ACL RD-TEC 1.0 Summarization of W06-2404
Paper Title:
CHUNKING JAPANESE COMPOUND FUNCTIONAL EXPRESSIONS BY MACHINE LEARNING
CHUNKING JAPANESE COMPOUND FUNCTIONAL EXPRESSIONS BY MACHINE LEARNING
Authors: Masatoshi Tsuchiya and Takao Shime and Toshihiro Takagi and Takehito Utsuro and Kiyotaka Uchimoto and Suguru Matsuyoshi and Satoshi Sato and Seiichi Nakagawa
Primarily assigned technology terms:
- chunker
- chunking
- classification
- classifiers
- database
- japanese text processing
- kernel
- kernels
- language processing
- learning
- learning technique
- machine learning
- natural language processing
- optimization
- polynomial kernel
- processing
- processing tools
- support vector machines
- svms-based chunking
- text processing
Other assigned terms:
- agreement rate
- annotator
- annotators
- approach
- auxiliary verb
- auxiliary verb type
- case
- chunk
- chunks
- classification problem
- content words
- context feature
- context features
- corpus study
- distribution
- feature
- feature set
- feature sets
- grammatical functions
- human annotators
- japanese compound
- japanese language
- japanese sentences
- japanese text
- kappa
- kappa value
- kernel function
- meaning
- method
- misclassification cost
- morpheme
- morphemes
- natural language
- optimization problem
- part-of-speech
- particle
- particles
- parts-of-speech
- procedure
- process
- pronunciation
- quadratic kernel
- semantic
- sentence
- sentences
- support vector
- svms
- syntactic structures
- tags
- technique
- text
- text corpus
- training
- training data
- understanding
- verb
- word
- word usage
- words
