减震
发表于 2025-3-23 12:45:38
Kathryn Edin,Laura Tach,Timothy J. Nelsonlogue act classification hold great promise, and among these, unsupervised dialogue act classifiers have the great benefit of eliminating the human dialogue act annotation effort required to label corpora. In contrast to traditional evaluation approaches which judge unsupervised dialogue act classif
Constrain
发表于 2025-3-23 16:09:20
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排出
发表于 2025-3-23 19:04:10
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entice
发表于 2025-3-24 01:53:32
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离开就切除
发表于 2025-3-24 05:01:18
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blister
发表于 2025-3-24 08:52:15
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填料
发表于 2025-3-24 11:15:30
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执
发表于 2025-3-24 16:56:17
Automorphic forms for the modular groupthe mechanisms by which they occur are difficult to isolate in clinical settings. Computer-based learning environments (CBLE) offer the opportunity to train medical students to avoid cognitive errors by tracking the onset of these errors. The purpose of this study is to explore cognitive errors in a
使出神
发表于 2025-3-24 19:40:30
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resistant
发表于 2025-3-25 01:28:49
https://doi.org/10.1007/978-3-319-19773-9Affective computing; Artificial neural network; Authoring tools; Cognitive modeling; Collaborative learn