Artificial Intelligence Research. Algorithms of Natural Language Generation
Artificial Intelligence and Natural Language Generation
How to understand a dissimilarity between AI and NLG? When people face a problem on a stage of a technological research, they get back to original sources and realize an innovation necessity.
Any trending technologies should always be improved and updated. AI, in its simple meaning, is a reproduction of a human intelligence by means of machines.
As for NLG, this is a process of a text production from computer information, when human, as a part of AI process, is closely interconnected with the machine.
There are some popular companies, who provide and develop NLG technologies: Attivio, Cambridge Semantics, Digital Reasoning, Automated Insights.
Algorithms of NGL
It must be noted that every NLG structure, as a product of AI, consists of 4 basic components:
- information source
- sociable goal
- customer model
- conversation model
The formula in the interconnection of all 4 components demonstrates a logical thought and it is following: “You know an information source and you want to say a sociable goal to customer model, using the style of conversation model”. That reminds everyone of a creation of a composition in a high school, doesn’t it?
NLG structure includes only 3 main processes: an information determination (based on the data and demands of customers), semantics & syntax building (a plan of sentences) and a base realization (final output).
The traditional algorithm of the NLG system is presented in figure 1:
A sequence of the components demonstrates an impossibility of a performance of whole working chain without any existing detail.
The algorithm of NLG structure as the search system has a different way of a building. In this case, a developer has a special set of potential solutions, and the main task of the developer is to find the most appropriate solution.
The search system can be formed in 3 possible ways: a grade climbing, a regular search, and a random search.
- grade climbing ‒ to make randomly the point on the map. Think carefully about all steps and to choose the best way.
- regular search ‒ to explore all potential solutions and to find the optimal one.
- random search ‒to provide some limitations and find the best solution based on the limitations.
The AI is a part of human achievements in reality. NLG is a branch of AI development. People should wisely practice everything they research, in particular, AI and NLG, and make proper conclusions.