Read e-book online Advances in Information Retrieval: 26th European Conference PDF

By Gary Marchionini (auth.), Sharon McDonald, John Tait (eds.)

ISBN-10: 3540213821

ISBN-13: 9783540213826

ISBN-10: 3540247521

ISBN-13: 9783540247524

Theseproceedingscontaintherefereedfulltechnicalpaperspresentedatthe26th Annual eu convention on info Retrieval (ECIR 2004). ECIR is theannualconferenceoftheBritishComputerSociety’sspecialistgroupinInf- mation Retrieval. This yr the convention was once held on the university of Computing and know-how on the college of Sunderland. ECIR begun existence because the - nual Colloquium on details Retrieval examine. The colloquium was once held within the united kingdom every year until eventually 1998 while the development used to be held in Grenoble, France. on account that then the convention venue has alternated among the uk and Continental Europe, and the development was once renamed the ecu convention on info Retrieval. lately, ECIR has endured to develop and has develop into the foremost ecu discussion board for the dialogue of analysis within the ?eld of knowledge Retrieval. To mark this metamorphosis from a small casual c- loquium to an incredible occasion within the IR study calendar, the BCS-IRSG made up our minds to rename the development to the eu convention on info Retrieval. ECIR2004received88fullpapersubmissions,fromacrossEuropeandfurther a?eldincludingNorthAmerica,ChinaandAustralia,atestamenttothegrowing recognition and acceptance of the convention. Out of the 88 submitted papers, 28 have been accredited for presentation. All papers have been reviewed through at the very least 3 reviewers. one of the authorised papers eleven have a scholar because the fundamental writer, illustrating that the normal scholar concentration of the unique colloquium is alive today.

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Read or Download Advances in Information Retrieval: 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004. Proceedings PDF

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Additional info for Advances in Information Retrieval: 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004. Proceedings

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The accepted wisdom of the machine learning community is that it is very hard to predict which learning algorithm will produce optimal performance, so it is advisable to experiment with a range of algorithms running on real data. g. example-based systems such as TiMBL [15] and ILP [36]. 2 Unsupervised Template Learning We should remember the possibility of unsupervised notion of template learning: in a Sheffield PhD thesis Collier [12] developed such a notion, one that can be thought of IR and AI: Traditions of Representation and Anti-representation 17 as yet another application of the old technique of Luhn [32] to locate statistically significant words in a corpus and use those to locate the sentences in which they occur as key sentences.

Understanding Natural language. Winograd, T. and Flores, A. 1986. Understanding Computers and Cognition: A New Foundation for Design, Ablex: Norwood, NJ. Yarowsky, D. 1992. Word-sense disambiguation using statistical models of Roget’s categories trained on large corpora. In Proc. COLING92, Nantes, France. Yarowsky, D. 1995. Unsupervised word-sense disambiguation rivalling supervised methods, Proc. ACL-95. A User-Centered Approach to Evaluating Topic Models Diane Kelly1, Fernando Diaz2, Nicholas J.

A statistical approach to mechanized encoding and searching of literary information. IBM Journal of Research and Development, 1:309–317. Mauldin, M. 1991. Retrieval performance in FERRET: a conceptual information retrieval system. SIGIR91 Miller, G. A. WordNet: An on-line Lexical Database, In International Journal of Lexicography, 3(4). , and Cooper C. 1995. Description of the LOLITA System as used for MUC6. In Proceedings of the Sixth Message Understanding Conference (MUC-6), pages 71–86, San Francisco, Morgan Kaufmann.

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Advances in Information Retrieval: 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004. Proceedings by Gary Marchionini (auth.), Sharon McDonald, John Tait (eds.)

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