26 citations · 61 across the 10 of their papers we have counts for
3 papers · 1 filter
Privacy-Preserving Multi-Document Summarization
Luís Marujo, José Portêlo, Wang Ling +6
State-of-the-art extractive multi-document summarization systems are usually designed without any concern about privacy issues, meaning that all documents are open to third parties…
Using Generic Summarization to Improve Music Information Retrieval Tasks
Francisco Raposo, Ricardo Ribeiro, David Martins de Matos
In order to satisfy processing time constraints, many MIR tasks process only a segment of the whole music signal. This practice may lead to decreasing performance, since the most i…
Privacy-Preserving Important Passage Retrieval
Luis Marujo, José Portêlo, David Martins de Matos +5
State-of-the-art important passage retrieval methods obtain very good results, but do not take into account privacy issues. In this paper, we present a privacy preserving method th…