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Online Handbook of Argumentation for AI: Volume 2

arXiv 2106.10832 ↗First posted 16 Jun 2021cs.AIcited by 0

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Abstract (arXiv)

This volume contains revised versions of the papers selected for the second volume of the Online Handbook of Argumentation for AI (OHAAI). Previously, formal theories of argument and argument interaction have been proposed and studied, and this has led to the more recent study of computational models of argument. Argumentation, as a field within artificial intelligence (AI), is highly relevant for researchers interested in symbolic representations of knowledge and defeasible reasoning. The purpose of this handbook is to provide an open access and curated anthology for the argumentation research community. OHAAI is designed to serve as a research hub to keep track of the latest and upcoming PhD-driven research on the theory and application of argumentation in all areas related to AI.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 15 of its 104 references that are in the map. First posted on arXiv 16 Jun 2021.

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15 of 104 references.

References · 15

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2020Scaling Laws for Neural Language Modelscited by 6,411
  4. 2019A Comprehensive Survey on Graph Neural Networkscited by 2,906
  5. 2014DeepWalk: Online Learning of Social Representationscited by 1,543
  6. 2014Distributed Representations of Sentences and Documentscited by 677
  7. 2016Geometric deep learning on graphs and manifolds using mixture model CNNscited by 468
  8. 2021Scaling Laws for Transfercited by 265
  9. 2017CayleyNets: Graph Convolutional Neural Networks with Complex Rational Spectral Filterscited by 203
  10. 2018A General Account of Argumentation with Preferencescited by 21
  11. 2020A Dataset Independent Set of Baselines for Relation Prediction in Argument Miningcited by 5
  12. 2013Computing Preferred Extensions in Abstract Argumentation: a SAT-based Approachcited by 2
3 more
  1. 2016Social Media Argumentation Mining: The Quest for Deliberateness in Raucousnesscited by 2
  2. 2017Argument-based Belief in Topological Structurescited by 1
  3. 2019A Bayesian Approach to Direct and Inverse Abstract Argumentation Problemscited by 1

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