… on data augmentation still remains understudied by the NLP community. To facilitate
research in this direction, we study style transfer as data augmentation and propose a novel …

… Named Entity Recognition (NER) systems often demonstrate great performance on in-distribution
data, but … (as high or low) and making small corrections. Before annotating the full set of …

… a novel Biomedical Named Entity Recognition (BioNER) framework with label re-correction
and … -task learning could improve performance to a certain extent though data augmentation. …

… augment the dataset by adding OverProof data1 in English. We use 100% of ICDAR2017’s
and Overproof’s data as training data. … to the inclusion of novel deep learning techniques and …

Objective We aimed to enhance the performance of a supervised model for clinical named-entity
recognition (NER) using medical terminologies. In order to evaluate our system in …

… In Section 5, we present a novel adversarial training method … resolution, and grammar error
correction has a negative impact … , we propose a data augmentation approach that introduces …

… The timeline of the research articles used in this work spans from the initial usage of the
technology to present-day novel techniques proposed in various domains such as biomedical …

… data augmentation, as well as approaches for solving the problem of nested named entities
extraction… For example, Sun and Jiang [8] propose an algorithm for correcting misspelled …

… a novel augmented variant of the Transformer model that encodes both the word and phoneme
sequence of an entity, … named entities. We evaluate our method on both the ASR error …

… the generalization behavior from multiple novel angles, which con… Finally, we corrected 65
sentences in the test set, and 14 … multiple training sets for data augmentation, the order of the …