6 citations · 7 across the 6 of their papers we have counts for
4 papers · 1 filter
Referential Uncertainty and Word Learning in High-dimensional, Continuous Meaning Spaces
Michael Spranger, Katrien Beuls
This paper discusses lexicon word learning in high-dimensional meaning spaces from the viewpoint of referential uncertainty. We investigate various state-of-the-art Machine Learnin…
Measuring the State of the Art of Automated Pathway Curation Using Graph Algorithms - A Case Study of the mTOR Pathway
Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh
This paper evaluates the difference between human pathway curation and current NLP systems. We propose graph analysis methods for quantifying the gap between human curated pathway…
Grounding Dynamic Spatial Relations for Embodied (Robot) Interaction
Michael Spranger, Jakob Suchan, Mehul Bhatt +1
This paper presents a computational model of the processing of dynamic spatial relations occurring in an embodied robotic interaction setup. A complete system is introduced that al…
Robust Natural Language Processing - Combining Reasoning, Cognitive Semantics and Construction Grammar for Spatial Language
Michael Spranger, Jakob Suchan, Mehul Bhatt
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 En…