ACL RD-TEC 1.0 Summarization of W06-0108
Paper Title:
CLUSTER-BASED LANGUAGE MODEL FOR SENTENCE RETRIEVAL IN CHINESE QUESTION ANSWERING
CLUSTER-BASED LANGUAGE MODEL FOR SENTENCE RETRIEVAL IN CHINESE QUESTION ANSWERING
Authors: Youzheng Wu and Jun Zhao and Bo Xu
Primarily assigned technology terms:
- answer extraction
- bayesian smoothing
- chinese language processing
- chinese question answering
- clustering
- computational linguistics
- document retrieval
- english question answering
- information retrieval
- internet
- kernel
- language processing
- maximum likelihood
- mobile phone
- processing
- question answering
- question answering system
- ranking
- search
- search engine
- sentence clustering
- sentence retrieval
- smoothing
- statistical translation
- traditional document retrieval
- vector space model
Other assigned terms:
- approach
- association for computational linguistics
- baseline performance
- candidate answer
- chinese language
- cluster
- cluster-based language model
- clusters
- data sparseness
- data sparseness problem
- distribution
- document
- document model
- entity type
- experimental results
- fact
- kullback-leibler divergence
- language model
- language models
- likelihood
- linguistics
- meaning
- method
- named entities
- names
- natural language
- natural language question
- one-sentence-one-topic sentence
- probabilistic framework
- probabilities
- probability
- process
- query
- query term
- question types
- semantic
- semantic category
- semantic information
- sentence
- sentences
- sparseness problem
- statistical translation model
- structural information
- syntactic and semantic information
- term
- term distribution
- terms
- topics
- translation model
- unigram
- unigram language model
- user
- vector space
- word
- words
