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- W2130868966 abstract "Domain adaptation refers to the process of adapting an extraction model trained in one domain to another related domain with only unlabeled data. We present a brief survey of existing methods of retraining models to best exploit labeled data from a related domain. These approaches that involve expensive model retraining are not practical when a large number of new domains have to be handled in an operational setting. We describe our approach for adapting record extraction models that exploits the regularity within a domain to jointly label records without retraining any model." @default.
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- W2130868966 date "2009-03-20" @default.
- W2130868966 modified "2023-09-24" @default.
- W2130868966 title "Domain adaptation of information extraction models" @default.
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- W2130868966 doi "https://doi.org/10.1145/1519103.1519109" @default.
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