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    TREC
    2003
    131views Information Technology» more  TREC 2003»
    Experiments in TREC 2003 Genomics Track at NTT
    13 years 5 months ago
    Experiments in TREC 2003 Genomics Track at NTT
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    500,000 PubMed abstracts. However, less than 50 documents are relevant for most queries. Applying scoring to all 500,000 abstracts would create a lot of noise. In the first step, ...
    Hirotoshi Taira, Tomonori Izumitani, Tsutomu Hirao...
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    TREC
    2003
    131views Information Technology» more  TREC 2003»
    TREC12 HARD Track at ISCAS
    13 years 5 months ago
    TREC12 HARD Track at ISCAS
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    Statistical model in retrieval has been shown to perform well empirically. Extended Boolean model has been widely used in business system for its easiness to be complemented and n...
    Zeng Wu, Lin Du, Le Sun, Shiwei Ye
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    TREC
    2003
    82views Information Technology» more  TREC 2003»
    Overview of the TREC 2003 Robust Retrieval Track
    13 years 5 months ago
    Overview of the TREC 2003 Robust Retrieval Track
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    The robust retrieval track is a new track in TREC 2003. The goal of the track is to improve the consistency of retrieval technology by focusing on poorly performing topics. In add...
    Ellen M. Voorhees
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    TREC
    2003
    135views Information Technology» more  TREC 2003»
    Towards a Sense Based Document Representation for Internet Information Retrieval
    13 years 5 months ago
    Towards a Sense Based Document Representation for Internet Information Retrieval
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    We describe an attempt to use word sense as an alternate text representation within an information retrieval system in order to enhance retrieval effectiveness. A performance comp...
    Christopher Stokoe, John Tait
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    TREC
    2003
    125views Information Technology» more  TREC 2003»
    UB at TREC 12: HARD and Genomics Tracks
    13 years 5 months ago
    UB at TREC 12: HARD and Genomics Tracks
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    Munirathnam Srikanth, Miguel E. Ruiz, Rohini K. Sr...
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    TREC
    2003
    177views Information Technology» more  TREC 2003»
    Overview of the TREC 2003 Question Answering Track
    13 years 5 months ago
    Overview of the TREC 2003 Question Answering Track
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    The TREC 2003 question answering track contained two tasks, the passages task and the main task. In the passages task, systems returned a single text snippet in response to factoi...
    Ellen M. Voorhees
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    TREC
    2003
    81views Information Technology» more  TREC 2003»
    Ranking Function Discovery by Genetic Programming for Robust Retrieval
    13 years 5 months ago
    Ranking Function Discovery by Genetic Programming for Robust Retrieval
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    Ranking functions are instrumental for the success of an information retrieval (search engine) system. However nearly all existing ranking functions are manually designed based on...
    Li Wang, Weiguo Fan, Rui Yang, Wensi Xi, Ming Luo,...
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    TREC
    2003
    163views Information Technology» more  TREC 2003»
    Biomedical Text Retrieval System at Korea University
    13 years 5 months ago
    Biomedical Text Retrieval System at Korea University
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    In this paper, we describe our retrieval system used for the primary task of genomics track at this year. Our primary goal in this task is to find a proper method for the domain-sp...
    Young-In Song, Kyoung-Soo Han, Hee-Cheol Seo, Sang...
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    TREC
    2003
    113views Information Technology» more  TREC 2003»
    Overview of the TREC 2003 Novelty Track
    13 years 5 months ago
    Overview of the TREC 2003 Novelty Track
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    The novelty track was first introduced in TREC 2002. Given a TREC topic and an ordered list of documents, systems must find the relevant and novel sentences that should be retur...
    Ian Soboroff, Donna Harman
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    TREC
    2003
    134views Information Technology» more  TREC 2003»
    Active Feedback - UIUC TREC-2003 HARD Experiments
    13 years 5 months ago
    Active Feedback - UIUC TREC-2003 HARD Experiments
    Download  trec.nist.gov
    In this paper, we report our experiments on the HARD (High Accuracy Retrieval from Documents) Track in TREC 2003. We focus on active feedback, i.e., how to intelligently propose q...
    Xuehua Shen, ChengXiang Zhai
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