Deep learning-based text augmentation for named entity recognition

• Main Author: Surana, Tanmay
• Other Authors: Chng Eng Siong
• Format: Thesis-Master by Research
• Language: English
• Published: Nanyang Technological University 2023
• Subjects: Engineering::Computer science and engineering::Computing methodologies::Document and text processing; Engineering::Computer science and engineering; Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence; Engineering::Computer science and engineering::Information systems::Information storage and retrieval
• Online Access: https://hdl.handle.net/10356/171105
• Institution: Nanyang Technological University

This thesis is focused on the development of an effective text augmentation method for Named Entity Recognition (NER) in the low-resource setting. NER, an important sequence labeling task in Natural Language Processing, is used to identify predefined entities in text. NER datasets tend to be smal...