Clustering cliques for graph-based summarization of the biomedical research literature
about
Natural language processing pipelines to annotate BioC collections with an application to the NCBI disease corpus.Text summarization in the biomedical domain: a systematic review of recent researchContext-driven automatic subgraph creation for literature-based discoveryClassification of clinically useful sentences in clinical evidence resources.
P2860
Clustering cliques for graph-based summarization of the biomedical research literature
description
2013 nî lūn-bûn
@nan
2013 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
Clustering cliques for graph-based summarization of the biomedical research literature
@ast
Clustering cliques for graph-based summarization of the biomedical research literature
@en
Clustering cliques for graph-based summarization of the biomedical research literature
@nl
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label
Clustering cliques for graph-based summarization of the biomedical research literature
@ast
Clustering cliques for graph-based summarization of the biomedical research literature
@en
Clustering cliques for graph-based summarization of the biomedical research literature
@nl
prefLabel
Clustering cliques for graph-based summarization of the biomedical research literature
@ast
Clustering cliques for graph-based summarization of the biomedical research literature
@en
Clustering cliques for graph-based summarization of the biomedical research literature
@nl
P2093
P2860
P356
P1433
P1476
Clustering cliques for graph-based summarization of the biomedical research literature
@en
P2093
Bartlomiej Wilkowski
Dongwook Shin
Marcelo Fiszman
Thomas C Rindflesch
P2860
P2888
P356
10.1186/1471-2105-14-182
P407
P577
2013-06-07T00:00:00Z
P5875
P6179
1026577305