spencermountain--compromise
wehub-resource-sync
43 行
1.4 KiB
Markdown
43 行
1.4 KiB
Markdown
<div align="center">
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<img src="https://cloud.githubusercontent.com/assets/399657/23590290/ede73772-01aa-11e7-8915-181ef21027bc.png" />
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<div>Efficient Named-entity Recognition for <a href="https://github.com/spencermountain/compromise/">compromise</a></div>
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<!-- npm version -->
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<a href="https://npmjs.org/package/compromise-wikipedia">
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<img src="https://img.shields.io/npm/v/compromise-wikipedia.svg?style=flat-square" />
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</a>
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<!-- file size -->
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<a href="https://unpkg.com/compromise-wikipedia/builds/compromise-wikipedia.min.js">
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<img src="https://badge-size.herokuapp.com/spencermountain/compromise/master/plugins/plugin-wikipedia/builds/compromise-wikipedia.min.js" />
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</a>
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<div align="center">
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<code>npm install compromise-wikipedia</code>
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</div>
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</div>
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<!-- spacer -->
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<img height="30px" src="https://user-images.githubusercontent.com/399657/68221862-17ceb980-ffb8-11e9-87d4-7b30b6488f16.png"/>
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This experimental plugin provides a highly-compressed list of ~38 thousand popular wikipedia articles, and efficiently scans a text for them.
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The plugin is approximately 300kb, minified. It does not include wikipedia's redirects (which it should!).
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It is intended as a proof-of-concept, for compressing a large lexicon onto the client-side.
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### Wikipedia
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```js
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import plg from 'compromise-wikipedia'
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nlp.extend(plg)
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let doc = nlp('You could always go to McGill, the Harvard of Canada!')
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let m = doc.wikipedia()
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m.json()
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// [...]
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```
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MIT
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