18384122. Apparatus And Method For Data Augmentation simplified abstract (HYUNDAI MOTOR COMPANY)

Apparatus And Method For Data Augmentation

Organization Name

HYUNDAI MOTOR COMPANY

Inventor(s)

Yekyung Kim of Seongnam-Si (KR)

Seohyeong Jeong of Suwon-Si (KR)

Kyunghyun Cho of New York NY (US)

Apparatus And Method For Data Augmentation - A simplified explanation of the abstract

This abstract first appeared for US patent application 18384122 titled 'Apparatus And Method For Data Augmentation

Simplified Explanation: The patent application describes an apparatus for data augmentation that involves encoding input sentences, adjusting their length, mixing them at a predetermined ratio, generating a hidden vector for a new sentence, and then decoding it back to the original sentence.

Key Features and Innovation:

• Encoder encodes input sentences to generate encoded samples.
• Generation part adjusts the length of encoded samples to match a target length.
• Encoded samples are mixed at a predetermined ratio to create an interpolated hidden vector for a new sentence.
• Decoder reconstructs the original sentence from the interpolated hidden vector.

Potential Applications: This technology can be applied in natural language processing, machine translation, text generation, and data augmentation for training machine learning models.

Problems Solved: This technology addresses the need for generating diverse and augmented data for training machine learning models, improving their performance and generalization.

Benefits:

• Enhanced data diversity for training models.
• Improved model performance and generalization.
• Efficient data augmentation process.

Commercial Applications: The technology can be utilized in various industries such as e-commerce, healthcare, finance, and customer service for improving natural language processing tasks and enhancing machine learning models' capabilities.

Prior Art: Readers can explore prior research in data augmentation techniques, natural language processing, and machine learning models to understand the evolution of similar technologies.

Frequently Updated Research: Stay updated on advancements in data augmentation techniques, natural language processing algorithms, and machine learning model training methodologies to leverage the latest innovations in the field.

Questions about Data Augmentation: 1. How does data augmentation impact the performance of machine learning models? 2. What are the key challenges in implementing data augmentation techniques effectively?

By following these guidelines, you can create a comprehensive, informative, and SEO-optimized article on the patent application for data augmentation technology.

Original Abstract Submitted

An apparatus for data augmentation includes an encoder configured to encode a plurality of input sentences and output encoded samples based on the plurality of encoded input sentences; a generation part configured to adjust a length of each of the encoded samples to match a target length, and mix the encoded samples having the adjusted length at a predetermined mixing ratio to generate an interpolated hidden vector of a newly generated sentence; and a decoder configured to reconstruct an original sentence corresponding to the interpolated hidden vector.