ACL RD-TEC 1.0 Summarization of I05-5009
Paper Title:
EVALUATING CONTEXTUAL DEPENDENCY OF PARAPHRASES USING A LATENT VARIABLE MODEL
EVALUATING CONTEXTUAL DEPENDENCY OF PARAPHRASES USING A LATENT VARIABLE MODEL
Primarily assigned technology terms:
- approximation
- bag-of-words approach
- binary classification
- classification
- computing
- exact matching
- latent dirichlet allocation
- learning
- learning method
- machine translation
- matching
- parameter estimation
- paraphrasing
- searching
- segmentation
- statistical machine translation
- supervised learning
- support vector machine
- text segmentation
- topic inference
Other assigned terms:
- annotation
- approach
- bilingual corpus
- binary classification problem
- case
- classification problem
- cohesion
- contextual information
- conversation
- corpora
- data set
- dirichlet allocation
- distribution
- document
- english sentence
- english translations
- error rate
- estimation
- evaluation method
- evaluations
- experimental results
- hierarchical structure
- human judgement
- index
- inferences
- japanese sentences
- joint probability
- kappa
- labeling
- likelihood
- meaning
- method
- natural language
- parallel corpora
- parallel texts
- paraphrase
- paraphrases
- phrase
- probabilistic model
- probabilities
- probability
- seed
- sentence
- sentences
- statistics
- support vector
- target sentence
- term
- term frequency
- terms
- text
- time complexity
- toolkit
- topics
- translations
- understanding
- window size
- word
- words
