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Utilizing Temporal Information in Topic Detection and Tracking

Makkonen, Juha, Ahonen-Myka, Helena·2003·Lecture Notes in Computer Science
DOI 10.1007/978-3-540-45175-4_36
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Research works printed but not linked: 18

  1. Setzer, A.: Temporal Information in Newswire Articles: An Annotation Scheme and Corpus Study. PhD thesis, University of Sheffield, UK (2001)
  2. Allan, J. (ed.): Topic Detection and Tracking – Event-based Information Organization. Kluwer Academic Publishers, Dordrecht (2002)
  3. Allan, J., Carbonell, J., Doddington, G., Yamron, J., Yang, Y.: Topic detection and tracking pilot study: Final report. In: Proc. DARPA Broadcast News Transcription and Understanding Workshop (1998)
  4. Tapanainen, P., Järvinen, T.: A non-projective dependency parser. In: Proc. 5th Conference on Applied Natural Language Processing (1997) · DOI
  5. Goralwalla, I.A., Leontiev, Y., Özsu, M.T., Szafron, D., Combi, C.: Temporal granularity: Completing the puzzle. Journal of Intelligent Information Systems 16, 41–63 (2001) · DOI
  6. Mani, I., Wilson, G.: Robust temporal processing of news. In: Proc. Association for Computational Linguistics (ACL-2000), pp. 69–76 (2000) · DOI · Paper page
  7. Schilder, F., Habel, C.: From temporal expressions to temporal information: Semantic tagging of news messages. In: Proc. ACL-2001 Workshop on Temporal and Spatial Information Processing, pp. 65–72 (2001) · DOI
  8. Allen, J.F.: Maintaining knowledge about temporal intervals. Communications of ACM 26, 832–843 (1983) · DOI · Paper page
  9. Setzer, A., Gaizauskas, R.: Building a temporally annotated corpus for information extraction. In: Proc. 2nd Intl. Conference on Language Resources and Evaluation (LREC) workshop: Information Extraction Meets Corpus Linguistics (2000)
  10. Wiebe, J., O’Hara, T., McKeever, K., Öhrström-Sandgren, T.: An empirical approach to temporal reference resolution. Journal of Artificial Intelligence Research 9, 247–293 (1998) · DOI
  11. Smith, D.A.: Detecting events with date and place information in unstructured text. In: Proc. 2nd Joint Conference on Digital Libraries (JDCL 2002), pp. 191– 196 (2002) · DOI
  12. Koen, D.B., Bender, W.: Time frames: Temporal augmentation of the news. IBM systems journal 39, 597–616 (2000) · DOI
  13. Makkonen, J., Ahonen-Myka, H., Salmenkivi, M.: Applying semantic classes in event detection and tracking. In: Proc. International Conference on Natural Language Processing (ICON 2002), Mumbai, India (2002)
  14. Allan, J., Gupta, R., Khandelal, V.: Temporal summaries of news topics. In: Proc. ACM SIGIR, pp. 10–18 (2001) · DOI
  15. Ning, P., Wang, X.S., Jajodia, S.: An algebraic representation of calendars. Annals of Mathematics and Artificial Intelligence 36, 5–38 (2002) · DOI
  16. Galton, A.: Time and change for AI. In: Gabbay, M., Hogger, C.J., Robinson, J.A. (eds.) Handbook of Logic in Artificial Intelligence and Logic Programming. Epistemic and Temporal Reasoning, vol. 4, pp. 175–240. Oxford University Press, Oxford (1995) · DOI
  17. Krippendorff, K.: On the reliability of unitizing continuous data. In: Marsden, P.V. (ed.) Sociological Methodology, pp. 47–76. Blackwell, Malden (1995)
  18. Cieri, C., Strassel, S., Graff, D., Martey, N., Rennert, K., Liberman, M.: Corpora for topic detection and tracking. In: Allan, J. (ed.) Topic Detection and Tracking – Event-based Information Organization, pp. 33–66. Kluwer Academic Publisher, Dordrecht (2002) · DOI

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Metadata

Authors
Makkonen, J., & Ahonen-Myka, H.
Venue
Lecture Notes in Computer Science
Publisher
Springer Berlin Heidelberg
Published
2003
Pages
393-404
ISSN
  • 0302-9743
  • 1611-3349
DOI
10.1007/978-3-540-45175-4_36
Cited by
9
References
0

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