Unsupervised Active Learning of CRF Model for Cross Lingual Information Extraction.
Mohamed Farouk Abdel HadyAbubakrelsedik KaraliEslam KamalRania IbrahimPublished in: Int. J. Comput. Linguistics Appl. (2014)
Keyphrases
- cross lingual
- conditional random fields
- crf model
- information extraction
- active learning
- machine translation
- semi supervised
- supervised learning
- event extraction
- machine learning
- transfer learning
- natural language processing
- named entity recognition
- cross lingual information retrieval
- language modeling
- maximum entropy
- random fields
- labeled data
- information retrieval
- hidden markov models
- text classification
- pairwise
- probabilistic model
- unlabeled data
- named entities
- superpixels
- unsupervised learning
- text mining
- graphical models
- web documents
- semi supervised learning
- learning algorithm
- open domain
- word sense disambiguation
- natural language
- higher order
- generative model
- training set
- language model
- document clustering
- text documents
- multiscale
- decision trees
- news articles