ACL RD-TEC 1.0 Summarization of P06-1129

Paper Title:
EXPLORING DISTRIBUTIONAL SIMILARITY BASED MODELS FOR QUERY SPELLING CORRECTION

Authors: Mu Li and Muhua Zhu and Yang Zhang and Ming Zhou

Other assigned terms:

  • annotation
  • annotators
  • approach
  • association for computational linguistics
  • bayesian framework
  • bigram
  • bigram model
  • binary features
  • checker
  • cognitive
  • confusion probability
  • context words
  • cosine distance
  • data set
  • distribution
  • distributional similarity
  • edit distance
  • entropy
  • entropy models
  • error rate
  • estimation
  • euclidean distance
  • evaluation measures
  • experimental results
  • fact
  • feature
  • feature sets
  • feature value
  • feature weights
  • generation
  • generative models
  • heuristic
  • interpolation
  • knowledge
  • language model
  • language model probability
  • levenshtein edit distance
  • lexicon
  • linear combination
  • linguistics
  • maximum entropy models
  • measure
  • measures
  • method
  • model parameter
  • model probability
  • n-best list
  • n-gram
  • natural language
  • part-ofspeech
  • phonetic similarity
  • posterior
  • posterior probability
  • probabilistic model
  • probabilistic models
  • probabilities
  • probability
  • process
  • processing tasks
  • pronunciation
  • queries
  • query
  • query term
  • search query
  • search space
  • semantic
  • semantic knowledge
  • similarity between words
  • similarity measure
  • similarity measures
  • source channel model
  • spelling error
  • statistical language model
  • statistical models
  • statistical sequence
  • statistics
  • synonyms
  • term
  • term frequency
  • terms
  • test set
  • training
  • training data
  • training samples
  • training set
  • training size
  • user
  • vector space
  • vocabulary
  • web query
  • weighted edit distance
  • word
  • word bigram model
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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