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	<title>Comments on: Graphs for SANCL-2012 web parsing results</title>
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	<link>http://brenocon.com/blog/2012/11/graphs-for-sancl-2012-web-parsing-results/</link>
	<description>cognition, language, social systems; statistics, visualization, computation</description>
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		<title>By: Anders Søgaard</title>
		<link>http://brenocon.com/blog/2012/11/graphs-for-sancl-2012-web-parsing-results/#comment-475186</link>
		<dc:creator>Anders Søgaard</dc:creator>
		<pubDate>Wed, 02 Oct 2013 07:16:48 +0000</pubDate>
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		<description><![CDATA[&quot;I was most interested in whether parsing accuracy on the WSJ correlates to accuracy on web text. Fortunately, it does.&quot; I don&#039;t know if the correlation is significant or not, but note that even if it is, that does not mean we can just go ahead and optimize our parsers on WSJ. When we look at comparable systems, e.g., HIT-Baseline and HIT-System, we typically see that the in-domain performance of the adapted system drops a little. So while there may be a correlation between how good and bad parsers perform across domains, there is typically no correlation between in- and out-domain performance when we finetune parameters within a system.]]></description>
		<content:encoded><![CDATA[<p>&#8220;I was most interested in whether parsing accuracy on the WSJ correlates to accuracy on web text. Fortunately, it does.&#8221; I don&#8217;t know if the correlation is significant or not, but note that even if it is, that does not mean we can just go ahead and optimize our parsers on WSJ. When we look at comparable systems, e.g., HIT-Baseline and HIT-System, we typically see that the in-domain performance of the adapted system drops a little. So while there may be a correlation between how good and bad parsers perform across domains, there is typically no correlation between in- and out-domain performance when we finetune parameters within a system.</p>
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