Congratulations for this bold step towards the Singularity :-) As for tasks, basically everything us mere humans do in the Wikidata game: https://tools.wmflabs.org/wikidata-game/
Some may require text parsing. Not sure how to get that working; haven't spent much time with (artificial) neural nets in a while. On Sat, Mar 7, 2015 at 12:36 PM Amir Ladsgroup <[email protected]> wrote: > Some useful tasks that I'm looking for a way to do are: > *Anti-vandal bot (or how we can quantify an edit). > *Auto labeling for humans (That's the next task). > *Add more :) > > > On Sat, Mar 7, 2015 at 3:54 PM, Amir Ladsgroup <[email protected]> > wrote: > >> Hey, >> I spent last few weeks working on this lights off [1] and now it's ready >> to work! >> >> Kian is a three-layered neural network with flexible number of inputs and >> outputs. So if we can parametrize a job, we can teach him easily and get >> the job done. >> >> For example and as the first job. We want to add P31:5 (human) to items >> of Wikidata based on categories of articles in Wikipedia. The only thing we >> need to is get list of items with P31:5 and list of items of not-humans >> (P31 exists but not 5 in it). then get list of category links in any wiki >> we want[2] and at last we feed these files to Kian and let him learn. >> Afterwards if we give Kian other articles and their categories, he >> classifies them as human, not human, or failed to determine. As test I gave >> him categories of ckb wiki (a small wiki) and worked pretty well and now >> I'm creating the training set from German Wikipedia and the next step will >> be English Wikipedia. Number of P31:5 will drastically increase this week. >> >> I would love comments or ideas for tasks that Kian can do. >> >> >> [1]: Because I love surprises >> [2]: "select pp_value, cl_to from page_props join categorylinks on >> pp_page = cl_from where pp_propname = 'wikibase_item';" >> Best >> -- >> Amir >> >> > > > -- > Amir > > _______________________________________________ > Wikidata-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikidata-l >
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