ACL RD-TEC 1.0 Summarization of W99-0635

Paper Title:
CORPUS-BASED APPROACH FOR NOMINAL COMPOUND ANALYSIS FOR KOREAN BASED ON LINGUISTIC AND STATISTICAL INFORMATION

Authors: Juntae Yoon and Key-Sun Choi and Mansuk Song

Other assigned terms:

  • adjective
  • adverb
  • ambiguity
  • approach
  • association relation
  • association strength
  • association table
  • case
  • co-occurrence
  • co-occurrences
  • complement-predicate relation
  • composition
  • compound noun
  • compounds
  • computational models
  • concept
  • culture
  • data sparseness
  • data sparseness problem
  • dependency model
  • dependency relation
  • derivation
  • document
  • events
  • experimental results
  • fact
  • generative syntax
  • grammatical relation
  • index
  • interpretation
  • kaist corpus
  • knowledge
  • lexical association
  • lexical co-occurrence
  • lexical information
  • lexical knowledge
  • linguistic
  • linguistic knowledge
  • linguistic phenomenon
  • linguists
  • meaning
  • measures
  • method
  • natural language
  • nominal compound
  • nominals
  • norm
  • noun phrase
  • nouns
  • parsing model
  • parsing process
  • phrase
  • phrase structure
  • precision
  • predicate-argument
  • predicates
  • predicative noun
  • process
  • relation
  • semantic
  • semantic category
  • semantic class
  • semantic classes
  • semantic composition
  • semantic constraints
  • semantic interpretation
  • semantic knowledge
  • semantic relation
  • semantic relations
  • sense ambiguity
  • sentence
  • sparseness problem
  • statistical information
  • statistical knowledge
  • structural ambiguity
  • structural information
  • suffix
  • syntactic categories
  • syntactic category
  • syntactic constraints
  • syntactic information
  • syntactic knowledge
  • syntactic level
  • syntactic relation
  • syntactic relations
  • syntactic tree
  • syntax
  • text
  • thesaurus
  • tree
  • verb
  • word
  • word classes
  • word co-occurrence
  • word corpus
  • word sense
  • word sense ambiguity
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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