Modeling multiple-event situations across news articles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish (US)
Title of host publicationK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture
Pages207-208
Number of pages2
DOIs
StatePublished - Nov 23 2009
Event5th International Conference on Knowledge Capture, K-CAP'09 - Redondo Beach, CA, United States
Duration: Sep 1 2009Sep 4 2009

Publication series

NameK-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture

Other

Other5th International Conference on Knowledge Capture, K-CAP'09
CountryUnited States
CityRedondo Beach, CA
Period9/1/099/4/09

Keywords

  • Algorithms
  • Design
  • I.2.4 knowledge representation formalisms and methods - frames and scripts

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Software

Cite this

Wagner, E. J., Birnbaum, L. A., & Forbus, K. D. (2009). Modeling multiple-event situations across news articles. In K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture (pp. 207-208). [1597785] (K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture). https://doi.org/10.1145/1597735.1597785
Wagner, Earl J. ; Birnbaum, Lawrence A ; Forbus, Kenneth D. / Modeling multiple-event situations across news articles. K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture. 2009. pp. 207-208 (K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture).
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abstract = "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.",
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Wagner, EJ, Birnbaum, LA & Forbus, KD 2009, Modeling multiple-event situations across news articles. in K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture., 1597785, K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture, pp. 207-208, 5th International Conference on Knowledge Capture, K-CAP'09, Redondo Beach, CA, United States, 9/1/09. https://doi.org/10.1145/1597735.1597785

Modeling multiple-event situations across news articles. / Wagner, Earl J.; Birnbaum, Lawrence A; Forbus, Kenneth D.

K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture. 2009. p. 207-208 1597785 (K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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KW - Design

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Wagner EJ, Birnbaum LA, Forbus KD. Modeling multiple-event situations across news articles. In K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture. 2009. p. 207-208. 1597785. (K-CAP'09 - Proceedings of the 5th International Conference on Knowledge Capture). https://doi.org/10.1145/1597735.1597785