Current corpus-based machine translation techniques do not work very well when given scarce linguistic resources. To examine the gap between human and machine translators, we crea...
When humans produce summaries of documents, they do not simply extract sentences and concatenate them. Rather, they create new sentences that are grammatical, that cohere with one...
We propose a 3D computational model for projective relations which is used in an integrated image and speech understanding system. The image and speech understanding system is bei...
Constanze Vorwerg, Gudrun Socher, Thomas Fuhr, Ger...
End-user interactive machine learning is a promising tool for enhancing human productivity and capabilities with large unstructured data sets. Recent work has shown that we can cr...
Saleema Amershi, James Fogarty, Ashish Kapoor, Des...
Real-time vehicle location information enables to facilitate more efficient decision-making in dynamic automotive shipment yard environment. This paper proposes a multiagent-based ...
Jindae Kim, Changsoo Ok, Soundar R. T. Kumara, Sha...