ACL RD-TEC 1.0 Summarization of C04-1179

Paper Title:
FRAMENET-BASED SEMANTIC PARSING USING MAXIMUM ENTROPY MODELS

Authors: Namhee Kwon and Michael Fleischman and Eduard Hovy

Other assigned terms:

  • approach
  • class information
  • classification performance
  • classification problem
  • conceptual structures
  • conditional probabilities
  • convergence
  • data set
  • development set
  • distribution
  • entropy
  • entropy models
  • f-score
  • feature
  • feature set
  • feature sets
  • feature vector
  • feature weights
  • frame
  • frame element
  • frame semantics
  • framenet
  • framenet project
  • governing category
  • grammatical function
  • head word
  • heuristic
  • hypotheses
  • interpretation
  • labeling
  • lexical item
  • linguistics
  • log-linear models
  • maps
  • maximum entropy models
  • method
  • noun phrase
  • nouns
  • ontology
  • parse
  • parse tree
  • parsing accuracy
  • part of speech
  • phrase
  • phrase type
  • precision
  • predicates
  • prepositional phrase
  • probabilistic models
  • probabilities
  • probability
  • process
  • proper noun
  • re-ranking performance
  • role labeling
  • segments
  • semantic
  • semantic features
  • semantic role
  • semantic roles
  • sentence
  • sentence level
  • sentences
  • speech tag
  • standard deviation
  • surface form
  • syntactic features
  • syntactic head
  • syntactic parse
  • syntactic parse tree
  • syntactic pattern
  • syntactic patterns
  • syntactic phrase
  • tag sequence
  • target word
  • test set
  • training
  • tree
  • user
  • word
  • words
  • yasmet me package

Extracted Section Types:


This page last edited on 10 May 2017.

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