Matches in SemOpenAlex for { <https://semopenalex.org/work/W2025155287> ?p ?o ?g. }
- W2025155287 endingPage "15" @default.
- W2025155287 startingPage "1" @default.
- W2025155287 abstract "The objective of this paper is to present a methodology to extract and rank automatically biomedical terms from free text. The authors present new extraction methods taking into account linguistic patterns specialized for the biomedical domain, statistic term extraction measures such as C-value and statistic keyword extraction measures such as Okapi BM25, and TFIDF. These measures are combined in order to improve the extraction process and the authors investigate which combinations are the more relevant associated to different contexts. Experimental results show that an appropriate harmonic mean of C-value associated to keyword extraction measures offers better precision, both for single-word and multi-words term extraction. Experiments describe the extraction of English and French biomedical terms from a corpus of laboratory tests available online. The results are validated by using UMLS (in English) and only MeSH (in French) as reference dictionary." @default.
- W2025155287 created "2016-06-24" @default.
- W2025155287 creator A5014118555 @default.
- W2025155287 creator A5064022148 @default.
- W2025155287 creator A5075318719 @default.
- W2025155287 creator A5079554685 @default.
- W2025155287 date "2014-01-01" @default.
- W2025155287 modified "2023-09-24" @default.
- W2025155287 title "Towards a Mixed Approach to Extract Biomedical Terms from Text Corpus" @default.
- W2025155287 cites W1529346362 @default.
- W2025155287 cites W1533359486 @default.
- W2025155287 cites W1593195594 @default.
- W2025155287 cites W1982672824 @default.
- W2025155287 cites W2030903088 @default.
- W2025155287 cites W2039612385 @default.
- W2025155287 cites W2049107599 @default.
- W2025155287 cites W2061644206 @default.
- W2025155287 cites W2075310148 @default.
- W2025155287 cites W2078307131 @default.
- W2025155287 cites W2087696423 @default.
- W2025155287 cites W2100080715 @default.
- W2025155287 cites W2131660156 @default.
- W2025155287 cites W2165897980 @default.
- W2025155287 cites W48780670 @default.
- W2025155287 doi "https://doi.org/10.4018/ijkdb.2014010101" @default.
- W2025155287 hasPublicationYear "2014" @default.
- W2025155287 type Work @default.
- W2025155287 sameAs 2025155287 @default.
- W2025155287 citedByCount "15" @default.
- W2025155287 countsByYear W20251552872014 @default.
- W2025155287 countsByYear W20251552872015 @default.
- W2025155287 countsByYear W20251552872016 @default.
- W2025155287 countsByYear W20251552872017 @default.
- W2025155287 countsByYear W20251552872019 @default.
- W2025155287 countsByYear W20251552872020 @default.
- W2025155287 countsByYear W20251552872021 @default.
- W2025155287 crossrefType "journal-article" @default.
- W2025155287 hasAuthorship W2025155287A5014118555 @default.
- W2025155287 hasAuthorship W2025155287A5064022148 @default.
- W2025155287 hasAuthorship W2025155287A5075318719 @default.
- W2025155287 hasAuthorship W2025155287A5079554685 @default.
- W2025155287 hasBestOaLocation W20251552872 @default.
- W2025155287 hasConcept C105795698 @default.
- W2025155287 hasConcept C111919701 @default.
- W2025155287 hasConcept C114614502 @default.
- W2025155287 hasConcept C121332964 @default.
- W2025155287 hasConcept C134306372 @default.
- W2025155287 hasConcept C154945302 @default.
- W2025155287 hasConcept C164226766 @default.
- W2025155287 hasConcept C185592680 @default.
- W2025155287 hasConcept C204321447 @default.
- W2025155287 hasConcept C23123220 @default.
- W2025155287 hasConcept C2780288562 @default.
- W2025155287 hasConcept C33923547 @default.
- W2025155287 hasConcept C36503486 @default.
- W2025155287 hasConcept C41008148 @default.
- W2025155287 hasConcept C43617362 @default.
- W2025155287 hasConcept C4725764 @default.
- W2025155287 hasConcept C61797465 @default.
- W2025155287 hasConcept C62520636 @default.
- W2025155287 hasConcept C81758059 @default.
- W2025155287 hasConcept C89128539 @default.
- W2025155287 hasConcept C98045186 @default.
- W2025155287 hasConceptScore W2025155287C105795698 @default.
- W2025155287 hasConceptScore W2025155287C111919701 @default.
- W2025155287 hasConceptScore W2025155287C114614502 @default.
- W2025155287 hasConceptScore W2025155287C121332964 @default.
- W2025155287 hasConceptScore W2025155287C134306372 @default.
- W2025155287 hasConceptScore W2025155287C154945302 @default.
- W2025155287 hasConceptScore W2025155287C164226766 @default.
- W2025155287 hasConceptScore W2025155287C185592680 @default.
- W2025155287 hasConceptScore W2025155287C204321447 @default.
- W2025155287 hasConceptScore W2025155287C23123220 @default.
- W2025155287 hasConceptScore W2025155287C2780288562 @default.
- W2025155287 hasConceptScore W2025155287C33923547 @default.
- W2025155287 hasConceptScore W2025155287C36503486 @default.
- W2025155287 hasConceptScore W2025155287C41008148 @default.
- W2025155287 hasConceptScore W2025155287C43617362 @default.
- W2025155287 hasConceptScore W2025155287C4725764 @default.
- W2025155287 hasConceptScore W2025155287C61797465 @default.
- W2025155287 hasConceptScore W2025155287C62520636 @default.
- W2025155287 hasConceptScore W2025155287C81758059 @default.
- W2025155287 hasConceptScore W2025155287C89128539 @default.
- W2025155287 hasConceptScore W2025155287C98045186 @default.
- W2025155287 hasIssue "1" @default.
- W2025155287 hasLocation W20251552871 @default.
- W2025155287 hasLocation W20251552872 @default.
- W2025155287 hasLocation W20251552873 @default.
- W2025155287 hasLocation W20251552874 @default.
- W2025155287 hasLocation W20251552875 @default.
- W2025155287 hasOpenAccess W2025155287 @default.
- W2025155287 hasPrimaryLocation W20251552871 @default.
- W2025155287 hasRelatedWork W116705248 @default.
- W2025155287 hasRelatedWork W125554619 @default.
- W2025155287 hasRelatedWork W16557397 @default.
- W2025155287 hasRelatedWork W1967376701 @default.
- W2025155287 hasRelatedWork W1974013656 @default.
- W2025155287 hasRelatedWork W2021609673 @default.