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