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BMCBI
2008
147views more  BMCBI 2008»
13 years 4 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,...
LREC
2008
131views Education» more  LREC 2008»
13 years 5 months ago
System Evaluation on a Named Entity Corpus from Clinical Notes
This paper presents the evaluation of the dictionary look-up component of Mayo Clinic's Information Extraction system. The component was tested on a corpus of 160 free-text c...
Karin Schuler, Vinod Kaggal, James J. Masanz, Phil...
FLAIRS
2008
13 years 6 months ago
A Semantic Parser for Neuro-Degenerative Disease Knowledge Discovery
Ever increasing size of the biomedical literature makes tapping into implicit knowledge in scientific literature a necessity for knowledge discovery. In this paper, a semantic par...
I. Burak Ozyurt
TCBB
2010
136views more  TCBB 2010»
13 years 2 months ago
Efficient Extraction of Protein-Protein Interactions from Full-Text Articles
—Proteins and their interactions govern virtually all cellular processes, such as regulation, signaling, metabolism, and structure. Most experimental findings pertaining to such ...
Jörg Hakenberg, Robert Leaman, Nguyen Ha Vo, ...
ICDM
2009
IEEE
233views Data Mining» more  ICDM 2009»
13 years 11 months ago
Semi-Supervised Sequence Labeling with Self-Learned Features
—Typical information extraction (IE) systems can be seen as tasks assigning labels to words in a natural language sequence. The performance is restricted by the availability of l...
Yanjun Qi, Pavel Kuksa, Ronan Collobert, Kunihiko ...