Deep reinforcement and transfer learning for abstractive text summarization: A review.
Ayham AlomariNorisma IdrisAznul Qalid Md SabriIzzat AlsmadiPublished in: Comput. Speech Lang. (2022)
Keyphrases
- transfer learning
- text summarization
- reinforcement learning
- named entity recognition
- information extraction
- natural language processing
- learning tasks
- labeled data
- multi document summarization
- active learning
- knowledge transfer
- cross domain
- machine learning
- question answering
- collaborative filtering
- text classification
- domain adaptation
- text mining
- automatic summarization
- text categorization
- machine learning algorithms
- multi task
- semi supervised learning
- cross lingual
- transfer knowledge
- real world
- unlabeled data
- learning process
- natural language
- feature extraction
- feature selection
- transferring knowledge