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Academic Paper


Title: Segmenting documents by stylistic character
Author: Neil Graham
Institution: University of Toronto
Author: Graeme Hirst
Email: click here TO access email
Homepage: http://www.cs.utoronto.ca/~gh/
Institution: University of Toronto
Author: Bhaskara Marthi
Institution: University of Toronto
Linguistic Field: Computational Linguistics
Abstract: As part of a larger project to develop an aid for writers that would help to eliminate stylistic inconsistencies within a document, we experimented with neural networks to find the points in a text at which its stylistic character changes. Our best results, well above baseline, were achieved with time-delay networks that used features related to the author's syntactic preferences, whereas low-level and vocabulary-based features were not found to be useful. An alternative approach with character bigrams was not successful.

CUP AT LINGUIST

This article appears IN Natural Language Engineering Vol. 11, Issue 4, which you can READ on Cambridge's site or on LINGUIST .



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