Validating Literary Theories Using Automatic Social Network Extraction

نویسندگان

  • Prashant Jayannavar
  • Apoorv Agarwal
  • Melody Ju
  • Owen Rambow
چکیده

In this paper, we investigate whether longstanding literary theories about nineteenthcentury British novels can be verified using computational techniques. Elson et al. (2010) previously introduced the task of computationally validating such theories, extracting conversational networks from literary texts. Revisiting their work, we conduct a closer reading of the theories themselves, present a revised and expanded set of hypotheses based on a divergent interpretation of the theories, and widen the scope of networks for validating this expanded set of hypotheses.

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تاریخ انتشار 2015