Nicholas Brady Garvan Monath

Title: Innovations of Nicholas Brady Garvan Monath

Introduction

Nicholas Brady Garvan Monath is an accomplished inventor based in North Hampton, MA (US). He has made significant contributions to the field of technology, particularly in machine learning and document processing. With a total of two patents to his name, Monath's work showcases his innovative approach to solving complex problems.

Latest Patents

Monath's latest patents include "Encoding entity representations for cross-document coreference" and "Unsupervised hypernym induction machine learning." The first patent describes a computer-implemented method for performing cross-document coreference for a corpus of input documents. This method involves determining mentions by parsing the input documents, creating a hierarchical tree data structure, and computing similarity scores to identify entities for which coreference has been performed. The second patent focuses on training a machine learning model to automatically extract hypernyms from unstructured data. It outlines a process for generating a final list of hyponym-hypernym pairs and training an artificial neural network to identify hypernyms from new text data.

Career Highlights

Monath is currently employed at International Business Machines Corporation, commonly known as IBM. His role at IBM allows him to leverage his expertise in machine learning and document processing, contributing to the company's innovative projects and research initiatives.

Collaborations

Some of Monath's notable coworkers include Michael Robert Glass and Robert G Farrell. Their collaboration fosters a creative environment that encourages the development of groundbreaking technologies.

Conclusion

Nicholas Brady Garvan Monath is a notable inventor whose work in machine learning and document processing has led to significant advancements in technology. His patents reflect his innovative spirit and dedication to solving complex challenges in the field.