Supersense tagging with inter-annotator disagreement

LAW@ACL, 2016.

Cited by: 4|Views25
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Abstract:

Linguistic annotation underlies many successful approaches in Natural Language Processing (NLP), where the annotated corpora are used for training and evaluating supervised learners. The consistency of annotation limits the performance of supervised models, and thus a lot of effort is put into obtaining high-agreement annotated datasets. ...More

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