Charlotte, NC, United States of America

Daniel Stephen Lieb

This inventor holds 1 USPTO granted patent. Top assignee: Ally Financial Inc.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel Stephen Lieb. Retrieved from https://idiyas.com/inventor/daniel-stephen-lieb

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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Average Co-Inventor Count = 1.0

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Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Daniel Stephen Lieb and Intent Discovery Using Natural Language Inference.

Introduction

Daniel Stephen Lieb is an inventor based in Charlotte, North Carolina. His work includes a patented approach to discovering user intent from conversational data using natural language inference.

Latest Patents

Lieb is associated with 1 patent: “Intent Discovery Using Natural Language Inference.” The invention describes methods, systems, and devices that use a neuro-symbolic approach to identify potential intents in conversation data. A computing system uses domain-specific information to form hypotheses, then applies a natural language inference engine to estimate whether each hypothesis is supported by its corresponding conversation. Hypotheses whose probabilities meet a specified threshold can be added to the generated set of intents.

Career Highlights

Lieb is associated with Ally Financial Inc. His patent reflects work on applying natural language processing and inference techniques to conversational data.

Collaborations

Samira Shaikh and Zhuo Cheng are identified as Lieb’s coworkers.

Conclusion

Daniel Stephen Lieb’s patent presents a method for using natural language inference to derive likely intents from conversations, connecting his work at Ally Financial Inc. with applied language-processing innovation.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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