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bonndata is the institutional, cross-disciplinary research data repository for the publication of research data for all researchers at the University of Bonn.
bonndata is provided by the University IT and Data Center and maintained by the Research Data Service Center.
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3,011 to 3,020 of 3,027 Results
sentences.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 5.0 MB - MD5: 8eef179efcbc3135c72eb73e8c7b34d4
sentences.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 40.1 MB - MD5: 80ce0039071b670266512c81191ee909
sentences.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 2.8 MB - MD5: 445adabc6deb87959aea175b54564346
sentences.pkl
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Unknown - 5.0 MB - MD5: 8dbc7e678bd804380d3acfa51e5b064f
seq2seq.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 3.6 KB - MD5: d12b1b55f5a3f21789e1e5b4b5640cb6
solver.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 37.4 KB - MD5: c9c217e4152b9e4d47d33d75434e5dcc
sqlitedict_compress.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 223 B - MD5: 973f8bc6bbdd46f8d2745a9eb47c0a00
tensorboard.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 895 B - MD5: b7e500f2e8d5c0a108a33b0c02881b0d
time_track.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 1.1 KB - MD5: c6948eda97da898d8424ccdfb2cab2a6
tokenizer.py
Jun 5, 2023 - Evaluating Dialogue Systems via an Opinion
Python Source Code - 2.1 KB - MD5: 41e72881e530131faf0c44ffedf230f4
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