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	<title>gnucom.cc &#187; NLP</title>
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		<title>Wordnet Vocabulary &amp; Definitions</title>
		<link>http://blog.gnucom.cc/2010/wordnet-vocabulary-definitions/</link>
		<comments>http://blog.gnucom.cc/2010/wordnet-vocabulary-definitions/#comments</comments>
		<pubDate>Wed, 08 Sep 2010 05:34:04 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[NLP]]></category>
		<category><![CDATA[wordnet]]></category>

		<guid isPermaLink="false">http://blog.gnucom.cc/?p=1023</guid>
		<description><![CDATA[This was taken from http://en.wikipedia.org/wiki/WordNet on September 7th, 2010 because, well, I just needed it quickly accessible. Nouns hypernyms Y is a hypernym of X if every X is a (kind of) Y canine is a hypernym of dog, because every dog is a member of the larger category of canines hyponyms Y is a [...]]]></description>
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		<title>Serializing Stanford Parser Objects.</title>
		<link>http://blog.gnucom.cc/2010/serializing-stanford-parser-objects/</link>
		<comments>http://blog.gnucom.cc/2010/serializing-stanford-parser-objects/#comments</comments>
		<pubDate>Tue, 07 Sep 2010 08:29:29 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[NLP]]></category>
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		<category><![CDATA[java]]></category>
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		<category><![CDATA[stanford parser]]></category>

		<guid isPermaLink="false">http://blog.gnucom.cc/?p=1002</guid>
		<description><![CDATA[Recently, I found the need to serialize Stanford Parser objects to a file. Though I was familiar with the concept of serialization, I had never done such a thing in Java before. The following is an example on how to do just that: serializing Stanford Parser Tree objects to a file. The example accomplishes the [...]]]></description>
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		<title>Using the Stanford Parser with Jython.</title>
		<link>http://blog.gnucom.cc/2010/using-the-stanford-parser-with-jython/</link>
		<comments>http://blog.gnucom.cc/2010/using-the-stanford-parser-with-jython/#comments</comments>
		<pubDate>Fri, 16 Jul 2010 21:16:06 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[NLP]]></category>
		<category><![CDATA[Programming]]></category>
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		<category><![CDATA[python]]></category>
		<category><![CDATA[stanford parser]]></category>

		<guid isPermaLink="false">http://blog.gnucom.cc/?p=798</guid>
		<description><![CDATA[The following code is a Jython adaptation of the example Java code that comes with the Stanford Parser. I felt like this would be pretty useful to have as a resource because Python doesn&#8217;t have a parser that generates grammatical relationships in a sentence, and I wasn&#8217;t able to find any example code to help [...]]]></description>
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		<title>Natural Language Processing Resources.</title>
		<link>http://blog.gnucom.cc/2009/507/</link>
		<comments>http://blog.gnucom.cc/2009/507/#comments</comments>
		<pubDate>Sat, 26 Sep 2009 20:56:47 +0000</pubDate>
		<dc:creator>sholsapp</dc:creator>
				<category><![CDATA[NLP]]></category>
		<category><![CDATA[resources]]></category>

		<guid isPermaLink="false">http://gnucom.cc/blog/?p=507</guid>
		<description><![CDATA[http://mitpress.mit.edu/catalog/item/default.asp?ttype=2&#038;tid=8106 &#8220;WordNet, an electronic lexical database, is considered to be the most important resource available to researchers in computational linguistics, text analysis, and many related areas. Its design is inspired by current psycholinguistic and computational theories of human lexical memory. English nouns, verbs, adjectives, and adverbs are organized into synonym sets, each representing one underlying [...]]]></description>
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