Word sense disambiguation in the biomedical domain: an overview.
about
Calling on a million minds for community annotation in WikiProteinsChallenges and practical approaches with word sense disambiguation of acronyms and abbreviations in the clinical domainA sense inventory for clinical abbreviations and acronyms created using clinical notes and medical dictionary resourcesTowards Comprehensive Clinical Abbreviation Disambiguation Using Machine-Labeled Training Data.Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues.Disambiguation of biomedical text using diverse sources of informationBiomedical word sense disambiguation with ontologies and metadata: automation meets accuracyUMLS content views appropriate for NLP processing of the biomedical literature vs. clinical text.Using a statistical natural language Parser augmented with the UMLS specialist lexicon to assign SNOMED CT codes to anatomic sites and pathologic diagnoses in full text pathology reports.Tailoring vocabularies for NLP in sub-domains: a method to detect unused word senseKnowledge-based biomedical word sense disambiguation: comparison of approachesCollocation analysis for UMLS knowledge-based word sense disambiguation.Studying the correlation between different word sense disambiguation methods and summarization effectiveness in biomedical textsMayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications.Automated non-alphanumeric symbol resolution in clinical texts.A Preliminary Study of Clinical Abbreviation Disambiguation in Real Time.Automated disambiguation of acronyms and abbreviations in clinical texts: window and training size considerations.Word sense disambiguation via semantic type classification.Applying active learning to supervised word sense disambiguation in MEDLINEFast max-margin clustering for unsupervised word sense disambiguation in biomedical texts.Automating case definitions using literature-based reasoning.Word Sense Disambiguation of clinical abbreviations with hyperdimensional computing.Clinical Word Sense Disambiguation with Interactive Search and ClassificationLiterature mining, ontologies and information visualization for drug repurposing.A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD).Combining corpus-derived sense profiles with estimated frequency information to disambiguate clinical abbreviations.Author name disambiguation
P2860
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P2860
Word sense disambiguation in the biomedical domain: an overview.
description
2005 nî lūn-bûn
@nan
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
2005年论文
@zh
2005年论文
@zh-cn
name
Word sense disambiguation in the biomedical domain: an overview.
@ast
Word sense disambiguation in the biomedical domain: an overview.
@en
type
label
Word sense disambiguation in the biomedical domain: an overview.
@ast
Word sense disambiguation in the biomedical domain: an overview.
@en
prefLabel
Word sense disambiguation in the biomedical domain: an overview.
@ast
Word sense disambiguation in the biomedical domain: an overview.
@en
P50
P356
P1476
Word sense disambiguation in the biomedical domain: an overview.
@en
P2093
Jan A Kors
Martijn J Schuemie
P304
P356
10.1089/CMB.2005.12.554
P577
2005-06-01T00:00:00Z