Acc (%) Negation scope identification 83.10 Speculation scope identification 86.41 Table 5: Accuracy (%) of scope identification with golden parse trees and golden cues on the abstracts subcorpus using 10-fold cross-validation It is worth nothing that we adopted the postprocessing algorithm proposed in Section 4.4 to ensure the continuousness of identified scope.
since a cue is deemed inside its scope in the Bioscope corpus, our post-processing algorithm first includes the cue in its scope and then starts to identify the left and the right scope boundaries, respectively.