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
ely_area is a monument	1111	06-jul-2018	100.0
liberties_education is a political issue	1111	06-jul-2018	92.9
internet_internet is a visualizable attribute	1111	06-jul-2018	100.0
line_pre_existing_condition_health_insurance is an economic sector	1111	06-jul-2018	99.9
palestinian_president_yasser_arafat is a terrorist organization	1111	06-jul-2018	99.5
vauxhall_park is a park in the city central_london	1116	12-sep-2018	100.0
wwor is a TV station in the city new_york	1116	12-sep-2018	100.0
sponges is a type of animals	1114	25-aug-2018	99.8
richard_nolte has brother charles_nolte	1114	25-aug-2018	100.0
iconic_characters is a generalization of james_dean	1115	03-sep-2018	100.0