Croton-on-Hudson, NY, United States of America

Vittorio Castelli

USPTO Granted Patents = 1 

Average Co-Inventor Count = 7.0

ph-index = 1


Company Filing History:


Years Active: 2025

Loading Chart...
1 patent (USPTO):Explore Patents

Title: Vittorio Castelli: Innovator in Relation Extraction Technology

Introduction

Vittorio Castelli is a notable inventor based in Croton-on-Hudson, NY (US). He has made significant contributions to the field of text-based document processing, particularly in relation extraction technologies. With a focus on enhancing the understanding of entity relationships within documents, his work has implications for various applications in data analysis and artificial intelligence.

Latest Patents

Vittorio holds a patent for "Relation extraction from text-based documents." This innovative patent outlines systems and methods for generating a set of entity data items using an entity recognition model and the text of a document. The process involves identifying entity mentions, generating augmentation data regarding layout properties, and creating relation data items that represent the relationships between entities. The ultimate goal is to develop a user interface that effectively presents these relations, enhancing the usability of text-based information.

Career Highlights

Vittorio is currently employed at Amazon Technologies, Inc., where he continues to push the boundaries of technology in relation extraction. His work is instrumental in improving how machines understand and process human language, making it easier to extract meaningful insights from large volumes of text.

Collaborations

Throughout his career, Vittorio has collaborated with talented individuals such as Sonal R Pardeshi and Bonan Min. These collaborations have fostered an environment of innovation and creativity, leading to advancements in their respective fields.

Conclusion

Vittorio Castelli's contributions to relation extraction technology exemplify the impact of innovative thinking in the realm of data processing. His patent and ongoing work at Amazon Technologies, Inc. highlight the importance of understanding entity relationships in text, paving the way for future advancements in artificial intelligence and data analysis.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…