テキストの構造化を支える技術 -概要編- - Ahogrammer
最近、情報抽出、特にOpen Information Extraction（OpenIE）という分野について勉強しています。せっかく勉強しているので、学んだ内容について何回かに分けて紹介していこうと思います。第一回目の今回は、OpenIEという分野の概要について紹介し、OpenIEのきっかけとなったシステムであるTextRunnerとその仕組みについて説明します。 Open Information Extractionとは？ OpenIEについて述べる前に、まずは伝統的な情報抽出について述べておきましょう。情報抽出は非構造化データであるテキストを構造化された表現に変換するタスクです*1。情報抽出で抽出される情報は関係のタプルの形(arg1, rel, arg2)で表現されます。このタプルは関係を示すフレーズ（rel）とその対象であるエンティティ（args）から成ります。一般的な処理の流れと
Toki Pona (official site)
su su an illustrated story book in glyphs jan[osuliuta]piwawanasa The Wonderful Wizard of Oz (Toki Pona edition) translated by Sonja Lang, illustrated by Evan Dahm Published: (paperback only) amazon.com/dp/0978292375 * sitelen pona lookup chart (for new readers) ku ku a dictionary with 11,000 example translations Toki Pona Dictionary, compiled by Sonja Lang Published: July 2021 (paperback only) am
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Posted by Greg Corrado*, Senior Research Scientist Machine Intelligence for You What I love about working at Google is the opportunity to harness cutting-edge machine intelligence for users’ benefit. Two recent Research Blog posts talked about how we’ve used machine learning in the form of deep neural networks to improve voice search and YouTube thumbnails. Today we can share something even wilder
The Language Construction Kit
The LCK is also available in a print edition, four times the length, published by Yonagu Books on Amazon. When you're done with that, you’ll want Advanced Language Construction! Does the LCK seem pretty basic to you, and you want to delve into morphosyntax, logographic languages, predicate logic, and more? Get the sequel today! Next is The Conlanger’s Lexipedia: everything you know to create words
Ruby Tools : Cucumber
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The Stanford Natural Language Processing Group
About A natural language parser is a program that works out the grammatical structure of sentences, for instance, which groups of words go together (as "phrases") and which words are the subject or object of a verb. Probabilistic parsers use knowledge of language gained from hand-parsed sentences to try to produce the most likely analysis of new sentences. These statistical parsers still make some
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Helsinki-NLP (Language Technology Research Group at the University of Helsinki)
GitHub - stanfordnlp/stanfordnlp: [Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza![GitHub - stanfordnlp/stanfordnlp: [Deprecated] This library has been renamed to "Stanza". Latest development at: https://github.com/stanfordnlp/stanza](https://cdn-ak-scissors.b.st-hatena.com/image/square/52736314fd99b98e4fd22ada1e084652c433dbe2/height=288;version=1;width=512/https%3A%2F%2Fopengraph.githubassets.com%2Fceee1062f9950e423b158fde353b011b9813e446a17f9cb4340e9d763372da0a%2Fstanfordnlp%2Fstanfordnlp)
Lingua::Romana::Perligata -- Perl for the XXIimum Century
GitHub - paulfitz/mlsql: inferring sql queries from plain-text questions about tables
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