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
david_worrall is a male	1111	06-jul-2018	90.3
n11_38_44 is a year	1111	06-jul-2018	92.2
yugoslav_national_army is a political organization that is not part of the government	1111	06-jul-2018	100.0
craig_neilson is an Australian person	1111	06-jul-2018	91.2
congenital_chloride_diarrhea is a disease	1111	06-jul-2018	100.0
foliage has color gold	1111	06-jul-2018	100.0
breakfast_pastries can be served with coffee	1116	12-sep-2018	93.8
the country u_s_ uses the currency dollars	1116	12-sep-2018	100.0
frank001 held the position of king	1116	12-sep-2018	100.0
lincoln_center_for_the_performing_arts is a museum in the city new_york	1116	12-sep-2018	100.0