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GitHub - HazyResearch/snorkel: A system for quickly generating training data with weak supervision
A system for quickly generating training data with weak supervision - HazyResearch/snorkel
datascience  tools  labeling 
yesterday by arnicas
Twitter
RT : So here we go. How about we respond collectively to that consultation on and ?

Plea…
labeling  security  iot  from twitter
11 weeks ago by mrchrisadams
Inmates in Finland are training AI as part of prison labor - The Verge
"Prison labor” is usually associated with physical work, but inmates at two prisons in Finland are doing a new type of labor: classifying data to train artificial intelligence algorithms for a startup. (..)

Vainu is building a comprehensive database of companies around the world that helps businesses find contractors to work with, says co-founder Tuomas Rasila. For this to work, people need to read through hundreds of thousands of business articles scraped from the internet and label whether, for example, an article is about Apple the tech company or a fruit company that has “apple” in the name. (This labeled data is then used to train an algorithm that manages the database.)"
machinelearning  dataentry  labeling  finland  prison 
april 2019 by gohai
Helpful Tips for Marking Parts with Steel Hand Stamps
If you're marking (4) 1/4" tall characters at once using a steel hand stamp, the pressure needed will be approximately 12.6 tons. This amount of force would require the use of a 3 to 3-1/2 lb. marking hammer.
tool  marking  stamping  label  labeling 
april 2019 by aaronbeekay
[1812.00417] Snorkel DryBell: A Case Study in Deploying Weak Supervision at Industrial Scale
Automating labeling of training data for machine learning, using Snorkel Drybell, an addon to Snorkel, an open source data labeling and management system
training  data  automated  labeling  snorkel  drybell  algorithm  research  google  deep  machine  learning 
march 2019 by asteroza
Wiki labels - Meta
Only for Wikipedia: “Wiki labels is a human computation system for use in "Wiki labels" WikiProjects. In order to perform difficult analyses (e.g. measuring the quality of newcomers over time[1]) and train intelligent wiki-tools like ORES (e.g. for detecting vandalism[2][3][4] and assessing the quality of articles[5][6][7]), we need labeled data (also known as "hand coding") and lots of it. The Wiki labels human computation system is designed to make collaboratively labeling wiki artifacts quick and easy. The system is implemented as a MediaWiki gadget/server pair in JavaScript/CSS and Python/Flask/Postgres.”
wiki  mediawiki  research  tool  ORES  labeling  coding  human_computation  mixed_method 
january 2019 by junkie.dolphin
Human computation scaling for measuring meaningful latent traits in political texts | Jacob Montgomery
In this paper, we develop and validate an innovative “human computation” method for encoding political texts that preserves much of the reliability of automated methods while leveraging the superior ability of humans to read and understand natural language. We validate the method with online movie reviews, open-ended survey responses, advertisements for U.S. Senate candidates, and State Department reports on human rights. The framework we present is quite general, and we provide software to help researchers interact easily with online workforces to extract meaningful measures from texts.
coding  mixed_methods  research  tools  analysis  labeling 
january 2019 by junkie.dolphin

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