Take a look at the video below, the solution in play is what we’ll be explaining through this write up. Notice the processing at the bottom of the screen grab to better understand the solution.

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 This difference in dataset preparation methodology leads to assumptions about training data which are no longer valid in the real world.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.

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