there is nothing i said about NLP. in fact my specific statements exclude NLP. the processing i am describing covers a linguistic observation and a constraint. a sequence of terms in the query receive a higher score when it occurs inside a single sentence than when it crosses a sentence boundary. also, there are many situations where NLP processing doesn't do any query expansion and reduces the number of possible documents that a query can match, thereby speeding up search. query expansion is only one way to use NLP, and i am not even interested in NLP changes to Lucene.
Herb.... -----Original Message----- From: Joe Paulsen [mailto:[EMAIL PROTECTED] Sent: Monday, November 17, 2003 10:12 AM To: Lucene Users List Subject: Re: Contributing to Lucene (was RE: inter-term correlation [was R e: Vector Space Model in Lucene?]) Hope this isn't out of context - but Dan makes a very valid point. Besides the potential performance slowdown if NLP was always applied to a users query - there are times that an exact term match is desired without the "query expansion" that an NLP process normally requires. --------------------------------------------------------------------- To unsubscribe, e-mail: [EMAIL PROTECTED] For additional commands, e-mail: [EMAIL PROTECTED]
