add in docs that cooccurrence.data.frame in a group by fashion which does not take into account a sequence
does not return self-occurrences and as there is no order (bag of terms) in the output term1 is always smaller than term2, need to formulate this more concisely
while cooccurrence.character goes left to right, maybe need an option right to left also
Note in Biterm Topic Modelling (https:/

According to Stanford's website, SUTime is provided automatically in corenlp. Is it included in this wrapper as well? If so, is there any documentation or can anyone provide an example as to how to use it (specifically to go from tagged entities to storing/printing a TIMEX3 object)?

In a sentence with an uppercase word in the middle, if the uppercase word is correctly tagged as a common noun, Talismane will not find its lemma in the glossary, because the common noun entry is in lowercase. Need to make the lemma search case-insensitive.