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Natalia (Fajne_Farita)
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User Details

User Since
Feb 26 2017, 8:31 PM (372 w, 1 d)
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Fajne Farita [ Global Accounts ]

Recent Activity

Dec 14 2018

Natalia added a comment to T200365: Explore alternative names for Jade data.

Every time people cannot find a proper term in a language they invent their own. So, jad?

Dec 14 2018, 3:14 AM · Machine-Learning-Team (Active Tasks), Jade

Nov 5 2018

Natalia added a comment to T208552: Fix translations of "judgment" concept.

@awight, I think you right and суд is not the best translation to Makedonian (to my Russian ear). Alternative: мислење
https://en.wiktionary.org/wiki/%D0%BC%D0%B8%D1%81%D0%BB%D0%B5%D1%9A%D0%B5

Nov 5 2018, 7:07 AM · Machine-Learning-Team, Jade

Aug 21 2018

Natalia added a comment to T200365: Explore alternative names for Jade data.

Evaluation (Eval) ?

Aug 21 2018, 5:31 AM · Machine-Learning-Team (Active Tasks), Jade

Aug 18 2017

Natalia added a comment to T172049: [Investigate] Get signal from adding/removing images.

the results:

Aug 18 2017, 11:59 PM · Machine-Learning-Team (Active Tasks), editquality-modeling, artificial-intelligence, revscoring
Natalia added a comment to T172049: [Investigate] Get signal from adding/removing images.

Seems like this feature is not very productive.
I ended up using the following regexes:

Aug 18 2017, 6:33 PM · Machine-Learning-Team (Active Tasks), editquality-modeling, artificial-intelligence, revscoring

Aug 14 2017

Natalia added a comment to T172049: [Investigate] Get signal from adding/removing images.

ok, this is my ver2:
from revscoring.features import revision_oriented, wikitext as wikitext_features
from revscoring.features.modifiers import sub
from revscoring.features.meta.aggregators import len
from revscoring.languages import english, features as language_features

Aug 14 2017, 6:54 PM · Machine-Learning-Team (Active Tasks), editquality-modeling, artificial-intelligence, revscoring

Aug 11 2017

Natalia added a comment to T172049: [Investigate] Get signal from adding/removing images.

For the infobox images strategy to be implemented in the most elegant way, it will require changes to both editquality and revscoring, which means two separate pull requests. Is that ok?
My plan is to add this into /feature_lists/enwiki.py
local_wiki = [ ....

sub(
    wikitext_features.revision.infobox_image_matching(
    r"(file|image\w*)\s*=\s*((file|image):)?([^\n\|]+.(jpe?g|png|gif|svg))"),
    wikitext_features.revision.parent.infobox_image_matching(
    r"(file|image\w*)\s*=\s*((file|image):)?([^\n\|]+.(jpe?g|png|gif|svg))"),
    name="enwiki.revision.wikilink.if_infobox_image_removed"
)

]

Aug 11 2017, 7:48 AM · Machine-Learning-Team (Active Tasks), editquality-modeling, artificial-intelligence, revscoring

Jul 31 2017

Natalia added a comment to T171493: Change "yes/no" in damaging_goodfaith form to "damaging/good" and "good-faith/bad-faith".

https://github.com/wiki-ai/wikilabels-wmflabs-deploy/pull/39

Jul 31 2017, 11:03 PM · artificial-intelligence, editquality-modeling, Wikilabels, Machine-Learning-Team (Active Tasks)

Jul 27 2017

GitHub <noreply@github.com> committed rOEQaf7a2126200c: Merge pull request #2 from FajneFarita/revert-1-new_features (authored by Natalia).
Merge pull request #2 from FajneFarita/revert-1-new_features
Jul 27 2017, 8:09 AM
GitHub <noreply@github.com> committed rOEQ9339c05e5432: Revert "New features" (authored by Natalia).
Revert "New features"
Jul 27 2017, 8:09 AM
GitHub <noreply@github.com> committed rOEQa9fc3eaa675d: Merge 0f604a35bdb008a891efe8d76a066cf53808e9cc into… (authored by Natalia).
Merge 0f604a35bdb008a891efe8d76a066cf53808e9cc into…
Jul 27 2017, 8:09 AM
GitHub <noreply@github.com> committed rOEQ0f604a35bdb0: Update fetch_labels.py (authored by Natalia).
Update fetch_labels.py
Jul 27 2017, 8:09 AM
GitHub <noreply@github.com> committed rOEQ7cf0cbdcf95e: Merge pull request #1 from FajneFarita/new_features (authored by Natalia).
Merge pull request #1 from FajneFarita/new_features
Jul 27 2017, 8:09 AM

Jul 26 2017

Natalia added a comment to T171491: Unlabeled goodfaith observations are assumed "false" -- should be "true".

For English wikipedia, the change to assuming goodfaith edit when the actual label is null worked well. The AUC score grew from 0.909 to 0.928:

Jul 26 2017, 10:15 PM · artificial-intelligence, editquality-modeling, Wikilabels, Machine-Learning-Team (Active Tasks)

Jul 25 2017

Natalia added a comment to T171497: Review training set to check strange examples of labels.

Here are some results of reviewing labels Damaging/Goodfaith and Damaging/Badfaith for enwiki and ruwiki: https://meta.wikimedia.org/wiki/Research_talk:Automated_classification_of_edit_quality/Work_log/2017-07-24#Labels.27_validity_test

Jul 25 2017, 12:12 AM · Machine-Learning-Team (Active Tasks), editquality-modeling, ORES, artificial-intelligence

Jul 24 2017

Natalia added a comment to T171493: Change "yes/no" in damaging_goodfaith form to "damaging/good" and "good-faith/bad-faith".

**a note to the design of the new buttons:

Jul 24 2017, 9:35 PM · artificial-intelligence, editquality-modeling, Wikilabels, Machine-Learning-Team (Active Tasks)