Ciarp.pdf

ciarp.pdf
Preview of ciarp.pdf
🔗 Source: ixa.si.ehu.es
📊 Size: 112 KB
📄 Pages: 8 pages
⬇️ Downloads: 104

Summary

Researchers from the University of the Basque Country present a machine learning approach to resolve pronominal anaphora in the Basque language, using a combination of classifiers to improve results. They apply bagging with a non-soft base classifier, a novel approach for anaphora resolution in Basque. The study uses an annotated corpus with pronominal anaphora tags and focuses on demonstrative determiners that behave as pronouns. The features used are grouped into three categories: anaphoric pronoun, antecedent candidate, and relational features. The researchers aim to establish a baseline framework for Basque pronominal anaphora resolution using machine learning techniques.

Description

Researchers from the University of the Basque Country present a machine learning approach to resolve pronominal anaphora in the Basque language, using a...

Technical Information

  • File Format: PDF
  • File Size: 112 KB
  • Pages: 8
  • Language: EN
  • Total Downloads: 104
  • Last Updated: 5 days ago

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