Canton, CT, United States of America

Kimberly Weller

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

IDiyas Innovation Intelligence. (2026). Inventor Profile: Kimberly Weller. Retrieved from https://idiyas.com/inventor/kimberly-weller

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

Calculating rank

Average Co-Inventor Count = 1.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Kimberly Weller and Intent Discovery Using Natural Language Inference.

Introduction

Kimberly Weller is an inventor based in Canton, Connecticut. Her patent work includes a method for discovering user intent from conversational data using natural language inference.

Latest Patents

Weller is associated with 1 patent, titled “Intent Discovery Using Natural Language Inference.” The invention describes a computing system that uses domain-specific information to develop hypotheses about conversations. A natural language inference engine then estimates whether each hypothesis is supported by its corresponding conversation. Hypotheses that meet a specified probability threshold can be added to a set of generated intents.

Career Highlights

Weller’s listed patent focuses on applying a neuro-symbolic approach to intent discovery. The method combines domain-specific hypotheses with natural language inference to help an organization identify intents in conversation data.

Collaborations

Weller is associated with Ally Financial Inc. Her listed coworkers include Samira Shaikh and Zhuo Cheng.

Conclusion

Kimberly Weller’s patent describes a structured approach to identifying intent in conversational data by evaluating hypotheses with natural language inference.

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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