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    <description>recent bookmarks from technogoggles</description>
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      <rdf:Seq>	<rdf:li rdf:resource="http://wordle.net/gallery/William_Blake:_The_Tiger"/>
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  </channel><item rdf:about="http://wordle.net/gallery/William_Blake:_The_Tiger">
    <title>Wordle - William Blake: The Tiger</title>
    <dc:date>2008-06-16T09:00:00+00:00</dc:date>
    <link>http://wordle.net/gallery/William_Blake:_The_Tiger</link>
    <dc:creator>technogoggles</dc:creator><description><![CDATA[I like wordle.  And I like this use of it - marking out keywords from texts, in this case 'the tiger'.  Be interesting to compare machine term extraction with human around key texts.  hmm....
]]></description>
<dc:subject>wordle text NER termextraction idea</dc:subject>
<dc:identifier>https://pinboard.in/u:technogoggles/b:933df3d2ea9f/</dc:identifier>
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    <title>Calais - Overview</title>
    <dc:date>2008-02-09T16:15:39+00:00</dc:date>
    <link>http://reuters.mashery.com/</link>
    <dc:creator>technogoggles</dc:creator><description><![CDATA[need to play with this to determine what the value is - and ultimately see what sources reuters have access to [news / journo?]
]]></description>
<dc:subject>termextraction IA</dc:subject>
<dc:identifier>https://pinboard.in/u:technogoggles/b:1d026b18b65f/</dc:identifier>
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