ACL RD-TEC 1.0 Summarization of P98-1029
Paper Title:
CLASSIFIER COMBINATION FOR IMPROVED LEXICAL DISAMBIGUATION
CLASSIFIER COMBINATION FOR IMPROVED LEXICAL DISAMBIGUATION
Authors: Eric Brill and Jun Wu
Primarily assigned technology terms:
- algorithm
- ambiguity resolution
- classifier
- classifier combination
- classifiers
- decision trees
- disambiguation
- error rate reduction
- error reduction
- example-based learning
- language processing
- learning
- learning techniques
- lexical disambiguation
- machine learning
- machine learning techniques
- matching
- maximum entropy
- maximum-entropy
- maximum-entropy tagging
- n-gram tagging
- natural language processing
- part of speech tagging
- predictor
- processing
- rate reduction
- single classifier
- speech tagger
- speech tagging
- tagger
- taggers
- tagging
- tagging method
- transformation-based tagging
- trigram tagger
- unigram tagger
- viterbi
- viterbi algorithm
- voting
Other assigned terms:
- ambiguity
- ambiguous words
- array
- brown corpus
- case
- connectionist
- contextual information
- corpora
- distribution
- entropy
- error rate
- fact
- heuristics
- implementation
- interpolation
- knowledge
- lexicon
- linguistic
- linguistic knowledge
- markov models
- meaning
- measures
- method
- n-gram
- natural language
- oracle
- part of speech
- penn treebank
- probabilistic framework
- probabilities
- probability
- probability estimates
- sentence
- suffix
- tag sequence
- tagged corpora
- tagger combination
- tags
- test data
- test set
- training
- training data
- training set
- treebank
- trees
- trigram
- unigram
- verb
- word
- word sequence
- words
