Objective Biomedical text summarization helps biomedical information seekers avoid
information overload by reducing the length of a document while preserving the contents' …

Automatic text summarizers can reduce the time required to read lengthy text documents by
extracting the most important parts. Multi-document summarizers should produce a summary …

Evidence-Based Medicine (EBM) aims to apply the best available evidence gained from
scientific methods to clinical decision making. A generally accepted criterion to formulate …

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 …

In this paper, we combined sentence clustering and frequent itemsets mining to build a
single biomedical text summarization method. Biomedical documents are represented as a …

This paper presents query-sentence matching based and UMLS query-graph based
summarization techniques for query-specific biomedical text summarization. The query …

Exponential growth of biomedical literature poses different challenges in searching. To
address complex information needs of the users, rigorous semantic processing of …