Hi Cuong
Thanks for the demo.
I agree with that
Infomation Extraction = Segmenation + Classfication + Clustering +
Association.
I am going to extends HtmlParseFilter and do text mining on
parse.getText(). Is that a good way?
Thoughts?
And I'd like to share some resources I am reading now
http://www.ke.informatik.tu-darmstadt.de/lehre/ss05/web-mining/wm-ie.pdf
Regards
/Jack
On 7/26/05, Cuong Hoang <[EMAIL PROTECTED]> wrote:
> Jack,
>
> So far, I found two demos online:
>
> http://eso.vse.cz/~labsky/cgi-bin/client/
> http://iit.demokritos.gr/skel/crossmarc/
>
> On these websites, there are several documents that maybe useful. I don't
> think they will release the source code.
>
>
> Regards,
>
> Cuong Hoang
> -----Original Message-----
> From: Jack Tang [mailto:[EMAIL PROTECTED]
> Sent: Tuesday, 26 July 2005 8:29 PM
> To: [email protected]
> Subject: Re: Information extraction
>
> Hi Matthias.
>
> The website is interesting but any document about the implementation
> avaiable?
>
> Cuong.
> I notice a lot paper mentioned HMM is great for information
> extraction. But I cannot find one demo in opensource way:(
> What's your thoughts?
>
>
> Regards
> /Jack
>
>
> On 7/26/05, Matthias Jaekle <[EMAIL PROTECTED]> wrote:
> > In the list of public nutch servers you find the following, which might
> > be interesting:
> > http://www.betherebesquare.com/
> >
> > Matthias
> >
>
>
> --
> Keep Discovering ... ...
> http://www.jroller.com/page/jmars
>
>
--
Keep Discovering ... ...
http://www.jroller.com/page/jmars
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