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https://issues.apache.org/jira/browse/LUCENE-6664?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15633856#comment-15633856
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Steve Rowe commented on LUCENE-6664:
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bq. I think it means graph-producing stages must do their own flattening, to
resolve side-paths into equivalent flattened positions? But maybe we could
factor out a little thingy to share code.
+1
bq. If a side path spawns another side path it would get a new entity ID right?
I think so, yes, though that points to a problem: new entity IDs would have to
be produced without knowing which ones have already been used - otherwise a
filter would have to consume the whole stream before it could assign a new one.
I was assuming it would be one-up integers, but that won't work in this case.
Hmm.
> Replace SynonymFilter with SynonymGraphFilter
> ---------------------------------------------
>
> Key: LUCENE-6664
> URL: https://issues.apache.org/jira/browse/LUCENE-6664
> Project: Lucene - Core
> Issue Type: New Feature
> Reporter: Michael McCandless
> Assignee: Michael McCandless
> Attachments: LUCENE-6664.patch, LUCENE-6664.patch, LUCENE-6664.patch,
> LUCENE-6664.patch, usa.png, usa_flat.png
>
>
> Spinoff from LUCENE-6582.
> I created a new SynonymGraphFilter (to replace the current buggy
> SynonymFilter), that produces correct graphs (does no "graph
> flattening" itself). I think this makes it simpler.
> This means you must add the FlattenGraphFilter yourself, if you are
> applying synonyms during indexing.
> Index-time syn expansion is a necessarily "lossy" graph transformation
> when multi-token (input or output) synonyms are applied, because the
> index does not store {{posLength}}, so there will always be phrase
> queries that should match but do not, and then phrase queries that
> should not match but do.
> http://blog.mikemccandless.com/2012/04/lucenes-tokenstreams-are-actually.html
> goes into detail about this.
> However, with this new SynonymGraphFilter, if instead you do synonym
> expansion at query time (and don't do the flattening), and you use
> TermAutomatonQuery (future: somehow integrated into a query parser),
> or maybe just "enumerate all paths and make union of PhraseQuery", you
> should get 100% correct matches (not sure about "proper" scoring
> though...).
> This new syn filter still cannot consume an arbitrary graph.
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