Debility 发表于 2025-3-25 06:20:15
Arnold van Emmerik,Ed Berretty of the most challenging tasks, as it is difficult to obtain examples, prior knowledge or the exact numbers of unknown intents. In this chapter, we introduce SofterMax and deep novelty detection (SMDN), a simple yet effective post-processing method for detecting unknown intent in dialogue systems baCRASS 发表于 2025-3-25 10:06:42
http://reply.papertrans.cn/59/5854/585359/585359_22.png你敢命令 发表于 2025-3-25 15:29:05
http://reply.papertrans.cn/59/5854/585359/585359_23.pngPrologue 发表于 2025-3-25 17:29:30
Arnold van Emmerik,Ed Berrettyding of human intents in the real world. With the increasing demand for human-computer interaction, intelligent services have become integrated into our daily lives. The book explores the core module of understanding user needs during conversation interactions. Accurately recognizing user intents co压舱物 发表于 2025-3-25 23:14:05
Arnold van Emmerik,Ed Berrettye two main tasks for building a SLU system. Multiple deep learning based models have demonstrated good results on these tasks. The most effective algorithms are based on the structures of sequence to sequence models (or “encoder-decoder” models), and generate the intents and semantic tags either usiTartar 发表于 2025-3-26 04:13:36
http://reply.papertrans.cn/59/5854/585359/585359_26.png怒目而视 发表于 2025-3-26 05:54:52
8楼ELUDE 发表于 2025-3-26 11:08:21
8楼milligram 发表于 2025-3-26 13:30:32
9楼Offset 发表于 2025-3-26 19:48:21
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