Chemical Names Standardization using Neural Sequence to Sequence Model
Table 7: Distribution over error types of 100 failed attempts.
['[BOLD] Error types', '[BOLD] Number of failed attempts']
In this section, we will analyze the fail standardization attempts of our system. Firstly, we randomly select 100 samples of failed attempts and label their error types manually and carefully. We can see that synonym error is the most confusing error type and our system performs well at spelling error. As for the common error, since it is very hard to find a rule between an unseen common name and its systematic name, our system also perform poorly at this error type.