Deep learning-based text augmentation for named entity recognition

Deep learning-based text augmentation for named entity recognition

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...

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Bibliographic Details
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

Internet

https://hdl.handle.net/10356/171105

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