Ann Arbor, Michigan
United States
14
2021-06-24
The entities that hold a legal rights for patent applications filed by inventor Kummerfeld Jonathan K.:
Jonathan K. Kummerfeld from Ann Arbor, US has applied for patents for these inventions. The list has both pending applications and granted patents:
Systems and methods for slot relation extraction for machine learning task-oriented dialogue systems
#2 | 2021-06-22Systems and methods for mixed setting training for slot filling machine learning tasks in a machine learning task-oriented dialogue system
#3 | 2021-06-03SYSTEMS AND METHODS FOR AUTOMATICALLY DETECTING AND REPAIRING SLOT ERRORS IN MACHINE LEARNING TRAINING DATA FOR A MACHINE LEARNING-BASED DIALOGUE SYSTEM
#4 | 2021-04-22Systems and methods for slot relation extraction for machine learning task-oriented dialogue systems
#5 | 2021-01-07SYSTEMS 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
#6 | 2020-12-24Systems and methods for automatically detecting and repairing slot errors in machine learning training data for a machine learning-based dialogue system
#7 | 2020-10-06Systems 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
#8 | 2020-08-27SYSTEMS AND METHODS FOR INTELLIGENTLY CURATING MACHINE LEARNING TRAINING DATA AND IMPROVING MACHINE LEARNING MODEL PERFORMANCE
#9 | 2020-08-13SYSTEMS AND METHODS FOR AUTOMATICALLY CONFIGURING TRAINING DATA FOR TRAINING MACHINE LEARNING MODELS OF A MACHINE LEARNING-BASED DIALOGUE SYSTEM
#10 | 2020-08-13Systems and methods for machine learning-based multi-intent segmentation and classification
#11 | 2020-08-13SYSTEMS AND METHODS FOR MACHINE LEARNING BASED MULTI INTENT SEGMENTATION AND CLASSIFICATION
#12 | 2020-06-18Systems 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
#13 | 2019-09-26Systems and methods for intelligently curating machine learning training data and improving machine learning model performance
#14 | 2019-05-28Systems and methods for intelligently curating machine learning training data and improving machine learning model performance
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