ACL RD-TEC 1.0 Summarization of P04-1038

Paper Title:
CHINESE VERB SENSE DISCRIMINATION USING AN EM CLUSTERING MODEL WITH RICH LINGUISTIC FEATURES

Authors: Jinying Chen and Martha Palmer

Other assigned terms:

  • ambiguous words
  • annotated corpora
  • approach
  • case
  • chinese nouns
  • chinese treebank
  • classification accuracy
  • cluster
  • clustering model
  • clusters
  • co-occurrence
  • co-reference
  • coherence
  • compounds
  • conditional probability
  • contextual information
  • corpora
  • corpus evidence
  • dictionaries
  • dictionary
  • dictionary entries
  • distribution
  • document
  • english verbs
  • entropy
  • experimental results
  • external knowledge
  • fact
  • feature
  • feature set
  • hownet
  • implementation
  • joint probability
  • knowledge
  • labeling
  • lexical choice
  • lexical features
  • lexical set
  • lexicon
  • linguistic
  • linguistic features
  • mapping
  • mappings
  • meaning
  • meanings
  • measure
  • measures
  • modern chinese-english dictionary
  • mutual information
  • nlp tasks
  • nouns
  • opinions
  • parsing information
  • particle
  • parts of speech
  • penn chinese treebank
  • perplexity
  • polysemous words
  • pos tag
  • predicate-argument
  • predicate-argument structure
  • preposition
  • probabilistic model
  • probability
  • relation
  • seed
  • seed words
  • semantic
  • semantic categories
  • semantic category
  • semantic classes
  • semantic features
  • semantic taxonomy
  • sense distinctions
  • sense-tagged corpora
  • sense-tagged corpus
  • sentence
  • sentences
  • sentential complements
  • sparse data
  • standard deviation
  • tags
  • target verb
  • taxonomy
  • test data
  • text
  • training
  • training and test data
  • training data
  • treebank
  • unannotated corpora
  • unannotated corpus
  • unannotated text
  • verb
  • verb sense
  • verb senses
  • word
  • word sense
  • wordnet
  • words
  • wsd model

Extracted Section Types:


This page last edited on 10 May 2017.

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