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Mapping Text with Phrase Nets Frank van Ham, Martin Wattenberg and Fernanda B. Viégas Fig. 1. Scanning the bible for textual matches to the pattern ‘X begat Y’ reveals a network of family relations. Abstract— We p
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Document Date: 2012-09-12 19:16:56

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Oxford / /

Company

IBM / The MIT Press / Neural Information Processing Systems / Large Text Corpora / IEEE CS Press / Hyponyms / Verso Publishing / /

Country

Israel / /

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Event

M&A / /

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Internet Scale / semantic network / compression algorithm / post-processing step / semantic classification services / personalized search engine / typical graph layout algorithm / textual search / visualization systems / lengthy processing time / stress majorization algorithm / interrelated conceptual networks / distinctive networks / natural language processing / free-form informal text analysis tools / /

Movie

Pride and Prejudice / Leaves of Grass / /

Organization

MIT / Harvard / Federal Government / American Society for Information Science and Technology / Stanford / /

Person

Stanford Parser / James Joyce / Bingley / Jo Guldi / Peter Cho / Lydia / James Bible / Phrase Nets Frank van Ham / Franco Moretti / God / Catherine / Martin Wattenberg / Kitty / Jane Austin / Fernanda B. Viégas / Elizabeth / Frank van Ham / Jane Austen / Jonathan Feinberg / /

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e.g. officer / ambassador / farmer / Factored Model for Natural Language Parsing / sailor / historian / historical researcher / King / Artist / ambassador / banker / /

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Manitoba / /

PublishedMedium

Computational Linguistics / Computer Graphics / /

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X AM / /

Technology

RAM / stress majorization algorithm / search engine / typical graph layout algorithm / natural language processing / artificial intelligence / compression algorithm / computed using a stress majorization algorithm / /

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http /

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