ACL RD-TEC 1.0 Summarization of C04-1004
Paper Title:
DISCRIMINATIVE HIDDEN MARKOV MODELING WITH LONG STATE DEPENDENCE USING A KNN ENSEMBLE
DISCRIMINATIVE HIDDEN MARKOV MODELING WITH LONG STATE DEPENDENCE USING A KNN ENSEMBLE
Primarily assigned technology terms:
- algorithm
- back-off modeling
- bagging
- bootstrap
- capitalization
- classification
- classifier
- classifiers
- conditional random fields
- decoding
- disambiguation
- discriminative approach
- discriminative hmms
- entity recognition
- entropy classifier
- estimator
- final state
- full parsing
- hidden markov
- hidden markov model
- hidden markov modeling
- hidden markov models
- hmms
- information modeling
- information-based modeling
- k-nn
- knn
- linear interpolation
- markov model
- markov modeling
- maximum entropy
- maximum entropy classifier
- modeling
- mutual information modeling
- named entity recognition
- nearest neighbors
- ngram modeling
- nlp
- parsing
- re-sampling
- recognition
- sense disambiguation
- shallow parsing
- tagging
- variable-length mutual information modeling
- word sense disambiguation
Other assigned terms:
- approach
- bias
- bigram
- chunks
- classification problem
- conditional probability
- conditional probability model
- cosine similarity
- data sets
- dictionary
- distribution
- entropy
- estimation
- evaluations
- experimental results
- f-measure
- finite set
- independence assumption
- information independence
- information model
- information sources
- interpolation
- joint probability
- joint probability model
- likelihood
- markov models
- measure
- measures
- method
- mutual information
- mutual information independence
- named entity
- ngram
- nlp tasks
- part-of-speech
- penn treebank
- phrase
- phrase category
- precision
- probabilities
- probability
- probability distribution
- probability distributions
- probability model
- segments
- sentence
- state transition model
- tags
- technique
- term
- terms
- training
- training corpus
- training data
- training set
- treebank
- trigram
- word
- word sense
- word sequence
- words
