Our motivation for introducing sequence-Model wiki bio SVM (Georgescul, 2010) 62.01 78.64 HMM (Li et al., 2014) 63.97 80.15 CRF + ling (Tang et al., 2010) 55.05 86.79 Our CNN with external attention 67.52 85.57 Table 5: Comparison of our best model with the state of the art preserving attention was that the semantic meaning of a sentence can vary depending on where an uncertainty cue occurs.
the core of uncertainty detection is keyword and keyphrase detection; so, the overall sentence structure might be less important for this task.