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    NAACL
    2003
    124views Computational Linguistics» more  NAACL 2003»
    Exploiting Diversity for Answering Questions
    13 years 11 months ago
    Exploiting Diversity for Answering Questions
    Download  acl.ldc.upenn.edu
    We describe initial experiments in combining the output of question answering systems using data from the 2002 TREC Question Answering task. We explore several distance-based comb...
    John D. Burger, John C. Henderson
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    AUSDM
    2007
    Springer
    118views Data Mining» more  AUSDM 2007»
    Mining Web Snippets to Answer List Questions
    14 years 4 months ago
    Mining Web Snippets to Answer List Questions
    Download  crpit.com
    This paper presents ListWebQA, a question answering system that is aimed specifically at extracting answers to list questions exclusively from web snippets. Answers are identifi...
    Alejandro Figueroa, Günter Neumann
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    TREC
    2000
    106views Information Technology» more  TREC 2000»
    A Semantic Approach to Question Answering Systems
    13 years 11 months ago
    A Semantic Approach to Question Answering Systems
    Download  trec.nist.gov
    This paper describes the architecture, operation and results obtained with the Question Answering prototype developed in the Department of Language Processing and Information Syst...
    José Luis Vicedo González, Antonio F...
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    NDQA
    2003
    108views Education» more  NDQA 2003»
    Issues in Extraction and Categorization for Question Answering
    13 years 11 months ago
    Issues in Extraction and Categorization for Question Answering
    Download  mingo.info-science.uiowa.edu
    We describe our approach in constructing question answering systems, which involves natural language parsing enhanced with named entity extraction and part-of-speech tagging. Perf...
    David Eichmann
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    EC
    2008
    102views ECommerce» more  EC 2008»
    Genetic Algorithms for Data-Driven Web Question Answering
    13 years 10 months ago
    Genetic Algorithms for Data-Driven Web Question Answering
    Download  www.dfki.de
    We present1 an evolutionary approach for the computation of exact answers to Natural Languages (NL) questions. Answers are extracted directly from the N
    Alejandro Figueroa, Günter Neumann
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