ACL RD-TEC 1.0 Summarization of W06-0130
Paper Title:
CHINESE NAMED ENTITY RECOGNITION WITH CONDITIONAL PROBABILISTIC MODELS
CHINESE NAMED ENTITY RECOGNITION WITH CONDITIONAL PROBABILISTIC MODELS
Authors: Aitao Chen and Fuchun Peng and Roy Shan and Gordon Sun
Primarily assigned technology terms:
- algorithm
- c + +
- character clustering
- chinese information processing
- chinese language processing
- chinese named entity recognition
- classifier
- clustering
- computational linguistics
- conditional random field
- conditional random fields
- crfs
- decoding
- distributional word clustering
- dynamic programming
- entity recognition
- entity recognizer
- entity recognizers
- entropy classifier
- forward-backward algorithm
- information processing
- language processing
- maxent
- maximum entropy
- maximum entropy classifier
- maximum entropy model
- modeling
- name recognition
- named entity recognition
- named entity recognizer
- optimization
- person name recognition
- post-processing
- postprocessing
- processing
- recognition
- recognizer
- segmentation
- sequence decoding
- sequence modeling
- word clustering
- word segmentation
- word-based approach
Other assigned terms:
- approach
- association for computational linguistics
- bigram
- case
- characters
- chinese language
- cluster
- confusion matrix
- crf model
- data set
- dictionary
- entity type
- entity types
- entropy
- entropy models
- f-score
- feature
- implementation
- labeling
- language processing tasks
- linguistics
- location name
- maximum entropy models
- modeling problem
- named entities
- named entity
- names
- organization names
- person names
- precision
- probabilistic models
- processing tasks
- sentence
- sentences
- sequence modeling problem
- tags
- testing data
- text
- theory
- training
- training data
- unigram
- window size
- word
- words
