ACL RD-TEC 1.0 Summarization of W00-0713
Paper Title:
USING INDUCED RULES AS COMPLEX FEATURES IN MEMORY-BASED LANGUAGE LEARNING
USING INDUCED RULES AS COMPLEX FEATURES IN MEMORY-BASED LANGUAGE LEARNING
Primarily assigned technology terms:
- 10-fold crossvalidation
- algorithm
- chunking
- classification
- classifiers
- crossvalidation
- disambiguation
- error reduction
- grapheme-phoneme conversion
- induction
- induction algorithm
- instance-based learning
- k-nn
- k-nn classification
- language learning
- language processing
- learning
- machine learning
- machine-learning
- matching
- memory-based learning
- nearest neighbors
- part-of-speech tagging
- partof-speech tagging
- processing
- reasoning
- ripper rule induction
- rule induction
- rule matching
- rule-induction
- search
- segmentation
- tagger
- tagging
- transcription
- voting
Other assigned terms:
- approach
- benchmark
- binary feature
- binary features
- case
- classification rule
- classification tasks
- data set
- data sets
- fact
- feature
- feature weights
- generalisation
- generalisation accuracy
- index
- knowledge
- language data
- language processing tasks
- lob corpus
- method
- noun phrase
- part-of-speech
- partof-speech
- phonemic transcription
- phrase
- prepositional phrase
- processing tasks
- query
- rule sets
- sentence
- sentences
- stems
- tag set
- tagging task
- test set
- training
- training material
- treebank
- verb
- verb phrase
- word
- words
