ACL RD-TEC 1.0 Summarization of P02-1047
Paper Title:
AN UNSUPERVISED APPROACH TO RECOGNIZING DISCOURSE RELATIONS
AN UNSUPERVISED APPROACH TO RECOGNIZING DISCOURSE RELATIONS
Authors: Daniel Marcu and Abdessamad Echihabi
Primarily assigned technology terms:
- binary classifier
- classification
- classifier
- classifiers
- computational linguistics
- discourse labeler
- discourse relation classification
- knowledge bases
- labeler
- learning
- machine learning
- maximum likelihood
- multidocument summarization
- naive bayes
- naive bayes classifiers
- nlp
- parsers
- question-answering
- reasoning
- recognizer
- relation classification
- summarization
- unsupervised approach
Other assigned terms:
- annotated corpus
- annotator
- approach
- background knowledge
- case
- concession
- contrast relation
- corpora
- cue phrase
- cue phrases
- data consortium
- discourse
- discourse function
- discourse markers
- discourse model
- discourse relation
- discourse relations
- discourse units
- document
- extraction patterns
- generation
- human annotator
- hypothesis
- inferences
- keyword
- knowledge
- labeling
- lexical item
- lexical items
- likelihood
- linguistic
- linguistic data
- linguistic data consortium
- linguistics
- method
- noise
- nouns
- phrase
- polarity
- probabilistic framework
- propositional content
- punctuation
- punctuation marks
- queries
- relation
- rhetorical structure
- semantic
- semantic and pragmatic
- semantic relations
- sentence
- sentence pair
- sentences
- signal
- style
- symbols
- taxonomy
- test corpus
- text
- theoretical framework
- theories
- theory
- training
- training corpora
- training data
- training examples
- training material
- trees
- word
- word pair
- wordnet
- words
