Most attempts to integrate FrameNet in NLP systems have so far failed because of its limited coverage. In this paper, we investigate the applicability of distributional and WordNe...
Marco Pennacchiotti, Diego De Cao, Roberto Basili,...
This paper details our experiments carried out at TREC 2008 Relevance Feedback Track. We focused on the analysis of feedback documents, both relevant and non-relevant, to explore ...
We present BAYESUM (for "Bayesian summarization"), a model for sentence extraction in query-focused summarization. BAYESUM leverages the common case in which multiple do...
We report on the development of a relational genomic search engine that integrates search of structured biological data and biomedical literature. After identifying an optimal prep...
Message passing overhead is often a substantial source of runtime overhead in object-oriented applications. To combat this performance problem, a number of techniques have been de...