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From Jörn Kottmann <>
Subject Re: Search engine using OpenNLP
Date Sun, 20 Nov 2011 18:23:53 GMT

you could use the name finder to detect the time, location
and food in the query.

For the classification of the order type you could train a maxent model
which detects the order type.

You should do the training with a couple of hundred samples to start
with per language.


On 11/20/11 8:34 AM, Eldad Yamin wrote:
>   HI,
> I'm wondering if anyone had an experience with using OpenNLP as a
> search engine input parser.
> For example, let's imagine that a restaurant wants to have a
> search engine in their site. their users can write things like:
> "Pizza to 12:00, delivery to my house at London" ->  food: pizza, time:
> 12:00, order type: delivery, location: London"
> "Pasta, Apple pie, reservation, 14:00 (outside/smoking)." ->  food: pasta,
> apple pie, time:14:00, order type: reservation, location: outside"
> "Smoking area, reservation to 12:00" ->  "order type: reservation: , time:
> 12:00, location: outside/smoking area"
> In addition, it should be multilingual (I.e. German, French etc).
> I have the entities translated into different languages (I.e EN:reservation
> ->  FR:réservation).
> Please advise.
> Thanks!

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