ACL RD-TEC 1.0 Summarization of P00-1015
Paper Title:
A UNIFIED STATISTICAL MODEL FOR THE IDENTIFICATION OF ENGLISH BASENP
A UNIFIED STATISTICAL MODEL FOR THE IDENTIFICATION OF ENGLISH BASENP
Authors: Endong Xun and Changning Huang and Ming Zhou
Primarily assigned technology terms:
- algorithm
- basenp identification
- basenp recognition
- chunker
- clustering
- error driven pruning
- error-driven algorithm
- hidden markov
- hidden markov model
- identification
- information retrieval
- language processing
- learning
- learning method
- machine translation
- markov model
- matching
- natural language processing
- normalization
- parameter estimation
- parameter smoothing
- parameter training
- parsing
- partial parsing
- pos tagging
- pos-tagging
- pre-processing
- preprocessing
- processing
- pruning
- pruning method
- recognition
- rule pruning
- search
- searching
- smoothing
- tagging
- tagging procedure
- tagging process
- viterbi
- viterbi algorithm
- viterbi search
Other assigned terms:
- approach
- base noun
- base noun phrase
- basenp
- case
- cluster
- coefficient
- computational complexity
- english basenp
- english text
- estimation
- f-measure
- generation
- knowledge
- language processing applications
- lattice
- lexical information
- likelihood
- linear complexity
- method
- natural language
- natural language processing applications
- noun phrase
- part-of-speech
- part-of-speech tags
- penn treebank
- phrase
- pos sequence
- pos tag
- precision
- probabilities
- probability
- procedure
- process
- search procedure
- search space
- sentence
- sentence level
- statistical approach
- statistical framework
- statistical model
- tag set
- tags
- test corpus
- testing data
- testing set
- text
- topics
- training
- training and testing data
- training corpus
- training data
- training examples
- training set
- transformation
- transformation rules
- transition probability
- treebank
- trigram
- trigram model
- word
- word sequence
- words
