ACL RD-TEC 1.0 Summarization of W04-1018
Paper Title:
CHINESE TEXT SUMMARIZATION BASED ON THEMATIC AREA DETECTION
CHINESE TEXT SUMMARIZATION BASED ON THEMATIC AREA DETECTION
Authors: Po Hu and Tingting He and Donghong Ji
Primarily assigned technology terms:
- algorithm
- analysis method
- automatic summarization
- clustering
- clustering algorithm
- clustering analysis
- clustering method
- discourse structure analysis
- distance calculation
- extraction technology
- hierarchical clustering
- information retrieval
- information retrieval technology
- k-means
- k-means clustering
- k-medoids method
- knowledge engineering
- knowledge engineering technology
- language processing
- language processing technology
- learning
- learning methods
- machine learning
- machine learning methods
- natural language processing
- paragraph clustering
- pattern recognition
- pre-processing
- processing
- processing technology
- recognition
- redundancy evaluation
- retrieval technology
- segmentation
- sentence-extraction
- sentence-extraction summarization
- sentence-generation
- structure analysis
- summarization
- summarization method
- summarization system
- term extraction
- text summarization
- unsupervised method
- vector distance calculation
- vector representation
- vector space model
- word segmentation
Other assigned terms:
- approach
- automatic summarization research
- chinese corpus
- chinese text
- cluster
- clusters
- corpora
- discourse
- discourse structure
- distribution
- document
- entropy
- euclidean distance
- evaluation methodology
- experimental results
- feature
- formal description
- knowledge
- meaning
- measures
- metadata
- method
- methodology
- mutual information
- natural language
- noise
- paragraph
- paragraphs
- process
- semantic
- semantic similarity
- sentence
- sentences
- statistical model
- statistics
- style
- summarization redundancy evaluation
- technology
- term
- term bank
- terms
- text
- text documents
- tf \* idf
- thematic structure
- thesaurus
- user
- vector space
- word
- words
