ACL RD-TEC 1.0 Summarization of P02-1059
Paper Title:
SUPERVISED RANKING IN OPEN-DOMAIN TEXT SUMMARIZATION
SUPERVISED RANKING IN OPEN-DOMAIN TEXT SUMMARIZATION
Authors: Tadashi Nomoto and Yuji Matsumoto
Primarily assigned technology terms:
- algorithm
- analyzer
- binary decision tree
- classifier
- clustering
- clustering algorithm
- computational linguistics
- coupling
- cross validation
- decision tree
- decision tree algorithm
- decision trees
- document retrieval
- encoding
- japanese morphological analyzer
- k-means
- k-means clustering
- learner
- learning
- learning algorithms
- machine learning
- morphological analyzer
- probabilistic decision tree
- pruning
- ranking
- searching
- sentence extraction
- sentence selection
- smoothing
- splitting
- summarization
- summarizer
- supervised learning
- supervised system
- text summarization
- tree algorithm
- unsupervised approach
- unsupervised learning
- unsupervised method
- unsupervised summarizer
- validation
- vector representation
Other assigned terms:
- 10-fold cross validation
- adjective
- approach
- case
- cluster
- clusters
- discourse
- distance metric
- distribution
- diversity extension
- document
- f-measure
- fact
- feature
- generation
- human judgments
- index
- index terms
- inter-coder agreement
- kanji
- kappa
- knowledge
- leaf
- linguistics
- meaning
- method
- minimum description length
- newspaper corpus
- norm
- paragraph
- paragraphs
- probability
- procedure
- process
- ranking model
- sentence
- sentences
- statistics
- terms
- test corpus
- test data
- test set
- text
- text length
- tokens
- topics
- training
- tree
- tree model
- trees
- user
- verb
