ACL RD-TEC 1.0 Summarization of W06-0110
Paper Title:
HYBRID MODELS FOR CHINESE NAMED ENTITY RECOGNITION
HYBRID MODELS FOR CHINESE NAMED ENTITY RECOGNITION
Authors: Lishuang Li and Tingting Mao and Degen Huang and Yuansheng Yang
Primarily assigned technology terms:
- algorithm
- analyzer
- binary classification
- chinese language processing
- chinese named entity recognition
- chunker
- classification
- classifier
- classifiers
- computational linguistics
- entity recognition
- error identification
- features extraction
- identification
- identification process
- kernel
- language processing
- learning
- learning algorithm
- lexical analysis
- lexical analyzer
- named entity recognition
- optimization
- polynomial kernel
- processing
- quadratic programming
- recognition
- risk minimization
- segmentation
- statistical method
- statistical methods
- support vector machines
- voting
- word segmentation
Other assigned terms:
- association for computational linguistics
- bias
- bigram
- binary classification task
- break
- case
- characters
- chinese language
- chinese lexical
- chunk
- chunks
- classification task
- contextual information
- experimental results
- f-measure
- fact
- feature
- feature space
- feature vector
- hypothesis
- hypothesis space
- index
- kernel function
- linguistics
- location name
- mapping
- method
- named entities
- named entity
- names
- open test
- part-of-speech
- person names
- phrase
- pos tag
- positive and negative examples
- precision
- probability
- procedure
- process
- sentence
- sentences
- statistical model
- statistical models
- support vector
- surface form
- svms
- tags
- testing corpus
- testing set
- theory
- training
- training corpus
- training data
- training examples
- training samples
- training set
- verb
- word
- words
