Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Pre-trained contextual embedding models for named entity recognition and confidence prediction

Pre-trained contextual embedding models for named entity recognition and confidence prediction

US Patent 12131122 · Granted Oct 29, 2024

Estimated economic value: $228,166,000 ⓘ

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Method for serving parameter efficient NLP models through adaptive architectures2025
Supervised machine learning algorithm application for image cropping and skew re2024
Metamodeling for confidence prediction in machine learning based document extrac2023
Region proposal networks for automated bounding box detection and text segmentat2023
Method for serving parameter efficient NLP models through adaptive architectures2023
Metamodeling for confidence prediction in machine learning based document extrac2023
Pre-trained contextual embedding models for named entity recognition and confide2023
Region proposal networks for automated bounding box detection and text segmentat2022
Supervised machine learning algorithm application for image cropping and skew re2021
Region proposal networks for automated bounding box detection and text segmentat2021
System and method for information extraction with character level features2021
Method for adaptive contrast enhancement in document images2021