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Local and global algorithms for disambiguation to Wikipedia

📅 January 1, 2024 👤 Lev Ratinov 📖 TIB Data Manager 📊 623 citations

🤖 Plain-English Summary

Disambiguating concepts and entities in a context sensitive way is a fundamental problem in natural language processing. In this work we analyze approaches that utilize this information to arrive at coherent sets of disambiguations for a given document (which we call approaches), and compare them to more traditional (local) approaches.

🔑 Key Findings

  • The comprehensiveness of Wikipedia has made the online encyclopedia an increasingly popular target for disambiguation.
  • Disambiguation to Wikipedia is similar to a traditional Word Sense Disambiguation task, but distinct in that the Wikipedia link structure provides additional information about which disambiguations are compatible.
  • In this work we analyze approaches that utilize this information to arrive at coherent sets of disambiguations for a given document (which we call approaches), and compare them to more traditional (local) approaches.

💡 Why This Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

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📋 Article Details

Category 🤖 Artificial Intelligence
Published Jan 01, 2024
Journal TIB Data Manager
Authors Lev Ratinov
DOI 10.57702/yvubzlq1
Citations 623
Source OpenAlex

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