We present an integrated approach to speech and natural language processing which uses a single parser to create training for a statistical speech recognition component and for in...
A granular based semantics for fuzzy measures is introduced in which the measure of a set of propositions approximates the probability of the disjunction of these propositions. Th...
We propose a semantic framework for modelling the linear usage of continuations in typed call-by-name programming languages. On the semantic side, we introduce a construction for c...
- Integrating information about protein sequence and structure allows further exploration and establishment of protein sequence-structure-function relations. However, protein data ...
In text management tasks, the dimensionality reduction becomes necessary to computation and interpretability of the results generated by machine learning algorithms. This paper de...