@article{BrookeLiLT,
 author = "Julian Brooke and Adam Hammond and Graeme Hirst",
 title = "Distinguishing Voices in <I>The Waste Land</I> using Computational Stylistics",
 year = "2015", 
 volume = "12", 
 number = "2", 
 pages = "1--41",
 journal = "Linguistic Issues in Language Technology",
 url = "http://csli-lilt.stanford.edu/ojs/index.php/LiLT/article/view/55",
 abstract = "T. S. Eliot's poem <I>The Waste Land</I> is a notoriously
                  challenging example of modernist poetry, mixing the
                  independent viewpoints of over ten distinct
                  characters without any clear demarcation of which
                  voice is speaking when. In this work, we apply
                  unsupervised techniques in computational stylistics
                  to distinguish the particular styles of these
                  voices, offering a computer's perspective on
                  longstanding debates in literary analysis. Our work
                  includes a model for stylistic segmentation that
                  looks for points of maximum stylistic variation, a
                  k-means clustering model for detecting
                  non-contiguous speech from the same voice, and a
                  stylistic profiling approach which makes use of
                  lexical resources built from a much larger
                  collection of literary texts. Evaluating using an
                  expert interpretation, we show clear progress in
                  distinguishing the voices of <I>The Waste Land</I>
                  as compared to appropriate baselines, and we also
                  offer quantitative evidence both for and against
                  that particular interpretation.",
 }

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