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CIKM
2009
Springer
14 years 1 months ago
The impact of document structure on keyphrase extraction
Keyphrases are short phrases that reflect the main topic of a document. Because manually annotating documents with keyphrases is a time-consuming process, several automatic appro...
Katja Hofmann, Manos Tsagkias, Edgar Meij, Maarten...
ICDE
2009
IEEE
251views Database» more  ICDE 2009»
14 years 8 months ago
Contextual Ranking of Keywords Using Click Data
The problem of automatically extracting the most interesting and relevant keyword phrases in a document has been studied extensively as it is crucial for a number of applications. ...
Utku Irmak, Vadim von Brzeski, Reiner Kraft
BMCBI
2010
153views more  BMCBI 2010»
13 years 6 months ago
PPLook: an automated data mining tool for protein-protein interaction
Background: Extracting and visualizing of protein-protein interaction (PPI) from text literatures are a meaningful topic in protein science. It assists the identification of inter...
Shao-Wu Zhang, Yao-Jun Li, Li Xia, Quan Pan
WWW
2004
ACM
14 years 7 months ago
Semantic web applications to e-science in silico experiments
This paper explains our research and implementations of manual, automatic and deep annotations of provenance logs for e-Science in silico experiments. Compared to annotating gener...
Jun Zhao, Carole A. Goble, Robert Stevens
TKDE
2010
224views more  TKDE 2010»
13 years 5 months ago
Probabilistic Topic Models for Learning Terminological Ontologies
—Probabilistic topic models were originally developed and utilised for document modeling and topic extraction in Information Retrieval. In this paper we describe a new approach f...
Wang Wei, Payam M. Barnaghi, Andrzej Bargiela