Natural Language Generation: An AI Frontier

Research Note

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Summary

As consumers become accustomed to simple conversational interfaces—from Alexa to Siri—application developers are turning to modern AI Natural Language Processing technologies to deliver even more robust conversational and content generation systems.

Natural Language Understanding (NLU) systems have received more attention than Natural Language Generation (NLG), which have tended to be template-driven. That is beginning to change as leading vendors develop more advanced NLG technologies capable of generating—rather than selecting—context-appropriate natural language reports and responses from rich data models and streams.

In this research note, Adrian Bowles defines Natural Language Generation, its relationship to AI, and its applications in the emerging market.

 

Identified Vendors:

Arc Publishing
Arria
Automated Insights
Ax-Semantics
IBM
Narrative Science
NewsRx
Retresco
Yseop

 


 


 

 

Research Note Details

Topic: Artificial Intelligence
Issue: How and why is Natural Language Generation (NLG) becoming an important tool for application development and enhancement?
Research Note Number: 2017-41
Length: 8 pages
File Size: 3.4 MB
File Type: Portable Document Format (PDF)
Language: English
Publisher: Aragon Research
Author: Adrian Bowles, VP of Research and Aragon Fellow