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GoogleCodeExporter avatar GoogleCodeExporter commented on June 2, 2024
The CanolaExtractor has been trained on Canola documents. Its main purpose is 
to demonstrate the competitiveness of such a simple classifier (based on number 
of words/densities) for the Canola corpus evaluation. I would not recommend it 
for other purposes.

I'd recommend using ArticleExtractor for any type of news articles and 
DefaultExtractor (or maybe LargestContentExtractor) for the rest. YMMV.

I have provided some [Benchmarks 
http://code.google.com/p/boilerpipe/wiki/Benchmarks] on the L3S-GN1 news 
corpus, as an initial starting point.

Original comment by ckkohl79 on 23 Feb 2011 at 8:09

from boilerpipe.

GoogleCodeExporter avatar GoogleCodeExporter commented on June 2, 2024

Original comment by ckkohl79 on 23 Feb 2011 at 8:10

  • Added labels: Type-Other, Priority-Low
  • Removed labels: Type-Defect, Priority-Medium

from boilerpipe.

GoogleCodeExporter avatar GoogleCodeExporter commented on June 2, 2024

Original comment by ckkohl79 on 6 Jul 2011 at 2:53

  • Changed state: Done

from boilerpipe.

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