ACL RD-TEC 1.0 Summarization of W03-0427
Paper Title:
MEMORY-BASED ONE-STEP NAMED-ENTITY RECOGNITION: EFFECTS OF SEED LIST FEATURES, CLASSIFIER STACKING, AND UNANNOTATED DATA
MEMORY-BASED ONE-STEP NAMED-ENTITY RECOGNITION: EFFECTS OF SEED LIST FEATURES, CLASSIFIER STACKING, AND UNANNOTATED DATA
Authors: Iris Hendrickx and Antal van den Bosch
Primarily assigned technology terms:
- algorithm
- bootstrap
- classification
- classifier
- classifier stacking
- classifiers
- data base
- distance function
- error reduction
- feature selection
- heuristic search
- inductive learning
- inductive learning algorithm
- instance selection
- internet
- k-nn
- learner
- learning
- learning algorithm
- matching
- memory-based classifier
- memory-based learner
- memory-based learning
- meta-learning
- named-entity recognition
- named-entity recognition system
- nearest neighbors
- optimization
- parameter setting
- recognition
- recognition system
- sampling
- search
- search algorithm
- selection method
- unlabeled instance selection
Other assigned terms:
- binary features
- chunks
- class distribution
- classification tasks
- development set
- distribution
- english dataset
- entropy
- fact
- feature
- feature space
- gazetteer
- generalisation
- heuristic
- lexical data base
- measure
- method
- named entities
- named entity
- named-entity
- names
- parameter settings
- process
- seed
- signal
- test data
- test material
- test set
- training
- training and test data
- training material
- training set
- unannotated corpus
- word
- wordform
- words
