ACL RD-TEC 1.0 Summarization of P02-1057
Paper Title:
A NOISY-CHANNEL MODEL FOR DOCUMENT COMPRESSION
A NOISY-CHANNEL MODEL FOR DOCUMENT COMPRESSION
Authors: Hal Daume III and Daniel Marcu
Primarily assigned technology terms:
- algorithm
- computational linguistics
- decoder
- discourse expansion process
- discourse parser
- document summarization
- exhaustive search
- extractor
- identification
- length normalization
- maximum likelihood
- modelling
- noisy-channel model
- normalization
- parser
- parsers
- parsing
- ranking
- ranking system
- relation tagging
- repair
- search
- sentence simplification
- sentence-simplification
- single document summarization
- summarization
- summarization systems
- summarizer
- tagging
Other assigned terms:
- anaphors
- annotation
- annotation process
- annotators
- approach
- background information
- bigram
- case
- coherence
- cohesion
- context free grammar
- contrast relation
- corpora
- discourse
- discourse constituent
- discourse knowledge
- discourse models
- discourse structure
- discourse structures
- discourse tree
- discourse unit
- discourse units
- document
- document length
- evaluations
- forest
- genre
- governor
- grammar
- grammaticality
- hierarchical model
- human annotators
- human performance
- knowledge
- large corpora
- likelihood
- linguistics
- meaning
- measure
- message
- noise
- nucleus
- pcfg
- penn treebank
- phrase
- posterior
- posterior probability
- prepositional phrase
- probabilities
- probability
- probability distributions
- process
- projection
- relation
- representations
- rhetorical relation
- rhetorical structure
- rhetorical structure theory
- rst tree
- sentence
- sentence level
- sentences
- style
- syntactic constituent
- syntactic constituents
- syntactic structure
- syntactic structures
- syntactic tree
- syntax
- text
- text genre
- theory
- tree
- tree structure
- treebank
- trees
- trigram
- user
- verb
- verb arguments
- word
- words
- wsj corpus
