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3,911 to 3,920 of 4,010 Results
readme.md
Jun 5, 2023 - An Unsupervised Baseline For Dialogue Breakdown Detection Using Ouf-of-distribution Detection
Markdown Text - 834 B - MD5: 5aeb4548c42ce4583b7317041a6ddfa3
run_eval_all.sh
Jun 5, 2023 - An Unsupervised Baseline For Dialogue Breakdown Detection Using Ouf-of-distribution Detection
Shell Script - 208 B - MD5: 945d9aa1b5b29c9b332cda2b1c2040a6
run_training_all.sh
Jun 5, 2023 - An Unsupervised Baseline For Dialogue Breakdown Detection Using Ouf-of-distribution Detection
Shell Script - 612 B - MD5: c3bc18cdee38dba0a6abbe85803f501d
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
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