Research Area:  Machine Learning

Abstract:

The importance of information extraction is well known due to its conceptual simplicity and potential usefulness but domain-specific task makes the process more tractable than others. Biomedical named entity recognition one such active research area that identifies biomedical entities and serves as a support system for the downstream task such as knowledge base construction, knowledge discovery, etc. The key challenge behind biomedical named entity recognition lies in the features and methods selection owing to higher complexity in the related entities. The researches have shown promising result but correctly identifying a chunk of text is an important task as it contains lots of important details which need to be analyzed to make sense out of it. This survey attempts to provide important insights of biomedical named entity recognition task to help biomedical research community.

Keywords:  

Author(s) Name:  Saurabh Suman, Adyasha Dash & Siddharth Swarup Rautaray

Publisher name:  Springer

DOI:  10.1007/978-981-15-7504-4_12

Volume Information:  

Paper Link:   https://link.springer.com/chapter/10.1007/978-981-15-7504-4_12