Some may require text parsing. Not sure how to get that working; haven't spent much time with (artificial) neural nets in a while.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/
On Sat, Mar 7, 2015 at 12:36 PM Amir Ladsgroup <ladsgroup@gmail.com> wrote:_______________________________________________*Auto labeling for humans (That's the next task).Some useful tasks that I'm looking for a way to do are:*Anti-vandal bot (or how we can quantify an edit).
*Add more :)On Sat, Mar 7, 2015 at 3:54 PM, Amir Ladsgroup <ladsgroup@gmail.com> wrote: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.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.Hey,I spent last few weeks working on this lights off [1] and now it's ready to work!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
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