Natural Language Generation (NLG) for Automated Report Generation

Authors

  • Deepak Nanuru Yagamurthy 7 Eleven Inc
  • Rajesh Azmeera Stryker
  • Rhea Khanna Microsoft

DOI:

https://doi.org/10.47941/jts.1497

Keywords:

Natural Language Generation, Machine Learning, Artificial Intelligence, Quality Assurance

Abstract

Automated report generation plays a vital role in numerous industries, enabling efficient and accurate communication of complex data. Natural Language Generation (NLG) is a powerful technique that leverages artificial intelligence (AI) to transform structured data into human-readable narratives. This white paper provides an overview of NLG and its applications in automated report generation. We explore the benefits, challenges, and best practices associated with NLG-based report generation, along with real-world examples. Furthermore, we discuss the current state of the technology, future prospects, and potential ethical considerations.

Downloads

Download data is not yet available.

Author Biographies

Deepak Nanuru Yagamurthy, 7 Eleven Inc

Technology Professional, Department of Information and Technology

Rajesh Azmeera, Stryker

Technology Professional, Department of Information and Technology

Rhea Khanna, Microsoft

Technology Professional, Department of Research

References

. Natural Language Generation. SinceDirect. [Online]. Available at: https://www.sciencedirect.com/topics/social-sciences/natural-language-generation

. National Library of Medicine. NCBI. [Online]. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC61265/

. Gartner: Natural Language Generation (NLG) Market Overview. [Online]. Available at: https://www.gartner.com/en/documents/3942031

. Ehud Reiter and Robert Dale. [Press]. Building Natural Language Generation Systems.Cambridge University Press.

. Christopher D. Manning and Hinrich Schütze. [Book]. Automated Insights: Narrative Science for Business Intelligence.

. Daniel T. Hindle. [Book]. Natural Language Generation for Business.

. Ian Goodfellow, Yoshua Bengio, Aaron Courville, [Book]. Deep Learning (Adaptive Computation and Machine Learning series 1.

. Ian Goodfellow, Yoshua Bengio, Aaron Courville [Book]. Deep Learning Adaptive Computation and Machine Learning Series II

. John Paul Mueller, Luca Massaron, [Book]. Deep Learning for Dummies

. Image Recognition with Deep Neural Networks and its Use Cases, [Online]. Available at:

https://www.altexsoft.com/blog/image-recognition-neural-networks-use-cases/

Downloads

Published

2023-11-09

How to Cite

Yagamurthy, D. N. ., Azmeera, R., & Khanna, R. (2023). Natural Language Generation (NLG) for Automated Report Generation. Journal of Technology and Systems, 5(1), 48–59. https://doi.org/10.47941/jts.1497

Issue

Vol. 5 No. 1 (2023)

Section

Articles

License

Copyright (c) 2023 Deepak Nanuru Yagamurthy, Rajesh Azmeera, Rhea Khanna

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution (CC-BY) 4.0 License that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.