ACL RD-TEC 1.0 Summarization of P96-1006
Paper Title:
INTEGRATING MULTIPLE KNOWLEDGE SOURCES TO DISAMBIGUATE WORD SENSE: AN EXEMPLAR-BASED APPROACH
INTEGRATING MULTIPLE KNOWLEDGE SOURCES TO DISAMBIGUATE WORD SENSE: AN EXEMPLAR-BASED APPROACH
Authors: Hwee Tou Ng and Hian Beng Lee
Primarily assigned technology terms:
- accent restoration
- acquisition process
- algorithm
- analyzer
- assignment method
- classification
- classifier
- classifiers
- disambiguation
- exemplar-based learning
- knowledge acquisition
- knowledge acquisition process
- learning
- learning algorithm
- learning procedure
- machine learning
- morphological analyzer
- neural networks
- nlp
- probabilistic classifier
- processing
- quantitative evaluation
- random selection
- reformatting
- sense disambiguation
- sense tagging
- sense-tagging
- supervised learning
- taggers
- tagging
- unsupervised learning
- word sense disambiguation
Other assigned terms:
- accent
- adjective
- adverb
- ambiguous words
- approach
- baseline performance
- brown corpus
- classification accuracy
- collocation
- community
- concept
- concept activation
- contemporary english
- content words
- corpora
- data set
- data sets
- dictionary
- distribution
- english text
- fact
- feature
- heuristic
- human judgments
- inflected forms
- knowledge
- large corpus
- ldoce
- linguistics
- linguists
- machine-readable dictionary
- manual tagging
- mathematics
- method
- morphological form
- noun groups
- nouns
- part of speech
- parts of speech
- procedure
- process
- relation
- scalability
- semcor
- sense definition
- sense distinction
- sense distinctions
- sense-tagged corpus
- senses of a word
- sentence
- sentences
- standard deviation
- syntactic relation
- tags
- test data
- test data set
- test set
- text
- training
- training data
- training data set
- verb
- verb senses
- wall street journal corpus
- word
- word sense
- word senses
- wordnet
- words
- wsj corpus
