Hi Marco, Where might we find some statistics on the current accuracy of the automated claim and reference extractors? I assume that information must be in there somewhere, but I had trouble finding it.

This is a very ambitious project covering a very large technical territory (which I applaud). It would be great if your results could be synthesized a bit more clearly so we can understand where the weak/strong points are and where we might be able to help improve or make use of what you have done in other domains.

-Ben On Wed, Jun 15, 2016 at 9:06 AM, Marco Fossati &lt;fossati(a)spaziodati.eu <mailto:fossati@spaziodati.eu>> wrote: [Feel free to blame me if you read this more than once] To whom it may interest, Full of delight, I would like to announce the first beta release of *StrepHit*: https://github.com/Wikidata/StrepHit TL;DR: StrepHit is an intelligent reading agent that understands text and translates it into *referenced* Wikidata statements. It is a IEG project funded by the Wikimedia Foundation. Key features: -Web spiders to harvest a collection of documents (corpus) from reliable sources -automatic corpus analysis to understand the most meaningful verbs -sentences and semi-structured data extraction -train a machine learning classifier via crowdsourcing -*supervised and rule-based fact extraction from text* -Natural Language Processing utilities -parallel processing You can find all the details here: https://meta.wikimedia.org/wiki/Grants:IEG/StrepHit:_Wikidata_Statements_Va… https://meta.wikimedia.org/wiki/Grants:IEG/StrepHit:_Wikidata_Statements_Va… If you like it, star it on GitHub! Best, Marco _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org <mailto:Wikidata@lists.wikimedia.org> https://lists.wikimedia.org/mailman/listinfo/wikidata _______________________________________________ Wikidata mailing list Wikidata(a)lists.wikimedia.org https://lists.wikimedia.org/mailman/listinfo/wikidata