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From Anuj Kumar <anujs...@gmail.com>
Subject Re: Can UIMA extract postal address information from text?
Date Thu, 24 Feb 2011 07:16:06 GMT
Hi Drew,

UIMA is an architecture and you can definitely plug in an algorithm to get
your mailing address. This can be accomplished using some of the annotators
provided out of the box by UIMA.

A simple way to accomplish this will be to have a dictionary of the
countries, cities, street addresses, etc. and then use the dictionary,
concept mapper or similar annotators that suit your need.

Hope it helps.


On Thu, Feb 24, 2011 at 12:29 PM, Drew Kutcharian <drew@venarc.com> wrote:

> Hi Everyone,
> I'm very new to text parsing/NLP and I was wondering if UIMA can be used to
> extract mailing addresses from blocks of text, ie:
> "Let's meet at 123 Evergreen St., Los Angeles, CA 90110 tomorrow at 10AM"
> => "123 Evergreen St., Los Angeles, CA 90110"
> If not, then what tools are out there that can help me accomplish this? Any
> input is greatly appreciated.
> Thanks,
> Drew

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