TY - GEN
T1 - Modeling multiple-event situations across news articles
AU - Wagner, Earl J.
AU - Birnbaum, Lawrence A
AU - Forbus, Kenneth D
PY - 2009
Y1 - 2009
N2 - Readers interested in the context of an event covered in the news such as the dismissal of a lawsuit can benefit from easily finding out about the overall news situation, the legal trial, of which the event is a part. Guided by abstract models of news situation types such as legal trials, corporate acquisitions, and kidnappings, Brussell is a system that presents situation instances it creates by reading multiple articles about the specific events that comprise them. We discuss how these situation models are structured and how they drive the creation of particular instances.
AB - Readers interested in the context of an event covered in the news such as the dismissal of a lawsuit can benefit from easily finding out about the overall news situation, the legal trial, of which the event is a part. Guided by abstract models of news situation types such as legal trials, corporate acquisitions, and kidnappings, Brussell is a system that presents situation instances it creates by reading multiple articles about the specific events that comprise them. We discuss how these situation models are structured and how they drive the creation of particular instances.
KW - Algorithms
KW - Design
KW - I.2.4 knowledge representation formalisms and methods - frames and scripts
UR - http://www.scopus.com/inward/record.url?scp=70449638343&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=70449638343&partnerID=8YFLogxK
U2 - 10.1145/1597735.1597785
DO - 10.1145/1597735.1597785
M3 - Conference contribution
AN - SCOPUS:70449638343
SN - 9781605586588
T3 - K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture
SP - 207
EP - 208
BT - K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture
T2 - 5th International Conference on Knowledge Capture, K-CAP'09
Y2 - 1 September 2009 through 4 September 2009
ER -