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Jun 5, 2023
Nedelchev, Rostislav, 2023, "Evaluating Dialogue Systems via an Opinion", https://doi.org/10.60507/FK2/FX37GD, bonndata, V1
Dialogue systems are a significant field of research and development in artificial intelligence. Until today, the evaluation of such algorithms happens in one fundamental way. They solve "hypothetical problems," i.e., dialog systems are tested by being asked to respond in specific scenarios and provide a "solution", i.e. a reply, to a "problem". Th... |
Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Unknown - 202.6 MB -
MD5: 5248334cb6f456a8b35adf1a1599453e
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Unknown - 282.4 MB -
MD5: e7e1bfc10b05521fc2559e8d442ef642
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Unknown - 177.8 MB -
MD5: 10ab38bc59bc3376d3f608abd61e1481
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Unknown - 122.5 MB -
MD5: 3c121e1beb0332b1de983fccf3f2f9b7
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Plain Text - 4.1 KB -
MD5: 9671d129f173eb13a2064f6e2a996518
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Markdown Text - 2.0 KB -
MD5: 91148f3145562aa87cb6db5021ed2003
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Python Source Code - 147 B -
MD5: 231a8ea4ade1ee4b2aa93a84ad62897c
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Python Source Code - 273 B -
MD5: c7ef12eb8ebe665435fc81a370615968
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Jun 5, 2023 -
Evaluating Dialogue Systems via an Opinion
Python Source Code - 0 B -
MD5: d41d8cd98f00b204e9800998ecf8427e
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