We present a data-driven variant of the LR algorithm for dependency parsing, and extend it with a best-first search for probabilistic generalized LR dependency parsing. Parser act...
This paper presents a probabilistic model for sense disambiguation which chooses the best sense based on the conditional probability of sense paraphrases given a context. We use a...
The adoption of Domain-Specific Modeling Languages (DSMLs) for generating framework-based applications has proved to be an effective way of enforcing the correct use of frameworks...
Optimization of execution plans in information mediators is a critical task, specially when sources are remote and semistructured, as in the case of transactional web sites. Lack ...
In this paper, we propose a new integration approach for simulation and behaviour in the learning context that is able to coherently manage the shared virtual environment for the ...