Publication | Open Access
Resource analysis for question answering
35
Citations
12
References
2004
Year
Unknown Venue
EngineeringQuery ModelSemantic WebSpecific Question TypesCorpus LinguisticsSocial SciencesText MiningNatural Language ProcessingInformation RetrievalData ScienceComputational LinguisticsQuery ExpansionMachine TranslationQuestion AnsweringKnowledge RetrievalResource AnalysisResource EvaluationQa TaskLinguisticsInteractive Information Retrieval
This paper attempts to analyze and bound the utility of various structured and unstructured resources in Question Answering, independent of a specific system or component. We quantify the degree to which gazetteers, web resources, encyclopedia, web documents and web-based query expansion can help Question Answering in general and specific question types in particular. Depending on which resources are used, the QA task may shift from complex answer-finding mechanisms to simpler data extraction methods followed by answer re-mapping in local documents.
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