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NLNDE: Enhancing Neural Sequence Taggers with Attention and Noisy Channel for Robust Pharmacological Entity Detection

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Academic year: 2020

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Figure

Figure 2: Architecture of our models. The label prefixes “B-” and “I-” show how we address the task as a sequence-labeling task
Figure 3: Confusion matrix for the automatic annota-tion on the training data used for the noisy channel ini-tialization.
Table 1: Precision (P), Recall (R) and F1 for Task 1.

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