@inproceedings{40aefc77d3f74adc87f53cfb35e8d0e1,
title = "Knowledge-based approach for named entity recognition in biomedical literature: A use case in biomedical software identification",
abstract = "Statistical and machine learning approaches to named entity recognition have risen to prominence in the field of natural language processing. Certain named entities, specifically biomedical software, is a challenge to identify as a named entity. One direction is investigating the use of contextual semantic information to assist in this task as alluded to by previous researchers. We introduce an ontology-driven method that experiments with both information extraction and inherited features of ontologies (e.g., embedded semantic relationships and links to entities) to automatically identify familiar and unfamiliar software names. We evaluated this method with a set of biomedical research abstracts containing software entities. Our proposed approach could be used to further augment other named entity recognition methods.",
author = "Muhammad Amith and Yaoyun Zhang and Hua Xu and Cui Tao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 30th International Conference on Industrial, Engineering, and Other Applications of Applied Intelligent Systems, IEA/AIE 2017 ; Conference date: 27-06-2017 Through 30-06-2017",
year = "2017",
doi = "10.1007/978-3-319-60045-1_40",
language = "English (US)",
isbn = "9783319600444",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "386--395",
editor = "Moonis Ali and Salem Benferhat and Karim Tabia",
booktitle = "Advances in Artificial Intelligence",
address = "Germany",
}