Text Summarization in the Biomedical Domain
Milad Moradi, Nasser Ghadiri

TL;DR
This paper reviews recent advances, challenges, and methods in biomedical text summarization, highlighting current trends, evaluation results, and future research directions in the field.
Contribution
It provides a comprehensive overview of recent research efforts, challenges, and evaluation outcomes in biomedical text summarization over the past decade.
Findings
Biomedical literature summarization is a leading trend.
Recent methods have shown significant evaluation improvements.
New challenges in the field are identified and discussed.
Abstract
This chapter gives an overview of recent advances in the field of biomedical text summarization. Different types of challenges are introduced, and methods are discussed concerning the type of challenge that they address. Biomedical literature summarization is explored as a leading trend in the field, and some future lines of work are pointed out. Underlying methods of recent summarization systems are briefly explained and the most significant evaluation results are mentioned. The primary purpose of this chapter is to review the most significant research efforts made in the current decade toward new methods of biomedical text summarization. As the main parts of this chapter, current trends are discussed and new challenges are introduced.
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Taxonomy
TopicsTopic Modeling · Biomedical Text Mining and Ontologies · Advanced Text Analysis Techniques
