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
signal_recordings is a record label	1111	06-jul-2018	97.3
poker_star_texas is a board game	1111	06-jul-2018	100.0
jon_anderson is a musical artist	1111	06-jul-2018	99.0
maple_floors is something found in or on buildings	1111	06-jul-2018	98.9
monte_carlo_simulation is a scientific term	1111	06-jul-2018	100.0
left_coronary_artery arises from pulmonary_artery	1116	12-sep-2018	100.0
shanghai_museum is a museum in the city shanghai	1116	12-sep-2018	100.0
al_pacino starred in the movie scarface	1115	03-sep-2018	98.4
the country u_s__officials uses the currency won	1116	12-sep-2018	100.0
ectoparasites is a type of ticks	1116	12-sep-2018	100.0