• Kaustubh Devkar
• Hemant Oza
• Parmeshwar Matkar
• Sourabh More
• Anita Shinde

Natural Language generation is an emerging field of AI. It deals with generating natural language responses that can be easily understood by humans. Understanding structured data and generating reports based on this analysis is an important task for major corporations. In this paper, we try to present various techniques that are used to perform this task. We are focusing on deep learning based technique to convert structured data into its equivalent natural language descriptions. Recent advancement in deep learning led usage of models like encoder–decoder mechanism along with attention to help decoder understand where to focus exactly. We discuss the data preparations methods involved as well as various attention models used for performing this task.

Artificial Intelligence, Natural Language Generation, Machine Learning, Deep Learning

"Generating Descriptions of Structured Data using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.136-139, December-2018, Available :http://www.jetir.org/papers/JETIR1812319.pdf

"Generating Descriptions of Structured Data using Deep Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp136-139, December-2018, Available at : http://www.jetir.org/papers/JETIR1812319.pdf