ACL RD-TEC 1.0 Summarization of I05-2045
Paper Title:
UNSUPERVISED FEATURE SELECTION FOR RELATION EXTRACTION
UNSUPERVISED FEATURE SELECTION FOR RELATION EXTRACTION
Authors: Jinxiu Chen and Donghong Ji and Chew Lim Tan and Zhengyu Niu
Primarily assigned technology terms:
- algorithm
- bootstrap
- category matching
- classification
- cluster validation
- clustering
- clustering analysis
- clustering method
- context clustering
- document classification
- extraction algorithm
- extraction system
- feature identification
- feature ranking
- feature selection
- feature subset selection
- grouping
- hierarchical clustering
- hmms
- identification
- k-means
- k-means clustering
- kernels
- learning
- mapping function
- matching
- model order identification
- model selection
- model selection algorithm
- one-to-one mapping
- predictor
- ranking
- relation extraction
- resampling
- sampling
- search
- searching
- selection algorithm
- splitting
- supervised learning
- tagging
- unsupervised approach
- unsupervised feature selection
- unsupervised learning
- unsupervised method
- unsupervised relation extraction
- validation
Other assigned terms:
- approach
- bias
- british national corpus
- case
- cluster
- cluster number
- clustering procedure
- clusters
- co-occurrences
- concepts
- context vectors
- context window
- context window size
- contingency table
- corpora
- data set
- distribution
- document
- entropy
- estimation
- euclidean distance
- evaluation measure
- evaluation method
- experimental results
- feature
- feature list
- feature set
- feature space
- heuristic
- index
- information content
- labeling
- large text corpora
- local context
- mapping
- measure
- measures
- method
- names
- permutation
- procedure
- relation
- similarity threshold
- tags
- term
- text
- text corpora
- training
- training data
- window size
- word
- wordnet
- words
