Comments (5)
I'm reluctant to support this, because it seems one too many representations. The roadmap is to support semantic role labels, constituency parse, and surface-syntactic dependencies.
I'll think about providing an API to restructure the parse tree, so that this can be supported by extension.
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I think semantic role labels and surface-syntactic dependencies should be enough for my use case.
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@honnibal semantic role labels would be awesome, what does the roadmap look like?
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Well, the good news is there's lots of good stuff coming. The bad news is
it's pushed SRL down a bit.
- Knowledge-based NER
- Multi-lingual
- Stablise 1.0 API
- Domain adaptation
- Theano integration, neural network models
- SRL
The better news is SRL isn't so much work, given recent research. If you
can put in a weekend or two we could probably get this done:
http://alt.qcri.org/semeval2014/cdrom/pdf/SemEval034.pdf
The idea is to learn the SRL as a projective tree, by giving up on some of
the relations.
What we need:
- Survey the papers implementing similar tree approximations
- Pick the best one
- Implement the data transform
If you can do that initial spadework, I'd be happy to run the experiments.
I can supply sample data for the transformation.
On Mon, Aug 24, 2015 at 7:45 PM, Scott Li [email protected] wrote:
@honnibal https://github.com/honnibal semantic role labels would be
awesome, what does the roadmap look like?—
Reply to this email directly or view it on GitHub
#60 (comment).
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