ACL RD-TEC 1.0 Summarization of C04-1057

Paper Title:
A FORMAL MODEL FOR INFORMATION SELECTION IN MULTI-SENTENCE TEXT EXTRACTION

Authors: Elena Filatova and Vasileios Hatzivassiloglou

Other assigned terms:

  • advanced question answering
  • approach
  • case
  • cluster
  • clusters
  • co-occurrence
  • concept
  • concepts
  • cue phrases
  • data sets
  • discourse
  • document
  • document set
  • document sets
  • evaluation measure
  • evaluation metric
  • evaluations
  • events
  • extraction paradigm
  • f-measure
  • fact
  • feature
  • finite set
  • formal model
  • formalization
  • generation
  • hypothesis
  • implementation
  • information content
  • input text
  • intelligence
  • language processing tasks
  • lexical features
  • linear combination
  • mapping
  • mappings
  • meaning
  • measure
  • measures
  • method
  • multi-sentence text
  • n-gram
  • named entities
  • names
  • natural language
  • natural language processing tasks
  • nist
  • np-hard problem
  • optimization problem
  • paragraph
  • paragraphs
  • passage
  • precision
  • procedure
  • process
  • processing tasks
  • pronouns
  • question answering research
  • representations
  • schema
  • semantic
  • sentence
  • sentence position
  • sentences
  • similarity score
  • source text
  • statistical framework
  • syntactic constraints
  • text
  • text passage
  • text similarity
  • textual similarity
  • textual unit
  • textual units
  • tf \* idf
  • theoretical computer science
  • understanding
  • verb
  • word
  • word features
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***