Implicit information embedded in semantic web graphs, such as topography, clusters, and disconnected subgraphs is difficult to extract from text files. Visualizations of the graph...
Computational models of meaning trained on naturally occurring text successfully model human performance on tasks involving simple similarity measures, but they characterize meani...
Marco Baroni, Brian Murphy, Eduard Barbu, Massimo ...
Keyphrases are useful for a variety of purposes, including summarizing, indexing, labeling, categorizing, clustering, highlighting, browsing, and searching. The task of automatic ...
—More and more current software systems rely on non trivial coordination logic for combining autonomous services typically running on different platforms and often owned by diffe...
This paper presents a methodology for the real-time extraction of readers’ emotional state from documents as well as the representation of emotionally annotated documents into a...