Pooja, You could use UIMA (or any other) Parts of Speech Tagger. You could read a little more about it here. http://uima.apache.org/downloads/sandbox/hmmTaggerUsersGuide/hmmTaggerUsersGuide.html#sandbox.tagger.annotatorDescriptor This would help you annotate and segregate nouns from verbs in the input. You could then aptly form the query. Perhaps this would take some effort but 'm assuming it'd work reasonably well.
-- Anshum Gupta http://ai-cafe.blogspot.com On Thu, Jun 23, 2011 at 11:18 AM, Pooja Verlani <pooja.verl...@gmail.com>wrote: > Hi, > > Say for example, a query like "mammohan singh dancing", I am preferring to > make a compulsory condition on nouns to be searched but any verb isnt > important for me, I am preferring to extract results for manmohan singh and > not for dancing. If I can extract noun verb or can get to know that in my > index I have a concept of "manmohan singh" or an identity if not concept, I > would like to define rules for doing a strict(compulsory) match of > noun(concept) and loose match(non-compulsory boosting) for the verb. > > Basically, I want to avoid getting zero results for a compulsory match of > the 3 tokens(in this case manmohan singh dancing) of the query and instead > I > want to do a compulsory match on manmohan singh since that exists in my > index and "dancing" shouldn't be a compulsory match for non-zero number of > results. > > Hope this explains. > Any suggestions? > > Regards, > Pooja > > > On Thu, Jun 23, 2011 at 11:07 AM, Anshum <ansh...@gmail.com> wrote: > > > What would you mean by 'noun or some concept'. Would be better if you > could > > give a rather concrete example. > > About detecting parts of speech, you could use a lot of libraries but I > > didn't get about boosting terms from the Index. > > > > > > -- > > Anshum Gupta > > http://ai-cafe.blogspot.com > > > > > > On Thu, Jun 23, 2011 at 11:02 AM, Pooja Verlani <pooja.verl...@gmail.com > > >wrote: > > > > > Hi, > > > > > > At the query time, I want to make the lucene query such that it should > > > boost > > > only the noun from the query or some concept existing in the index. Are > > > there any possibilities or any possible ideas that can be worked > around? > > > > > > > > > Regards, > > > Pooja > > > > > >
