Minneapolis, MN, United States of America

Ryan David Siskind


Average Co-Inventor Count = 3.9

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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8 patents (USPTO):Explore Patents

Title: Innovations by Ryan David Siskind

Introduction

Ryan David Siskind is an accomplished inventor based in Minneapolis, MN. He has made significant contributions to the field of natural language processing, holding a total of 8 patents. His work focuses on enhancing named entity recognition through innovative methods and systems.

Latest Patents

One of Siskind's latest patents is titled "Multi-task triplet loss for named entity recognition using supplementary text." This patent discloses methods and systems for performing named entity recognition by utilizing a multi-task approach to fine-tune a neural network. The method includes a multi-task objective function that combines a triplet loss and a named entity recognition loss. The triplet loss incorporates supplementary texts, allowing the fine-tuned neural network to effectively identify named entities in a given text. Additionally, Siskind has developed a patent for "Multi-task learning of query intent and named entities." This method involves receiving a query text and providing it to a neural network model that includes multiple layers and loss functions. The model identifies named entities and query intent, which can be used to formulate a query response.

Career Highlights

Ryan David Siskind is currently employed at Target Brands, Inc., where he continues to innovate in the field of technology. His work has significantly impacted the way natural language processing tasks are performed, particularly in the context of named entity recognition.

Collaborations

Siskind has collaborated with notable coworkers, including Nicholas Scott Eggert and Stephen Radachy. Their combined expertise contributes to the advancement of their projects and innovations.

Conclusion

Ryan David Siskind is a prominent inventor whose work in natural language processing has led to several patents that enhance named entity recognition. His contributions continue to shape the future of technology in this field.

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