Natural Language Generation: Algorithms and Applications
Keywords:
Natural Language Generation, NLG Methods, Text Generation, Conversational AI, Ethical AIAbstract
Natural Language Generation (NLG) is a critical area within artificial intelligence andcomputational linguistics, focused on converting structured data into human-like language.With applications spanning journalism, healthcare, business analytics, and virtual assistants,NLG is becoming increasingly integral in automating communication and enhancing userinteraction.
References
Arora, S., Li, Y., & Ma, T. (2016). A Simple but Tough-to-Beat Baseline for Sentence Embeddings. arXiv preprint arXiv:1607.01759.
Bender, E. M., Gebru, T., McMillan-Major, A., & Shmitchell, S. (2021). On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? arXiv preprint arXiv:2105.14038.References:
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Published
2024-05-08
How to Cite
Dr. F Rahman, Dr. Priya Vij. (2024). Natural Language Generation: Algorithms and Applications . Journal of Computational Analysis and Applications (JoCAAA), 33(05), 1348–1355. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2562
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