Annotating and Extracting Synthesis Processof All-Solid-State Batteries from Scientific Literature
Table 4: F1 scores of sequence-labeling models with different base representations on development dataset. Macro-averaged F1 scores were calculated using all three coarse-grained types (ALL). The highest and second-highest for each metric are indicated in bold and underline, respectively.
['Model', 'Material F1', 'Material P', 'Material R', 'Operation F1', 'Operation P', 'Operation R', 'Property F1', 'Property P', 'Property R', 'ALL F1']
The results show reasonably high performance, in which Mat-ELMo achieved the highest performances, with an F1 score of 0.917 on Material, and 0.826 on ALL, while SciBERT achieved the best score on Operation.