该技术由Wei等人(https://arxiv.org/abs/1901.11196)提出。在他们的论文“Easy Data Augmentation”中。在这种技术中,首先从不是停用词的句子中选择一个随机词。然后,找到其同义词并将其插入句子中的随机位置。 随机交换 此技术也由Wei等人提出。在他们的论文“Easy Data Augmentation”中。想法是随机交换句子中的...
TextAttack用户可以训练标准的LSTM,CNN和基于Transformer的模型,或者使用textattack train命令在nlp库的任何数据集上使用用户自定义模型 4.3 Data Augmentation 在搜索对抗性示例时,TextAttack的转换会对输入文本产生干扰,并应用约束来验证其有效性。这些工具可以重复使用,通过引入现有样本的扰动版本来显著扩展训练数据集。textatt...
NLP-Data-AugmentationNLP是一种文本增强技术,它可以通过同义词替换和回译两种方式来提高文本的质量和丰富性。 同义词替换是指使用一个词汇的同义词或近义词来替换原文中的某个词汇。这种方法可以通过利用word2vec词表来实现。Word2Vec是一种自然语言处理技术,它可以将单词转换为向量表示,从而实现词汇之间的相似度计算...
In machine learning, it is crucial to have a large amount of data in order to achieve strong model performance. Using a method known as data augmentation, you can create more data for your machine learning project. Data augmentation is a collection of techniques that manage the process of aut...
NLP Data Augmentation Techniques 1. Lexical Substitution This line of work tries to substitute words present in a text without changing the meaning of the sentence. a. Thesaurus-based substitution In this technique, we take a random word from the sentence and replace it with its synonym using ...
与“计算机视觉”中使用图像数据增强的标准做法不同,在NLP中,文本数据的增强非常少见。这是因为对图像的琐碎操作(例如将图像旋转几度或将其转换为灰度)不会改变其语义。语义上不变的转换的存在是使增强成为Computer Vision研究中必不可少的工具的原因。
Artificial Allies: Validation of Synthetic Text for Peer Support Tools through Data Augmentation in NLP Model Developmentdoi:10.1142/9789819807024_0008This study investigates the potential of using synthetic text to augment training data for Natural Language Processing (NLP) models, specifically within the...
Data Augmentation library for Speech Recognition Data Augmentation library for Audio Unsupervied Data Augmentation A Visual Survey of Data Augmentation in NLP Reference This library uses data (e.g. capturing from internet), research (e.g. following augmenter idea), model (e.g. using pre-trained...
For a survey of data augmentation in NLP, see thisrepository/thispaper. This is the code for the EMNLP-IJCNLP paperEDA: Easy Data Augmentation techniques for boosting performance on text classification tasks. A blog post that explains EDA is[here]. ...
Example of data augmentation Why is Data Augmentation Important? Tackling Limited Data Many machine learning projects fail due to insufficient or unbalanced data, a challenge particularly common in the healthcare industry. Medical datasets are often limited because collecting and labeling data, such as...