Geração de Linguagem Natural (NLG)
Linguagem Natural Generation (NLG) is a subfield of inteligência artificial (AI) and linguística computacional focused on creating natural language text from structured data. NLG processes the input data and generates coherent and contextually relevant narratives, reports, or summaries in human language.
Os sistemas de GNL utilizam algoritmos e modelos avançados, muitas vezes baseados em técnicas de aprendizado de máquina, to analyze data sources such as databases, spreadsheets, or even complex API inputs. They can produce text in various forms, including articles, product descriptions, and personalized communications.
O processo de NLG normalmente envolve várias etapas principais:
- Determinação de Conteúdo: Deciding what information to include based on the data and the intended audience.
- Estruturação do Documento: Organizing the chosen content into a coherent structure, such as paragraphs or sections.
- Lexicalização: Selecting appropriate words and phrases to express the structured information clearly and engagingly.
- Realização de Superfície: Generating the final text output in a grammatically correct and stylistically appropriate manner.
NLG is used in various applications, such as generating automated reports in finance, creating personalized content for marketing, or even assisting in storytelling and creative writing. As tecnologia de IA continues to evolve, NLG systems are becoming more sophisticated, enabling them to produce text that closely mimics human writing styles and adapts to different contexts.