By Gary Marchionini (auth.), Sharon McDonald, John Tait (eds.)
Theseproceedingscontaintherefereedfulltechnicalpaperspresentedatthe26th Annual ecu convention on details Retrieval (ECIR 2004). ECIR is theannualconferenceoftheBritishComputerSociety’sspecialistgroupinInf- mation Retrieval. This 12 months the convention was once held on the university of Computing and expertise on the college of Sunderland. ECIR begun existence because the - nual Colloquium on details Retrieval learn. The colloquium was once held within the united kingdom every year till 1998 whilst the development was once held in Grenoble, France. in view that then the convention venue has alternated among the uk and Continental Europe, and the development used to be renamed the eu convention on info Retrieval. in recent times, ECIR has endured to develop and has develop into the main eu discussion board for the dialogue of study within the ?eld of data Retrieval. To mark this metamorphosis from a small casual c- loquium to an incredible occasion within the IR learn calendar, the BCS-IRSG made up our minds to rename the development to the ecu convention on details Retrieval. ECIR2004received88fullpapersubmissions,fromacrossEuropeandfurther a?eldincludingNorthAmerica,ChinaandAustralia,atestamenttothegrowing reputation and popularity of the convention. Out of the 88 submitted papers, 28 have been authorised for presentation. All papers have been reviewed by means of a minimum of 3 reviewers. one of the authorised papers eleven have a scholar because the fundamental writer, illustrating that the conventional pupil concentration of the unique colloquium is alive today.
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Additional resources for Advances in Information Retrieval: 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004. Proceedings
S. McDonald and J. ): ECIR 2004, LNCS 2997, pp. 27–41, 2004. © Springer-Verlag Berlin Heidelberg 2004 28 D. Kelly et al. The purpose of this paper is to explore a novel method of evaluating the accuracy of topic models which have been created using traditional language modeling and clustering approaches, and behavioral evidence, such as display time and retention. This method consists of comparing topic models created using these approaches with those created by users during a naturalistic study using self-identified topics.
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Learning Theory,Pages 3–11. ACM Press, New York, NY. , and Srinivasan A. 1997. Using inductive logic programming for natural language processing. In Proceedings of in ECML, pages 25–34, Prague. Springer-Verlag. Workshop Notes on Empirical Learning of Natural Language Tasks. Pearl, J. 1985. Bayesian Networks: A Model of Self-Activated Memory for Evidential Reasoning, In Proceedings of the Cognitive Science Society (CSS-7). , and Graziadio, B. 1997. Extracting Information for Business Needs. Unicom Seminar on Information Extraction, London, March.
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.)