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3,971 to 3,980 of 4,067 Results
train.py
Jun 5, 2023 - An Unsupervised Baseline For Dialogue Breakdown Detection Using Ouf-of-distribution Detection
Python Source Code - 7.5 KB - MD5: ef9c6d9a8629467669505ee7c0f3976a
Evaluating Dialogue Systems via an Opinion
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...
30.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 202.6 MB - MD5: 5248334cb6f456a8b35adf1a1599453e
30.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 282.4 MB - MD5: e7e1bfc10b05521fc2559e8d442ef642
30.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 177.8 MB - MD5: 10ab38bc59bc3376d3f608abd61e1481
30.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 122.5 MB - MD5: 3c121e1beb0332b1de983fccf3f2f9b7
README.txt
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Plain Text - 4.1 KB - MD5: 9671d129f173eb13a2064f6e2a996518
Readme.md
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Markdown Text - 2.0 KB - MD5: 91148f3145562aa87cb6db5021ed2003
__init__.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 147 B - MD5: 231a8ea4ade1ee4b2aa93a84ad62897c
__init__.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 273 B - MD5: c7ef12eb8ebe665435fc81a370615968
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