Active Learning for Abstractive Text Summarization.
Akim TsvigunIvan LysenkoDanila SedashovIvan LazichnyEldar DamirovVladimir KarlovArtemy BelousovLeonid SanochkinMaxim PanovAlexander PanchenkoMikhail BurtsevArtem ShelmanovPublished in: EMNLP (Findings) (2022)
Keyphrases
- text summarization
- active learning
- named entity recognition
- natural language processing
- semi supervised
- multi document summarization
- question answering
- information extraction
- learning algorithm
- extractive summarization
- text segments
- temporal expressions
- automatic summarization
- learning process
- training set
- query expansion
- keyword extraction
- lexical chains
- automatic text summarization
- machine learning
- relevance feedback
- arabic language
- supervised learning
- decision trees
- computational advertising
- feature selection
- knowledge base
- document structure
- feature space
- unsupervised learning