planning

From OpenCCG to AI Planning: Detecting Infeasible Edges in Sentence Generation

The search space in grammar-based natural language generation tasks can get very large, which is particularly problematic when generating long utterances or paragraphs. Using surface realization with OpenCCG as an example, we show that we can …

Search Challenges in Natural Language Generation with Complex Optimization Objectives

Automatic natural language generation (NLG) is a difficult problem already when merely trying to come up with natural-sounding utterances. Ubiquituous applications, in particular companion technologies, pose the additional challenge of flexible …