Classic textual question answering (QA) approaches that rely on statistical keyword relevance scoring without exploiting semantic content are useful to a certain extent, but are li...
Nuno Cardoso, Iustin Dornescu, Sven Hartrumpf, Joh...
In robotics, recognition of human activity has been used extensively for robot task learning through imitation and demonstration. However, there has not been much work on modeling...
Isabel Serrano Vicente, Ville Kyrki, Danica Kragic...
Generalization, in its most basic form, is an artificial neural network's (ANN's) ability to automatically classify data that were not seen during training. This paper p...
The Slot Filling task requires a system to automatically distill information from a large document collection and return answers for a query entity with specified attributes (`slot...
Zheng Chen, Suzanne Tamang, Adam Lee, Xiang Li, Ma...
This paper addresses the problem of dynamic model parameter selection for loglinear model based statistical machine translation (SMT) systems. In this work, we propose a principle...