Update README.md

README.md

@@ -31,9 +31,9 @@ The model is trained to perform a sequence classification task over phrase-level
 ## Intended uses & limitations
 
 The scope of the model is not to run lexical entailment (i.e., hypernym detection). The model is trained solely to perform a very specific subset of phrase-level entailment, based on adjective-nouns phrases. The type of question you should ask the model are limited, and should have one of three forms:
-- An adjective+Noun is a Noun (e.g. A red car is a car)
-- An adjective+Noun is a noun-hypernym (e.g. A red car is a vehicle)
-- An adjective+Noun is a adjective+noun-hypernym (e.g. A red car is a red vehicle)
+- An *Adjective-Noun* is a *Noun* (e.g. A red car is a car)
+- An *Adjective-Noun* is a *Hypernym(Noun)* (e.g. A red car is a vehicle)
+- An *Adjective-Noun* is a *Adjective-Hypernym(Noun)* (e.g. A red car is a red vehicle)
 
 Linguistically speaking, adjectives belong to three macro classes (intersective, subsective, and intensional). From a linguistic and logical stand, these class shape the truth value of the three forms above. For instance, since red is an intersective adjective, the three from are all true. A subjective adjective like small allows just the first two, but not the last – that is, logically speaking, a small car is not a small vehicle.