ACL RD-TEC 1.0 Summarization of P01-1041
Paper Title:
JAPANESE NAMED ENTITY RECOGNITION BASED ON A SIMPLE RULE GENERATOR AND DECISION TREE LEARNING
JAPANESE NAMED ENTITY RECOGNITION BASED ON A SIMPLE RULE GENERATOR AND DECISION TREE LEARNING
Primarily assigned technology terms:
- algorithm
- classification
- classifier
- consistency checking
- crossvalidation
- decision tree
- decision tree learner
- decision tree learning
- entity recognition
- extraction systems
- generation method
- information extraction
- information extraction systems
- japanese ne recognition
- learner
- learning
- maximum entropy
- maximum entropy method
- maximum entropy system
- named entity recognition
- ne recognition
- ne system
- pos tagger
- processing
- question answering
- question answering systems
- recognition
- recognition technology
- rule generation
- rule generation method
- rule generator
- statistical approaches
- statistical methods
- tagger
- taggers
- tokenization
- tree learning
- viterbi
- viterbi algorithm
Other assigned terms:
- annotators
- approach
- case
- character type
- characters
- classification problem
- crl ne data
- dictionaries
- dictionary
- document
- entropy
- f-measure
- fact
- feature
- feature value
- generation
- heuristic
- heuristic rules
- human annotators
- human intervention
- japanese ne
- kanji
- knowledge
- large training
- meaning
- method
- methodology
- named entities
- named entity
- names
- noun phrase
- noun phrases
- nouns
- organization names
- part-of-speech
- phrase
- pos tag
- positive and negative examples
- probability
- procedure
- processing time
- production rules
- proper noun
- right-hand side
- semantic
- semantic meaning
- sentence
- suffix
- suffixes
- symbols
- tags
- technology
- terms
- test data
- toolkit
- training
- training data
- training time
- tree
- word
- word boundary
- word lists
- words
