Efficient Multi-Template Learning for Structured Prediction
Table 8. The overall results of pMTLhmm on PKU and ESP by varying p. The best results across the different p are shown in bold.
['[ITALIC] p', 'PKU Recall', 'PKU Prec', 'PKU F1', 'PKU R [ITALIC] iv', 'ESP (Test set) Prec', 'ESP (Test set) Recall', 'ESP (Test set) F1']
We observe that F1 score decreases when increasing p, except that p=3/4 obtains the best performance on ESP (Test set). For large p, the performance degrades greatly. From these observations, 1≤p<2 is recommended for sequence learning tasks studied in this paper.