# A Biomedical Information Extraction Primer for NLP Researchers

## TL;DR

This paper provides an overview of biomedical information extraction, highlighting key NLP tasks like NER and relation extraction, and discusses techniques used to address these challenges in the context of biology and medicine.

## Contribution

It offers a comprehensive primer for NLP researchers on biomedical information extraction, summarizing core problems and current techniques in the field.

## Key findings

- Summarizes key NLP tasks in biomedical extraction
- Discusses state-of-the-art techniques for NER and relation extraction
- Provides an overview of challenges and solutions in biomedical IE

## Abstract

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.