Jason Michael Eisner

Title: Jason Michael Eisner: Innovator in Semantic Parsing and Dataflow Programs

Introduction

Jason Michael Eisner is a notable inventor based in Baltimore, MD (US). He has made significant contributions to the field of natural language processing and computer science. With a total of 2 patents, Eisner's work focuses on innovative methods for semantic parsing and dataflow program execution.

Latest Patents

Eisner's latest patents include "Semantic parsing of utterance using contractive paraphrasing" and "Speculative execution of dataflow program nodes." The first patent provides systems and methods for automatically generating a program based on a natural language utterance through semantic parsing. This involves translating a natural language utterance into logical instructions for execution, utilizing a pre-trained natural language model. The second patent presents a computer-implemented method that predicts a complete dataflow program based on sequentially received utterance prefixes, allowing for speculative execution of program nodes.

Career Highlights

Jason Michael Eisner is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop innovative solutions in technology. His work has been instrumental in advancing the capabilities of natural language understanding and program execution.

Collaborations

Eisner has collaborated with notable colleagues such as Emmanouil Antonios Platanios and Samuel McIntire Thomson, contributing to the advancement of their shared research interests.

Conclusion

Jason Michael Eisner's contributions to semantic parsing and dataflow programs highlight his role as an influential inventor in the technology sector. His innovative patents reflect a commitment to enhancing natural language processing capabilities.