ACL RD-TEC 1.0 Summarization of W00-0701

Paper Title:
LEARNING IN NATURAL LANGUAGE: THEORY AND ALGORITHMIC APPROACHES

Other assigned terms:

  • ambiguity
  • approach
  • case
  • concept
  • concepts
  • conditional probabilities
  • density function
  • dimensionality
  • distribution
  • entropy
  • estimation
  • feature
  • feature space
  • generation
  • generative model
  • generative models
  • generative probability
  • hypotheses
  • hypothesis
  • inductive logic
  • inferences
  • knowledge
  • language data
  • language models
  • learnability
  • linear structure
  • logic
  • markov models
  • maximum entropy principle
  • method
  • n-gram
  • n-grams
  • natural language
  • nlp applications
  • oracle
  • partof-speech
  • phrase
  • phrase attachment
  • phrase structure
  • pos information
  • pos tag
  • predicates
  • prepositional phrase
  • prepositional phrase attachment
  • prior probability
  • probabilistic model
  • probabilities
  • probability
  • probability density
  • probability density function
  • process
  • queries
  • query
  • representations
  • semantic
  • sentence
  • sentences
  • snow architecture
  • sparse feature space
  • statistics
  • structure of the sentence
  • subsumption
  • support vector
  • svms
  • tags
  • term
  • terms
  • test data
  • theorem
  • theory
  • tokens
  • training
  • training and test data
  • training data
  • training examples
  • training set
  • transformation
  • understanding
  • word
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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