ACL RD-TEC 1.0 Summarization of W01-1011

Paper Title:
GIST-IT: COMBINING LINGUISTIC AND MACHINE LEARNING TECHNIQUES FOR EMAIL SUMMARIZATION

Authors: Evelyne Tzoukermann and Smaranda Muresan and Judith L. Klavans

Other assigned terms:

  • affix
  • approach
  • bias
  • brown corpus
  • case
  • characters
  • classification model
  • classification task
  • corpora
  • data set
  • determiners
  • document
  • document content
  • email
  • email message
  • experimental results
  • extraction problem
  • fact
  • feature
  • feature vector
  • feature vectors
  • forest
  • genre
  • gold standard
  • heuristics
  • hypothesis
  • inflection
  • information gain
  • key phrase
  • knowledge
  • lexicon
  • linguistic
  • linguistic approach
  • linguistic intuition
  • linguistic knowledge
  • meaning
  • measure
  • measures
  • message
  • metadata
  • method
  • modifier
  • n-gram
  • n-grams
  • nlp applications
  • nlp tasks
  • noise
  • normalization factor
  • noun phrase
  • noun phrase length
  • noun phrases
  • nouns
  • opinion
  • paragraph
  • paragraphs
  • phrase
  • phrase meaning
  • phrase structure
  • precision
  • preposition
  • prepositional phrases
  • preprocessor
  • probabilistic models
  • process
  • query
  • relation
  • retrieval task
  • semantic
  • semantic content
  • sentence
  • sentence level
  • sentences
  • sparse data
  • summarization task
  • syntactic constituents
  • syntactic head
  • synthesized speech
  • system architecture
  • system performance
  • tagger lexicon
  • technique
  • technology
  • terms
  • testing set
  • text
  • text type
  • tf \* idf
  • topics
  • training
  • training data
  • training phase
  • training set
  • tree
  • trees
  • user
  • verb
  • web documents
  • web pages
  • word
  • word sense
  • words

Extracted Section Types:


This page last edited on 10 May 2017.

*** ***