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KES
2010
Springer
13 years 3 months ago
Visualization and Language Processing for Supporting Analysis across the Biomedical Literature
Finding relevant publications in the large and rapidly growing body of biomedical literature is challenging. Search queries on PubMed often return thousands of publications and it ...
Carsten Görg, Hannah J. Tipney, Karin Verspoo...
BMCBI
2005
136views more  BMCBI 2005»
13 years 4 months ago
Gene/protein name recognition based on support vector machine using dictionary as features
Background: Automated information extraction from biomedical literature is important because a vast amount of biomedical literature has been published. Recognition of the biomedic...
Tomohiro Mitsumori, Sevrani Fation, Masaki Murata,...
BMCBI
2005
251views more  BMCBI 2005»
13 years 4 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...
BIB
2005
129views more  BIB 2005»
13 years 4 months ago
Text mining and ontologies in biomedicine: Making sense of raw text
The volume of biomedical literature is increasing at such a rate that it is becoming difficult to locate, retrieve and manage the reported information without text mining, which a...
Irena Spasic, Sophia Ananiadou, John McNaught, Ana...
IPM
2007
123views more  IPM 2007»
13 years 4 months ago
Generating gene summaries from biomedical literature: A study of semi-structured summarization
Most knowledge accumulated through scientific discoveries in genomics and related biomedical disciplines is buried in the vast amount of biomedical literature. Since understandin...
Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxia...
IJBRA
2007
114views more  IJBRA 2007»
13 years 4 months ago
Enhanced semantic access to the protein engineering literature using ontologies populated by text mining
: The biomedical literature is growing at an ever-increasing rate, which pronounces the need to support scientists with advanced, automated means of accessing knowledge. We investi...
René Witte, Thomas Kappler, Christopher J. ...
BMCBI
2008
100views more  BMCBI 2008»
13 years 4 months ago
Extracting unrecognized gene relationships from the biomedical literature via matrix factorizations
Background: The construction of literature-based networks of gene-gene interactions is one of the most important applications of text mining in bioinformatics. Extracting potentia...
Hyunsoo Kim, Haesun Park, Barry L. Drake
BMCBI
2010
154views more  BMCBI 2010»
13 years 4 months ago
LINNAEUS: A species name identification system for biomedical literature
Background: The task of recognizing and identifying species names in biomedical literature has recently been regarded as critical for a number of applications in text and data min...
Martin Gerner, Goran Nenadic, Casey M. Bergman
EACL
2006
ACL Anthology
13 years 6 months ago
Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
Claudio Giuliano, Alberto Lavelli, Lorenza Romano
KCAP
2003
ACM
13 years 9 months ago
LitLinker: capturing connections across the biomedical literature
The explosive growth in the biomedical literature has made it difficult for researchers to keep up with advancements, even in their own narrow specializations. In addition, this c...
Wanda Pratt, Meliha Yetisgen-Yildiz