ADAPTIVE TRAINING DATA AUGMENTATION TO FACILITATE TRAINING NAMED ENTITY RECOGNITION MODELS

ADAPTIVE TRAINING DATA AUGMENTATION TO FACILITATE TRAINING NAMED ENTITY RECOGNITION MODELS

Techniques are disclosed herein for adaptive training data augmentation to facilitate training named entity recognition (NER) models. Adaptive augmentation techniques are disclosed herein that take into consideration the distribution of different entity types within training data. The adaptive augme...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Vu, Thanh Tien, Shah, Shubham Pawankumar, Nezami, Omid Mohamad, Saha, Budhaditya
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Beschreibung
Zusammenfassung:Techniques are disclosed herein for adaptive training data augmentation to facilitate training named entity recognition (NER) models. Adaptive augmentation techniques are disclosed herein that take into consideration the distribution of different entity types within training data. The adaptive augmentation techniques generate adaptive numbers of augmented examples (e.g., utterances) based on the distribution of entities to make sure enough numbers of examples for minority class entities are generated during augmentation of the training data.