We show that jointly performing semantic role labeling (SRL) on bitext can improve SRL results on both sides. In our approach, we use monolingual SRL systems to produce argument c...
This paper analyzes two joint inference approaches for semantic role labeling: re-ranking of candidate semantic frames generated by one local model and combination of two distinct ...
Appeared in: P. Bouquet, P. Br´ezillon, L. Serafini, M. Benerecetti, F. Castellani (Eds.), 2nd International and Interdisciplinary Conference on Modeling and Using Context (CONT...
We are developing a testbed for learning by demonstration combining spoken language and sensor data in a natural real-world environment. Microsoft Kinect RGBDepth cameras allow us...
The goal of this paper is to analyse semantics of algorithms with explicit continuous time with further aim to nd approaches to automatize model checking in high level, easily unde...