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

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Manage episode 262952859 series 1452120
Kandungan disediakan oleh NLP Highlights and Allen Institute for Artificial Intelligence. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh NLP Highlights and Allen Institute for Artificial Intelligence atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.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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145 episod

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Manage episode 262952859 series 1452120
Kandungan disediakan oleh NLP Highlights and Allen Institute for Artificial Intelligence. Semua kandungan podcast termasuk episod, grafik dan perihalan podcast dimuat naik dan disediakan terus oleh NLP Highlights and Allen Institute for Artificial Intelligence atau rakan kongsi platform podcast mereka. Jika anda percaya seseorang menggunakan karya berhak cipta anda tanpa kebenaran anda, anda boleh mengikuti proses yang digariskan di sini https://ms.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

145 episod

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