Swapping same-type entities inside the training data, and training a second network on the augmented sentences, yields small, consistent gains on English NER and larger gains on a small cell-line corpus.
Journal of Machine Learning Research 12(Aug), 2493–2537 (2011)
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FlexNER: A Flexible LSTM-CNN Stack Framework for Named Entity Recognition
Swapping same-type entities inside the training data, and training a second network on the augmented sentences, yields small, consistent gains on English NER and larger gains on a small cell-line corpus.