Abstract
This paper investigates the detection of named entity (NE) patterns by comparing the results of NE patterns resulting from a user analysis and a system analysis. Findings revealed that there are difference in NE patterns detected by system and user, something that may affect the performance of a TDT system based on NE detection.
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References
Kumaran, G., Allan, J.: Text Classification and Named Entities for New Event Detection. In: Proceedings of the 27PthP Annual International ACM SIGIR Conference, pp. 297–304. ACM Press, New York (2004)
Cunningham, H., Maynard, D., Bontcheva, K., Tablan, V.: GATE: A Framework and Graphical Development Environment for Robust NLP Tools and Applications. In: Proceedings of the 40th Anniversary Meeting of the Association for Computational Linguistics (ACL 2002), Philadelphia (2002)
Juha, M., Helena, A.M., Marko, S.: Simple Semantics in Topic Detection and Tracking. Information Retrieval 7(3–4), 347–368 (2004)
Mohd, M.: Named Entity Patterns across News Domains. In: BCS IRSG Symposium: Future Directions in Information Access 2007, pp. 30–36 (2007)
Yang, Y., Carbonell, J., Brown, R., Pierce, T., Archibald, B.T., Liu, X.: Learning approaches for detecting and tracking news events. IEEE Intelligent Systems, Special Issue on Applications of Intelligent Information Retrieval 14(4), 32–43 (1999)
Kuo, Z., Zi, L.J., Gang, W.: New Event Detection Based on Indexing-tree and Named Entity. In: Proceedings of SIGIR 2007, pp. 215–222. ACM Press, Amsterdam, The Netherlands (2007)
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© 2008 Springer-Verlag Berlin Heidelberg
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Mohd, M., Crestani, F., Ruthven, I. (2008). A Comparison of Named Entity Patterns from a User Analysis and a System Analysis. In: Macdonald, C., Ounis, I., Plachouras, V., Ruthven, I., White, R.W. (eds) Advances in Information Retrieval. ECIR 2008. Lecture Notes in Computer Science, vol 4956. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78646-7_78
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DOI: https://doi.org/10.1007/978-3-540-78646-7_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-78645-0
Online ISBN: 978-3-540-78646-7
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