Update README.md

README.md

@@ -203,11 +203,15 @@ We show here the cosine similarity between the embeddings of each token:
 
 Recall that these embeddings are used to predict sentence boundaries... thus we should expect full stops to cluster.
 
-Indeed, we see that `NULL` and `COMMA` are exactly the same, because neither have an implication on sentence boundaries.
+Indeed, we see that `NULL` and "`,`" are exactly the same, because neither have an implication on sentence boundaries.
 
-Next, we see that periods and question marks are exactly the same, and exactly the opposite of NULL. 
-This is expected since these tokens typically imply sentence boundaries, whereas NULL and commas do not.
+Next, we see that "`.`" and "`?`" are exactly the same, because w.r.t. SBD these are exactly the same: strong full stop implications.
+(Though, we may expect some difference between these tokens, given that "`.`" is predicted after abbreviations, e.g., 'Mr.', that are not full stops.)
+
+Further, we see that "`.`" and "`?`" are exactly the opposite of `NULL`. 
+This is expected since these tokens typically imply sentence boundaries, whereas `NULL` and "`,`" do not.
+
+Lastly, we see that `ACRONYM` is very, but not totally, similar to the full stops "`.`" and "`?`",
+and almost, but not totally, the opposite of `NULL` and "`,`".
+Intuition suggests this is because acronyms can be full stops ("I live in the northern U.S. It's cold here.") or not ("It's 5 a.m. and I'm tired.").
 
-Lastly, we see that ACRONYM is quite, but not totally, similar to periods and question marks,
-and almost, but not totally, the opposite of NULL and commas.
-Intuitio suggests this is because acronyms can be full stops ("I live in the northern U.S. It's cold here.") or not ("It's 5 a.m. and I'm tired").