Natural Language Generation (NLG) is an artificial intelligence-driven software process that generates human-like written or spoken language from both structured and unstructured data. As a component of Natural Language Processing (NLP), it collaborates with Natural Language Understanding (NLU) to create text that mirrors human communication. NLG has a wide range of applications, including the automation of customer service responses, the generation of reports from numerical data, and the creation of intelligent chatbots. The NLG process encompasses various stages such as content analysis, understanding data, structuring documents, aggregating sentences, structuring grammar, and presenting language.
NLG finds its use in numerous applications like chatbots, voice assistants, report generation, and automated email responses. It can greatly enhance efficiency, boost accuracy and augment personalization in different scenarios. Computational linguistics, natural language processing (NLP), and natural language understanding (NLU) are some processes that enable NLG technology.
The advantages of employing NLG are manifold - it enhances efficiency, boosts accuracy and augments personalization. By automating tasks that consume time, reducing errors and customizing information for specific individuals, NLG systems can significantly improve customer satisfaction leading to repeat business.
In conclusion, as a potent AI technology with the capability to automate the creation of human-like text from data sources, NLG holds immense potential to revolutionize various industries.
NLG Use Cases:
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Generation of Freeform Text: NLG has the capability to produce freeform text independent of structured data, facilitating the creation of articles, blog posts, emails, among others.
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Answering Questions: Various domains such as knowledge base queries, chatbots, and FAQs can utilize NLG for their question answering systems.
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Summarization: With NLG’s ability to condense large amounts of data into succinct outputs, it aids in document summarization and report generation.
Departments Implementing NLG:
- A range of departments like marketing, customer service, and employee interactions employ NLG to automate content production, enhance team productivity, and improve customer experiences.
Industry Applications of NLG:
- Industries such as retail, financial services, news & media, energy sector, weather forecasting agencies, enterprise reporting firms, life sciences organizations extensively use NLG for tasks varying from product descriptions to regulatory reporting.
NLG is instrumental in augmenting customer interactions across various sectors by automating content creation processes and enhancing operational efficiency while personalizing digital experiences.
