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

6 citations · 6 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2017

External Evaluation of Event Extraction Classifiers for Automatic Pathway Curation: An extended study of the mTOR pathway

Wojciech Kusa, Michael Spranger

This paper evaluates the impact of various event extraction systems on automatic pathway curation using the popular mTOR pathway. We quantify the impact of training data sets as we…

cs.CL2016

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…

cs.CL2016

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…

cs.CL2016

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…

cs.AI20166 cited

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…