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Related Concept Videos

Retrieval01:12

Retrieval

Retrieval is the process of getting information out of memory storage and back into conscious awareness. This ability is essential for daily tasks like brushing hair and teeth, driving to work, and performing job duties. Retrieval occurs in three ways: recall, recognition, and relearning.
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Mnemonic Devices

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Factual:  
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IUPAC Nomenclature of Carboxylic Acids01:16

IUPAC Nomenclature of Carboxylic Acids

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Related Experiment Video

Updated: Jun 20, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

[Developing and evaluating an auto-retrieval algorithm for abbreviations in academic articles].

Michika Wakoh1, Naoki Nishimoto, Masahito Uesugi

  • 1Department of Health Sciences, School of Medicine, Hokkaido University.

Nihon Hoshasen Gijutsu Gakkai Zasshi
|September 2, 2009
PubMed
Summary
This summary is machine-generated.

This study developed automated software to extract abbreviations and their meanings from academic articles, achieving an 87.9% accuracy rate for liver-related research. This supports continuous maintenance of abbreviation semantics inventories.

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Area of Science:

  • Biomedical Informatics
  • Natural Language Processing
  • Medical Literature Analysis

Context:

  • Managing and maintaining institution-specific semantics inventories for abbreviations is crucial for academic research.
  • Automated support is needed for the continuous updating of abbreviation knowledge bases.
  • Academic articles, particularly in specialized fields like medicine, contain numerous abbreviations requiring accurate interpretation.

Purpose:

  • To develop and evaluate automated acquisition support for extracting abbreviation semantics from academic texts.
  • To assess the performance of a novel Java software in identifying abbreviation-full form pairs.
  • To facilitate the ongoing maintenance of an institutional abbreviation semantics inventory.

Summary:

  • A Java-based software was developed to extract abbreviations and their full forms from MEDLINE abstracts using rules based on parenthesis content and character matching.
  • The software processed 100 "Liver [MeSH]" abstracts, identifying 165 abbreviation-full form pairs.
  • Manual evaluation by experts confirmed that 145 (87.9%) of the extracted pairs were correct.

Impact:

  • The developed automated system demonstrates high accuracy in extracting abbreviation semantics from biomedical literature.
  • This tool can significantly improve the efficiency and accuracy of maintaining specialized abbreviation inventories.
  • The findings support the integration of automated natural language processing techniques in biomedical knowledge management.