Text Augmentation

6 papers with code · Natural Language Processing
Subtask of Data Augmentation

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Greatest papers with code

Learning to Compose Domain-Specific Transformations for Data Augmentation

NeurIPS 2017 HazyResearch/tanda

Data augmentation is a ubiquitous technique for increasing the size of labeled training sets by leveraging task-specific data transformations that preserve class labels.

IMAGE AUGMENTATION RELATION EXTRACTION TEXT AUGMENTATION

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations

NAACL 2018 pfnet-research/contextual_augmentation

We stochastically replace words with other words that are predicted by a bi-directional language model at the word positions.

LANGUAGE MODELLING TEXT AUGMENTATION TEXT CLASSIFICATION

Sequence-to-Sequence Data Augmentation for Dialogue Language Understanding

COLING 2018 AtmaHou/Seq2SeqDataAugmentationForLU

In this paper, we study the problem of data augmentation for language understanding in task-oriented dialogue system.

TEXT AUGMENTATION

Text Data Augmentation Made Simple By Leveraging NLP Cloud APIs

5 Dec 2018ClaudeCoulombe/TextDataAugmentation

In practice, it is common to find oneself with far too little text data to train a deep neural network.

TEXT AUGMENTATION