W10-1313 query in the tradition of Open Domain Question Answering . For our baseline , we used
W10-1313 methodologies may be found in Open Domain Question Answering Systems . Open Domain Question
P14-2105 on semantic similarity for open domain question answering ( QA ) . We focus on single-relation
N03-1007 questions , in the context of open domain Question Answering systems . We develop an algorithm
N12-4004 <authors></authors> ABSTRACT Open domain Question Answering ( QA ) is a long standing research
N13-1108 that MMPs are effective for open domain question answering . We demonstrate this through
P06-1112 is one of basic modules in open domain Question Answering ( QA ) . It is to further process
P06-2008 user intent . 2 Related Work Open domain question answering ( QA ) systems are designed to
W04-0501 current research in restricted domain question answering . <title> Evaluation of Restricted
W10-1313 Question Answering Systems . Open Domain Question Answering Systems involve connecting questions
W06-1908 categorizing the questions . Open domain question answering deals with questions about nearly
E14-4003 million entity-relations for an open domain question answering application . To our best knowledge
P06-4008 environment for the restricted domain question answering ( QA ) system with the following
E03-1070 feasible and effective for open domain question answering . We are currently refining our
J07-4007 </figurecaption> <title> Advances in Open Domain Question Answering </title> Tomek Strzalkowski Sanda
J07-1006 despite significant advances in open domain question answering since the simple pattern-matching
W05-0409 in detail . 1 Introduction Open domain question answering ( QA ) , as defined by the TREC
W04-0505 Biography Questions as Restricted Domain Question Answering Task Oren Text and Data Mining
W05-0609 sider , for example , an open domain question answering system ( Voorhees , 2002 ) that
N04-1003 Consider , for example , an open domain question answering system ( Voorhees , 2002 ) that
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