Publication Details
Title: Precedes: A Semantic Relation in FrameNet
Author: M. R. L. Petruck and G. de Melo
Bibliographic Information: Proceedings of the Workshop on Language Resources for Public Security Applications at the 8th Conference on International Language Resources and Evaluation (LREC 2012), Istanbul, Turkey, pp.45-49
Date: May 2012
Research Area: AI
Type: Article in conference proceedings
PDF: http://www.icsi.berkeley.edu/pubs/ai/precedessemantic12.pdf
Overview:
Automatic language processing systems depend on, among others factors, the effectiveness in modeling human cognitive abilities, including the capacity to draw inferences about prototypical or expected sequences of events and their temporal order. Appropriate response to a crisis is as important for public security as are efforts to prevent any such natural or man made disaster. Recent research (Mehrota et al. 2008) has recognized the need for accurate and actionable situation awareness during emergencies, where timely status updates are critical for effective crisis management. The present paper constitutes a contribution to situation awareness for Natural Language Processing (NLP) applications to improve communication among first responders, and features the frame-to-frame semantic relation Precedes, as implemented in FrameNet (http://framenet.icsi.berkeley.edu). Specifically, this work demonstrates the necessity and importance of the information encoded with Precedes for NLP applications, advocating the inclusion of such information in systems for security applications.
Acknowledgements:
This work was partially supported by funding provided to ICSI by the U.S. Defense Advanced Research Projects Agency (DARPA). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of DARPA or of the U.S. Government. Additional support was provided to ICSI by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Reference:
M. R. L. Petruck and G. de Melo. Precedes: A Semantic Relation in FrameNet. Proceedings of the Workshop on Language Resources for Public Security Applications at the 8th Conference on International Language Resources and Evaluation (LREC 2012), Istanbul, Turkey, pp.45-49, May 2012
Author: M. R. L. Petruck and G. de Melo
Bibliographic Information: Proceedings of the Workshop on Language Resources for Public Security Applications at the 8th Conference on International Language Resources and Evaluation (LREC 2012), Istanbul, Turkey, pp.45-49
Date: May 2012
Research Area: AI
Type: Article in conference proceedings
PDF: http://www.icsi.berkeley.edu/pubs/ai/precedessemantic12.pdf
Overview:
Automatic language processing systems depend on, among others factors, the effectiveness in modeling human cognitive abilities, including the capacity to draw inferences about prototypical or expected sequences of events and their temporal order. Appropriate response to a crisis is as important for public security as are efforts to prevent any such natural or man made disaster. Recent research (Mehrota et al. 2008) has recognized the need for accurate and actionable situation awareness during emergencies, where timely status updates are critical for effective crisis management. The present paper constitutes a contribution to situation awareness for Natural Language Processing (NLP) applications to improve communication among first responders, and features the frame-to-frame semantic relation Precedes, as implemented in FrameNet (http://framenet.icsi.berkeley.edu). Specifically, this work demonstrates the necessity and importance of the information encoded with Precedes for NLP applications, advocating the inclusion of such information in systems for security applications.
Acknowledgements:
This work was partially supported by funding provided to ICSI by the U.S. Defense Advanced Research Projects Agency (DARPA). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors or originators and do not necessarily reflect the views of DARPA or of the U.S. Government. Additional support was provided to ICSI by the Deutscher Akademischer Austausch Diesnst (DAAD) through a postdoctoral fellowship.
Bibliographic Reference:
M. R. L. Petruck and G. de Melo. Precedes: A Semantic Relation in FrameNet. Proceedings of the Workshop on Language Resources for Public Security Applications at the 8th Conference on International Language Resources and Evaluation (LREC 2012), Istanbul, Turkey, pp.45-49, May 2012