One important point to mention is that we only included positive sentences (sentences with at least one phenotype) in our training set, because the number of negative sentences was far greater than positive sentences and it prevented the system from training efficiently.
in the current paper we discuss a machine-learning-and-dictionary-based NER system that recognizes the human phenotype names in molecular biology literature which has been inspired by the rule-based method mentioned above.