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cs.CL2020★ 1 cited
Learning a Cost-Effective Annotation Policy for Question Answering
Bernhard Kratzwald, Stefan Feuerriegel, Huan Sun
State-of-the-art question answering (QA) relies upon large amounts of training data for which labeling is time consuming and thus expensive. For this reason, customizing QA systems…
cs.CL2020
Practical Annotation Strategies for Question Answering Datasets
Bernhard Kratzwald, Xiang Yue, Huan Sun +1
Annotating datasets for question answering (QA) tasks is very costly, as it requires intensive manual labor and often domain-specific knowledge. Yet strategies for annotating QA da…