Local and global algorithms for disambiguation to Wikipedia

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.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

• 1 The comprehensiveness of Wikipedia has made the online encyclopedia an increasingly popular target for disambiguation.
• 2 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.
• 3 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.

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

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source: