ACL RD-TEC 1.0 Summarization of W06-0116
Paper Title:
CHINESE NAMED ENTITY RECOGNITION WITH CONDITIONAL RANDOM FIELDS
CHINESE NAMED ENTITY RECOGNITION WITH CONDITIONAL RANDOM FIELDS
Authors: Wenliang Chen and Yujie Zhang and Hitoshi Isahara
Primarily assigned technology terms:
- algorithm
- binary feature function
- chinese language processing
- chinese named entity recognition
- chunking
- computational linguistics
- conditional random fields
- crfs
- entity recognition
- entity recognition system
- feature selection
- language processing
- matching
- matching algorithm
- maximum matching
- modeling
- named entity recognition
- normalization
- post-processing
- processing
- recognition
- recognition system
- segmentation
- sequence labeling
- sequence modeling
- statistical sequence modeling
- tagging
- word segmentation
Other assigned terms:
- approach
- association for computational linguistics
- binary feature
- character sequence
- characters
- chinese language
- conditional probability
- corpora
- data consortium
- dictionary
- entity recognition task
- estimation
- events
- experimental results
- f measure
- f-score
- feature
- geopolitical entity
- labeling
- linguistic
- linguistic data
- linguistic data consortium
- linguistics
- location name
- log-likelihood
- measure
- n-gram
- n-grams
- named entities
- named entity
- precision
- probability
- procedure
- recognition task
- sentence
- sentences
- statistical sequence
- statistics
- substring
- suffix
- tags
- test data
- tokens
- training
- training corpus
- training data
- undirected graph
- word
- word boundaries
- word boundary
- word dictionary
- words
