A7: Controlling Information Density in Discourse Generation
Project A7 aims to develop a system which generates effective technical instruction videos for the computer game “Minecraft”. This system will implement a rational speaker who trades off communicative success (being understood by the listener) against succinctness, in particular with respect to the listener’s domain knowledge and the division of labor between language and video. To find near-optimal communicative choice efficiently enough for interactive use, the project will advance heuristic search methods within and across the generation of individual sentences.
The PANDA Framework for Hierarchical Planning Journal Article
Künstliche Intelligenz, 2021.
Landmark Generation in HTN Planning Inproceedings
Proceedings of the 35th AAAI Conference on Artificial Intelligence (AAAI), AAAI Press, 2021.
Proceedings of the 28th International Conference on Computational Linguistics, pp. 2802-2813, International Committee on Computational Linguistics, Barcelona, Spain (Online), 2020.
Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI), pp. 4076-4083, IJCAI organization, 2020.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 53-56, Association for Computational Linguistics, 1st virtual meeting, 2020.
Applying Monte-Carlo Tree Search in HTN Planning Inproceedings
Proceedings of the 13th International Symposium on Combinatorial Search (SoCS), pp. 82-90, AAAI Press, Vienna, Austria, 2020.
HTN Plan Repair via Model Transformation Inproceedings
Proceedings of the 43rd German Conference on Artificial Intelligence (KI), pp. 88-101, Springer, 2020.
Proceedings of the 12th International Conference on Natural Language Generation, pp. 1-10, Association for Computational Linguistics, Tokyo, Japan, 2019.
Construction-Planning Models in Minecraft Inproceedings
Proceedings of the 2nd Workshop on Hierarchical Planning at ICAPS 2019, pp. 1-5, 2019.