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    • The Pennsylvania State University CiteSeerX Archives (9)
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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 9 of 9 1 NTCIR-2 Chinese, cross language retrieval experiments using PIRCS K. L. Kwok In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings2/kwok.pdf (2001) BASE Show details 2 Research and Development Sven Reichel; Daimler Ag; Michael Weber In: http://www.uni-ulm.de/fileadmin/website_uni_ulm/iui.inst.100/institut/Papers/Prof_Weber/autoUI_reichel2012.pdf BASE Show details 3 XRCE’s Participation to CLEF 2008 Ad-Hoc Track Stephane Clinchant; Jean-michel Renders In: http://clef.isti.cnr.it/2008/working_notes/clinchant-paperCLEF2008.pdf BASE Show details 4 REINA at CLEF 2006 Robust Task: Local Query Expansion Using Term Windows for Robust Retrieval Angel Zazo; Carlos G. Figuerola; José Luis; A. Berrocal In: http://reina.usal.es/pub/zazo2006reina.pdf Abstract: This paper describes our work at CLEF 2006 Robust task. This task is an ad-hoc task that explores methods for stable retrieval by focusing on poorly performing topics. We have realized experiments for all subtask: monolingual (EN, ES, FR and IT), bilingual (IT→ES) and multilingual (ES→[EN ES FR IT]) retrieval. For monolingual retrieval we have focused our work on local query expansion, i.e. using only the information from retrieved documents. External corpora, such as the Web, were not used. Our document retrieval system is simple; it is based on vector space model. Some local expansion techniques were applied for training topics. The best improvement was achieved using association thesauri, which were constructed employing co-occurrence relations in term windows, not in complete document. This technique is effective and can be easily implemented without tuning some parameters. Our mandatory runs (title+description topic fields) have obtained good positions in all monolingual subtasks we participate. For bilingual retrieval two machine translation programs were used to translate the Keyword: Association Thesauri; Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing; CLIR; Experimentation Keywords Robust Retrieval; H.3.3 [Information Search and Retrieval; H.3.4 [Systems and Software; I.2.7 [Natural Language Processing; Indexing methods; Machine Translation; Machine Translation General Terms Measurement; Performance; Performance evaluation; Query Expansion; Query formulation; Relevance feedback; Term Windows; Thesauruses URL: http://reina.usal.es/pub/zazo2006reina.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.117.3128 BASE Hide details 5 1A Structure-Based Model for Chinese Organization Name Translation Yufeng Chen; Chengqing Zong In: http://www.nlpr.ia.ac.cn/cip/ZongPublications/2008 ACM TALIP-ChenYF, Vol.7, No.1, pp1-30.pdf BASE Show details 6 R.: REINA at CLEF 2009 Robust-WSD Task: Partial Use of WSD Information for Retrieval Angel Zazo; Carlos G. Figuerola; Jose ́ L. Alonso Berrocal In: http://ceur-ws.org/Vol-1175/CLEF2009wn-adhoc-ZazoEt2009.pdf BASE Show details 7 Licensed Under Creative Commons Attribution CC BY A Linguistics Study of New Trends in Translation as a Speech to Act Riyad Sarhan Jabbar In: http://www.ijsr.net/archive/v4i2/SUB151039.pdf BASE Show details 8 REINA at CLEF 2007 Robust Task Angel F. Zazo; Carlos G. Figuerola; José L. Alonso Berrocal In: http://www.clef-campaign.org/2007/working_notes/zazoCLEF2007.pdf BASE Show details 9 ABSTRACT ASTEC: A New Approach to Refactoring C Bill Mccloskey; Eric Brewer In: http://www.cs.berkeley.edu/~billm/astec-fse.pdf BASE Show details

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