ACL RD-TEC 1.0 Summarization of C02-1020
Paper Title:
EXTRACTING WORD SEQUENCE CORRESPONDENCES WITH SUPPORT VECTOR MACHINES
EXTRACTING WORD SEQUENCE CORRESPONDENCES WITH SUPPORT VECTOR MACHINES
Authors: Kengo Sato and Hiroaki Saito
Primarily assigned technology terms:
- algorithm
- apple pie parser
- classifier
- classifiers
- feature selection
- hill climbing
- kernel
- learner
- learning
- learning algorithm
- linking
- machine learning
- maximum entropy
- me modeling
- modeling
- optimization
- parser
- parsing
- pie parser
- polynomial kernel
- probabilistic translation
- support vector machines
- verb phrases
Other assigned terms:
- adjective
- adverb
- approach
- co-occurrence
- co-occurrence information
- co-occurrences
- content words
- corpora
- correlation
- dice
- dictionaries
- dictionary
- entropy
- feature
- feature vector
- feature vectors
- japanese sentences
- kernel function
- knowledge
- mapping
- method
- morphological information
- mutual information
- noun phrases
- optimization problem
- pairs of words
- parallel corpora
- part-of-speech
- precision
- probabilities
- sentence
- sentences
- statistics
- support vector
- svms
- test corpora
- theory
- training
- training corpora
- training data
- training sample ~
- training samples
- translation dictionary
- translation model
- translation pair
- translation pairs
- translation probabilities
- verb
- word
- word pair
- word sequence
- words
