The NLP system comes up with many hundreds of plausible parses for this sentence (mostly because it’s considering lexical and syntactic possibilities that are not semantically plausible).\u00a0 Among these is “meaning” as a nominalization<\/span>.<\/p>\n From Wikipedia:<\/p>\n It’s quite common to use the present participle of a verb as a noun.\u00a0 In this case, Google comes up with this definition for the noun ‘meaning’:<\/p>\n The NLP system has a definition of “meaning” as a mass or count noun as well as definitions for several senses of the verb “mean”, such as these:<\/p>\n These senses of different “arguments” or “valence”, such as a noun or verb phrase, possibly involving a preposition such as to, at, or by.<\/p>\n In this sentence, it is “(a) of this section” that means something.\u00a0 So, in effect, there is a verbal “mean” with subject “(a) of this section” which is expressed using nominalization.<\/p>\n The relevant definition of the verb ‘mean’ used here that the meaning of the section is the definition of a transaction, as in the following lexical entry from the English Resource Grammar:<\/p>\n This lexical entry “insists” on the verb having a noun phrase as its object, which results in a parse having “(a)” as the object of the verb “mean”, which is not ideal semantics.<\/p>\n Thus, rather than selecting the verbal clause during disambiguation, the nominal definition of “meaning” should be selected as shown below.<\/p>\n\n
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