Inês Jorge Pedro

Title: Inês Jorge Pedro and Intent Detection via Masked Models.

Introduction

Inês Jorge Pedro is an inventor associated with Berlin, Germany, and Zendesk, Inc. Her patent work concerns using masked models to predict intents associated with support tickets.

Latest Patents

Pedro is named on 1 patent: “Intent Detection via Masked Models.” The disclosure describes providing an intent model with a support ticket and a subset of relevant intents associated with the organization handling the ticket. The model then returns one or more predicted intents from that subset.

Career Highlights

The available information connects Pedro’s invention to Zendesk, Inc. and the development of methods for classifying support-ticket intent. The patent describes an approach that limits predictions to intents relevant to the organization, rather than the full set of intents the model could potentially predict.

Collaborations

The listed coworkers associated with Pedro are Nichal Ashok Narotamo and David Oliveira Aparício. The provided information does not specify their roles in the patent or the nature of their collaboration.

Conclusion

Inês Jorge Pedro’s listed patent focuses on organization-specific intent prediction for support tickets, reflecting an application of machine learning to customer-support workflows.