ACL RD-TEC 1.0 Summarization of P02-1064
Paper Title:
AN EMPIRICAL STUDY OF ACTIVE LEARNING WITH SUPPORT VECTOR MACHINES FORJAPANESE WORD SEGMENTATION
AN EMPIRICAL STUDY OF ACTIVE LEARNING WITH SUPPORT VECTOR MACHINES FORJAPANESE WORD SEGMENTATION
Primarily assigned technology terms:
- active learning
- active learning algorithm
- algorithm
- classification
- classifier
- classifiers
- encoding
- feature encoding
- japanese word segmentation
- kernel
- language processing
- learning
- learning algorithm
- natural language processing
- optimization
- processing
- random sampling
- sampling
- segmentation
- selection algorithm
- sequential sampling
- support vector machines
- text classification
- word segmentation
Other assigned terms:
- case
- character code
- character sequence
- character type
- characters
- chinese characters
- classification task
- clusters
- empirical results
- experimental results
- feature
- foreign words
- heuristics
- hypothesis
- interpolation
- japanese corpus
- japanese word
- kanji
- katakana
- kernel function
- knowledge
- method
- natural language
- nouns
- paragraph
- particles
- sentence
- sentences
- stems
- support vector
- svms
- syllables
- symbols
- technique
- text
- text classification task
- training
- training data
- training set
- unlabeled examples
- word
- word boundary
- words
