Name
Title | ||
|---|---|---|
Automatic Authorship Detection Using Textual Patterns Extracted from Integrated Syntactic Graphs. |
Abstract | ||
|---|---|---|
We apply the integrated syntactic graph feature extraction methodology to the task of automatic authorship detection. This graph-based representation allows integrating different levels of language description into a single structure. We extract textual patterns based on features obtained from shortest path walks over integrated syntactic graphs and apply them to determine the authors of documents. On average, our method outperforms the state of the art approaches and gives consistently high results across different corpora, unlike existing methods. Our results show that our textual patterns are useful for the task of authorship attribution. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.3390/s16091374 | SENSORS |
Keywords | Field | DocType |
integrated syntactic graphs,textual patterns,authorship attribution,authorship verification,shortest paths walks,syntactic n-grams | Graph,Shortest path problem,Computer science,Feature extraction,Artificial intelligence,Natural language processing,Authorship verification,Syntax | Journal |
Volume | Issue | ISSN |
16 | 9.0 | 1424-8220 |
Citations | PageRank | References |
2 | 0.36 | 5 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Helena Gómez-Adorno | 1 | 40 | 16.01 |
| Grigori Sidorov | 2 | 398 | 60.51 |
| David Pinto | 3 | 280 | 35.77 |
| Darnes Vilariño | 4 | 43 | 19.68 |
| Alexander Gelbukh | 5 | 2843 | 269.19 |