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114 - Behavioral Testing of NLP Models, with Marco Tulio Ribeiro

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Manage episode 262952859 series 1452120
内容由NLP Highlights and Allen Institute for Artificial Intelligence提供。所有播客内容(包括剧集、图形和播客描述)均由 NLP Highlights and Allen Institute for Artificial Intelligence 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
We invited Marco Tulio Ribeiro, a Senior Researcher at Microsoft, to talk about evaluating NLP models using behavioral testing, a framework borrowed from Software Engineering. Marco describes three kinds of black-box tests the check whether NLP models satisfy certain necessary conditions. While breaking the standard IID assumption, this framework presents a way to evaluate whether NLP systems are ready for real-world use. We also discuss what capabilities can be tested using this framework, how one can come up with good tests, and the need for an evolving set of behavioral tests for NLP systems. Marco’s homepage: https://homes.cs.washington.edu/~marcotcr/
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Manage episode 262952859 series 1452120
内容由NLP Highlights and Allen Institute for Artificial Intelligence提供。所有播客内容(包括剧集、图形和播客描述)均由 NLP Highlights and Allen Institute for Artificial Intelligence 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
We invited Marco Tulio Ribeiro, a Senior Researcher at Microsoft, to talk about evaluating NLP models using behavioral testing, a framework borrowed from Software Engineering. Marco describes three kinds of black-box tests the check whether NLP models satisfy certain necessary conditions. While breaking the standard IID assumption, this framework presents a way to evaluate whether NLP systems are ready for real-world use. We also discuss what capabilities can be tested using this framework, how one can come up with good tests, and the need for an evolving set of behavioral tests for NLP systems. Marco’s homepage: https://homes.cs.washington.edu/~marcotcr/
  continue reading

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