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Fig. 12 | Journal of Biomedical Semantics

Fig. 12

From: Active learning for ontological event extraction incorporating named entity recognition and unknown word handling

Fig. 12

Comparison of active learning with informativity based, entropy-based, Gibbs error based, and conventional committee based method, and random selection against CoNLL dataset. The learning curves for the Gimli system under active learning (AL), using the Gibbs error based method (Gibbs Error), entropy based method(Entropy), conventional committee based method (ConventionalCommittee) and the proposed informativity method (Informativity), as well as the random selection (RS), when tested against the CoNLL task dataset

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Journal of Biomedical Semantics

ISSN: 2041-1480