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Transformed spatial mappings were used to perturb normal visual-motor processes and reveal the structure of internal spatial representations used by the motor control system. In a 2-D discrete aiming task performed under rotated visual-motor mappings, the pattern of spatial movement error was the same for all Ss: peak error between 90 degrees and 135(More)
Previous research on adaptation to visual-motor rearrangement suggests that the central nervous system represents accurately only 1 visual-motor mapping at a time. This idea was examined in 3 experiments where subjects tracked a moving target under repeated alternations between 2 initially interfering mappings (the "normal" mapping characteristic of(More)
In recent years, following the rapid development in the Semantic Web and Knowledge Management research, ontologies have become more in demand in Natural Language Processing. An increasing number of systems use ontologies either internally, for modelling the domain of the application, or as data structures that hold the output resulting from the work of the(More)
NLP infrastructures with comprehensive multilingual support can substantially decrease the overhead of developing Information Extraction (IE) systems in new languages by offering support for different character encodings, language-independent components, and clean separation between linguistic data and the algorithms that use it. This paper will present(More)
Under a 90 degrees rotation of motor space relative to visual space, human two-dimensional aiming movements frequently take the form of smooth arcs such as spirals and semi-circles. A time-independent differential equation explains this tendency in terms of a rotation-induced vector field made up, at each point in the two-dimensional space, of two input(More)
The traditional process of document annotation for knowledge identification and extraction in the Semantic Web (SW) is complex and time consuming, as it requires human manual annotation. There is currently a strong interest in Text Mining technologies (and in particular in Human Language-based Technologies), for reducing the burden of text annotation e.g.(More)
  • H Saggion, H Cunningham, Bontcheva, K Maynard, D Hamza, O Wilks +10 others
  • 2009
NOTES: With asterisk (*) I indicate the publications for wich I am one of the lead authors. With italics, I indicate the most significant papers. • (*) Multimedia indexing through multi-source and multi-language information extraction: the MUMIS project. NOTES: With asterisk (*) I indicate the publications for wich I am one of the lead authors. With(More)