99 citations · 150 across the 18 of their papers we have counts for
5 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…
Extracting Biological Pathway Models From NLP Event Representations
Michael Spranger, Sucheendra K. Palaniappan, Samik Ghosh
This paper describes an an open-source software system for the automatic conversion of NLP event representations to system biology structured data interchange formats such as SBML…
Grounded Lexicon Acquisition - Case Studies in Spatial Language
Michael Spranger
This paper discusses grounded acquisition experiments of increasing complexity. Humanoid robots acquire English spatial lexicons from robot tutors. We identify how various spatial…
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…