A Look Back at the Merits of Natural Language Generation

Why NLG is Important

Natural language generation, or NLG, is a field of artificial intelligence that deals with the generation of human-like text from structured data. NLG systems are used in a wide variety of applications, such as:

• Automated journalism
• Chatbots
• Summarization
• Machine translation

NLG systems have a number of advantages over traditional text generation methods. First, NLG systems can generate text that is more fluent and natural-sounding than text generated by rule-based systems. Second, NLG systems can generate text that is more informative and comprehensive than text generated by humans. Third, NLG systems can generate text more quickly and efficiently than humans.

Challenges in NLG

Despite the advantages of NLG, there are a number of challenges that must be overcome before NLG systems can be widely used. One challenge is the difficulty of generating text that is both accurate and informative. Another challenge is the difficulty of generating text that is appropriate for the intended audience. Finally, the development of NLG systems requires a large amount of data and expertise.

Conclusion

NLG is a promising field of research with the potential to revolutionize the way that we communicate with computers. However, there are a number of challenges that must be overcome before NLG systems can be widely used. As these challenges are overcome, NLG is likely to become an increasingly important tool in a variety of applications.