Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods.
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Trends in biomedical informatics: automated topic analysis of JAMIA articlesKnowLife: a versatile approach for constructing a large knowledge graph for biomedical sciencesChallenges in clinical natural language processing for automated disorder normalizationClinical Natural Language Processing in 2014: Foundational Methods Supporting Efficient Healthcare.Semantic annotation in biomedicine: the current landscape.Concept Modeling-based Drug Repositioning.A bibliometric analysis of natural language processing in medical research.Distinction between medical and non-medical usages of short forms in clinical narratives.
P2860
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P2860
Word sense disambiguation in the clinical domain: a comparison of knowledge-rich and knowledge-poor unsupervised methods.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@ast
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@en
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@nl
type
label
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@ast
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@en
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@nl
prefLabel
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@ast
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@en
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@nl
P2860
P50
P1476
Word sense disambiguation in t ...... dge-poor unsupervised methods.
@en
P2093
Rachel Chasin
P2860
P304
P356
10.1136/AMIAJNL-2013-002133
P577
2014-01-17T00:00:00Z