Sandeep Tata

Title: Sandeep Tata: Innovator in Information Extraction Technologies

Introduction

Sandeep Tata is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of information extraction, holding a total of six patents. His work focuses on developing advanced systems that enhance the efficiency of data extraction from various document types.

Latest Patents

One of Sandeep's latest patents is titled "System for information extraction from form-like documents." This innovation is directed towards extracting text from documents that contain multiple text portions. The computing system he developed can obtain an image of a document and extract candidate text portions for each field type included in a target schema. It generates input feature vectors and candidate embeddings for each text portion, determining scores to assign the most relevant portions to their respective field types.

Another notable patent is "Transferable neural architecture for structured data extraction from web documents." This technology efficiently identifies and extracts machine-actionable structured data from web documents. By employing neural network architectures, the system processes raw HTML content from seed websites to create transferable models. These models can then be applied to other websites, allowing for the extraction of similar information in a structured form.

Career Highlights

Sandeep Tata is currently employed at Google Inc., where he continues to innovate in the field of data extraction technologies. His work has significantly impacted how information is processed and utilized across various platforms.

Collaborations

Sandeep has collaborated with notable coworkers such as Qi Zhao and Marc Alexander Najork, contributing to the advancement of their shared projects and innovations.

Conclusion

Sandeep Tata's contributions to information extraction technologies demonstrate his commitment to innovation and efficiency in data processing. His patents reflect a deep understanding of the challenges in this field and provide solutions that enhance the capabilities of computing systems.