[Corpora-List] Off-the-shelf coreference packages

[Jason Eisner]

Reconcile was released last year as an common platform for coref, with
up-to-date methods and good performance out of the box.
http://www.cs.utah.edu/nlp/reconcile/

"Reconcile is an automatic coreference resolution system that was developed
to provide a stable test-bed for researchers to implement new ideas quickly
and reliably. It achieves roughly state of the art performance on many of
the most common coreference resolution test sets, such as MUC-6, MUC-7, and
ACE. Reconcile comes ready out of the box to train and test on these common
data sets (though the data sets are not provided) as well as the ability to
run on unlabeled texts. Reconcile utilizes supervised machine learning
classifiers from the Weka toolkit, as well as other language processing
tools such as the Berkeley Parser and Stanford Named Entity Recognition
system.   The source language is Java, and it is freely available under the
GPL."

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/ <http://www.dcs.shef.ac.uk/%7Eleon/>
>
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