ACL RD-TEC 1.0 Summarization of N04-2002

Paper Title:
IDENTIFYING CHEMICAL NAMES IN BIOMEDICAL TEXT: AN INVESTIGATION OF SUBSTRING CO-OCCURRENCE BASED APPROACHES

Other assigned terms:

  • annotation
  • approach
  • bayesian framework
  • binomial distribution
  • biomedical domain
  • biomedical text
  • boundary information
  • case
  • classification rule
  • co-occurrence
  • co-occurrence information
  • co-occurrence statistics
  • conditional independence
  • development set
  • dictionary
  • distribution
  • estimation
  • geometric mean
  • grid
  • human involvement
  • hypothesis
  • identification task
  • independence assumption
  • interpolation
  • interpolation coefficients
  • kullback-leibler divergence
  • manual annotation
  • measure
  • medline
  • method
  • model parameters
  • n-gram
  • n-gram model
  • n-gram models
  • n-grams
  • named entity
  • named entity task
  • names
  • noise
  • normal distribution
  • null hypothesis
  • precision
  • prior probability
  • probabilities
  • probability
  • probability model
  • punctuation
  • random sample
  • recognition task
  • smoothing parameter
  • statistical model
  • statistics
  • substring
  • support vector
  • symbols
  • tags
  • technique
  • term
  • test data
  • testing data
  • text
  • text corpus
  • theory
  • tokens
  • training
  • training and testing data
  • training data
  • training text
  • trees
  • word
  • word senses
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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