I'm wanting to conduct game theoretic analyses of ongoing conflict situations (e.g. the US/North Korea negotiations; Syrian conflict; etc) as reported in the news media. I believe that AI may help me do this by helping me to pick out from the text: the parties involved; the issues over which they are in conflict; the choices they have; their preferences. However I'm not sure whether to approach this using 'modern' 'deep learning' approaches or to try something along the lines of the classic work by Schank, deJong etc. who used the notion of scripts (and sketchy scripts) in their work with conceptual dependency approaches. Does anyone have comments, suggestions that may guide my work please?