TY - GEN
T1 - Tell me more, not just "more of the same"
AU - Iacobelli, Francisco
AU - Birnbaum, Lawrence A
AU - Hammond, Kristian J
PY - 2010
Y1 - 2010
N2 - The Web makes it possible for news readers to learn more about virtually any story that interests them. Media outlets and search engines typically augment their information with links to similar stories. It is up to the user to determine what new information is added by them, if any. In this paper we present Tell Me More, a system that performs this task automatically: given a seed news story, it mines the web for similar stories reported by different sources and selects snippets of text from those stories which offer new information beyond the seed story. New content may be classified as supplying: additional quotes, additional actors, additional figures and additional information depending on the criteria used to select it. In this paper we describe how the system identifies new and informative content with respect to a news story. We also how that providing an explicit categorization of new information is more useful than a binary classification (new/not-new). Lastly, we show encouraging results from a preliminary evaluation of the system that validates our approach and encourages further study.
AB - The Web makes it possible for news readers to learn more about virtually any story that interests them. Media outlets and search engines typically augment their information with links to similar stories. It is up to the user to determine what new information is added by them, if any. In this paper we present Tell Me More, a system that performs this task automatically: given a seed news story, it mines the web for similar stories reported by different sources and selects snippets of text from those stories which offer new information beyond the seed story. New content may be classified as supplying: additional quotes, additional actors, additional figures and additional information depending on the criteria used to select it. In this paper we describe how the system identifies new and informative content with respect to a news story. We also how that providing an explicit categorization of new information is more useful than a binary classification (new/not-new). Lastly, we show encouraging results from a preliminary evaluation of the system that validates our approach and encourages further study.
KW - Dimensions of similarity
KW - Information retrieval
KW - New information detection
UR - http://www.scopus.com/inward/record.url?scp=77951115825&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77951115825&partnerID=8YFLogxK
U2 - 10.1145/1719970.1719982
DO - 10.1145/1719970.1719982
M3 - Conference contribution
AN - SCOPUS:77951115825
SN - 9781605585154
T3 - International Conference on Intelligent User Interfaces, Proceedings IUI
SP - 81
EP - 90
BT - IUI 2010 - Proceedings of the 14th ACM International Conference on Intelligent User Interfaces
T2 - 14th ACM International Conference on Intelligent User Interfaces, IUI 2010
Y2 - 7 February 2010 through 10 February 2010
ER -