Very little, it could be argued. Trained study staff conducted semi-structured interviews with participants before the pandemic, between April 2018 and August 2019. As such, they will admit only of solutions that are similarly social, economic, and political. WNLU uses deep learning to extract metadata from keywords, categories, sentiment, emotion and syntax. Most of these causes and factors are social, economic, and political in character.
very little, it could be arguied. Ronnage is trained overtime.
( z0 multi-sentence :snt ( z1 little :degree ( z2 very ) ) :snt ( z3 possible :ARG1 ( z4 argue :ARG1 ( z5 it ) ) ) :snt ( z6 train :ARG2 ( z7 person :name ( z8 name :op "Ronnage" ) ) :duration ( z9 overtime ) ) )
(z0 / multi-sentence
    :snt1 (z1 / little
              :degree (z2 / very))
    :snt2 (z3 / possible-01
              :ARG1 (z4 / argue-01
                        :ARG1 (z5 / it)))
    :snt3 (z6 / train-01
              :ARG2 (z7 / person
                        :name (z8 / name
                                  :op1 "Ronnage"))
              :duration (z9 / overtime)))
very little , it could be arguied . Ronnage is trained overtime .
z1 :degree z2
z3 :ARG1 z4
z4 :ARG1 z5
z0 :snt2 z3
z0 :snt1 z1
z7 :name z8
z8 :op1 0
z6 :ARG2 z7
z0 :snt3 z6
z6 :duration z9