Navin Albert

Title: Navin Albert: Inventor Advancing AI-Powered Document Understanding.

Introduction

Navin Albert is an inventor based in San Francisco, California, whose patent work focuses on applying artificial intelligence to electronic documents. His inventions describe ways to organize document content, search for information by meaning, and generate useful summaries and responses.

Latest Patents

Albert’s listed patents address document summarization and semantic search.

“Entire Document Summarization” describes a method, system, and computer program product for summarizing an electronic document. The approach uses a structural representation of the document, including its elements and their relationships, to guide a machine-learning model in creating hierarchical representations of document portions. Those representations can then be provided to a generative AI model to complete a requested processing task and produce a response for display in a graphical user interface.

“Semantic Search and Summarization for Electronic Documents” describes an AI platform for searching one or more electronic documents for information based on meaning. The platform can use AI and machine-learning techniques within a document-management system and summarize retrieved information in natural language.

Career Highlights

Albert works at DocuSign, Inc. The supplied information lists 2 patents associated with his work, reflecting an emphasis on AI-enabled document management and information access.

Collaborations

The listed coworkers associated with Albert are Yan He and Alexey Zakhvatov. Their names appear alongside his work on technologies for document search, summarization, and processing.

Conclusion

Navin Albert’s patent portfolio centers on making electronic documents easier to search, understand, and process through artificial intelligence.