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
bloomington_ferry_trail_bridge is a bridge	1111	06-jul-2018	96.7
student_government_association_senator is a job position	1111	06-jul-2018	97.9
nebraska_rural_community_federal_credit_union is a credit union	1111	06-jul-2018	100.0
atelier_winery is a winery	1111	06-jul-2018	100.0
beautiful_ice is a weather phenomenon	1111	06-jul-2018	98.9
the coach troy_smith won the trophy or tournament super_bowl	1115	03-sep-2018	100.0
oregon is a state that is bordered by the state washington	1113	15-aug-2018	100.0
thumb is a subpart of blood	1111	06-jul-2018	96.9
latissimus_dorsi a muscle located in bodypart back	1115	03-sep-2018	99.7
john_kerry is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	96.4