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.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
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)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
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
Download citation
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
eBook Packages: Computer ScienceComputer Science (R0)