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
cream_ridge_winery is a winery	1111	06-jul-2018	100.0
san_diego_zoo_and_wild_animal_park is an aquarium	1111	06-jul-2018	100.0
maureen_smith is a U.S. politician	1111	06-jul-2018	100.0
pallas_study is a research project	1111	06-jul-2018	97.8
department_students is a victim	1111	06-jul-2018	100.0
washington_d_c_ is a city that lies on the river potomac	1113	15-aug-2018	100.0
european_countries is a generalization of bulgaria	1116	12-sep-2018	93.8
gujarati is the language of the country india	1115	03-sep-2018	93.8
college is an organization also known as southern	1111	06-jul-2018	99.6
movie_actors is a generalization of sigourney_weaver	1116	12-sep-2018	100.0