ACL RD-TEC 1.0 Summarization of W04-0858
Paper Title:
WORD SENSE DISAMBIGUATION BY WEB MINING FOR WORD CO-OCCURRENCE PROBABILITIES
WORD SENSE DISAMBIGUATION BY WEB MINING FOR WORD CO-OCCURRENCE PROBABILITIES
Primarily assigned technology terms:
- bagging
- classical supervised machine learning
- classifiers
- computational linguistics
- computer science
- crawler
- disambiguation
- estimator
- exact matching
- information retrieval
- laplace smoothing
- learning
- machine learning
- machine learning software
- matching
- meta-learning
- mining
- normalization
- part-of-speech tagger
- postprocessing
- preprocessing
- rule-based tagger
- scoring
- semantic analysis
- sense disambiguation
- smoothing
- supervised learning
- supervised machine learning
- tagger
- voting
- web mining
- weka
- word sense disambiguation
Other assigned terms:
- adjective
- ambiguous words
- approach
- association for computational linguistics
- binary feature
- case
- characters
- co-occurrence
- community
- experimental results
- feature
- feature set
- feature space
- feature value
- feature vector
- feature vectors
- head word
- hypothesis
- learning problem
- lexicon
- linguistics
- meaning
- method
- mutual information
- names
- nouns
- paragraph
- part-of-speech
- part-of-speech tag
- part-of-speech tags
- plural noun
- pointwise mutual information
- probabilities
- probability
- proper noun
- queries
- semantic
- semantic feature
- semantic features
- semantic similarity
- sentence
- sentence boundaries
- sentences
- singular noun
- syntactic feature
- syntactic features
- system description
- system design
- system performance
- tagged text
- tags
- text
- training
- training data
- training examples
- unlabeled text
- vector space
- verb
- word
- word co-occurrence
- word model
- word sense
- words
