Abstract
We propose TSRM, an alternative document retrieval model relying on multi-word, rather than mere single key-word domain terms, typically applied in traditional IR.
This work was supported by project TOWL (FP6-Strep, No. 26896) of the EU.
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Frantzi, K., Ananiadou, S., Mima, H.: Automatic recognition of multi-word terms: The C-Value/NC-value Method. Intl. J. of Digital Libraries 3(2), 117–132 (2000)
Jacquemin, C., Klavans, J., Tzoukermann, E.: Expansion of multi-word terms for indexing and retrieval using morphology and syntax. In: 35th Annual Meeting of the Assoc. for Comp. Linguistics, Spain, pp. 24–31 (1997)
Nenadic, G., Spasic, I., Ananiadou, S.: Automatic Discovery of Term Similarities Using Pattern Mining. Intl. J. of Terminology 10(1), 55–80 (2004)
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Drymonas, E., Zervanou, K., Petrakis, E.G.M. (2008). The TSRM Approach in the Document Retrieval Application. In: Kapetanios, E., Sugumaran, V., Spiliopoulou, M. (eds) Natural Language and Information Systems. NLDB 2008. Lecture Notes in Computer Science, vol 5039. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69858-6_35
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DOI: https://doi.org/10.1007/978-3-540-69858-6_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69857-9
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