Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
b__1857_1862 is a year	1111	06-jul-2018	100.0
colibri_ridge_winery is a winery	1111	06-jul-2018	100.0
pa_state_department is a part of the government	1111	06-jul-2018	95.0
n2_26_pm_1_comments is a dataset used within the scientific field of machine learning	1111	06-jul-2018	95.6
p__hindemith is a musician	1111	06-jul-2018	90.0
pennsylvania is a state that is bordered by the state western_new_york	1112	24-jul-2018	93.8
the_united_kingdom is an organization known by the acronym uk_	1116	12-sep-2018	96.9
citigroup_global_markets terminated the employment of vikram_s__pandit	1112	24-jul-2018	100.0
stephen_green works for hsbc	1111	06-jul-2018	100.0
uk_airports is a generalization of london_city	1115	03-sep-2018	99.8