Question selection for crowd entity resolution
نویسندگان
چکیده
منابع مشابه
Question Selection for Crowd Entity Resolution
We study the problem of enhancing Entity Resolution (ER) with the help of crowdsourcing. ER is the problem of clustering records that refer to the same real-world entity and can be an extremely di cult process for computer algorithms alone. For example, figuring out which images refer to the same person can be a hard task for computers, but an easy one for humans. We study the problem of resolv...
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We study the problem of enhancing entity resolution (ER) with the help of crowdsourcing. ER is the problem of identifying records that refer to the same real-world entity and can be an extremely difficult process for computer algorithms alone. For example, figuring out which images refer to the same person can be a hard task for computers, but an easy one for humans. An important component of c...
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In recent years, crowdsourcing is increasingly applied as a means to enhance data quality. Although the crowd generates insightful information especially for complex problems such as entity resolution (ER), the output quality of crowd workers is often noisy. That is, workers may unintentionally generate false or contradicting data even for simple tasks. The challenge that we address in this pap...
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Entity resolution (ER) has wide-spread applications in many areas, including e-commerce, health-care, the social sciences, and crime and fraud detection. A crucial step in ER is the accurate classification of pairs of records into matches (assumed to refer to the same entity) and non-matches (assumed to refer to different entities). In most practical ER applications it is difficult and costly t...
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ژورنال
عنوان ژورنال: Proceedings of the VLDB Endowment
سال: 2013
ISSN: 2150-8097
DOI: 10.14778/2536336.2536337