ACL RD-TEC 1.0 Summarization of C02-1085
Paper Title:
DETECTING SHIFTS IN NEWS STORIES FOR PARAGRAPH EXTRACTION
DETECTING SHIFTS IN NEWS STORIES FOR PARAGRAPH EXTRACTION
Authors: Fumiyo Fukumoto and Yoshimi Suzuki
Primarily assigned technology terms:
- algorithm
- binary classification
- classification
- classifier
- classifiers
- collapsing
- document summarization
- entity extraction
- event tracking
- extraction method
- learning
- learning technique
- learning techniques
- machine learning
- multi-class classification
- multi-document summarization
- named entity extraction
- optimization
- paragraph extraction
- part-of-speech tagger
- quantitative evaluation
- scoring
- searching
- sentence extraction
- single document summarization
- statistical techniques
- summarization
- supervised learning
- supervised learning technique
- tagger
- tdt evaluation
- tdt tracking
- tuning
- validation
Other assigned terms:
- approach
- case
- citation
- classification model
- classification problem
- corpora
- distribution
- document
- document vectors
- evaluation measure
- events
- feature
- human intervention
- hypotheses
- hypothesis
- measure
- method
- multi-class classification problem
- named entity
- nouns
- optimization problem
- paragraph
- paragraphs
- part-of-speech
- precision
- procedure
- process
- reuters corpus
- sentence
- summarization task
- support vector
- svms
- technique
- term
- term frequency
- test data
- test set
- training
- training and test data
- training corpus
- training data
- training document
- training documents
- training example
- training examples
- training set
- vector space
- window size
- word
- word distribution
- wordnet
- words
