ACL RD-TEC 1.0 Summarization of W06-0140
Paper Title:
CHINESE NAMED ENTITY RECOGNITION WITH A MULTI-PHASE MODEL
CHINESE NAMED ENTITY RECOGNITION WITH A MULTI-PHASE MODEL
Authors: Junsheng Zhou and Liang He and Xinyu Dai and Jiajun Chen
Primarily assigned technology terms:
- algorithm
- chinese language processing
- chinese named entity recognition
- classification
- computational linguistics
- conditional random fields
- crfs
- disambiguation
- disambiguation problem
- entity recognition
- entity recognition system
- entity tagging
- finite state
- finite state machines
- graphical model
- information extraction
- language processing
- learning
- machine translation
- name entity recognition
- name recognition
- named entity recognition
- named entity tagging
- nlp
- processing
- recognition
- recognition algorithm
- recognition process
- recognition system
- segmentation
- sequence tagging
- summarization
- tagging
- text summarization
- word segmentation
- word segmentation task
Other assigned terms:
- approach
- association for computational linguistics
- case
- character sequence
- characters
- chinese characters
- chinese language
- chinese text
- chinese words
- conditional probability
- conditional probability distribution
- context feature
- context information
- contextual information
- corpora
- crf model
- dictionaries
- distribution
- document
- entity recognition component
- experimental results
- feature
- independence assumption
- labeling
- linguistics
- location name
- markov independence
- method
- mutual information
- name entity
- named entities
- named entity
- names
- nlp applications
- organization names
- person names
- precision
- probability
- probability distribution
- process
- proper noun
- recognition component
- recognition model
- segmentation problem
- suffix
- tagging problem
- tags
- text
- theory
- tokens
- training
- training corpus
- training data
- word
- word features
- words
