Using outcome polarity in sentence extraction for medical question-answering.
about
Semantic processing to support clinical guideline development.What can natural language processing do for clinical decision support?Combining relevance assignment with quality of the evidence to support guideline development.Dynamic summarization of bibliographic-based data.Text summarization in the biomedical domain: a systematic review of recent researchClassification of clinically useful sentences in clinical evidence resources.Extractive summarisation of medical documents using domain knowledge and corpus statistics.First steps in automatic summarization of transcription factor properties for RegulonDB: classification of sentences about structural domains and regulated processes.
P2860
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P2860
Using outcome polarity in sentence extraction for medical question-answering.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh
2006年學術文章
@zh-hant
name
Using outcome polarity in sentence extraction for medical question-answering.
@en
Using outcome polarity in sentence extraction for medical question-answering.
@nl
type
label
Using outcome polarity in sentence extraction for medical question-answering.
@en
Using outcome polarity in sentence extraction for medical question-answering.
@nl
prefLabel
Using outcome polarity in sentence extraction for medical question-answering.
@en
Using outcome polarity in sentence extraction for medical question-answering.
@nl
P2093
P1476
Using outcome polarity in sentence extraction for medical question-answering.
@en
P2093
Graeme Hirst
Xiaodan Zhu
P304
P50
P577
2006-01-01T00:00:00Z