CLMay 10, 2017
A Biomedical Information Extraction Primer for NLP Researchers
arXiv:1705.05437v1
Originality Synthesis-oriented
AI Analysis
It serves as an introductory primer for NLP researchers interested in applying existing methods to biomedical data, making it incremental in nature.
This paper provides an overview of biomedical information extraction, discussing the problems in the field and the techniques used to solve them, without presenting new experimental results or specific numbers.
Biomedical Information Extraction is an exciting field at the crossroads of Natural Language Processing, Biology and Medicine. It encompasses a variety of different tasks that require application of state-of-the-art NLP techniques, such as NER and Relation Extraction. This paper provides an overview of the problems in the field and discusses some of the techniques used for solving them.