Rendering highly complex models can be time and space prohibitive, and decimation is an important tool in providing simplifications. A decimated model may replace the original ent...
Representing documents by vectors that are independent of language enhances machine translation and multilingual text categorization. We use discriminative training to create a pr...
Structural constraint solving allows finding object graphs that satisfy given constraints, thereby enabling software reliability tasks, such as systematic testing and error recove...
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
The design of efficient textual similarities is an important issue in the domain of textual data exploration. Textual similarities are for example central in document collection s...