On Extractive and Abstractive Neural Document Summarization with Transformer Language Models.
Jonathan PilaultRaymond LiSandeep SubramanianChris PalPublished in: EMNLP (1) (2020)
Keyphrases
- language model
- document summarization
- multi document summarization
- automatic summarization
- multidocument summarization
- query specific
- language modeling
- n gram
- probabilistic model
- document retrieval
- query expansion
- information retrieval
- text summarization
- language independent
- retrieval model
- vector space model
- document representation
- query terms
- semantic features
- cosine similarity
- test collection
- relevance model
- syntactic analysis
- document ranking
- automatic evaluation
- retrieval effectiveness
- cross lingual
- information extraction