Abstract
The harnessing of time-related information from text for the use of information retrieval requires a leap from the surface forms of the expressions to a formalized time-axis. Often the expressions are used to form chronological sequences of events. However, we want to be able to determine the temporal similarity, i.e., the overlap of temporal references of two documents and use this similarity in Topic Detection and Tracking, for example. We present a methodology for extraction of temporal expressions and a scheme of comparing the temporal evidence of the news documents. We also examine the behavior of the temporal expressions and run experiments on English News corpus.
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References
Setzer, A.: Temporal Information in Newswire Articles: An Annotation Scheme and Corpus Study. PhD thesis, University of Sheffield, UK (2001)
Allan, J. (ed.): Topic Detection and Tracking – Event-based Information Organization. Kluwer Academic Publishers, Dordrecht (2002)
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)
Tapanainen, P., Järvinen, T.: A non-projective dependency parser. In: Proc. 5th Conference on Applied Natural Language Processing (1997)
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)
Mani, I., Wilson, G.: Robust temporal processing of news. In: Proc. Association for Computational Linguistics (ACL-2000), pp. 69–76 (2000)
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)
Allen, J.F.: Maintaining knowledge about temporal intervals. Communications of ACM 26, 832–843 (1983)
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)
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)
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)
Koen, D.B., Bender, W.: Time frames: Temporal augmentation of the news. IBM systems journal 39, 597–616 (2000)
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)
Allan, J., Gupta, R., Khandelal, V.: Temporal summaries of news topics. In: Proc. ACM SIGIR, pp. 10–18 (2001)
Ning, P., Wang, X.S., Jajodia, S.: An algebraic representation of calendars. Annals of Mathematics and Artificial Intelligence 36, 5–38 (2002)
Allen, J.: Natural Language Understanding, 2nd edn. The Benjamin/Cummings Publishing Company (1995)
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)
Krippendorff, K.: On the reliability of unitizing continuous data. In: Marsden, P.V. (ed.) Sociological Methodology, pp. 47–76. Blackwell, Malden (1995)
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)
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Makkonen, J., Ahonen-Myka, H. (2003). Utilizing Temporal Information in Topic Detection and Tracking. In: Koch, T., Sølvberg, I.T. (eds) Research and Advanced Technology for Digital Libraries. ECDL 2003. Lecture Notes in Computer Science, vol 2769. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45175-4_36
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DOI: https://doi.org/10.1007/978-3-540-45175-4_36
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