Inventor profile of:

Stefan Larson

City:

Ann Arbor, Michigan

Country:

United States

Published Applications:

8

Last publication date:

2021-08-26

Top Assignees for applications by Stefan Larson

The entities that hold a legal rights for patent applications filed by inventor Larson Stefan:

Recent patent applications by Larson Stefan

Stefan Larson from Ann Arbor, US has applied for patents for these inventions. The list has both pending applications and granted patents:

#1 | 2021-08-26
US20210264902A1
Physics

Systems and methods implementing data query language and utterance corpus implements for handling slot-filling and dialogue intent classification data in a machine learning task-oriented dialogue system

#2 | 2021-06-22
US17180112
Physics

Systems and methods for mixed setting training for slot filling machine learning tasks in a machine learning task-oriented dialogue system

#3 | 2021-06-03
US20210166138A1
Physics

SYSTEMS AND METHODS FOR AUTOMATICALLY DETECTING AND REPAIRING SLOT ERRORS IN MACHINE LEARNING TRAINING DATA FOR A MACHINE LEARNING-BASED DIALOGUE SYSTEM

#4 | 2021-01-07
US20210004539A1
Physics

SYSTEMS AND METHODS FOR CONSTRUCTING AN ARTIFICIALLY DIVERSE CORPUS OF TRAINING DATA SAMPLES FOR TRAINING A CONTEXTUALLY-BIASED MODEL FOR A MACHINE LEARNING-BASED DIALOGUE SYSTEM

#5 | 2020-12-24
US20200401914A1
Physics

Systems and methods for automatically detecting and repairing slot errors in machine learning training data for a machine learning-based dialogue system

#6 | 2020-10-06
US16907792
Physics

Systems and methods for constructing an artificially diverse corpus of training data samples for training a contextually-biased model for a machine learning-based dialogue system

#7 | 2020-08-13
US20200258007A1
Physics

SYSTEMS AND METHODS FOR AUTOMATICALLY CONFIGURING TRAINING DATA FOR TRAINING MACHINE LEARNING MODELS OF A MACHINE LEARNING-BASED DIALOGUE SYSTEM

#8 | 2020-06-18
US20200193331A1
Physics

Systems and methods for automatically configuring training data for training machine learning models of a machine learning-based dialogue system including seeding training samples or curating a corpus of training data based on instances of training data identified as anomalous

InventorID:

2767558 ⎘