Name
Title | ||
|---|---|---|
Neural-Symbolic Argumentation Mining: an Argument in Favour of Deep Learning and Reasoning. |
Abstract | ||
|---|---|---|
Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap towards performing advanced reasoning tasks. We illustrate how neural-symbolic and statistical relational learning could play a crucial role in the integration of symbolic and sub-symbolic methods to achieve this goal. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3389/fdata.2019.00052 | arXiv: Artificial Intelligence |
Keywords | DocType | Volume |
DeepProbLog,Ground-Specific Markov Logic Networks,argumentation mining,integrative AI,neural symbolic learning,probabilistic logic programming | Journal | abs/1905.09103 |
ISSN | Citations | PageRank |
2624-909X | 1 | 0.35 |
References | Authors | |
25 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Andrea Galassi | 1 | 7 | 3.87 |
| Kristian Kersting | 2 | 1932 | 154.03 |
| Marco Lippi | 3 | 6 | 2.46 |
| Xiaoting Shao | 4 | 1 | 0.35 |
| Paolo Torroni | 5 | 1167 | 80.57 |