Keyphrase extraction methodology from short abstracts of medical documents

Eslam Amer*, Khaled M. Fouad

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Keyphrases are the keywords that provide the semantic metadata about document that represents the top concepts inside an article. Number of natural language processing (NLP) methodologies; such as text summarization, text mining and information retrieval applications, consider Keyphrase Extraction as a critical step to accomplish its tasks. This paper presents a method to extract keyphrases from abstracts of medical research papers. The proposed method utilizes DBpedia to gain access to terms that may be of interest to the candidate keyphrases extracted from the original document. Experimental results showed that the proposed method outperforms other related methods in terms of higher precision and F-measure values.

Original languageEnglish
Title of host publication2016 8th Cairo International Biomedical Engineering Conference, CIBEC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages23-26
Number of pages4
ISBN (Electronic)9781509029877
DOIs
Publication statusPublished - 30 Jan 2017
Event8th Cairo International Biomedical Engineering Conference, CIBEC 2016 - Cairo, Egypt
Duration: 15 Dec 201617 Dec 2016

Conference

Conference8th Cairo International Biomedical Engineering Conference, CIBEC 2016
Country/TerritoryEgypt
CityCairo
Period15/12/1617/12/16

Keywords

  • Feature extraction
  • data mining
  • natural language processing
  • computer science
  • semanitics
  • encyclopedias

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