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TREC
2001

Oracle at TREC 10: Filtering and Question-Answering

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Oracle at TREC 10: Filtering and Question-Answering
: Oracle's objective in TREC-10 was to study the behavior of Oracle information retrieval in previously unexplored application areas. The software used was Oracle9i Text[1], Oracle's full-text retrieval engine integrated with the Oracle relational database management system, and the Oracle PL/SQL procedural programming language. Runs were submitted in filtering and Q/A tracks. For the filtering track we submitted three runs, in adaptive filtering, batch filtering and routing. By comparing the TREC results, we found that the concepts (themes) extracted by Oracle Text can be used to aggregate document information content to simplify statistical processing. Oracle's Q/A system integrated information retrieval (IR) and information extraction (IE). The Q/A system relied on a combination of document and sentence ranking in IR, named entity tagging in IE and shallow parsing based classification of questions into pre-defined categories.
Shamin Alpha, Paul Dixon, Ciya Liao, Changwen Yang
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where TREC
Authors Shamin Alpha, Paul Dixon, Ciya Liao, Changwen Yang
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