Survey of nlp in pharmacology: Methodology, tasks, resources, knowledge, and tools
Journal
arXiv preprint arXiv:2208.10228
Date Issued
2022-08-22
Author(s)
Trajkovski, Vangel
Dimitrieva, Makedonka
Dobreva, Jovana
Jovanovik, Milos
Klemen, Matej
Žagar, Aleš
Robnik-Šikonja, Marko
Abstract
Natural language processing (NLP) is an area of artificial intelligence that applies information technologies to process the human language, understand it to a certain degree, and use it in various applications. This area has rapidly developed in the last few years and now employs modern variants of
deep neural networks to extract relevant patterns from large text corpora. The main objective of this
work is to survey the recent use of NLP in the field of pharmacology. As our work shows, NLP is a
highly relevant information extraction and processing approach for pharmacology. It has been used
extensively, from intelligent searches through thousands of medical documents to finding traces of
adversarial drug interactions in social media. We split our coverage into five categories to survey
modern NLP methodology, commonly addressed tasks, relevant textual data, knowledge bases, and
useful programming libraries. We split each of the five categories into appropriate subcategories, describe their main properties and ideas, and summarize them in a tabular form. The resulting survey
presents a comprehensive overview of the area, useful to practitioners and interested observers.
deep neural networks to extract relevant patterns from large text corpora. The main objective of this
work is to survey the recent use of NLP in the field of pharmacology. As our work shows, NLP is a
highly relevant information extraction and processing approach for pharmacology. It has been used
extensively, from intelligent searches through thousands of medical documents to finding traces of
adversarial drug interactions in social media. We split our coverage into five categories to survey
modern NLP methodology, commonly addressed tasks, relevant textual data, knowledge bases, and
useful programming libraries. We split each of the five categories into appropriate subcategories, describe their main properties and ideas, and summarize them in a tabular form. The resulting survey
presents a comprehensive overview of the area, useful to practitioners and interested observers.
File(s)![Thumbnail Image]()
Loading...
Name
2208.10228.pdf
Size
4.84 MB
Format
Adobe PDF
Checksum
(MD5):5f0ce87cbeb08b5f155c8b54196cbfcd