NLP-Data-Augmentation

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NLP-Data-Augmentation

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Implementing 5 Different Approaches To Augmenting Data For Natural Language Processing Tasks.

NLP-Data-Augmentation 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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# Data Augmentation Techniques For Natural Language Processing

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This repository takes into account 5 different Data Augmentation Techniques aimed to improve the performance of your models.

The five techniques included in this repository are:

|No.|Technique|Link To Folder|
|---|---------|--------------|
|1.|Word Embeddings|<a href="https://github.com/aryashah2k/NLP-Data-Augmentation/tree/main/Word%20Embeddings">Click Here</a>|
|2.|BERT|<a href="https://github.com/aryashah2k/NLP-Data-Augmentation/tree/main/BERT">Click Here</a>|
|3.|Back Translation|<a href="https://github.com/aryashah2k/NLP-Data-Augmentation/tree/main/Back%20Translation">Click Here</a>|
|4.|Text To Text Transformer|<a href="https://github.com/aryashah2k/NLP-Data-Augmentation/tree/main/Text%20To%20Text%20Transformer">Click Here</a>|
|5.|Ensemble Approach|<a href="https://github.com/aryashah2k/NLP-Data-Augmentation/tree/main/Ensemble%20Approach">Click Here</a>|

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# Collective Comparison Of The 5 Approaches

--TO DO--

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Completion Log:

[x] Word Embeddings

[-] BERT

[-] Back Translation

[-] Text To text Transformer

[-] Ensemble Approach

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