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WWW
2010
ACM
15 years 6 months ago
A scalable machine-learning approach for semi-structured named entity recognition
Named entity recognition studies the problem of locating and classifying parts of free text into a set of predefined categories. Although extensive research has focused on the de...
Utku Irmak, Reiner Kraft
CIKM
2006
Springer
15 years 3 months ago
Representing documents with named entities for story link detection (SLD)
Several information organization, access, and filtering systems can benefit from different kind of document representations than those used in traditional Information Retrieval (I...
Chirag Shah, W. Bruce Croft, David Jensen
BMCBI
2008
147views more  BMCBI 2008»
14 years 12 months ago
Assessment of disease named entity recognition on a corpus of annotated sentences
Background: In recent years, the recognition of semantic types from the biomedical scientific literature has been focused on named entities like protein and gene names (PGNs) and ...
Antonio Jimeno-Yepes, Ernesto Jiménez-Ruiz,...
CORR
2010
Springer
165views Education» more  CORR 2010»
14 years 10 months ago
Monte Carlo Methods for Top-k Personalized PageRank Lists and Name Disambiguation
We study a problem of quick detection of top-k Personalized PageRank lists. This problem has a number of important applications such as finding local cuts in large graphs, estima...
Konstantin Avrachenkov, Nelly Litvak, Danil Nemiro...
BMCBI
2005
251views more  BMCBI 2005»
14 years 11 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...