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
n2_corinthians_5_19 is an ethnic group	1111	06-jul-2018	96.1
cereal_crops_used_as_forage is a fruit	1111	06-jul-2018	92.5
american_woman_s_society is a professional organization	1111	06-jul-2018	100.0
air_popped_popcorn is a grain	1111	06-jul-2018	94.6
class_lounges is a machine-learning conference	1111	06-jul-2018	94.9
faulkner001 was born in boston	1116	12-sep-2018	100.0
decordova is a museum in the city lincoln	1116	12-sep-2018	96.9
house is a subpart of supply	1111	06-jul-2018	93.8
the home stadium of moises_alou is wrigley_field	1116	12-sep-2018	100.0
mizoram is a sate or province located in the country india	1116	12-sep-2018	100.0