We present BAYESUM (for "Bayesian summarization"), a model for sentence extraction in query-focused summarization. BAYESUM leverages the common case in which multiple do...
Practices in new media art pose very interesting challenges to the multimedia research community in terms of software tools development, usage of media technologies or documentatio...
Abstract This paper describes the University of Sheffield entry for the 3rd International Competition on Plagiarism Detection which attempted the monolingual external plagiarism d...
Rao Muhammad Adeel Nawab, Mark Stevenson, Paul D. ...
Many important application areas of text classifiers demand high precision and it is common to compare prospective solutions to the performance of Naive Bayes. This baseline is us...
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...