Baltimore, MD, United States of America

Nanyun Peng


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 19(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):

Title: Nanyun Peng: Innovator in Natural Language Processing

Introduction

Nanyun Peng is a prominent inventor based in Baltimore, MD (US). He has made significant contributions to the field of natural language processing, particularly through his innovative patent. His work focuses on enhancing the understanding of syntactic relationships in language, which is crucial for various applications in artificial intelligence.

Latest Patents

Nanyun Peng holds a patent titled "Graph long short term memory for syntactic relationship discovery." This invention utilizes long short term memory units that can accept a non-predefined number of inputs. It enables natural language relation extraction over a user-specified range on content. The content, which is intended for human consumption, is parsed with distant supervision in segments such as sentences, paragraphs, and chapters. This method helps determine relationships between various words within and between those segments. He has 1 patent to his name.

Career Highlights

Nanyun Peng is currently associated with Microsoft Technology Licensing, LLC, where he continues to push the boundaries of technology and innovation. His work has garnered attention for its potential applications in improving natural language understanding and processing.

Collaborations

Throughout his career, Nanyun has collaborated with notable colleagues, including Christopher Brian Quirk and Kristina Nikolova Toutanova. These collaborations have further enriched his research and development efforts in the field.

Conclusion

Nanyun Peng is a key figure in the realm of natural language processing, with a focus on syntactic relationship discovery. His innovative patent and contributions to Microsoft Technology Licensing, LLC highlight his commitment to advancing technology in meaningful ways.

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