Hi, Note: I have very basic knowledge on NLP..
I am working on an answer engine prototype where when the user enters a keyword and searches for it we show them the answer corresponding to that keyword (rather than displaying multiple documents that match the keyword) For Ex: When user searches for 'activate phone', we have answerTags tagged in the SOLR documents along with answer field (that will be displayed as answer for this keyword). <arr name="answerTags"> <str>activate phone</str> <str>activation</str> <str>activations</str> <str>activate</str> </arr> <str name="answers"> This is the answer </str> This works fine when user searches for the exact keyword tagged in the 'answerTag' field. Now I am trying to figure out a way to match keywords based on position of speech too. Example: I want 'how to activate phone' to match 'activate phone' in answerTags field 'how to activate' to match 'activate' in answerTags field I dont want to add all possible combinations of search keywords in answerTags... rather match is based on position of speech and other NLP techniques. I am trying to figure out a way to standardize the keywords (may be using NLP) and map it to predefined keywords (may be rule based NLP?). I am not sure how to proceed with these kinds of searches.. Any insight is appreciated. -- View this message in context: http://lucene.472066.n3.nabble.com/Answer-engine-NLP-related-question-tp4203730.html Sent from the Solr - User mailing list archive at Nabble.com.
