Summary Workbench: Unifying Application and Evaluation of Text Summarization Models
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Abstract (arXiv)
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 urlhttps://tldr.demo.webis.de and also supports local deployment for private resources.
Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 30 of its 48 references that are in the map. First posted on arXiv 18 Oct 2022.
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References · 30
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18 more
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