Publication: TX Task: Automatic detection of focus organisms in biomedical publications
TX Task: Automatic detection of focus organisms in biomedical publications
Date
Date
Date
Citations
Kappeler, T., Kaljurand, K., & Rinaldi, F. (2009). TX Task: Automatic detection of focus organisms in biomedical publications. 80–88.
Abstract
Abstract
Abstract
In biomedical information extraction (IE), a central problem is the disambiguation of ambiguous names for domain specific entities, such as proteins, genes, etc. One important dimension of ambiguity is the organism to which the entities belong: in order to disambiguate an ambiguous entity name (e.g. a protein), it is often necessary to identify the specific organism to which it refers. In this paper we present an approach to the detection and disambiguation of the focus organism(s), i.e. the organism(s) which are the subject of the r
Metrics
Downloads
Views
Additional indexing
Creators (Authors)
Event Title
Event Title
Event Title
Event Location
Event Location
Event Location
Event Start Date
Event Start Date
Event Start Date
Event End Date
Event End Date
Event End Date
Page range/Item number
Page range/Item number
Page range/Item number
Page end
Page end
Page end
Item Type
Item Type
Item Type
In collections
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Dewey Decimal Classifikation
Language
Language
Language
Date available
Date available
Date available
OA Status
OA Status
OA Status
Metrics
Downloads
Views
Citations
Kappeler, T., Kaljurand, K., & Rinaldi, F. (2009). TX Task: Automatic detection of focus organisms in biomedical publications. 80–88.