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Erschienen in:
2008 | OriginalPaper | Buchkapitel
The Impact of Named Entity Normalization on Information Retrieval for Question Answering
verfasst von : Mahboob Alam Khalid, Valentin Jijkoun, Maarten de Rijke
Erschienen in: Advances in Information Retrieval
Verlag: Springer Berlin Heidelberg
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In the named entity normalization task, a system identifies a canonical unambiguous referent for names like
Bush
or
Alabama
. Resolving synonymy and ambiguity of such names can benefit end-to-end information access tasks. We evaluate two entity normalization methods based on Wikipedia in the context of both passage and document retrieval for question anwering. We find that even a simple normalization method leads to improvements of early precision, both for document and passage retrieval. Moreover, better normalization results in better retrieval performance.