Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls

arXiv:2404.08155v1 Announce Type: new
Abstract: Current Conversational AI systems employ different machine learning pipelines, as well as external knowledge sources and business logic to predict the next action. Maintaining various components in dialogue managers' pipeline adds complexity in expansion and updates, increases processing time, and causes additive noise through the pipeline that can lead to incorrect next action prediction. This paper investigates graph integration into language transformers to improve understanding the relationships between humans' utterances, previous, and next actions without …

abstract ai systems arxiv business business logic complexity components conversational conversational ai cs.cl current dialogue expansion graph knowledge language logic machine machine learning managers next noise phone phone calls pipeline pipelines prediction processing systems transformers type updates