ACL RD-TEC 1.0 Summarization of W03-0435
Paper Title:
MEMORY-BASED NAMED ENTITY RECOGNITION USING UNANNOTATED DATA
MEMORY-BASED NAMED ENTITY RECOGNITION USING UNANNOTATED DATA
Authors: Fien De Meulder and Walter Daelemans
Primarily assigned technology terms:
- algorithm
- capitalization
- classification
- entity recognition
- feature selection
- identification
- internet
- learner
- learning
- learning algorithm
- learning task
- machine learning
- machine learning algorithm
- memory-based learner
- named entity recognition
- ne system
- nearest neighbors
- optimization
- parameter optimization
- preprocessing
- recognition
- search
Other assigned terms:
- ambiguous words
- approach
- binary feature
- binary features
- capitalization information
- case
- dutch
- fact
- feature
- feature value
- gazetteer
- gazetteer information
- german newspaper text
- grammar
- information source
- learning problem
- named entities
- named entity
- names
- noise
- organization names
- parameter settings
- part-of-speech
- part-of-speech tags
- person names
- precision
- prefixes and suffixes
- process
- reuters corpus
- search space
- stem
- suffixes
- tags
- text
- tokens
- training
- training data
- training material
- training set
- unannotated corpus
- word
- word form
- words
