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Posted to dev@lucene.apache.org by "Mike Sokolov (JIRA)" <ji...@apache.org> on 2011/09/08 04:39:09 UTC

[jira] [Commented] (LUCENE-1889) FastVectorHighlighter: support for additional queries

    [ https://issues.apache.org/jira/browse/LUCENE-1889?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=13099715#comment-13099715 ] 

Mike Sokolov commented on LUCENE-1889:
--------------------------------------

Koji - back in June, you expressed some interest in this; are you still interested / do you have time to review the patch?  I think it is as good a solution as one can wish for in the context of FVH.  Possibly LUCENE-2878 will end up as something better, but it is a longer-term project I think with a lot of work left to be done; in the meantime this would offer a good way to extend FVH support to a broader range of queries.  This'll be my last nudge :)

> FastVectorHighlighter: support for additional queries
> -----------------------------------------------------
>
>                 Key: LUCENE-1889
>                 URL: https://issues.apache.org/jira/browse/LUCENE-1889
>             Project: Lucene - Java
>          Issue Type: Wish
>          Components: modules/highlighter
>            Reporter: Robert Muir
>            Priority: Minor
>         Attachments: LUCENE-1889.patch, LUCENE-1889.patch
>
>
> I am using fastvectorhighlighter for some strange languages and it is working well! 
> One thing i noticed immediately is that many query types are not highlighted (multitermquery, multiphrasequery, etc)
> Here is one thing Michael M posted in the original ticket:
> {quote}
> I think a nice [eventual] model would be if we could simply re-run the
> scorer on the single document (using InstantiatedIndex maybe, or
> simply some sort of wrapper on the term vectors which are already a
> mini-inverted-index for a single doc), but extend the scorer API to
> tell us the exact term occurrences that participated in a match (which
> I don't think is exposed today).
> {quote}
> Due to strange requirements I am using something similar to this (but specialized to our case).
> I am doing strange things like forcing multitermqueries to rewrite into boolean queries so they will be highlighted,
> and flattening multiphrasequeries into boolean or'ed phrasequeries.
> I do not think these things would be 'fast', but i had a few ideas that might help:
> * looking at contrib/highlighter, you can support FilteredQuery in flatten() by calling getQuery() right?
> * maybe as a last resort, try Query.extractTerms() ?

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