Daniela Braga

Title: Daniela Braga: Innovator in Dynamic Long-Distance Dependency

Introduction

Daniela Braga is a prominent inventor based in Lisboa, Portugal. She has made significant contributions to the field of technology, particularly in the area of dynamic long-distance dependency with conditional random fields. Her innovative work has implications for various applications, including Natural Language Processing and Automatic Speech Recognition.

Latest Patents

Daniela Braga holds a patent titled "Dynamic long-distance dependency with conditional random fields." This patent focuses on utilizing dynamic features with conditional random fields (CRFs) to effectively manage long-distance dependencies of output labels. The dynamic features incorporate a probability distribution that is explicitly defined based on the distance to a special output label, tailored for specific application scenarios. The patent outlines how these features can enhance the performance of systems in tasks such as prosodic break and pause prediction.

Career Highlights

Braga is currently associated with Microsoft Technology Licensing, LLC, where she continues to push the boundaries of innovation. Her work has garnered attention for its potential to improve various technological applications, making her a valuable asset in her field.

Collaborations

Throughout her career, Daniela has collaborated with notable colleagues, including Jian Luan and Linfang Wang. These partnerships have contributed to her success and the advancement of her research.

Conclusion

Daniela Braga is a trailblazer in her field, with a focus on dynamic long-distance dependency that has the potential to revolutionize technology applications. Her contributions are paving the way for future innovations in Natural Language Processing and related areas.