ACL RD-TEC 1.0 Summarization of W99-0907
Paper Title:
DETECTING SUB-TOPIC CORRESPONDENCE THROUGH BIPARTITE TERM CLUSTERING
DETECTING SUB-TOPIC CORRESPONDENCE THROUGH BIPARTITE TERM CLUSTERING
Authors: Zvika MARX and Ido DAGAN and Eli SHAMIR
Primarily assigned technology terms:
- agglomerative method
- algorithm
- automated natural language processing
- bipartite clustering
- browser
- classification
- clustering
- clustering algorithm
- clustering method
- coupling
- data retrieval
- document classification
- identification
- indexing
- information technology
- iterative algorithm
- knowledge representation
- knowledge summarization
- language processing
- latent semantic indexing
- learning
- learning framework
- likelihood-based clustering
- mining
- natural language processing
- optimization
- pairwise clustering
- parser
- partitioning
- problem solving
- processing
- quantitative evaluation
- reasoning
- search
- semantic indexing
- similarity evaluation
- simulated annealing
- soft clustering
- summarization
- term clustering
- term coupling
- text mining
- unsupervised learning
Other assigned terms:
- analogy
- approach
- bag of words
- between-cluster similarity
- case
- cluster
- clustering procedure
- clusters
- co-occurrence
- co-occurrence statistics
- cognitive
- concepts
- contour
- document
- document similarity
- evaluation method
- fact
- frame
- human intelligence
- human reader
- human thinking
- intelligence
- intention
- knowledge
- large corpus
- latent semantic
- mapping
- maps
- meaning
- measure
- measures
- method
- natural language
- natural language texts
- nouns
- procedure
- process
- recipe
- representations
- semantic
- set size
- similarity matrix
- similarity measure
- similarity measures
- statistics
- style
- sub-topic correspondence
- taxonomy
- technology
- term
- term co-occurrence
- term similarity
- term subset coupling
- terms
- text
- text similarity
- theories
- theory
- thesaurus
- topics
- user
- vocabulary
- word
- word window
- words
