Table of Contents:
  • Alignment 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.