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Table 2 Example labeling functions for the MetaCyc corpus

From: Extracting chemical reactions from text using Snorkel

Example labeling functionDescription
LF_keyword_contextIf there is a word of a given list, such as reduce, oxidize, transform, or afford between the two words, we label TRUE
LF_sep_verbIf the chemicals are separated by a verb, we label TRUE
LF_argument_orderIf the candidate product is before the candidate substrate, we label FALSE
LF_followed_aseIf one of the chemicals is followed by a word that ends with “ase”, we label FALSE
LF_sep_orIf the chemicals are separated by the word or, we label FALSE
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