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Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics and Construction Grammar for Spatial Language

2016/07/20 by Michael Spranger, Spranger, Michael, Jakob Suchan +3
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Constraint Satisfaction and Optimization #Data Management and Algorithms #FOS: Computer and information sciences #Geographic Information Systems Studies #Natural Language Processing Techniques #Speech and dialogue systems #cs.AI #cs.CL

paper · pdf · doi:10.48550/arxiv.1607.05968

in IJCAI'16: Proceedings of the 25th international joint conference on Artificial intelligence, Palo Alto, 2016. AAAI Press

arxiv created 2016/07/20 · openalex publication_date 2016/07/20 · arxiv updated 2016/07/21 · openalex created_date 2019/07/30 · openalex updated_date 2026/07/28

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.

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