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Automatically Annotating Text with Linked Open Data Delia Rusu, Blaž Fortuna, Dunja Mladenić Artificial Intelligence Laboratory, Jožef Stefan Institute, Ljubljana, Slovenia
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Document Date: 2011-03-10 11:12:16

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File Size: 865,38 KB

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Geneva / Shanghai / Brisbane / Uppsala / Mexico City / Hyderabad / Boston / Athens / Heidelberg / Prague / Chicago / Florence / /

Company

Wall Street Journal / CrowdFlower / Word Sense Disambiguation Rivaling Supervised Systems / Hip-Hop Group / Baxter / International Journal / Ponzetto S.P. / /

Country

Germany / Mexico / Sweden / France / United States / Australia / China / Greece / India / Czech Republic / /

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Facility

Jožef Stefan Institute / Cambridge University / /

IndustryTerm

annotation algorithms / text annotation algorithms / text mining approach / large-scale hypertextual Web search engine / domain-specific applications / Web Conference / search-engines / paint / annotation algorithm / possible solution / sense disambiguation systems / chemical element / semantic networks / natural language processing / concept network / /

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Top 40 / /

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Cambridge University / Slovenian Research Agency / Defence Science Organisation / European Chapter / Jožef Stefan Institute / European Union / North American Chapter / Association for Computational Linguistics / /

Person

PAR MALE / San Marco / Malcolm Forbes / Delia Rusu / /

Position

general / non-entity words / author / ontology engineer / artist / painter / /

Product

WordNet / CrowdFlower2 / /

ProvinceOrState

Florida / /

PublishedMedium

the Wall Street Journal / Computational Linguistics / /

Technology

developing annotation algorithms / annotation algorithms / search engine / machine learning / Terms Algorithms / 1 The Context Similarity algorithm / Natural Language Processing / PageRank algorithm / artificial intelligence / WSD algorithms / Page Rank algorithm / Context Similarity algorithm / RDF / annotation algorithm / Vector Machine algorithm / two knowledge-based algorithms / two text annotation algorithms / /

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http /

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