%0 Generic %1 e-2011-Sarris %A Sarris, Nikos %A Potamianos, Gerasimos %A Renders, Jean-Michel %A Grover, Claire %A Karstens, Eric %A Kallipolitis, Leonidas %A Tountopoulos, Vasilis %A Petasis, Georgios %A Krithara, Anastasia %A Gallé, Matthias %A Jacquet, Guillaume %A Alex, Beatrice %A Tobin, Richard %A Bounegru, Liliana %B eChallenges 2011 %D 2011 %K imported %T A System for Synergistically Structuring News Content from Traditional Media and the Blogosphere %X News and social media are emerging as a dominant source of information for numerous applications. However, their vast unstructured content present challenges to efficient extraction of such information. In this paper, we present the SYNC3 system that aims to intelligently structure content from both traditional news media and the blogosphere. To achieve this goal, SYNC3 incorporates innovative algorithms that first model news media content statistically, based on fine clustering of articles into so-called "news events". Such models are then adapted and applied to the blogosphere domain, allowing its content to map to the traditional news domain. Furthermore, appropriate algorithms are employed to extract news event labels and relations between events, in order to efficiently present news content to the system end users.

@conference{e-2011-Sarris, abstract = {News and social media are emerging as a dominant source of information for numerous applications. However, their vast unstructured content present challenges to efficient extraction of such information. In this paper, we present the SYNC3 system that aims to intelligently structure content from both traditional news media and the blogosphere. To achieve this goal, SYNC3 incorporates innovative algorithms that first model news media content statistically, based on fine clustering of articles into so-called {"}news events{"}. Such models are then adapted and applied to the blogosphere domain, allowing its content to map to the traditional news domain. Furthermore, appropriate algorithms are employed to extract news event labels and relations between events, in order to efficiently present news content to the system end users.}, added-at = {2011-08-10T12:37:26.000+0200}, author = {Sarris, Nikos and Potamianos, Gerasimos and Renders, Jean-Michel and Grover, Claire and Karstens, Eric and Kallipolitis, Leonidas and Tountopoulos, Vasilis and Petasis, Georgios and Krithara, Anastasia and Gall{\'e}, Matthias and Jacquet, Guillaume and Alex, Beatrice and Tobin, Richard and Bounegru, Liliana}, biburl = {https://www.bibsonomy.org/bibtex/28920958038e6810ff9ec63dd16759aa0/petasis}, booktitle = {eChallenges 2011}, interhash = {4ce1f71c2bf8871723e4e725665e0002}, intrahash = {8920958038e6810ff9ec63dd16759aa0}, keywords = {imported}, month = {October 26--28}, timestamp = {2011-08-10T12:37:26.000+0200}, title = {{A} {S}ystem for {S}ynergistically {S}tructuring {N}ews {C}ontent from {T}raditional {M}edia and the {B}logosphere}, year = 2011 }