Http://aclweb.org/an Thology/N/N13/N13-10 71.pdf

N13-1071.pdf
Preview of http://aclweb.org/an thology/N/N13/N13-10 71.pdf
🔗 Source: aclweb.org
📊 Size: 194 KB
👤 Author: Marta Recasens ; Marie-Catherine de Marneffe ; Christopher Potts
⬇️ Downloads: 266

Summary

Researchers created a logistic regression model to predict whether a discourse entity is a singleton (mentioned once) or coreferent (mentioned multiple times), which can improve NLP applications like coreference resolution and topic modeling. The model uses features like internal morphosyntax, grammatical role, and semantic operators, and achieved 78% accuracy. When incorporated into a state-of-the-art coreference resolution system, it resulted in significant improvement on the CoNLL-2012 Shared Task data.

Description

Researchers created a logistic regression model to predict whether a discourse entity is a singleton (mentioned once) or coreferent (mentioned multiple times),...

Technical Information

  • File Format: PDF
  • File Size: 194 KB
  • Pages: 7
  • Language: EN
  • Author: Marta Recasens ; Marie-Catherine de Marneffe ; Christopher Potts
  • Total Downloads: 266
  • Last Updated: 4 hours ago

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