Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language
Abstract
We present a system for generating and understanding of dynamic and static spatial relations in robotic interaction setups. Robots describe an environment of moving blocks using English phrases that include spatial relations such as "across" and "in front of." We evaluate the system in robot-robot interactions and show that the system can robustly deal with visual perception errors, language omissions and ungrammatical utterances. PDF
Cite
Text
Spranger et al. "Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language." International Joint Conference on Artificial Intelligence, 2016.Markdown
[Spranger et al. "Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language." International Joint Conference on Artificial Intelligence, 2016.](https://mlanthology.org/ijcai/2016/spranger2016ijcai-robust/)BibTeX
@inproceedings{spranger2016ijcai-robust,
title = {{Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics, and Construction Grammar for Spatial Language}},
author = {Spranger, Michael and Suchan, Jakob and Bhatt, Mehul},
booktitle = {International Joint Conference on Artificial Intelligence},
year = {2016},
pages = {2908-2914},
url = {https://mlanthology.org/ijcai/2016/spranger2016ijcai-robust/}
}