Summary Workbench: Unifying Application and Evaluation of Text Summarization Models
October 18, 2022 ยท Declared Dead ยท ๐ Conference on Empirical Methods in Natural Language Processing
"No code URL or promise found in abstract"
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Authors
Shahbaz Syed, Dominik Schwabe, Martin Potthast
arXiv ID
2210.09587
Category
cs.CL: Computation & Language
Citations
0
Venue
Conference on Empirical Methods in Natural Language Processing
Last Checked
6 months ago
Abstract
This paper presents Summary Workbench, a new tool for developing and evaluating text summarization models. New models and evaluation measures can be easily integrated as Docker-based plugins, allowing to examine the quality of their summaries against any input and to evaluate them using various evaluation measures. Visual analyses combining multiple measures provide insights into the models' strengths and weaknesses. The tool is hosted at \url{https://tldr.demo.webis.de} and also supports local deployment for private resources.
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