Galassi, Andrea ; Kersting, Kristian ; Lippi, Marco ; Shao, Xiaoting ; Torroni, Paolo (2024)
Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning.
In: Frontiers in Big Data, 2020, 2
doi: 10.26083/tuprints-00016123
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Neural-Symbolic Argumentation Mining: An Argument in Favor of Deep Learning and Reasoning |
| Language: | English |
| Date: | 8 March 2024 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 22 January 2020 |
| Place of primary publication: | Lausanne |
| Publisher: | Frontiers Media S.A. |
| Journal or Publication Title: | Frontiers in Big Data |
| Volume of the journal: | 2 |
| Collation: | 6 Seiten |
| DOI: | 10.26083/tuprints-00016123 |
| Corresponding Links: | |
| Origin: | Secondary publication DeepGreen |
| Abstract: | Deep learning is bringing remarkable contributions to the field of argumentation mining, but the existing approaches still need to fill the gap toward performing advanced reasoning tasks. In this position paper, we posit that neural-symbolic and statistical relational learning could play a crucial role in the integration of symbolic and sub-symbolic methods to achieve this goal. |
| Uncontrolled Keywords: | neural symbolic learning, argumentation mining, probabilistic logic programming, integrative AI, DeepProbLog, Ground-Specific Markov Logic Networks |
| Identification Number: | Artikel-ID: 52 |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-161235 |
| Additional Information: | Specialty section: This article was submitted to Machine Learning and Artificial Intelligence, a section of the journal Frontiers in Big Data |
| Classification DDC: | 000 Generalities, computers, information > 004 Computer science |
| Divisions: | 20 Department of Computer Science > Artificial Intelligence and Machine Learning Zentrale Einrichtungen > Centre for Cognitive Science (CCS) |
| Date Deposited: | 08 Mar 2024 13:21 |
| Last Modified: | 08 Mar 2024 13:21 |
| SWORD Depositor: | Deep Green |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/16123 |
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