VentureBeat April 14, 2020
In a pair of preprint papers published this week on Arxiv.org, Amazon researchers describe two novel systems — one that facilitates automatic speech recognition and another responsible for dialog state tracking — that they say achieve state-of-the-art performance compared with several baseline models. Assuming the claims have merit, their work could enhance the accuracy of AI agents in enterprise and consumer domains while reducing the amount of data required to train them.
Machine reading comprehension
Building an AI assistant like Alexa that can understand requests and complete tasks necessitates a system that tracks the state of dialogues in back-and-forth conversations — a dialogue state tracking system. The state is typically defined as a pair of variables — a “slot” and...
Today's Sponsors
Today's Sponsor