Novel data augmentation for named entity recognition

• Published in: International journal of speech technology Vol. 26; no. 4; pp. 869 - 878
• Main Authors: Hemateja, Aluru V. N. M., Kondakath, Gopikrishnan, Das, Susruta, Kothandaraman, Mohanaprasad, Shoba, S., Pandey, Abhishek, Babu, Rajin, Jain, Abhinav
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.12.2023; Springer Nature B.V
• Subjects: Algorithms; Artificial Intelligence; Data augmentation; Datasets; Engineering; Natural language processing; Performance enhancement; Recognition; Search engines; Sentences; Signal,Image and Speech Processing; Social Sciences; Synthetic data; Transformers; Augmentation; Seq2Seq; Named entity recognition (NER); RoBERTa; Sanity checker; Word2Vec; ELMo; BERT; Natural language processing (NLP)

Named entity recognition (NER) is a crucial Natural language processing (NLP) task used in applications like voice assistants, search engines, customer support, etc. A lack of entities relevant to the use case makes the available datasets insufficient for training. Data augmentation is a method in w...