We present a revision learning model for improving the accuracy of a dependency parser. The revision stage corrects the output of the base parser by means of revision rules learne...
is an abstract graph reduction machine for the implementation of lazy functional languages. Categorical multi-combinators served as a basis for the evaluation model of µΓCMC. Th...
Ricardo Massa Ferreira Lima, Rafael Dueire Lins, A...
We present two methods for unsupervised segmentation of words into morphemelike units. The model utilized is especially suited for languages with a rich morphology, such as Finnis...
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Different modeling approaches have been proposed to overcome every design pitfall of the development of the different parts of a data warehouse (DW) system. However, they are all ...