@article{demberg:hoffmann:ki-2015, title = {Search Challenges in Natural Language Generation with Complex Optimization Objectives}, author = {Vera Demberg and J{\"o}rg Hoffmann and David M. Howcroft and Dietrich Klakow and {\'A}lvaro Torralba}, url = {https://link.springer.com/article/10.1007/s13218-015-0409-5}, year = {2015}, date = {2015}, journal = {KI - K{\"u}nstliche Intelligenz, Special Issue on Companion Technologies}, publisher = {Springer Berlin Heidelberg}, abstract = {
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 adaptation to a user or a situation. This requires optimizing complex objectives such as information density, in combinatorial search spaces described using declarative input languages. We believe that AI search and planning is a natural match for these problems, and could substantially contribute to solving them effectively. We illustrate this using a concrete example NLG framework, give a summary of the relevant optimization objectives, and provide an initial list of research challenges.
}, pubstate = {published}, type = {article} }