By Gary Marchionini (auth.), Sharon McDonald, John Tait (eds.)
Theseproceedingscontaintherefereedfulltechnicalpaperspresentedatthe26th Annual eu convention on info Retrieval (ECIR 2004). ECIR is theannualconferenceoftheBritishComputerSociety’sspecialistgroupinInf- mation Retrieval. This 12 months the convention was once held on the tuition of Computing and expertise on the collage of Sunderland. ECIR begun existence because the - nual Colloquium on info 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. due to the fact then the convention venue has alternated among the uk and Continental Europe, and the development used to be renamed the ecu convention on info Retrieval. lately, ECIR has persisted to develop and has develop into the most important ecu discussion board for the dialogue of study within the ?eld of data Retrieval. To mark this metamorphosis from a small casual c- loquium to a massive occasion within the IR study calendar, the BCS-IRSG made up our minds to rename the development to the eu convention on details Retrieval. ECIR2004received88fullpapersubmissions,fromacrossEuropeandfurther a?eldincludingNorthAmerica,ChinaandAustralia,atestamenttothegrowing attractiveness and popularity of the convention. Out of the 88 submitted papers, 28 have been permitted for presentation. All papers have been reviewed through at the very least 3 reviewers. one of the approved 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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Additional info for Advances in Information Retrieval: 26th European Conference on IR Research, ECIR 2004, Sunderland, UK, April 5-7, 2004. Proceedings
But I suggest, for anyone interested in the issue, this TREC track is the one to watch. There is an interesting parallel, by the way, for this byte-approach to QA: in 1996 CMU IR and AI: Traditions of Representation and Anti-representation 23 entered into the Loebner Turing competition, a computer discussant that answered questions, and produced all responses, by a closest match word-window algorithm into a large newspaper corpus. It didn’t do very well, but not nearly as disastrously as those in the LMI school would have predicted and wanted!
As always, things are not as radical as they seem: the genesis of the Berger and Lafferty work, under the broad heading of “language models in IR”, was the IBM statistical translation work at IBM under Jelinek referred to earlier, and the word “translation” in the Berger/Lafferty title refers in a sense to any technique which considers two strings in relationship to each other as, indifferently, translations of each other or retrievals of each other. This is undoubtedly a touch of sleight of hand here, since translation is normally considered a symmetrical relationship, but retrieval IR and AI: Traditions of Representation and Anti-representation 21 is not, since documents are not normally considered as retrieving queries.
Acknowledgements. The paper has benefited from discussions with Mark Sanderson, Rob Gaizauskas, Ted Dunning and others, but the errors are all mine of course. 24 Y. , Borthwick A. and Sterling J. 1998. Description of the named entity system as used in MUC-7. In Proceedings of the MUC-7 Conference, NYU. Azzam, S. Humphreys, K. and Gaizauskas, R. 1999. using coreference chains for text summarization. Proc. ACL Workshop on Coreference and its Applications, Maryland. Bely, N. Borillo, A, Virbel, J and Siot-Decauville, N.