Order-Planning Neural Text Generation From Structured Data

Understand

Generating texts from structured data (e.g., a table) is important for various natural language processing tasks such as question answering and dialog systems.

• In recent studies, researchers use neural language models and encoder-decoder frameworks for table-to-text generation.
• However, these neural network-based approaches do not model the order of contents during text generation.
• When a human writes a summary based on a given table, he or she would probably consider the content order before wording.