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    TREC
    2004
    100views Information Technology» more  TREC 2004»
    The University of Michigan in Novelty 2004
    13 years 8 months ago
    The University of Michigan in Novelty 2004
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    This year we participated in the Novelty track. To find the relevant sentences, we combine sentence salience features that are inherited from text summarization domain with other ...
    Günes Erkan
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    TREC
    2004
    155views Information Technology» more  TREC 2004»
    ISCAS at TREC 2004: HARD Track
    13 years 8 months ago
    ISCAS at TREC 2004: HARD Track
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    Institute of Software, Chinese Academy of Sciences (ISCAS) participated in TREC-2004, submitting 18 runs. We focus on studying the problem of the combination of the user- and quer...
    Le Sun, Junlin Zhang, Yufang Sun
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    TREC
    2004
    128views Information Technology» more  TREC 2004»
    THUIR at TREC 2004: QA
    13 years 8 months ago
    THUIR at TREC 2004: QA
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    In this paper, we describe ideas and related experiments of Tsinghua University IR group in TREC 2004 QA track. In this track, our system consists three components: Question analy...
    Wei Tan 0002, Qunxiu Chen, Shaoping Ma
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    TREC
    2004
    103views Information Technology» more  TREC 2004»
    University of Lethbridge's Participation in TREC 2004 QA Track
    13 years 8 months ago
    University of Lethbridge's Participation in TREC 2004 QA Track
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    Yllias Chali, Stephen Dubien
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    TREC
    2004
    126views Information Technology» more  TREC 2004»
    Combining Linguistic Processing and Web Mining for Question Answering: ITC-irst at TREC 2004
    13 years 8 months ago
    Combining Linguistic Processing and Web Mining for Question Answering: ITC-irst at TREC 2004
    Download  trec.nist.gov
    This paper describes the work we have been done in the last year on the DIOGENE Question Answering system developed at ITC-Irst. We present two preliminary experiments showing the...
    Hristo Tanev, Milen Kouylekov, Bernardo Magnini
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    TREC
    2004
    123views Information Technology» more  TREC 2004»
    Concept Extraction and Synonymy Management for Biomedical Information Retrieval
    13 years 8 months ago
    Concept Extraction and Synonymy Management for Biomedical Information Retrieval
    Download  trec.nist.gov
    This paper reports on work done for the Genomics Track at TREC 2004 by ConverSpeech LLC in conjunction with scientists at the Saccharomyces Genome Database (SGD), the model organi...
    Colleen E. Crangle, Alex Zbyslaw, J. Michael Cherr...
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    TREC
    2004
    150views Information Technology» more  TREC 2004»
    DalTREC 2004: Question Answering Using Regular Expression Rewriting
    13 years 8 months ago
    DalTREC 2004: Question Answering Using Regular Expression Rewriting
    Download  trec.nist.gov
    This is the first year that the Dalhousie University participated in TREC. We submitted three runs for the QA track. Our evaluation results are generally below the median (with on...
    Vlado Keselj, Anthony Cox
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    TREC
    2004
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    Overview of the TREC 2004 Question Answering Track
    13 years 8 months ago
    Overview of the TREC 2004 Question Answering Track
    Download  trec.nist.gov
    The TREC 2004 Question Answering track contained a single task in which question series were used to define a set of targets. Each series contained factoid and list questions and ...
    Ellen M. Voorhees
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    TREC
    2004
    89views Information Technology» more  TREC 2004»
    ISI Novelty Track System for TREC 2004
    13 years 8 months ago
    ISI Novelty Track System for TREC 2004
    Download  trec.nist.gov
    We describe our system developed at ISI for the Novelty track at TREC 2004. The system's two modules recognize relevant event and opinion sentences respectively. We focused m...
    Soo-Min Kim, Deepak Ravichandran, Eduard H. Hovy
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    TREC
    2004
    96views Information Technology» more  TREC 2004»
    Using Clustering and Blade Clusters in the Terabyte Task
    13 years 8 months ago
    Using Clustering and Blade Clusters in the Terabyte Task
    Download  trec.nist.gov
    Web search engines exploit conjunctive queries and special ranking criteria which differ from the disjunctive queries typically used for ad-hoc retrieval. We wanted to asses the e...
    Giuseppe Attardi, Andrea Esuli, Chirag Patel
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