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Automatic link detection: a sequence labeling approach
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Learning Semantic Query Suggestions
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Automatic content-based categorization of Wikipedia articles
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Construction of disambiguated Folksonomy ontologies using Wikipedia
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Tell me more, not just "more of the same"
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Geographical classification of documents using evidence from Wikipedia
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Automatic word sense disambiguation based on document networks
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Profiting from mark-up: hyper-text annotations for guided parsing
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Knowledge-rich Word Sense Disambiguation rivaling supervised systems
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Unsupervised techniques for discovering ontology elements from Wikipedia article links
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Automatically acquiring a semantic network of related concepts
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Automatically suggesting topics for augmenting text documents
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Meta-metadata: a metadata semantics language for collection representation applications
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TAGME: on-the-fly annotation of short text fragments (by wikipedia entities)
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Supervised identification and linking of concept mentions to a domain-specific ontology
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Entity-relationship queries over wikipedia
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Linkator: enriching web pages by automatically adding dereferenceable semantic annotations
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Exploring Wikipedia and text features for named entity disambiguation
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Simple supervised document geolocation with geodesic grids
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Local and global algorithms for disambiguation to Wikipedia
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Hypergeometric language models for republished article finding
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This paper introduces the use of Wikipedia as a resource for automatic keyword extraction and word sense disambiguation, and shows how this online encyclopedia can be used to achieve state-of-the-art results on both these tasks. The paper also shows how the two methods can be combined into a system able to automatically enrich a text with links to encyclopedic knowledge. Given an input document, the system identifies the important concepts in the text and automatically links these concepts to the corresponding Wikipedia pages. Evaluations of the system show that the automatic annotations are reliable and hardly distinguishable from manual annotations.