styfeng/DataAug4NLP
An ACL 2021 survey paper and curated repository grouping NLP data augmentation research across text classification, translation, summarization, QA, and other tasks.
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This repository aggregates academic papers on data augmentation techniques for natural language processing. It organizes resources by NLP task categories including text classification, translation, summarization, question-answering, sequence tagging, parsing, dialogue, and more. The collection is based on a peer-reviewed survey published at ACL 2021 and serves as a reference for researchers and practitioners studying data augmentation in deep learning contexts.
Frequently asked
- What is styfeng/DataAug4NLP?
- An ACL 2021 survey paper and curated repository grouping NLP data augmentation research across text classification, translation, summarization, QA, and other tasks.
- Is DataAug4NLP open source?
- Yes — styfeng/DataAug4NLP is an open-source project tracked on heatdrop.
- How popular is DataAug4NLP?
- styfeng/DataAug4NLP has 835 stars on GitHub.
- Where can I find DataAug4NLP?
- styfeng/DataAug4NLP is on GitHub at https://github.com/styfeng/DataAug4NLP.