We present Tefkat, an implementation of a language designed specically for the transformation of MOF models using patterns and rules. The language adopts a declarative paradigm, w...
In our participation to the 2010 LogCLEF track we focused on the analysis of the European Library (TEL) logs and in particular we experimented with the identification of the natura...
We present a document understanding system in which the arrangement of lines of text and block separators within a document are modeled by stochastic context free grammars. A gram...
John C. Handley, Anoop M. Namboodiri, Richard Zani...
Previous work on Natural Language Processing for Information Retrieval has shown the inadequateness of semantic and syntactic structures for both document retrieval and categoriza...
In this paper, we investigate how modeling content structure can benefit text analysis applications such as extractive summarization and sentiment analysis. This follows the lingu...