Hi Reinhard,
what heuristics are you referring to? Surface form and total occurrence
counts are collected in the same way as in pignlproc if this is what you
mean.
This should not have much influence on the models, however.
Best,
Joachim
On Thu, Jan 21, 2016 at 4:00 PM, reinhard schwab <[email protected]>
wrote:
> Hello,
>
> as I am aware there is some heuristics built into the pig scripts for
> extracting the data needed.
> This tool is using the same heuristics?
>
> Regards
> Reinhard Schwab
>
>
> On 21.01.2016 12:19, Joachim Daiber wrote:
>
> Dear Spotlight users and developers,
>
> we are happy to announce that there will be automatic Spotlight model and
> data builds, which will be available from [2] once a month.
>
> This is possible thanks to the wikistatsextractor tool by diffbot.com,
> which brings the total training time on a single machine (with SSD and 32GB
> RAM) down to about 3h for our biggest model (English).
>
> Call for Evaluation
>
> So far, we have not thoroughly tested the new models. Therefore, we invite
> you to test and let us know of any problems. Further, we would like to have
> comparable automatic evaluation for the monthly releases. If you have
> evaluation scripts/data that you would like to be run as part of the build,
> please send a pull request at [3]. The script eval.sh [4] is run after all
> models are built and should write a file eval.txt into each model folder.
>
> If your language is missing from the build, please add it here [5].
>
> Thanks to Thiago Galery and Diffbot for their help in setting this up.
>
> Best,
> Joachim
>
> [1] https://github.com/diffbot/wikistatsextractor
> [2] http://spotlight.sztaki.hu/downloads/
> [3] https://github.com/dbpedia-spotlight/model-quickstarter
> [4]
> https://github.com/dbpedia-spotlight/model-quickstarter/blob/master/eval.sh
> [5]
> https://github.com/dbpedia-spotlight/model-quickstarter/blob/master/run.sh
>
>
>
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