WebApr 15, 2024 · This section discusses the proposed attention-based text data augmentation mechanism to handle imbalanced textual data. Table 1 gives the statistics of the Amazon reviews datasets used in our experiment. It can be observed from Table 1 that the ratio of the number of positive reviews to negative reviews, i.e., imbalance ratio (IR), is … WebNov 20, 2024 · In this post, I will primarily address data augmentation with regard to the Text Classification and Some of these Techniques are listed below. 1. Translation: ... BERT can be used for more reliability as its vector representation is much richer. As Bi-LSTM & Transformer based models encodes longer text sequences & are contextually aware …
Unsupervised Data Augmentation for Consistency Training
WebApr 14, 2024 · Data Augmentation for BERT Fine-Tuning in Open-Domain Question Answering. Recently, a simple combination of passage retrieval using off-the-shelf IR techniques and a BERT reader was found to be very effective for question answering directly on Wikipedia, yielding a large improvement over the previous state of the art on a … WebAug 23, 2024 · Language model based pre-trained models such as BERT have provided significant gains across different NLP tasks. For many NLP tasks, labeled training data is scarce and acquiring them is a expensive and demanding task. Data augmentation can help increasing the data efficiency by artificially perturbing the labeled training samples … iphone x mac store
Data augmentation for text classification - Stack Overflow
WebWhen the data size increases or the imbalance ratio decreases, the improvement generated by the BERT augmentation becomes smaller or insignificant. Moreover, BERT … WebDec 17, 2024 · Conditional BERT Contextual Augmentation. Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu. We propose a novel data augmentation … WebDec 17, 2024 · Conditional BERT Contextual Augmentation. Xing Wu, Shangwen Lv, Liangjun Zang, Jizhong Han, Songlin Hu. We propose a novel data augmentation method for labeled sentences called conditional BERT contextual augmentation. Data augmentation methods are often applied to prevent overfitting and improve … iphone x market price