ACL RD-TEC 1.0 Summarization of C04-1112

Paper Title:
A LEMMA-BASED APPROACH TO A MAXIMUM ENTROPY WORD SENSE DISAMBIGUATION SYSTEM FOR DUTCH

Other assigned terms:

  • ambiguity
  • ambiguous word
  • ambiguous wordform
  • ambiguous words
  • approach
  • case
  • classification accuracy
  • classification task
  • clusters
  • compact representation
  • context features
  • context size
  • context words
  • convergence
  • corpora
  • data set
  • data sparseness
  • dictionaries
  • dictionary
  • dictionary entry
  • disambiguation system
  • distribution
  • dutch
  • entropy
  • entropy models
  • error rate
  • estimation
  • events
  • fact
  • feature
  • feature vectors
  • feature weights
  • gaussian prior
  • hypothesis
  • inflected form
  • inflected forms
  • knowledge
  • labeled training data
  • lemma
  • lexical database
  • likelihood
  • linguistic
  • linguistic features
  • linguistic information
  • linguistic knowledge
  • local context
  • maximum entropy models
  • meaning
  • method
  • ontology
  • pos information
  • pos tag
  • probabilities
  • probability
  • probability distribution
  • probability distributions
  • procedure
  • semantic
  • senseval-2 data set
  • sentence
  • sentences
  • sources of information
  • statistical model
  • stem
  • suffix
  • tag set
  • tags
  • technique
  • test data
  • tokens
  • training
  • training corpus
  • training data
  • training material
  • uniform distribution
  • verb
  • word
  • word sense
  • word senses
  • wordform
  • wordform model
  • wordform-based model
  • wordnet
  • words
  • wsd model

Extracted Section Types:


This page last edited on 10 May 2017.

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