Knowledge discovery in life science literature
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InhaltsverzeichnisAlignment of Biomedical Ontologies Using Life Science Literature.Improving Literature Preselection by Searching for Images.Headwords and Suffixes in Biomedical Names.A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature.Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features.Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature.Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parser.Extracting Named Entities Using Support Vector Machines.Extracting Initial and Reliable Negative Documents to Enhance Classification Performance.Detecting Invalid Dictionary Entries for Biomedical Text Mining.Automated Identification of Protein Classification and Detection of Annotation Errors in Protein Databases Using Statistical Approaches.GetItFull – A Tool for Downloading and Pre-processing Full-Text Journal Articles.
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Knowledge discovery in life science literature, Eric G. Bremer
- Sprache
- Erscheinungsdatum
- 2006
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- Titel
- Knowledge discovery in life science literature
- Sprache
- Englisch
- Autor*innen
- Eric G. Bremer
- Verlag
- Springer
- Erscheinungsdatum
- 2006
- ISBN10
- 3540328092
- ISBN13
- 9783540328094
- Reihe
- Lecture notes in computer science
- Kategorie
- Skripten & Universitätslehrbücher
- Beschreibung
- InhaltsverzeichnisAlignment of Biomedical Ontologies Using Life Science Literature.Improving Literature Preselection by Searching for Images.Headwords and Suffixes in Biomedical Names.A Tree Kernel-Based Method for Protein-Protein Interaction Mining from Biomedical Literature.Recognizing Biomedical Named Entities Using SVMs: Improving Recognition Performance with a Minimal Set of Features.Investigation of the Changes of Temporal Topic Profiles in Biomedical Literature.Extracting Protein-Protein Interactions in Biomedical Literature Using an Existing Syntactic Parser.Extracting Named Entities Using Support Vector Machines.Extracting Initial and Reliable Negative Documents to Enhance Classification Performance.Detecting Invalid Dictionary Entries for Biomedical Text Mining.Automated Identification of Protein Classification and Detection of Annotation Errors in Protein Databases Using Statistical Approaches.GetItFull – A Tool for Downloading and Pre-processing Full-Text Journal Articles.