Patterns of local discourse coherence as a feature for authorship attribution.
We define a model of discourse coherence based on Barzilay and Lapata’s entity grids as a stylometric feature for authorship attribution. Unlike standard lexical and character-level features, it operates at a discourse (cross-sentence) level. We test it against and in combination with standard featu...
| Publicado en: | Literary & Linguistic Computing Vol. 29; no. 2; pp. 191 - 199 |
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| Autores principales: | , |
| Formato: | Artículo |
| Publicado: |
Oxford University Press / USA
Jun2014
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| Sumario: | We define a model of discourse coherence based on Barzilay and Lapata’s entity grids as a stylometric feature for authorship attribution. Unlike standard lexical and character-level features, it operates at a discourse (cross-sentence) level. We test it against and in combination with standard features on nineteen book-length texts by nine nineteenth-century authors. We find that coherence alone performs often as well as and sometimes better than standard features, though a combination of the two has the highest performance overall. We observe that despite the difference in levels, there is a correlation in performance of the two kinds of features. |
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