Haptik introduces HINT3 to benchmark performance of Dialogue Agents

Intent Detection is a vital part of the Natural Language Understanding (NLU) pipeline of  Task-oriented dialogue systems. Recent advances in NLP have enabled systems that perform quite well on existing intent detection benchmarking datasets like HWU64, CLINC150, BANKING77 as shown in Larson et al., 2019, Casanueva et al., 2020. However, most existing datasets for intent detection are generated using crowdsourcing services. This difference in dataset preparation methodology leads to assumptions about training data which are no longer valid in the real world. In the real world, definition of intent often varies across users, tasks and domains.

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How We Simplified API Testing At Haptik

Haptik is a conversational AI company and we build Intelligent Virtual Assistant solutions (IVAs) that enhance customer experience and drive ROI for large brands.

 

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Probing For Clarification – A Must-Have Skill For Level 3 AI Assistant

Typically, there are 5 levels of Conversational AI and Level 3 is understood as contextual assistants, where the user no longer needs to know how to use the assistant or follow the pre-designed conversational flow.

 

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