A Combination of Active Learning and Semi-supervised Learning Starting with Positive and Unlabeled Examples for Word Sense Disambiguation: An Empirical Study on Japanese Web Search Query.
Makoto ImamuraYasuhiro TakayamaNobuhiro KajiMasashi ToyodaMasaru KitsuregawaPublished in: ACL/IJCNLP (2) (2009)
Keyphrases
- semi supervised learning
- word sense disambiguation
- active learning
- search queries
- semi supervised
- unlabeled data
- labeled data
- labeled examples
- wordnet
- natural language processing
- supervised learning
- machine learning
- search engine
- web search
- machine translation
- co training
- learning problems
- unsupervised learning
- web search engines
- text categorization
- web documents
- machine learning methods
- information extraction
- training set
- positive examples
- training data
- transfer learning
- information retrieval systems
- learning algorithm
- training examples
- semantic similarity
- class labels
- user queries
- relevant documents
- learning process
- text classification
- co occurrence
- relevance feedback