natural-language-processing-19
Extractive Text Summarization
3260 papers • 126 benchmarks • 313 datasets
Given a document, selecting a subset of the words or sentences which best represents a summary of the document.
(Image credit: Papersgraph)
Benchmarks
These leaderboards are used to track progress in extractive-text-summarization-19
Trend
Dataset
Best Model
Actions
CNN / Daily Mail
CNN / Daily Mail
DebateSum
DebateSum
GovReport
GovReport
Libraries
iUse these libraries to find extractive-text-summarization-19 models and implementations
3 papers 429
Datasets
No datasets available.
