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
richard_wood is a visual artist	1111	06-jul-2018	100.0
gloria_palace_hotel is a place to ski	1111	06-jul-2018	94.2
john_wesley is an architect	1111	06-jul-2018	100.0
bloomington_ferry_trail_bridge is a bridge	1111	06-jul-2018	96.7
threads_magazine is a newspaper	1111	06-jul-2018	100.0
meyer graduated from college	1114	25-aug-2018	99.5
nintendo_ is a company that produces gamecube	1114	25-aug-2018	99.9
president_obama is a person who belongs to the organization house	1112	24-jul-2018	100.0
james_monroe is a politician who holds the office of secretary	1115	03-sep-2018	99.9
the sport baseball was played at n1978_world_series	1116	12-sep-2018	100.0