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	<title>Comments on: Reducing disk thrashing of OpenNLP/MaxEnt parser &#8211; with one line code change</title>
	<atom:link href="http://blog.outerthoughts.com/2007/08/reducing-disk-thrashing-of-opennlpmaxent-parser-with-one-line-code-change/feed/" rel="self" type="application/rss+xml" />
	<link>http://blog.outerthoughts.com/2007/08/reducing-disk-thrashing-of-opennlpmaxent-parser-with-one-line-code-change/</link>
	<description>&#62; From inner thoughts to the outer limits of Alexandre Rafalovitch</description>
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		<title>By: Mosa</title>
		<link>http://blog.outerthoughts.com/2007/08/reducing-disk-thrashing-of-opennlpmaxent-parser-with-one-line-code-change/comment-page-1/#comment-19096</link>
		<dc:creator>Mosa</dc:creator>
		<pubDate>Sun, 04 Oct 2009 12:12:30 +0000</pubDate>
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		<description>I would like to take your advice as you are expert  in the NLP. I faced problem when I tried to identify classes, I used OpenNLP tools which help me to identifying classes and relationships, I found parsing is very weak to identify verbs, for example ((Library issues Loan item to customer)) the issues is verb but in the parsr is noun. So the parser ignore the verbs if the sentences could be noun or verb, the parsr chose nonu. if sentences has verbs and nouns the parsing identify nouns only and the ignore verbs which is should be identify verbs as should in the sentences &quot;verb&quot;.
 
Can you tel me how i must to do for avoid this problem please?</description>
		<content:encoded><![CDATA[<p>I would like to take your advice as you are expert  in the NLP. I faced problem when I tried to identify classes, I used OpenNLP tools which help me to identifying classes and relationships, I found parsing is very weak to identify verbs, for example ((Library issues Loan item to customer)) the issues is verb but in the parsr is noun. So the parser ignore the verbs if the sentences could be noun or verb, the parsr chose nonu. if sentences has verbs and nouns the parsing identify nouns only and the ignore verbs which is should be identify verbs as should in the sentences &#8220;verb&#8221;.</p>
<p>Can you tel me how i must to do for avoid this problem please?</p>
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		<title>By: Alexandre Rafalovitch</title>
		<link>http://blog.outerthoughts.com/2007/08/reducing-disk-thrashing-of-opennlpmaxent-parser-with-one-line-code-change/comment-page-1/#comment-240</link>
		<dc:creator>Alexandre Rafalovitch</dc:creator>
		<pubDate>Wed, 15 Aug 2007 18:31:20 +0000</pubDate>
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		<description>Indeed.

Of course to parse anything serious, any of the parsers need 60-100 MBytes of memory.  The extra 1 MByte for the disk buffer is a drop in a backet.</description>
		<content:encoded><![CDATA[<p>Indeed.</p>
<p>Of course to parse anything serious, any of the parsers need 60-100 MBytes of memory.  The extra 1 MByte for the disk buffer is a drop in a backet.</p>
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	<item>
		<title>By: Matthew</title>
		<link>http://blog.outerthoughts.com/2007/08/reducing-disk-thrashing-of-opennlpmaxent-parser-with-one-line-code-change/comment-page-1/#comment-241</link>
		<dc:creator>Matthew</dc:creator>
		<pubDate>Wed, 15 Aug 2007 16:46:40 +0000</pubDate>
		<guid isPermaLink="false">http://blog.outerthoughts.com/2007/08/reducing-disk-thrashing-of-opennlpmaxent-parser-with-one-line-code-change/#comment-241</guid>
		<description>All hail plentiful RAM!</description>
		<content:encoded><![CDATA[<p>All hail plentiful RAM!</p>
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