ACL RD-TEC 1.0 Summarization of W03-0428
Paper Title:
NAMED ENTITY RECOGNITION WITH CHARACTER-LEVEL MODELS
NAMED ENTITY RECOGNITION WITH CHARACTER-LEVEL MODELS
Authors: Dan Klein and Joseph Smarr and Huy Nguyen and Christopher D. Manning
Primarily assigned technology terms:
- capitalization
- classification
- classifier
- classifiers
- computer science
- data representation
- decoding
- encoding
- entity recognition
- error reduction
- feature engineering
- feature representation
- final state
- graphical model
- hill-climb
- markov model
- maxent
- maxent classifier
- maximum entropy
- maximum-entropy
- modeling
- named entity recognition
- named-entity recognition
- part-of-speech tagging
- postprocessing
- productive feature engineering
- recognition
- segmentation
- tagging
- viterbi
- viterbi decoding
Other assigned terms:
- annotation
- approach
- case
- characters
- conditional markov model
- context features
- context information
- data sets
- data sparsity
- development set
- distribution
- emission model
- entity type
- entity types
- entropy
- entropy markov model
- estimation
- f-score
- feature
- feature list
- feature sets
- gazetteer
- gazetteer information
- heuristic
- implementation
- interpolation
- knowledge
- maxent model
- n-gram
- named entities
- named entity
- named-entity
- names
- part-of-speech
- person names
- phrase
- preposition
- probability
- process
- punctuation
- sequence model
- substring
- suffix
- symbol
- symbols
- syntactic context
- tags
- test data
- test set
- topology
- training
- training data
- word
- word level
- word model
- word-level model
- words
