The UMLS Metathesaurus, the largest thesaurus in the biomedical domain, provides a
representation of biomedical knowledge consisting of concepts classified by semantic type …

Techniques for automatic query expansion from top retrieved documents have shown
promise for improving retrieval effectiveness on large collections; however, they often rely on …

The indexing vocabulary is an important determinant of success in text retrieval.
Researchers have compared the effectiveness of indexing using free-text and controlled …

This paper investigates the effectiveness of using MeSH® in PubMed through its automatic
query expansion process: Automatic Term Mapping (ATM). We run Boolean searches based …

We address the ad hoc document retrieval task by devising novel types of entity-based
language models. The models utilize information about single terms in the query and …

Recent work has demonstrated the importance of query expansion for improving retrieval
effectiveness when applying statistically-based systems to MEDLINE citations. The research …

Title description Biomedical Natural Language Processing is a comprehensive tour through
the classic and current work in the field. It discusses all subjects from both a rule-based and …

We develop an automatic text categorization approach and investigate its application to text
retrieval. The categorization approach is derived from a combination of a learning paradigm …

We present a new linguistic approach to the construction of terminological feedback for use
in interactive query refinement. The method exploits the tendency for key domain concepts …

In an effort to assist medical researchers and professionals in accessing information
necessary for their work, the A1 Lab at the University of Arizona is investigating the use of a …