Detecting Anomalies in Sequences of Short Text Using Iterative Language Models
Business managers using Intelligent Virtual Assistants (IVAs) to enhance their company's customer service need ways to accurately and efficiently detect anomalies in conversations between the IVA and customers, vital for customer retention and satisfaction. Unfortunately, anomaly detection is a...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2021-04-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/128551 |
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