Entity ranking in Wikipedia: utilising categories, links and topic difficulty prediction
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[1] Teruko Mitamura,et al. Knowledge-based extraction of named entities , 2002, CIKM '02.
[2] Djoerd Hiemstra,et al. Structured Document Retrieval, Multimedia Retrieval, and Entity Ranking Using PF/Tijah , 2008, INEX.
[3] Nick Craswell,et al. Overview of the TREC 2006 Enterprise Track , 2006, TREC.
[4] Jon Kleinberg,et al. Authoritative sources in a hyperlinked environment , 1999, SODA '98.
[5] James A. Thom,et al. Hybrid XML Retrieval: Combining Information Retrieval and a Native XML Database , 2005, Information Retrieval.
[6] James A. Thom,et al. Exploiting Locality of Wikipedia Links in Entity Ranking , 2008, ECIR.
[7] Josiane Mothe,et al. Linguistic features to predict query difficulty , 2005, SIGIR 2005.
[8] Gianluca Demartini,et al. Overview of the INEX 2008 Entity Ranking Track , 2009, INEX.
[9] David Yarowsky,et al. Language Independent Named Entity Recognition Combining Morphological and Contextual Evidence , 1999, EMNLP.
[10] Ellen M. Voorhees,et al. The Twelfth Text Retrieval Conference, TREC 2003 , 2004 .
[11] Jintao Li,et al. Query Performance Prediction for Information Retrieval Based on Covering Topic Score , 2008, Journal of Computer Science and Technology.
[12] Marc Ehrig,et al. Similarity for Ontologies - A Comprehensive Framework , 2005, ECIS.
[13] Jens Grivolla,et al. Automatic Classification of Queries by Expected Retrieval Performance , 2005 .
[14] Wei-Ying Ma,et al. Block-level link analysis , 2004, SIGIR '04.
[15] J. Ross Quinlan,et al. C4.5: Programs for Machine Learning , 1992 .
[16] W. Bruce Croft,et al. Predicting query performance , 2002, SIGIR '02.
[17] Stefano Mizzaro,et al. The Good, the Bad, the Difficult, and the Easy: Something Wrong with Information Retrieval Evaluation? , 2008, ECIR.
[18] Sergey Brin,et al. The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.
[19] Stephen E. Robertson,et al. Hits hits TREC: exploring IR evaluation results with network analysis , 2007, SIGIR.
[20] James A. Thom,et al. Ontology evaluation using wikipedia categories for browsing , 2007, CIKM '07.
[21] James A. Thom,et al. Entity ranking in Wikipedia , 2007, SAC '08.
[22] Ellen M. Voorhees,et al. The TREC robust retrieval track , 2005, SIGF.
[23] Mounia Lalmas,et al. Overview of the INEX 2007 Entity Ranking Track , 2008, INEX.
[24] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL.
[25] Iadh Ounis,et al. Query performance prediction , 2006, Inf. Syst..
[26] Fabian M. Suchanek,et al. ESTER: efficient search on text, entities, and relations , 2007, SIGIR.
[27] D. N. F. Awang Iskandar,et al. Social Media Retrieval Using Image Features and Structured Text , 2006, INEX.
[28] Alistair Moffat,et al. Score standardization for inter-collection comparison of retrieval systems , 2008, SIGIR '08.
[29] Craig A. Knoblock,et al. Wrapper Maintenance: A Machine Learning Approach , 2011, J. Artif. Intell. Res..
[30] Elad Yom-Tov,et al. SIGIR workshop report: predicting query difficulty - methods and applications , 2005, SIGF.
[31] Steven Bird,et al. NLTK: The Natural Language Toolkit , 2002, ACL 2006.
[32] Jianfeng Gao,et al. A Supervised Learning Approach to Entity Search , 2006, AIRS.
[33] James A. Thom,et al. Use of Wikipedia Categories in Entity Ranking , 2007, ArXiv.
[34] Matthew Denny,et al. Nodose version 2.0 , 1999, SIGMOD '99.
[35] M. de Rijke,et al. Entity Retrieval , 2007 .
[36] Ludovic Denoyer,et al. The XML Wikipedia Corpus , 2006 .
[37] Charles L. A. Clarke,et al. The TREC terabyte retrieval track , 2005, SIGF.
[38] James A. Thom,et al. Using Wikipedia Categories and Links in Entity Ranking , 2007, INEX.
[39] Elad Yom-Tov,et al. Juru at TREC 2004: Experiments with Prediction of Query Difficulty , 2004, TREC.
[40] Ian H. Witten,et al. Data mining - practical machine learning tools and techniques, Second Edition , 2005, The Morgan Kaufmann series in data management systems.
[41] Ian Witten,et al. Data Mining , 2000 .
[42] Kentaro Torisawa,et al. Exploiting Wikipedia as External Knowledge for Named Entity Recognition , 2007, EMNLP.
[43] W. Bruce Croft,et al. Query performance prediction in web search environments , 2007, SIGIR.
[44] Gabriella Kazai. Initiative for the Evaluation of XML Retrieval , 2009 .
[45] K. Kwok,et al. An Attempt to Identify Weakest and Strongest Queries , 2005 .
[46] Anne-Marie Vercoustre,et al. A Descriptive Language for Information Object Reuse through Virtual Documents , 1997, OOIS.
[47] Jovan Pehcevski,et al. Topic Difficulty Prediction in Entity Ranking , 2008, INEX.
[48] Ludovic Denoyer,et al. The Wikipedia XML Corpus , 2006, INEX.
[49] Ian H. Witten,et al. Data mining: practical machine learning tools and techniques, 3rd Edition , 1999 .
[50] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[51] Mounira Harzallah,et al. A Typology Of Ontology-Based Semantic Measures , 2005, EMOI-INTEROP.
[52] Arnaud Sahuguet,et al. Building Light-Weight Wrappers for Legacy Web Data-Sources Using W4F , 1999, VLDB.
[53] Jaap Kamps,et al. Understanding differences between search requests in XML element retrieval , 2006 .
[54] Silviu Cucerzan,et al. Large-Scale Named Entity Disambiguation Based on Wikipedia Data , 2007, EMNLP.
[55] LaforenzaDomenico,et al. SIGIR workshop report , 2005 .
[56] Ismailcem Budak Arpinar,et al. Ontology-Driven Automatic Entity Disambiguation in Unstructured Text , 2006, SEMWEB.
[57] Jaap Kamps,et al. Finding Entities or Information Using Annotations , 2009 .
[58] Brian D. Davison,et al. Topical link analysis for web search , 2006, SIGIR.
[59] Nicholas Kushmerick,et al. Wrapper induction: Efficiency and expressiveness , 2000, Artif. Intell..