ACL RD-TEC 1.0 Summarization of P06-2103

Paper Title:
DISCOURSE GENERATION USING UTILITY-TRAINED COHERENCE MODELS

Authors: Radu Soricut and Daniel Marcu

Other assigned terms:

  • alphabet
  • annotated corpora
  • annotation
  • association for computational linguistics
  • beam
  • bigram
  • bleu
  • bleu scores
  • case
  • centering theory
  • coherence
  • coherence model
  • concession
  • coreference information
  • corpora
  • development set
  • discourse
  • discourse coherence
  • discourse connective
  • discourse entities
  • discourse unit
  • discourse units
  • disjunction
  • distribution
  • document
  • document coherence
  • document content
  • entity-based coherence
  • events
  • fact
  • feature
  • formalism
  • generation
  • geometric mean
  • heuristic
  • histogram
  • human intervention
  • hypotheses
  • hypothesis
  • ibm model
  • ibm models
  • index
  • lexical level
  • linguistics
  • local coherence
  • log-linear combination
  • log-linear model
  • log-linear models
  • machine-generated text
  • measure
  • measures
  • model parameter
  • modeling problem
  • names
  • occurrence frequency
  • performance evaluation
  • portability
  • probabilities
  • probability
  • procedure
  • proper names
  • relation
  • reordering
  • representations
  • run-time
  • scalability
  • search procedure
  • sentence
  • sentences
  • source language
  • source language sentence
  • subgraph
  • summarization problem
  • symbols
  • syntax
  • target language
  • term
  • terms
  • test data
  • text
  • textual units
  • theories
  • theory
  • tokens
  • topics
  • training
  • training and test data
  • training documents
  • training instance
  • translation models
  • trigram
  • unigram
  • vertex
  • word
  • word usage
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

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