Saurabh Goyal

Title: Saurabh Goyal: Innovator in Deep Learning and Information Extraction

Introduction

Saurabh Goyal is a prominent inventor based in Jersey City, NJ (US). He has made significant contributions to the fields of deep learning and information extraction, holding 2 patents that showcase his innovative approach to technology.

Latest Patents

One of Saurabh's latest patents is titled "Few shot incremental learning for named entity recognition." This invention provides a method, computer system, and computer program product for classification training. It involves training a deep learning model with a first dataset that includes annotated samples from two classes. The model saves last hidden state features corresponding to respective tokens from prototypes of these classes. Further training is conducted with a second dataset that includes additional annotated samples and a third class, utilizing cosine similarity loss optimization and cross-entropy loss optimization for improved classification.

Another notable patent is "Information extraction from documents containing handwritten text." This invention includes a method, computer system, and computer program product for extracting information from mixed-text documents that contain both typed and handwritten text. The system employs a handwriting detection model to receive a mixed-text document and detect handwritten text based on key-value pairs present in the document.

Career Highlights

Saurabh Goyal is currently employed at International Business Machines Corporation, commonly known as IBM. His work at IBM focuses on advancing technologies in machine learning and information processing, contributing to the company's reputation as a leader in innovation.

Collaborations

Saurabh has collaborated with notable coworkers such as Ashish Verma and Catherine Finegan-Dollak. These collaborations have further enriched his work and contributed to the development of cutting-edge technologies.

Conclusion

Saurabh Goyal is an influential inventor whose work in deep learning and information extraction continues to impact the technology landscape. His patents reflect a commitment to innovation and excellence in his field.