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 language | English |
---|---|
Title of host publication | 2016 8th Cairo International Biomedical Engineering Conference, CIBEC 2016 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 23-26 |
Number of pages | 4 |
ISBN (Electronic) | 9781509029877 |
DOIs | |
Publication status | Published - 30 Jan 2017 |
Event | 8th Cairo International Biomedical Engineering Conference, CIBEC 2016 - Cairo, Egypt Duration: 15 Dec 2016 → 17 Dec 2016 |
Conference
Conference | 8th Cairo International Biomedical Engineering Conference, CIBEC 2016 |
---|---|
Country/Territory | Egypt |
City | Cairo |
Period | 15/12/16 → 17/12/16 |
Keywords
- Feature extraction
- data mining
- natural language processing
- computer science
- semanitics
- encyclopedias