ACL RD-TEC 1.0 Summarization of C96-1041
Paper Title:
MARKOV RANDOM FIELD BASED ENGLISH PART-OF-SPEECH TAGGING SYSTEM
MARKOV RANDOM FIELD BASED ENGLISH PART-OF-SPEECH TAGGING SYSTEM
Authors: Sung-Young Jung and Young C. Park and Key-Sun Choi and Youngwhan Kim
Primarily assigned technology terms:
- algorithm
- error correction
- estimation method
- forward-backward algorithm
- generalized iterative scaling
- iterative algorithm
- iterative scaling
- language processing
- linear interpolation
- markov random field
- maximum entropy
- natural language processing
- optimization
- parameter estimation
- part-of-speech tagging
- processing
- search
- simulated annealing
- smoothing
- statistical tagging
- tagger
- tagging
- tile
- viterbi
- weighting
Other assigned terms:
- approach
- bigram
- characters
- concept
- data sparseness
- data sparseness problem
- distribution
- entropy
- error rate
- estimation
- events
- experimental results
- fact
- feature
- frame
- heterogeneous information
- information sources
- interpolation
- knowledge
- local context
- method
- natural language
- part-of-speech
- particles
- posterior
- posteriori probability
- priori
- probabilistic models
- probabilities
- probability
- probability distribution
- probability value
- process
- relation
- search space
- sentence
- sparseness problem
- statistical information
- statistical models
- suffix
- tag sequence
- tagging model
- tagging problem
- tags
- training
- training data
- trigram
- unigram
- word
- word level
- words
- words sequence
