ACL RD-TEC 1.0 Summarization of H05-1121
Paper Title:
QUERY EXPANSION WITH THE MINIMUM USER FEEDBACK BY TRANSDUCTIVE LEARNING
QUERY EXPANSION WITH THE MINIMUM USER FEEDBACK BY TRANSDUCTIVE LEARNING
Authors: Masayuki Okabe and Kyoji Umemura and Seiji Yamada
Primarily assigned technology terms:
- active learning
- algorithm
- approximation
- classification
- computational linguistics
- extraction technique
- graph transducer
- human language
- human language technology
- inductive learning
- information retrieval
- ir system
- language processing
- language technology
- learning
- learning algorithm
- learning algorithms
- learning approach
- learning method
- learning system
- learning task
- learning technique
- machine learning
- natural language processing
- nearest neighbors
- optimization
- phase extraction
- processing
- query expansion
- ranking
- sampling
- scoring
- scoring function
- search
- search engine
- semisupervised learning
- spectral graph transducer
- support vector machine
- term weighting
- transducer
- transduction
- transductive learning
- weighting
Other assigned terms:
- approach
- association for computational linguistics
- candidate terms
- case
- convergence
- data set
- document
- document collection
- document frequency
- document length
- estimation
- evaluation measures
- evaluations
- expansion technique
- experimental results
- heuristic
- learning problem
- likelihood
- linguistics
- mean average precision
- meanings
- measures
- method
- natural language
- nouns
- optimization problem
- parameter settings
- precision
- probability
- procedure
- process
- queries
- query
- query vector
- robertson\/spark jones weight
- search results
- support vector
- technique
- technology
- term
- terms
- test data
- test data set
- text
- topics
- training
- training data
- training data set
- training documents
- training examples
- user
