This paper generalizes the idea of traditional syntactic text autocompletion onto the semantic level. The idea is to autocomplete typed text into ontological categories instead of ...
Abstract. Software maintainers routinely have to deal with a multitude of artifacts, like source code or documents, which often end up disconnected, due to their different represen...
Internet content today is about 80% text-based. No matter static or dynamic, the information is encoded and presented as multilingual, unstructured natural language text pages. As ...
Pavlin Dobrev, Albena Strupchanska, Galia Angelova
This paper provides a novel Web image clustering methodology based on their associated texts. In our approach, the semantics of Web images are firstly represented into vectors of t...
Text transcoders are web–server systems that produce, on the fly, a text–only version of a web page requested by a user of a browser. Although the potential benefits of text...
Giorgio Brajnik, Daniela Cancila, Daniela Nicoli, ...