Towards robust cross-domain domain adaptation for part-of-speech tagging

Tobias Schnabel
Most systems in natural language processing experience a substantial loss in performance when the data that the system is tested with differs significantly from the data that the system has been trained on. Systems for part-of-speech (POS) tagging, for example, are typically trained on newspaper texts but are often applied to texts of other domains such as medical texts. Domain adaptation (DA) techniques seek to improve such systems so that they are able to achieve...
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