ACL RD-TEC 1.0 Summarization of W04-3246

Paper Title:
LEARNING HEBREW ROOTS: MACHINE LEARNING WITH LINGUISTIC CONSTRAINTS

Authors: Ezra Daya and Dan Roth and Shuly Wintner

Other assigned terms:

  • 10-fold cross validation
  • adjective
  • alphabet
  • ambiguity
  • approach
  • case
  • characters
  • classification problem
  • classification task
  • confidence measure
  • confidence scores
  • contextual information
  • data sparseness
  • development set
  • dictionaries
  • dictionary
  • distribution
  • edit distance
  • f-measure
  • f-score
  • fact
  • feature
  • feature set
  • feature space
  • feature types
  • fmeasure
  • human performance
  • inflected form
  • inflectional morphology
  • information sources
  • knowledge
  • learning environment
  • lexeme
  • lexemes
  • lexical items
  • likelihood
  • linguist
  • linguistic
  • linguistic constraints
  • linguistic knowledge
  • linguistics
  • meaning
  • measure
  • measures
  • method
  • methodology
  • morpheme
  • morphemes
  • named entity
  • natural language
  • orthography
  • particle
  • particles
  • pos tagging problem
  • precision
  • predictive power
  • preposition
  • prepositions
  • probabilities
  • probability
  • process
  • ranking candidate
  • semitic languages
  • sequential model
  • slot
  • stem
  • stems
  • substring
  • suffix
  • suffixes
  • tagging problem
  • tags
  • test corpus
  • test data
  • training
  • training corpus
  • training data
  • training set
  • verb
  • word
  • word type
  • word types
  • word-net
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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