Text Annotation Handbook: A Practical Guide for Machine Learning Projects

• URL: http://arxiv.org/abs/2310.11780v1
• Date: Wed, 18 Oct 2023 08:19:53 GMT
• Title: Text Annotation Handbook: A Practical Guide for Machine Learning Projects
• Authors: Felix Stollenwerk, Joey \"Ohman, Danila Petrelli, Emma Waller\"o, Fredrik Olsson, Camilla Bengtsson, Andreas Horndahl, Gabriela Zarzar Gandler
• Abstract summary: This handbook is a hands-on guide on how to approach text annotation tasks. It provides a gentle introduction to the topic, an overview of theoretical concepts as well as practical advice. The focus lies on readability and conciseness rather than completeness and scientific rigor.
• Score: 2.3923780449666165
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: This handbook is a hands-on guide on how to approach text annotation tasks. It provides a gentle introduction to the topic, an overview of theoretical concepts as well as practical advice. The topics covered are mostly technical, but business, ethical and regulatory issues are also touched upon. The focus lies on readability and conciseness rather than completeness and scientific rigor. Experience with annotation and knowledge of machine learning are useful but not required. The document may serve as a primer or reference book for a wide range of professions such as team leaders, project managers, IT architects, software developers and machine learning engineers.

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