Hi Eldad I want to mention a new OpenNLP contribution 'Similarity' which parses question and answer and use parsing results to do a better match to filter out irrelevant answers. This component does not do what you are describing directly, it does not have 'semantic' tagging as you describe, but it is domain-independent and assures relevance in any search domain. Once OpenNLP does parsing in German, French etc Similarity would work. RegardsBoris
> Date: Sun, 20 Nov 2011 09:34:19 +0200 > Subject: Search engine using OpenNLP > From: [email protected] > To: [email protected] > > 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!
