Active Learning with Sampling by Uncertainty and Density for Word Sense Disambiguation and Text Classification.
Jingbo ZhuHuizhen WangTianshun YaoBenjamin K. TsouPublished in: COLING (2008)
Keyphrases
- word sense disambiguation
- text classification
- active learning
- random sampling
- wordnet
- machine learning
- labeled data
- natural language processing
- transfer learning
- text mining
- semantic features
- bag of words
- machine translation
- information extraction
- unlabeled data
- text categorization
- feature selection
- knn
- word sense
- highly ambiguous
- unsupervised word sense disambiguation
- cross lingual
- n gram
- co occurrence
- text documents
- supervised learning
- semantic similarity
- semi supervised
- part of speech
- semi supervised learning
- multi label
- machine learning methods
- training set
- data mining
- learning algorithm
- image processing
- support vector
- relevance feedback
- feature set
- semantic information