ACL RD-TEC 1.0 Summarization of H05-1105

Paper Title:
USING THE WEB AS AN IMPLICIT TRAINING SET: APPLICATION TO STRUCTURAL AMBIGUITY RESOLUTION

Authors: Preslav Nakov and Marti Hearst

Other assigned terms:

  • adjective
  • adverb
  • ambiguity
  • approach
  • association for computational linguistics
  • back-off model
  • benchmark
  • bigram
  • british national corpus
  • case
  • characters
  • co-occurrence
  • co-occurrence statistics
  • collocation
  • conceptual association
  • conjunct
  • coordination conjunction
  • corpora
  • data sparseness
  • data sparseness problem
  • determiner
  • determiners
  • distributional information
  • ellipsis
  • entropy
  • events
  • fact
  • feature
  • head noun
  • head word
  • heuristic
  • heuristics
  • human performance
  • inflected forms
  • information sources
  • labeled training data
  • labeling
  • large corpora
  • large corpus
  • lexical items
  • linguistics
  • local context
  • meaning
  • method
  • modifier
  • mutual information
  • n-gram
  • n-gram model
  • n-gram models
  • n-grams
  • natural language
  • nlp tasks
  • noun phrase
  • nouns
  • number agreement
  • ontologies
  • paraphrase
  • paraphrases
  • parsed corpus
  • part-of-speech
  • part-of-speech tags
  • penn treebank
  • phrase
  • phrase attachment
  • pp-attachment
  • pp-attachment ambiguity
  • precision
  • preposition
  • prepositional phrase
  • prepositional phrase attachment
  • prepositional phrases
  • priori
  • probabilities
  • pronoun
  • pronouns
  • punctuation
  • queries
  • query
  • relation
  • semantic
  • semantic classes
  • sentence
  • sentences
  • signal
  • sparseness problem
  • statistics
  • structural ambiguity
  • surface pattern
  • symbol
  • symbols
  • synsets
  • tags
  • taxonomy
  • technique
  • technology
  • terms
  • test set
  • text
  • text corpus
  • thesaurus
  • training
  • training data
  • training set
  • tree
  • treebank
  • trees
  • understanding
  • verb
  • verb attachment
  • wildcard
  • word
  • word classes
  • word sequences
  • word-net
  • wordnet
  • wordnet synsets
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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