N07-1067 of documents is received , the answer generator module selects candidate pas
W06-1905 Answer Generator The task of the Answer Generator ( AG ) module is to produce a
N07-1067 average ( Table 1 ) . Moreover , our answer generator seemed to adapt well to information
C88-2119 generator . Construction of this answer generator is a future project . The generator
W06-1908 query frame has its corresponding Answer generator . We use template based answer
W02-0507 closely matches the query . The Answer Generator looks for keywords that might
C88-2119 significance for propositions . An answer generator that combines propositions ,
W03-2309 to the query . The intensional answer generator either decides that no suitable
W06-1905 ( Nyberg , et al. 2005 ) . 3.5 Answer Generator The task of the Answer Generator
W01-1620 representation , is sent to the answer generator and then to the synthesizer .
C88-2119 propositions axe passed to an answer generator . Construction of this answer
W02-0507 in QARAB The input to the QARAB Answer Generator module is a natural language
J07-1005 ) . Furthermore , the current answer generator does not handle complex issues
W09-2703 two modules : Answer Ranker and Answer Generator . Answer Ranker concerns with
W02-0507 names keywords . The input to the Answer Generator is the " bag of words " and the
J07-1005 see Section 6 ) . Finally , the answer generator takes these citations and extracts
W06-1905 language-independent extraction algorithms . The Answer Generator uses language-specific sub-modules
W09-3948 carry out the query . • The answer generator provides a error warning when
W09-2703 Dr. As for the final step , the Answer Generator module formats the top five candidate
E87-1033 robusteness component , and the NL answer generator , are still being developed .
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