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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 Page: 1 2 Hits 21 – 31 of 31 21 Opinion and Polarity Detection within Far-East Languages in NTCIR-7 Olena Zubaryeva; Jacques Savoy In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C2/MOAT/21-NTCIR7-MOAT-ZubaryevaO.pdf BASE Show details 22 Report on CLEF-2002 experiments: Combining multiple sources of evidence Jacques Savoy In: https://doc.rero.ch/record/17185/files/Savoy_Jacques_-_Report_on_CLEF_2002_Experiments_Combining_20100210.pdf BASE Show details 23 Searching Strategies for the Bulgarian Language Jacques Savoy In: http://members.unine.ch/jacques.savoy/Papers/BUIR.pdf Abstract: This paper reports on the underlying IR problems encountered when indexing and searching with the Bulgarian language. For this language we propose a general light stemmer and demonstrate that it can be quite effective, producing significantly better MAP (around + 34%) than an approach not applying stemming. We implement the GL2 model derived from the Divergence from Randomness paradigm and find its retrieval effectiveness better than other probabilistic, vector-space and language mod-els. The resulting MAP is found to be about 50 % better than the classical tf idf ap-proach. Moreover, increasing the query size enhances the MAP by around 10% (from T to TD). In order to compare the retrieval effectiveness of our suggested stopword list and the light stemmer developed for the Bulgarian language, we con-duct a set of experiments on another stopword list and also a more complex and ag-gressive stemmer. Results tend to indicate that there is no statistically significant difference between these variants and our suggested approach. This paper evaluates other indexing strategies such as 4-gram indexing and indexing based on the auto-matic decompounding of compound words. Finally, we analyze certain queries to discover why we obtained poor results, when indexing Bulgarian documents using the suggested word-based approach. Keyword: Bulgarian IR; Cross-language information retrieval; evalua- tion; stemmer URL: http://members.unine.ch/jacques.savoy/Papers/BUIR.pdf http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.457.9104 BASE Hide details 24 Selecting Automatically the Best Query Translations Pierre-yves Berger; Jacques Savoy In: http://riao.free.fr/papers/11.pdf BASE Show details 25 Monolingual, Bilingual, and GIRT Information Retrieval at CLEF-2005 Jacques Savoy; Pierre-yves Berger In: http://members.unine.ch/jacques.savoy/Papers/CLEF2005WP.pdf BASE Show details 26 UniNE at CLEF 2012 Mitra Akasereh; Nada Naji; Jacques Savoy In: http://www.clef-initiative.eu/documents/71612/901619ab-eeeb-46ad-9188-933ed11a1641/ BASE Show details 27 Abstract Cross-Language Information Retrieval: Experiments Based on CLEF 2000 Corpora Jacques Savoy In: http://members.unine.ch/jacques.savoy/Papers/CLIRIPM.pdf BASE Show details 28 Abstract Combining Multiple Strategies for Effective Monolingual and Cross-Language Retrieval Jacques Savoy In: http://members.unine.ch/jacques.savoy/papers/clirir.pdf BASE Show details 29 Simple and efficient classification scheme based on specific vocabulary Jacques Savoy; Olena Zubaryeva BASE Show details 30 Stemming of French words based on grammatical categories Jacques Savoy BASE Show details 31 Retrieval effectiveness of machine translated queries Ljiljana Dolamic; Jacques Savoy BASE Show details Page: 1 2

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