Social network and data portability has recently gained a lot of interest as one of the issues for social media sites on the Web. In this paper, we will show how Semantic Web techn...
Uldis Bojars, Alexandre Passant, John G. Breslin, ...
In this paper we show how to train statistical machine translation systems on reallife tasks using only non-parallel monolingual data from two languages. We present a modificatio...
We present a Gaussian Mixture model for detecting different types of figurative language in context. We show that this model performs well when the parameters are estimated in an ...
This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
We have studied the problem of linking event information across different languages without the use of translation systems or dictionaries. The linking is based on interlingua in...