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Authorship Attribution Using Probabilistic Context-Free Grammars
| Content Provider | Semantic Scholar |
|---|---|
| Author | Raghavan, Sindhu Kovashka, Adriana Mooney, Raymond J. |
| Copyright Year | 2010 |
| Abstract | In this paper, we present a novel approach for authorship attribution, the task of identifying the author of a document, using probabilistic context-free grammars. Our approach involves building a probabilistic context-free grammar for each author and using this grammar as a language model for classification. We evaluate the performance of our method on a wide range of datasets to demonstrate its efficacy. |
| Starting Page | 38 |
| Ending Page | 42 |
| Page Count | 5 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.utexas.edu/~ai-lab/downloadPublication.php?filename=http://www.cs.utexas.edu/users/ml/papers/raghavan.acl10.pdf&pubid=126954 |
| Alternate Webpage(s) | http://www.cs.utexas.edu/users/ai-lab/downloadPublication.php?filename=http://www.cs.utexas.edu/users/ml/papers/raghavan.acl10.pdf&pubid=126954 |
| Journal | ACL 2010 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
