A Survey of Abstractive Text Summarization Utilising Pretrained Language Models.
Ayesha Ayub SyedFord Lumban GaolAlfred BoedimanTokuro MatsuoWidodo BudihartoPublished in: ACIIDS (1) (2022)
Keyphrases
- language model
- text summarization
- query expansion
- language modeling
- natural language processing
- named entity recognition
- probabilistic model
- n gram
- multi document summarization
- information retrieval
- information extraction
- document retrieval
- retrieval model
- question answering
- test collection
- query terms
- vector space model
- pseudo relevance feedback
- language models for information retrieval
- context sensitive
- text retrieval
- document representation
- document structure
- statistical language models
- relevant documents
- named entities
- text mining
- automatic text summarization
- conditional random fields
- text classification
- pairwise
- artificial intelligence
- machine learning
- relevance model
- smoothing methods
- data mining