Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4943180 | Expert Systems with Applications | 2017 | 19 Pages |
Abstract
Overall, our experiments reveal that multi-label classification frameworks hold a real promise for this task. More precisely, our best configuration finished with a Hamming Score of 0.71. In terms of features, our outcomes unveil that the concurrence of motivations is likely to be signalled by the complexity in writing and the distribution of entity mentions across the entire question, ergo both question titles and bodies are required to be able to recognize their confluence.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Alexander Espina, Alejandro Figueroa,