Precedes: A Semantic Relation in FrameNet
| Title | Precedes: A Semantic Relation in FrameNet |
| Publication Type | Conference Paper |
| Year of Publication | 2012 |
| Authors | Petruck, M. R. L., & de Melo G. |
| Page(s) | 45-49 |
| Other Numbers | 3282 |
| Abstract | 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. Appropriateresponse to a crisis is as important for public security as are efforts to prevent any such natural or man made disaster. Recentresearch (Mehrota et al. 2008) has recognized the need for accurate and actionable situation awareness during emergencies, wheretimely status updates are critical for effective crisis management. The present paper constitutes a contribution to situation awarenessfor Natural Language Processing (NLP) applications to improve communication among first responders, and features theframe-to-frame semantic relation Precedes, as implemented in FrameNet (http://framenet.icsi.berkeley.edu). Specifically, this workdemonstrates the necessity and importance of the information encoded with Precedes for NLP applications, advocating the inclusionof such information in systems for security applications. |
| Acknowledgment | 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. |
| URL | http://www.icsi.berkeley.edu/pubs/ai/precedessemantic12.pdf |
| Bibliographic Notes | 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 |
| Abbreviated Authors | M. R. L. Petruck and G. de Melo |
| ICSI Research Group | AI |
| ICSI Publication Type | Article in conference proceedings |