نتایج جستجو برای: okapi

تعداد نتایج: 548  

2007
Thomas R. Lynam Gordon V. Cormack

Our TREC 2008 e ort used fusion IR methods identical to those used for our TREC 2007 e ort; in addition we used logistic regression to attempt to learn the optimal K value for the primary F1@K measure introduced at TREC 2008. We used the Wumpus search engine combining several methods that have proven successful, including cover density ranking and Okapi BM25 ranking, and combination methods. St...

2016
Cagdas Usfekes Kursat Ince

Enterprise search infrastructure supports searching in structural data and non-structural data with high efficiency. A well designed enterprise search infrastructure increases productivity and contributes user experience. In this work, we describe querying work items with advanced search and effect to user experience with application lifecycle management system which is located in HAVELSAN. SQL...

Journal: :Proceedings of the Zoological Society of London 2009

2005
Adenike M. Lam-Adesina Gareth J. F. Jones

The Dublin City University participation in the CLEF CL-SR 2005 task concentrated on exploring the application of our existing information retrieval methods based on the Okapi model to the conversational speech data set. This required an approach to determining approximate sentence boundaries within the free-flowing automatic transcription provided. We also performed exploratory experiments on ...

2008
Claire Fautsch Ljiljana Dolamic Jacques Savoy

Our first objective in participating in this domain-specific evaluation campaign is to propose and evaluate various indexing and search strategies for the German, English and Russian languages, in an effort to obtain better retrieval effectiveness than that of the language-independent approach (n-gram). To do so we evaluate the GIRT-4 test-collection using the Okapi, various IR models derived f...

2005
Wei Zhou Clement T. Yu

This report describes the experiments we have conducted on the ad hoc retrieval task of Genomics track at TREC 2005. In the experiment, a number of different techniques were employed, including Porter stemming, MeSH term and gene name identification, Okapi, weighting schemes, query expansion, and concept-based ranking strategy. The results on sample topics are reported. Future improvements, suc...

Journal: :Conservation biology : the journal of the Society for Conservation Biology 2007
Armando Jaramillo-Legorreta Lorenzo Rojas-Bracho Robert L Brownell Andrew J Read Randall R Reeves Katherine Ralls Barbara L Taylor

*Instituto Nacional de Ecolog ́ıa (INE), c/o CICESE, Km. 107 Carretera Ensenada-Tijuana, Ensenada, BC 22860, Mexico †Southwest Fisheries Science Center, 8604 La Jolla Shores Drive, La Jolla, CA 92038, U.S.A. ‡Duke University Marine Laboratory, Nicholas School of the Environment, 135 Duke Marine Laboratory Road, Beaufort, NC 28516-9721, U.S.A. §Okapi Wildlife Associates, 27 Chandler Lane, Hudson,...

2012
Wei Gao Zhongyu Wei Kam-Fai Wong

Microblogs such as Twitter are considered faster first-hand sources of information with many real-time fashions. We report our work in the real-time adhoc search and filtering tasks of TREC 2012 microblog track. Our system is built based on the traditional BM25 relevance model, in which specific techniques are tried out to respond to the need of finding relevant tweets. In the real-time adhoc t...

2004
David J Harper Gheorghe Muresan Bicheng Liu Ivan Koychev Dietrich Wettschereck Nirmalie Wiratunga

This was the first time that RGU had participated in the HARD track, and indeed in TREC. We were interested in investigating the effect of exploiting the topic metadata to re-rank our initial baseline run, in a similar fashion to that of Rutgers in TREC 2003 [Belkin et al, 2003]. We used the Lemur toolkit (LTK) to obtain a baseline ranking, using title and description for each topic, and using ...

2007
Delphine Bernhard

This paper describes a system for unsupervised morpheme analysis and the results it obtained at Morpho Challenge 2007. The system takes a plain list of words as input and returns a list of labelled morphemic segments for each word. Morphemic segments are obtained by an unsupervised learning process which can directly be applied to different natural languages. Results obtained at competition 1 (...

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