Загрузка...
An Unsupervised Text Mining Method for Relation Extraction from Biomedical Literature
The wealth of interaction information provided in biomedical articles motivated the implementation of text mining approaches to automatically extract biomedical relations. This paper presents an unsupervised method based on pattern clustering and sentence parsing to deal with biomedical relation ext...
Сохранить в:
| Главные авторы: | , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Public Library of Science
2014
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4103846/ https://ncbi.nlm.nih.gov/pubmed/25036529 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0102039 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|