ACL RD-TEC 1.0 Summarization of E99-1023
Paper Title:
REPRESENTING TEXT CHUNKS
REPRESENTING TEXT CHUNKS
Authors: Erik F. Tjong and Kim Sang and Jorn Veenstra
Primarily assigned technology terms:
- 5-fold cross-validation
- algorithm
- basenp recognition
- bracketing
- brill tagger
- chunker
- chunking
- classification
- classifier
- computing
- cross validation
- cross-validation
- data representation
- decision tree
- decision tree learning
- feature representation
- feature weighting
- hardware
- hillclimbing
- information extraction
- information retrieval
- learning
- learning algorithm
- learning approach
- machine learning
- machine learning algorithm
- memory-based learning
- memory-based learning algorithm
- memory-based sequence learning
- nearest neighbors
- parser
- parsing
- post-processing
- preprocessing
- processing
- recognition
- recognizer
- repair
- search
- search algorithm
- searching
- sequence learning
- syntactic analysis
- tagger
- tagging
- tile
- transformation-based learning
- tree learning
- validation
- weighting
Other assigned terms:
- 10-fold cross validation
- approach
- basenp
- benchmark
- chunk
- chunk tag
- chunks
- concept
- context information
- context size
- data set
- entropy
- fact
- feature
- information gain
- measure
- method
- noun phrase
- parameter space
- parameter values
- parsing information
- part-of-speech
- part-of-speech tag
- part-of-speech tags
- phrase
- pos tag
- precision
- recognition task
- representation format
- representation scheme
- representations
- sentences
- syntactic trees
- tagging problem
- tagging task
- tags
- test data
- test material
- test set
- text
- theoretic measure
- training
- training and test data
- training data
- training material
- tree
- trees
- wall street journal corpus
- word
- word sequence
- words
- wsj corpus
