evaluations are scarce. We address the question of how closely a single zero-shot, prompt-based large language model (LLM) pipeline, with no task-specific training, can reproduce a human disorder annotator for named entity recog­nition and Unified Medical Language System (UMLS) concept linking acr...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
20eb90e0-7066-59c5-ba8d-b6a898cfe032
DOI
10.64898/2026.01.22.26344605
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Advancements in Multilingual Biomedical Natural Language Processing: Exploring Large Language Models for Named Entity Recognition and LinkingDOI 10.64898/2026.01.22.26344605
Select a neighboring publication to make it the new centre.