CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

An Overview on Event Evolution Technique

by Rutuja Ahirrao, Sachin Patel
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 77 - Number 10
Year of Publication: 2013
Authors: Rutuja Ahirrao, Sachin Patel
10.5120/13428-1124

Rutuja Ahirrao, Sachin Patel . An Overview on Event Evolution Technique. International Journal of Computer Applications. 77, 10 ( September 2013), 7-11. DOI=10.5120/13428-1124

@article{ 10.5120/13428-1124,
author = { Rutuja Ahirrao, Sachin Patel },
title = { An Overview on Event Evolution Technique },
journal = { International Journal of Computer Applications },
issue_date = { September 2013 },
volume = { 77 },
number = { 10 },
month = { September },
year = { 2013 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume77/number10/13428-1124/ },
doi = { 10.5120/13428-1124 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:49:53.227380+05:30
%A Rutuja Ahirrao
%A Sachin Patel
%T An Overview on Event Evolution Technique
%J International Journal of Computer Applications
%@ 0975-8887
%V 77
%N 10
%P 7-11
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Event evolution is the most challenging task now days. There are series of events which are incident in a sequence and event evolution is used to arrange and show these events in the exact way as they occur. Lack of appropriate integration between events information causes severe problem as they misguide users. For example due to some reason if any flight is delayed and after a span of time it is rescheduled and not updated by various resources, and now if user searches the information of that flight via internet he will not able to find the correct status. So, the major concepts based on event evolution are: Collection of events, Validation of events instantly and Publishing of events. If events collected from various sources are not validated properly the incorrect information will be reached to the user and the verified events must be published instantly so that user can access most recent document. This paper proposes a model for event evolution and generates a graph for events as they occur.

References
  1. J. Allan, R. Papka, and V. Lavrenko, "On-line new event detection and tracking," in Proc. 21st Annu. Int. ACM SIGIR Conf. Res. Development Inf. Retrieval, Melbourne, Australia, 1998, pp. 37–45.
  2. Y. Yang, T. Pierce, and J. Carbonell, "A study on retrospective and online event detection," in Proc. 21st Annu. Int. ACM SIGIR Conf. Res. Development Inf. Retrieval, Melbourne, Australia, 1998, pp. 28–36.
  3. J. Carthy, "Lexical chains for topic detection," Dept. Comput. Sci. , Univ. College Dublin—National Univ. Ireland, Dublin, Ireland, 2002. Tech. Rep.
  4. J. Makkonen, "Investigations on event evolution in TDT," in Proc. Conf. North Amer. Chapter Assoc. Linguistics Human Language Technol. , HLT-NAACL Student Research Workshop, Edmonton, AB, Canada, 2003, pp. 43–48.
  5. R. Nallapati, A. Feng, F. Peng, and J. Allan, "Event threading within news topics," in Proc. 13th ACM Int. Conf. Inf. Knowl. Management, Washington, DC, 2004, pp. 446–453.
  6. Wei and Y. Chang, "Discovering event evolution Graph from corpora," IEEE Trans. Syst. , Man, Cybern. A, Syst. , Humans, vol. 39, no. 4, July. 2009.
  7. Wei and Y. Chang, "Discovering event evolution patterns from document sequences," IEEE Trans. Syst. , Man, Cybern. A, Syst. , Humans, vol. 37, no. 2, pp. 273–283, Mar. 2007.
  8. R. Barzilay and L. Lee, "Catching the drift: Probabilistic content models, with applications to generation and summarization", in Proceedings of HLT-NAACL, 2004, vol. 2004.
  9. C. C. Yang, X. Shi, and C. P. Wei, "Discovering event evolution graphs from news corpora", Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, vol. 39, no. 4, pp. 850-863, 2009
  10. Q. Mei and C. X. Zhai, "Discovering evolutionary theme patterns from text: an exploration of temporal text mining", in Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, 2005, pp. 198-207.
  11. K. F. McCoy and M. Strube, "Taking time to structure discourse: Pronoun generation beyond accessibility", in Proc. of the 21th Annual Conference of the Cognitive Science Society, 1999, pp. 19-21.
  12. E. Marsh and D. Perzanowski, "MUC-7 evaluation of IE technology: Overview of results", in Proceedings of MUC, 1998, vol. 7.
  13. D. Ahn, "The stages of event extraction", in Proc. COLING/ACL 2006 Workshop on Annotating and Reasoning about Time and Events, 2006, pp. 1-8.
  14. E. Filatova and V. Hatzivassiloglou, "Domain independent detection, extraction, and labeling of atomic events", in Proceedings of RANLP, 2003, pp. 145-152. [15 ]M. Wu, W. Li, Q. Lu, and B. Li, "CTEMP: A Chinese temporal parser for extracting and normalizing temporal information", in Proceedings of International Joint Conference on Natural Language Processing, 2005, pp. 694-706.
  15. Z. Chen and H. Ji, "Graph-based event co reference resolution", in Proceedings of the 2009 Workshop on Graph-based Methods for Natural Language Processing, 2009, pp. 54-57.
  16. H. Ji and R. Grishman, "Refining Event Extraction Through Cross-document Inference", Proc. ACL 2008, 2008.
  17. Shi and J. Malik, "Normalized cuts and image segmentation", Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 22, no. 8, pp. 888-905, 2000.
  18. "TDT 2004: Annotation Manual". http://www. ldc. upenn. edu/Projects/TDT5/Annotation/ TDT2004V1. 2. pdf
Index Terms

Computer Science
Information Sciences

Keywords

TDT Event Evolution Graph Event Tracking.

Powered by PhDFocusTM