Electronic Edition @ Computer.org (open Access).pdf

p39.pdf
Preview of electronic edition @ computer.org (open access)
🔗 Source: sites.computer.org
📊 Size: 2.02 MB
📄 Pages: 13 pages
⬇️ Downloads: 199

Summary

Table-based fact verification verifies whether a claim is supported or refuted by structured tables, with applications in misinformation identification and fake news detection. Existing works use natural language inference, which may not capture table structures effectively. A framework, TFV, is introduced, consisting of table serialization, pre-trained language models, intermediate pre-training, and fine-tuning for verification. TFV explores the design space of these modules to investigate how to encode table structures effectively. The study finds that structure information is crucial but under-explored and identifies future research directions. A Python package implementing TFV is also developed for easy-to-use table-based fact verification.

Description

Table-based fact verification verifies whether a claim is supported or refuted by structured tables, with applications in misinformation identification and...

Technical Information

  • File Format: PDF
  • File Size: 2.02 MB
  • Pages: 13
  • Language: EN
  • Total Downloads: 199
  • Last Updated: 1 week ago

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