Semi-Supervised Learning and Domain Adaptation in Natural Language Processing Anders Søgaard University of Copenhagen Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 21), 2013, x+93 pp; paperbound, ISBN 978-1-60845-985-8, $40.00; e-book, ISBN 978-1-60845-986-5, $30.00 or by subscription.
George FosterPublished in: Comput. Linguistics (2014)
Keyphrases
- domain adaptation
- semi supervised learning
- natural language processing
- labeled data
- semi supervised
- unlabeled data
- machine learning
- active learning
- computational linguistics
- co training
- supervised learning
- unsupervised learning
- naacl hlt
- text categorization
- information extraction
- opinion detection
- transfer learning
- artificial intelligence
- covariate shift
- weakly labeled data
- text classification
- training data
- labeled training data
- text mining
- doctoral consortium
- multiple sources
- computer science
- student research workshop
- decision trees
- target domain
- wordnet
- labeled and unlabeled data
- word sense disambiguation
- class labels
- data analysis
- knowledge representation