A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text

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A Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text is …
instance of (P31):
scholarly articleQ13442814

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P932PMC publication ID4765694
P698PubMed publication ID26958273

P2093author name stringJun Xu
Min Jiang
Hua Xu
Yaoyun Zhang
Yonghui Wu
P2860cites workMultiparameter Intelligent Monitoring in Intensive Care II: a public-access intensive care unit databaseQ28743230
Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applicationsQ34371773
Extracting medication information from clinical textQ34371834
An overview of MetaMap: historical perspective and recent advancesQ34372056
Recognizing clinical entities in hospital discharge summaries using Structural Support Vector Machines with word representation featuresQ34659141
The KnowledgeMap project: development of a concept-based medical school curriculum databaseQ34686619
Machine-learned solutions for three stages of clinical information extraction: the state of the art at i2b2 2010.Q35200258
2010 i2b2/VA challenge on concepts, assertions, and relations in clinical textQ35200294
Evaluating the state of the art in disorder recognition and normalization of the clinical narrativeQ35611193
Enhancing clinical concept extraction with distributional semantics.Q35736674
Towards a comprehensive medical language processing system: methods and issues.Q36444388
Evaluating word representation features in biomedical named entity recognition tasks.Q37658218
P407language of work or nameEnglishQ1860
P921main subjectnamed-entity recognitionQ403574
word embeddingQ18395344
P304page(s)1326-33
P577publication date2015-01-01
P1433published inAMIA Annual Symposium proceedingsQ27720789
P1476titleA Study of Neural Word Embeddings for Named Entity Recognition in Clinical Text
P478volume2015

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Q45946777Prescription extraction using CRFs and word embeddings.

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