This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2025.
Company Filing History:
Years Active: 2025
Title: Subhro Roy: Innovator in Semantic Parsing Technologies
Introduction
Subhro Roy is a notable inventor based in Walnut Creek, CA (US). He has made significant contributions to the field of natural language processing, particularly in the area of semantic parsing. His innovative work has led to the development of systems and methods that enhance the interaction between humans and machines.
Latest Patents
Subhro Roy holds 1 patent for his invention titled "Semantic parsing of utterance using contractive paraphrasing." This patent describes systems and methods for automatically generating a program based on a natural language utterance through semantic parsing. The process involves translating a natural language utterance into logical instructions for execution. By utilizing a pre-trained natural language model, the methods generate a canonical utterance as an intermediate form before producing the logical form. The invention employs an auto-regressive natural language model with a transformer to paraphrase sequences of words or tokens. Additionally, it incorporates a few-shot learning technique to predict words or tokens, ultimately generating a program for execution in an application.
Career Highlights
Subhro Roy is currently associated with Microsoft Technology Licensing, LLC, where he continues to innovate and contribute to advancements in technology. His work is pivotal in bridging the gap between natural language and machine understanding, making technology more accessible and efficient.
Collaborations
Throughout his career, Subhro Roy has collaborated with talented individuals, including Pengyu Chen and Eui Chul Shin. These collaborations have fostered an environment of innovation and creativity, leading to groundbreaking advancements in their respective fields.
Conclusion
Subhro Roy's contributions to semantic parsing and natural language processing exemplify the impact of innovative thinking in technology. His work not only enhances machine understanding but also paves the way for future advancements in human-computer interaction.