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
n1_corinthians_6_7 is an ethnic group	1111	06-jul-2018	95.5
hinged_closet_doors is something found in or on buildings	1111	06-jul-2018	98.5
credit_home_mortgage_loans is a building	1111	06-jul-2018	92.8
burlington_county_college is a school	1116	12-sep-2018	100.0
chippewas is a sports team	1111	06-jul-2018	100.0
new_england_patriots is a sports team that plays the sport football	1116	12-sep-2018	100.0
audi makes the automobile audi_tt	1114	25-aug-2018	99.3
ricky_jean_francois plays the athletic team position player	1115	03-sep-2018	100.0
hillary has husband president_bill_clinton001	1116	12-sep-2018	96.9
dallas_love_field is an attraction that will be fall in city dallas	1116	12-sep-2018	98.4