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At present tagging is experimenting a great diffusion as the most adopted way to collaboratively classify resources over the Web. In this paper, after a detailed analysis of the attempts made to improve the organization and structure of tagging systems as well as the usefulness of this kind of social data, we propose and evaluate the Tag Disambiguation(More)
Automatic detection of figurative language is a challenging task in computational linguistics. Recognising both literal and figurative meaning is not trivial for a machine and in some cases it is hard even for humans. For this reason novel and accurate systems able to recognise figurative languages are necessary. We present in this paper a novel(More)
In order to cope with the growing number of relevant scientific publications to consider at a given time, automatic text summariza-tion is a useful technique. However, summarizing scientific papers poses important challenges for the natural language processing community. In recent years a number of evaluation challenges have been proposed to address the(More)
By analysing the current structure and the usage patterns of collaborative tagging systems, we can find out many important aspects which still need to be improved. Problems related to synonymy, polysemy, different lexical forms, mis-pelling errors or alternate spellings, different levels of precision and different kinds of tag-to-resource association cause(More)
Nowadays the Web represents a growing collection of an enormous amount of contents where the need for better ways to find and organize the available data is becoming a fundamental issue, in order to deal with information overload. Keyword based Web searches are actually the preferred mean to seek for contents related to a specific topic. Search engines and(More)
The Computational Linguistics (CL) Summa-rization Pilot Task was created to encourage a community effort to address the research problem of summarizing research articles as " faceted summaries " in the domain of computational linguistics. In this pilot stage, a hand-annotated set of citing papers was provided for ten reference papers to help in automating(More)
Dr Inventor is a system that is at once, a computational model of creative thinking and also a tool to ignite the creativity process among its users. Dr Inventor uncovers creative bisociations between semi-structured documents like academic papers, patent applications and psychology materials, by adopting a " big data " perspective to discover creative(More)