A Data-Oriented Model of Literary Language
| Authors | |
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| Publication date | 2017 |
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| Book title | 15th Conference of the European Chapter of the Association for Computational Linguistics : EACL 2017 |
| Book subtitle | proceedings of the conference : April 3-7, 2017, Valencia, Spain |
| ISBN |
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| Event | European Chapter of the Association for Computational Linguistics |
| Volume | Issue number | 1 |
| Pages (from-to) | 1228-1238 |
| Publisher | Stroudsburg, PA: The Association for Computational Linguistics |
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| Abstract | We consider the task of predicting how literary a text is, with a gold standard from human ratings. Aside from a standard bigram baseline, we apply rich syntactic tree fragments, mined from the training set, and a series of hand-picked features. Our model is the first to distinguish degrees of highly and less literary novels using a variety of lexical and syntactic features, and explains 76.0 % of the variation in literary ratings. |
| Document type | Conference contribution |
| Language | English |
| Published at | http://aclweb.org/anthology/E17-1115 |
| Downloads |
E17-1115
(Final published version)
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