ACL RD-TEC 1.0 Summarization of W06-2602

Paper Title:
CONSTRAINT SATISFACTION INFERENCE: NON-PROBABILISTIC GLOBAL INFERENCE FOR SEQUENCE LABELLING

Authors: Sander Canisius and Antal van den Bosch and Walter Daelemans

Other assigned terms:

  • annotation
  • approach
  • benchmark
  • break
  • case
  • chunk
  • chunks
  • class distribution
  • compounding
  • concept
  • concepts
  • confidence score
  • constraint satisfaction
  • constraint satisfaction problem
  • correlation
  • data set
  • derivation
  • disambiguation task
  • distance metric
  • distribution
  • dutch
  • evaluation set
  • f-score
  • fact
  • feature
  • feature weights
  • finite set
  • generalisation
  • genia
  • genia corpus
  • inference approach
  • inflection
  • knowledge
  • labeling
  • lexical data base
  • likelihood
  • mapping
  • mappings
  • maps
  • markov models
  • medline
  • method
  • morphemes
  • named entities
  • named entity
  • named-entity
  • names
  • natural language
  • natural-language
  • oracle
  • part-of-speech
  • part-of-speech tags
  • penn treebank
  • phoneme
  • phonemes
  • phrase
  • probability
  • probability distribution
  • procedure
  • process
  • processing tasks
  • relation
  • reuters corpus
  • semantic
  • sentence
  • sentences
  • similarity metric
  • syntax
  • tags
  • technique
  • test set
  • text
  • tokens
  • training
  • training data
  • training examples
  • training set
  • training time
  • treebank
  • trigram
  • unigram
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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