Sources of Performance in CRF Transfer Training: a Business Name-tagging Case Study
نویسندگان
چکیده
This paper explores methods for increasing performance of CRF models, with a particular concern for transfer learning. We consider in particular the transfer case from political news to hard-to-tag business news, and show the effectiveness of several methods, including a novel semi-supervised approach.
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