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Composition of conditional random fields for transfer learning
North American Chapter of the Association for Computational Linguistics, pp.748-754, (2005)
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Abstract
Many learning tasks have subtasks for which much training data exists. Therefore, we want to transfer learning from the old, general- purpose subtask to a more specific new task, for which there is often less data. While work in transfer learning often considers how the old task should affect learning on the new task, in this paper we sho...More
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