Pharmaceutical Entity Recognition
Pharmaceutical Entity Recognition is a natural language processing task that identifies and classifies mentions of pharmaceutical substances, such as drugs, medications, and chemical compounds, within unstructured text, distinguishing it from broader named entity recognition by its specific focus on pharmacologically relevant entities.
33
Publications
1.5K
Citations
140
Authors
68
Institutions
Publications per year
2017–2026
19
Parents
33
1–5 of 33
140
3
h-index
3
h-index
3
h-index
3
h-index
3
h-index
1–5 of 140
68

Universidad Carlos III de Madrid
Madrid, Spain
3 h-index
7 publications
796 citations

Harbin Institute of Technology
Harbin, China
3 h-index
16 publications
381 citations

St. Petersburg Department of Steklov Institute of Mathematics
Saint Petersburg, Russia
2 h-index
2 publications
63 citations
Columbia University
New York, United States
2 h-index
13 publications
283 citations

Kazan Federal University
Kazan’, Russia
2 h-index
13 publications
398 citations
Département d'Informatique
Paris, France
1 h-index
1 publications
11 citations
Public Works Department Buildings and Roads
Ludhiana, India
1 h-index
1 publications
17 citations
Universidad de Navarra
Pamplona, Spain
1 h-index
6 publications
516 citations
1–8 of 68
JAMIA · 3 publications · 116 citations
3
h-index
2 publications · 82 citations
2
h-index
Book series · 2 publications · 99 citations
2
h-index
1 publications · 16 citations
1
h-index
JMI · 1 publications · 34 citations
1
h-index
1–5