ACL RD-TEC 1.0 Summarization of C02-1144
Paper Title:
CONCEPT DISCOVERY FROM TEXT
CONCEPT DISCOVERY FROM TEXT
Authors: Dekang Lin and Patrick Pantel
Primarily assigned technology terms:
- algorithm
- clustering
- clustering algorithm
- complete-link clustering
- computing
- concept discovery
- database
- dynamic modeling
- editing
- english parser
- hybrid clustering
- indexing
- k-means
- k-means clustering
- minipar
- modeling
- mutual-information
- parser
- partitional clustering
- ranking
- single-link clustering
- splitting
Other assigned terms:
- approach
- baseline clustering
- cluster
- cluster centroid
- cluster evaluation
- cluster similarity
- clusters
- coefficient
- concept
- concepts
- convergence
- cosine coefficient
- data sets
- entropy
- evaluation measure
- evaluation methodology
- experimental results
- fact
- feature
- feature space
- feature vector
- frequency counts
- hyponym
- hyponyms
- implementation
- lexical resources
- measure
- measures
- methodology
- mutual information
- names
- news corpus
- newspaper corpus
- nouns
- parse
- pointwise mutual information
- precision
- probabilities
- probability
- probability distributions
- procedure
- proper names
- random sample
- recursion
- running time
- semcor
- semcor corpus
- similarity matrix
- similarity threshold
- sparse feature space
- synset
- synsets
- test data
- test set
- text
- time complexity
- transformation
- transformation rules
- word
- word similarity
- wordnet
- wordnet class
- wordnet hierarchy
- words
