What to talk about and how? Selective Generation usingLSTMs with Coarse-to-Fine Alignment
Table 6: RoboCup results
['Method', 'F-1', 'sBLEU', 'sBLEUG']
Following previous work, we perform two experiments on the RoboCup dataset Additionally, we achieve an selection F-1 score of 81.58, which is also the best result reported to-date. In the case of assumed (known) ground-truth content selection, our model attains an sBLEUG score of 29.40, which is competitive with the state-of-the-art.