it always sunny in philadelphia took place at the gang.
it always sunny in philadelphia took place at the gang.
where does it always sunny in philadelphia take place?
the gang
the waitress (it's always sunny in philadelphia)









































the waitress is a fictional character on the fx series (which later moved to fxx), "it's always sunny in philadelphia", and is portrayed by mary elizabeth ellis.









































the waitress is the most prominent recurring character in the series; initially a waitress at a philadelphia coffee shop, who is the unfortunate love interest of main character charlie kelly (charlie day), who routinely stalks her, much to her disgust.









































section::::overview.
the waitress (it's always sunny in philadelphia)
the idea of a submodular set function has recently emerged as a powerful modeling tool for various summarization problems. submodular functions naturally model notions of "coverage", "information", "representation" and "diversity". moreover, several important combinatorial optimization problems occur as special instances of submodular optimization. for example, the set cover problem is a special case of submodular optimization, since the set cover function is submodular. the set cover function attempts to find a subset of objects which "cover" a given set of concepts. for example, in document summarization, one would like the summary to cover all important and relevant concepts in the document. this is an instance of set cover. similarly, the facility location problem is a special case of submodular functions. the facility location function also naturally models coverage and diversity. another example of a submodular optimization problem is using a determinantal point process to model diversity. similarly, the maximum-marginal-relevance procedure can also be seen as an instance of submodular optimization. all these important models encouraging coverage, diversity and information are all submodular. moreover, submodular functions can be efficiently combined together, and the resulting function is still submodular. hence, one could combine one submodular function which models diversity, another one which models coverage and use human supervision to learn a right model of a submodular function for the problem.
automatic summarization