Domain knowledge learning techniques for natural language generation

摘要

Techniques for identifying vocabulary associated with semantic objects used for generating natural language text with a natural language generation (NLG) system, the semantic objects including a first semantic object having a first set of ordered attributes. The techniques include: obtaining text segments; identifying, from among the text segments and using at least one first machine learning classifier, groups of text segments corresponding to respective semantic objects in the plurality of semantic objects; identifying, from the groups of text segments and using at least one second machine learning classifier, a plurality of vocabularies for the plurality of semantic objects; and generating natural language text using the NLG system, the plurality of vocabularies, and the plurality of semantic objects; and outputting the generated natural language text.