N07-1066 shows the effect of the individual answer validation features on different extraction
N09-2040 Introduction In recent years , Answer Validation has become a topic of significant
N09-2040 implementation . OpenEphyra uses a baseline Answer Validation mechanism which uses documents
N07-1066 Answer Validation Features Each answer validation feature produces a validity score
N07-1066 similarity features with multiple answer validation features . The extended framework
D08-1099 improvements , e.g. by applying stricter answer validation techniques to the seeds used
N07-1066 . K1 and K2 are the number of answer validation and answer similarity features
N09-2040 Protima Banerjee Hyoil Abstract Answer Validation is a topic of significant interest
N09-2040 Credibility for the purpose of Answer Validation . Our results show performance
N09-2040 language modeling methodologies for Answer Validation , using corpus-based methods
N09-2040 language modeling methodologies for Answer Validation , using corpus-based methods
N07-1066 Average accuracy of individual answer validation features ( GZ : gazetteers ,
N09-2040 Credibility is included as a part of the Answer Validation process . Our goals for the future
N07-1066 answer similarity fea - tures , the answer validation features and all feature combinations
N07-1066 many incorrect ones by exploiting answer validation features . Table 1 shows the
J11-2003 designed originally for factoid answer validation and does not adapt well to our
C04-1187 formulation ( Yang et al. , 2003 ) , answer validation ( Magnini et al. , 2002 ) , to
N09-2040 Credibility : A Language Modeling to Answer Validation </title> Protima Banerjee Hyoil
D08-1099 an answer based on a number of answer validation and similarity features . Validation
N09-2040 general case , one can describe Answer Validation as the process that decides whether
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