ACL RD-TEC 1.0 Summarization of W03-1316

Paper Title:
SELECTING TEXT FEATURES FOR GENE NAME CLASSIFICATION: FROM DOCUMENTS TO TERMS

Authors: Goran Nenadic and Simon Rice and Irena Spasic and Sophia Ananiadou and Benjamin Stapley

Other assigned terms:

  • affixes
  • approach
  • biology
  • biomedical literature
  • candidate term
  • candidate terms
  • case
  • characters
  • classification accuracy
  • classification performance
  • classification scheme
  • classification task
  • classification tasks
  • co-occurrence
  • co-occurrence statistics
  • co-occurrences
  • coefficient
  • concept
  • concepts
  • corpora
  • dice
  • dice coefficient
  • dimensionality
  • discourse
  • distribution
  • document
  • document set
  • fact
  • feature
  • feature set
  • feature space
  • feature vectors
  • feature weights
  • gene name
  • gene names
  • genia
  • interpretation
  • kernel function
  • knowledge
  • lexical information
  • linguistic
  • mapping
  • measure
  • medline
  • method
  • names
  • noise
  • ontology
  • part-of-speech
  • positive and negative examples
  • precision
  • process
  • protein names
  • semantic
  • statistics
  • stems
  • suffix
  • svms
  • synonyms
  • syntactic pattern
  • tags
  • term
  • terms
  • testing corpus
  • testing set
  • text
  • textual units
  • training
  • training examples
  • training set
  • training time
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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