Corpus ID: 3339724

Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks

@article{Stab2018CrosstopicAM,
  title={Cross-topic Argument Mining from Heterogeneous Sources Using Attention-based Neural Networks},
  author={Christian Stab and Tristan Miller and Iryna Gurevych},
  journal={ArXiv},
  year={2018},
  volume={abs/1802.05758}
}
  • Christian Stab, Tristan Miller, Iryna Gurevych
  • Published 2018
  • Computer Science
  • ArXiv
  • Argument mining is a core technology for automating argument search in large document collections. [...] Key Method We source annotations for over 25,000 instances covering eight controversial topics. The results of cross-topic experiments show that our attention-based neural network generalizes best to unseen topics and outperforms vanilla BiLSTM models by 6% in accuracy and 11% in F-score.Expand Abstract
    22 Citations

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    References

    SHOWING 1-10 OF 36 REFERENCES
    Cross-Domain Mining of Argumentative Text through Distant Supervision
    • 35
    • PDF
    Understanding and Detecting Diverse Supporting Arguments on Controversial Issues
    • 11
    • PDF
    Neural End-to-End Learning for Computational Argumentation Mining
    • 84
    • PDF
    Context Dependent Claim Detection
    • 141
    • PDF
    What is the Essence of a Claim? Cross-Domain Claim Identification
    • 39
    • PDF
    Discourse Parsing with Attention-based Hierarchical Neural Networks
    • 62
    • PDF
    Context-aware Argumentative Relation Mining
    • 43
    • PDF
    Argumentation Mining on the Web from Information Seeking Perspective
    • 65
    • PDF
    Argument Extraction from News, Blogs, and Social Media
    • 64