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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 3 4 5...9 Hits 1 – 20 of 171 1 Unsupervised sentiment analysis with emotional signals Xia Hu; Jiliang Tang; Huiji Gao... In: http://www.public.asu.edu/~xiahu/papers/www13.pdf (2013) BASE Show details 2 Automatic refinement of patent queries using concept importance predictors Parvaz Mahdabi; Linda Andersson; Mostafa Keikha; Fabio Crestani In: http://www.inf.usi.ch/phd/keikha/papers/fp099-mahdabi.pdf (2012) Abstract: Patent prior art queries are full patent applications which are much longer than standard web search topics. Such queries are composed of hundreds of terms and do not rep-resent a focused information need. One way to make the queries more focused is to select a group of key terms as representatives. Existing works show that such a selection to reduce patent queries is a challenging task mainly because of the presence of ambiguous terms. Given this setup, we present a query modeling approach where we utilize patent-specific characteristics to generate more precise queries. We propose to automatically disambiguate query terms by em-ploying noun phrases that are extracted using the global analysis of the patent collection. We further introduce a method for predicting whether expansion using noun phrases would improve the retrieval effectiveness. Our experiments show that we can obtain almost 20% improvement by performing query expansion using the true importance of the noun phrase queries. Based on this ob-servation, we introduce various features that can be used to estimate the importance of the noun phrase query. We evaluated the effectiveness of the proposed method on the patent prior art search collection CLEF-IP 2010. Our ex-perimental results indicate that the proposed features make good predictors of the noun phrase importance, and selec-tive application of noun phrase queries using the importance predictors outperforms existing query generation methods. Keyword: Categories and Subject Descriptors H.3.3 [Information Storage and Retrieval; Measurement Keywords Patent Search; Performance; Query for- mulation; Query Generation; Relevance Feedback General Terms Experimentation; Relevance Model URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.653.1525 http://www.inf.usi.ch/phd/keikha/papers/fp099-mahdabi.pdf BASE Hide details 3 Identifying task-based sessions in search engine query logs Claudio Lucchese; Salvatore Orl In: http://pomino.isti.cnr.it/%7Esilvestr/wp-content/uploads/2011/02/wsdm2011.pdf (2011) BASE Show details 4 Identifying task-based sessions in search engine query logs Claudio Lucchese; Salvatore Orl In: http://www.dsi.unive.it/~orlando/PUB/wsdm2011.pdf (2011) BASE Show details 5 Integrating document clustering and . . . SHENGHUO ZHU, ,et al. In: http://users.cis.fiu.edu/~taoli/pub/a14-wang.pdf (2011) BASE Show details 6 The Effect of Different Context Representations on Word Sense Discrimination in Biomedical Texts Ted Pedersen In: http://www.d.umn.edu/~tpederse/Pubs/acm-ihi-2010-pedersen.pdf (2010) BASE Show details 7 Transliteration for resource-scarce languages Manoj K. Chinnakotla; Om P. Damani; Avijit Satoskar In: http://www.cse.iitb.ac.in/~damani/papers/TALIP10/transliterationTALIP10.pdf (2010) BASE Show details 8 Hiroshima city university at evaluation subtask in the NTCIR-8 patent translation task Hidetsugu Nanba; Kazuho Hirahara; Toshiyuki Takezawa In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings8/NTCIR/09-NTCIR8-PATMT-NanbaH.pdf (2010) BASE Show details 9 Clickthrough-based translation models for web search: from word models to phrase models Jianfeng Gao; Xiaodong He; Jian-yun Nie In: http://www.iro.umontreal.ca/~nie/Publication/gao-cikm10.pdf (2010) BASE Show details 10 M.: Application of Axiomatic Approaches to Crosslanguage Retrieval Roman Kern; Andreas Juffinger; Michael Granitzer In: http://clef.isti.cnr.it/2009/working_notes/rkern-paperCLEF2009.pdf (2010) BASE Show details 11 Cross-language retrieval using link-based language models Benjamin Roth; Dietrich Klakow In: http://www.lsv.uni-saarland.de/sigir2010-link-lm-clir.pdf (2010) BASE Show details 12 Lexical Ambiguity in Cross-Language Image Retrieval: a Preliminary Analysis. CLEF 2009 worskhop notes Borja Navarro-colorado; Marcel Puchol-blasco; Rafael M. Terol... In: http://clef.isti.cnr.it/2009/working_notes/bnavarro-paperCLEF09.pdf (2009) BASE Show details 13 Using semantic relatedness and word sense disambiguation for (cl)ir Eneko Agirre; Arantxa Otegi; Hugo Zaragoza In: http://clef.isti.cnr.it/2009/working_notes/agirre-robust-paperCLEF2009.pdf (2009) BASE Show details 14 Learning to rank for quantity consensus queries Somnath Banerjee; Soumen Chakrabarti; Ganesh Ramakrishnan In: http://www.cc.gatech.edu/~zha/CSE8801/learning-to-rank/p243-banerjee.pdf (2009) BASE Show details 15 Overview of VideoCLEF 2009: New perspectives on speech-based multimedia content enrichment Martha Larson; Eamonn Newman; Gareth J. F. Jones In: http://clef.isti.cnr.it/2009/working_notes/larsonVideoCLEF2009_overview.pdf (2009) BASE Show details 16 Multiple retrieval models and regression models for prior art search Patrice Lopez; Laurent Romary In: http://clef.isti.cnr.it/2009/working_notes/lopez-paperCLEF2009.pdf (2009) BASE Show details 17 Overview of iCLEF 2009: Exploring Search Behaviour in a Multilingual Folksonomy environment Julio Gonzalo; Paul Clough; Jussi Karlgren In: http://clef.isti.cnr.it/2009/working_notes/iclef_overview_2009.pdf (2009) BASE Show details 18 Multiple retrieval models and regression models for prior art search Patrice Lopez; Laurent Romary In: http://hal.archives-ouvertes.fr/docs/00/41/18/35/PDF/technote.pdf (2009) BASE Show details 19 German, French, English and Persian Retrieval Experiments at CLEF 2009 Stephen Tomlinson In: http://clef.isti.cnr.it/2009/working_notes/tomlinson-paperCLEF2009.pdf (2009) BASE Show details 20 Word Topic Models for Spoken Document Retrieval and Transcription Berlin Chen In: http://berlin.csie.ntnu.edu.tw/Berlin_Research/Manuscripts/2009/2009-ACM-TALIP-Word Topic Models for Spoken Document Retrieval and Transcription.pdf (2009) BASE Show details Page: 1 2 3 4 5...9

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