Abstractive Text Summarization using Transfer Learning.
Ekaterina ZolotarevaTsegaye Misikir TashuTomás HorváthPublished in: ITAT (2020)
Keyphrases
- transfer learning
- text summarization
- named entity recognition
- natural language processing
- learning tasks
- information extraction
- knowledge transfer
- active learning
- labeled data
- multi document summarization
- cross domain
- machine learning
- semi supervised learning
- automatic summarization
- question answering
- reinforcement learning
- collaborative filtering
- machine learning algorithms
- multi task
- transfer knowledge
- text categorization
- domain adaptation
- text classification
- learning algorithm
- text mining
- target domain
- artificial intelligence
- named entities
- query expansion
- decision trees
- transferring knowledge
- databases
- cross lingual
- hidden markov models
- prior knowledge
- information retrieval