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arXiv 2210.09587cs.CL
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摘要集:统一文本摘要模型的应用和评估

Summary Workbench: Unifying Application and Evaluation of Text Summarization Models

Leipzig University(莱比锡大学)

Shahbaz Syed, Dominik Schwabe, Martin Potthast

摘要:

本文介绍了一个新的工具,用于开发和评估文本摘要模型的摘要。新的模型和评估措施可以很容易地集成为基于Docker的插件,允许根据任何输入检查其摘要的质量,并使用各种评估措施对其进行评估。结合多种测量的视觉分析可以深入了解模型的优势和劣势。该工具托管在\url{https://tldr.demo.webis.de}上,还支持私有资源的本地部署。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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