Framework for unified summarisation and evaluation of English documents using state-of-the-art models and measures.
See the codeREADME
Summary Workbench
Unifying the application and evaluation of text summarization models. [Paper] [Documentation] [Live Demo]
Accepted at EMNLP 2022 (Demo track). :tada: :tada:
:loudspeaker: Updates (3-12-2022)
- Integrated 2 new models and their variants (6 in total): BRIO trained on news, Schnitsum trained on scholary documents.
- Integrated contrastive search for more fluent summaries. User can now toggle between regular and contrasitve search for supported models.
- Improvements to the UI responsiveness on smaller devices.
Summarize
Create a Request
Inspect the Results
Evaluate
Create a Request
Inspect the Results
Scores
Visualize Text Examples
Plot Scores against each other
evaluation-metrics
summarization
text-generation
visualization
Similar repos
Languages
Python
88.6%
JavaScript
8.2%
Cuda
1.6%
Framework for unified summarisation and evaluation of English documents using state-of-the-art models and measures.
See the codeREADME
Summary Workbench
Unifying the application and evaluation of text summarization models. [Paper] [Documentation] [Live Demo]
Accepted at EMNLP 2022 (Demo track). :tada: :tada:
:loudspeaker: Updates (3-12-2022)
- Integrated 2 new models and their variants (6 in total): BRIO trained on news, Schnitsum trained on scholary documents.
- Integrated contrastive search for more fluent summaries. User can now toggle between regular and contrasitve search for supported models.
- Improvements to the UI responsiveness on smaller devices.
Summarize
Create a Request
Inspect the Results
Evaluate
Create a Request
Inspect the Results
Scores
Visualize Text Examples
Plot Scores against each other
evaluation-metrics
summarization
text-generation
visualization
Similar repos
Languages
Python
88.6%
JavaScript
8.2%
Cuda
1.6%