[Corpora-List] Off-the-shelf coreference packages
Craig Pfeifer
craig.pfeifer at gmail.com
Mon Jul 18 19:29:28 UTC 2011
You could try the coreference module from the U Illinois Cognitive
Computation Group:
http://cogcomp.cs.illinois.edu/page/software_view/18
one caveat : "To train the coreference classifier, you will need
annotated training data such as the LDC's ACE 2004 corpus. "
______________
craig.pfeifer at gmail.com
On Mon, Jul 18, 2011 at 1:24 PM, Leon Derczynski <leon at dcs.shef.ac.uk> wrote:
> Hi,
>
> What off-the-shelf coreference resolution packages would you recommend? So
> far I have Arkref, Stanford coref and BART working, and all seem to produce
> unsatisfactory results too often to be useful in practice. Is this
> characteristic of the state of the art?
>
> The text that I am trying to process is plaintext English newswire, and the
> entity types that I am most interested in resolving correctly are people and
> organisations. However currently at least one major actor per document
> appears to be incorrectly conflated with another entity; the president of
> the USA with an aircraft carrier, or "sanctions" with a country. Any tips or
> links to downlaodable systems would be greatly appreciated.
>
> All the best,
>
>
> Leon
>
>
>
> --
> Leon R A Derczynski
> NLP Research Group
>
> Department of Computer Science
> University of Sheffield
> Regent Court, 211 Portobello
> Sheffield S1 4DP, UK
>
> +44 114 22 21931
> http://www.dcs.shef.ac.uk/~leon/
>
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